The Complex Character of Amanda in The Glass Menagerie Essay example --

The Complex Character of Amanda in The Glass Menagerie    Amanda Wingfield in The Glass Menagerie furnishes an excellent example of a carefully crafted, complex character whose speech and action arise from the "psychological" being created by the playwright. In his character description, Tennessee Williams starts his reader on the road to discovering Amanda's complexity. AMANDA WINGFIELD the mother. A little woman of great but confused vitality clinging frantically to another time and place. Her characterization must be carefully created, not copied from type. She is not paranoiac, but her life is paranoia. There is much to admire in Amanda, and as much to love and pity as there is to laugh at. Certainly she has endurance and a kind of heroism, and though her foolishness makes her unwittingly cruel at times, there is tenderness in her slight person. (Williams 781) â€Å"Before the first lines are spoken Amanda's complexity is established†(Falk 126) by the nuances and contrasts given here. This basic description must be laid over all dialogue and action throughout the play so as to preserve the fullness of Amanda's character at times when only portions of her nature are being exhibited.   Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚  Ã‚   The complexity of Amanda's character directly affects her action and dialogue with her children. In her role as mother she exhibits an overwhelming desire to see her children succeed in life. In trying to... ...ding Plays. Boston: Allyn, 1990. 307-314. Bigsby, C.W.E. A Critical Introduction to Twentieth-Century American Drama. Vol. 2. Cambridge: Cambridge UP, 1984. Falk, Signi. "The Southern Gentlewoman." Modern Critical Interpretations Tennessee Williams The Glass Menagerie. ed. Harold Bloom. NY: Chelsea House Publishers, 1988. Jackson, Esther Merle. The Broken World of Tennessee Williams. Madison: & of Wisconsin P, 1965. Parker, R.B., ed. Twentieth Century Interpretations of The Glass Menagerie. Englewood Cliffs: Prentice, 1983. Williams, Tennessee. The Glass Menagerie. Masterpieces of the Drama. Ed. Alexander W. Allison, Arthus J. Carr, Arthur M. Eastman. 5th ed. NY: Macmillan, 1986. 779- 814.

Environmental issues Essay

Nowadays, environmental issues are rapidly raising concerns and awareness to the society. It is good to know that problems involving environmental neglect and degradation are a problem of environmentalists no more, but also of politicians and ordinary citizens as well. Say, we should analyze a hypothetical problem regarding the issuance of business license in a local western coast, where two pre-dominant businesses already exist, a bait fish fishery of pilchards and an oyster lease. There are two promising businesses vying for the license, a Tuna Cage Farm and a Dolphin Swim Tourism Project. Both of the new establishments would create added benefits and disadvantages to the area and the pre-existing businesses, so the choice should be carefully examined. Primarily, the bait fishery in the western coast consists of pilchards. Pilchards are any of various small marine fishes especially the commercially important edible species. These pilchards are caught throughout the year, mostly during the night, using purse seine nets. The nets are pursed and drawn to an area adjacent to the vessel, and fish are removed from the net with pumps and placed in the hold of the boat. In layman’s term, pilchards have a wild capture. Unlike the wild pilchard capture, the tuna harvest is spawned in floating cages. Since it is a controlled environment, the unutilized feed components in the cages usually accumulate in the ambient water columns and substantially alter the benthic environment for the fishes. The toxic wastes from tuna cages caused massive pilchard mortalities, as shown in 1995 and 1998 incidents. Furthermore, the toxic wastes spread far at a rapid pace, about 500 km in 20 days, as shown in graph. The Dolphin Swim project, on the other hand, would introduce more boats that might disrupt the spawning season of the pilchards. There is also a probability that dolphins would consider the pilchards as prey. But aside from that, the dolphins can co-exist peacefully with the pilchards. The benthic area is preserved and the probable food cycle is just a natural process. Moreover, the industry in the coast will be promoted. Comparatively, it is evidently more harmful to facilitate a tuna cage farm with a co-existing pilchard industry; thus, the Dolphin Swim project should be favored. The decision was based on two significant aspects; which business is economically efficient while remaining ecologically sustainable. The Dolphin Swim Industry fulfilled these criteria.

A Note on the Growth of Research in Service Operations Management

PRODUCTION AND OPERATIONS MANAGEMENT Vol. 16, No. 6, November-December 2007, pp. 780 –790 issn 1059-1478 07 1606 780$1. 25 POMS doi 10. 3401/poms.  © 2007 Production and Operations Management Society A Note on the Growth of Research in Service Operations Management Jeffery S. Smith †¢ Kirk R. Karwan †¢ Robert E. MarklandDepartment of Marketing, Florida State University, Rovetta Business Building, Tallahassee, Florida 32306, USA Department of Business and Accounting, Furman University, 3300 Poinsett Highway, Greenville, South Carolina 29613, USA Management Science Department, Moore School of Business, University of South Carolina, 1705 College Street, Columbia, South Carolina 29208, USA [email  protected] fsu. edu †¢kirk. [email  protected] edu †¢[email  protected] sc. edu e present an empirical assessment of the productivity of individuals and institutions in terms of service operations management (SOM) research.We reviewed ? ve mainstream operation s management journals over a 17-year time period to generate a sample of 463 articles related to service operations. The results indicate that SOM research has been growing and key contributions are being made by an array of researchers and institutions. Key words: research productivity; research review; service operations Submissions and Acceptance: Original submission: Received November 2005; revisions received July 2006 and October 2007; accepted October 2007 by Aleda Roth. W 1. IntroductionThe transformation of industrialized economies from a manufacturing base to a service orientation is a continuing phenomenon. The trend is readily apparent in the United States where, by virtually all accounts, over 80% of private sector employment is engaged in some sort of service work (Karmarkar, 2004). Despite this, observers of research in operations management (OM) have long been critical of the ? eld for not transitioning in a similar manner. One study by Pannirselvam et al. (1999) revi ewed 1,754 articles between 1992 and 1997 in seven key OM journals and reported only 53 (2. 7%) addressed service-related problems.Roth and Menor (2003) also voiced concern about a paucity of research in presenting a Service Operations Management (SOM) research agenda for the future. Regardless of the exact ? gures, there is clearly enormous potential and need for research in the service operations arena. Recent developments within the discipline are encouraging. For example, Production and Operations Management (POM) and the Production and Operations Management Society (POMS) have taken several steps to facilitate research in service operations. First, the journal recently published three focused issues on 780 service operations.Second, POMS created a society subdivision, the College of Service Operations, that has hosted several national and international meetings. Finally, the journal now has an autonomous editorial department dedicated to service operations. Other initiatives to promote the service operations management ? eld include the establishment of IBM’s Service Science, Management, and Engineering initiative (Spohrer et al. , 2007) and the Institute for Operations Research and Management Science Section on Service Science. To a large extent, the service operations ? eld has long been considered to occupy a niche within operations management.If service operations management researchers are to establish themselves ? rmly within the OM community, it is our contention that their theoretical contributions to leading academic journals must be more widely recognized and their relevance to practice acknowledged. As a part of the effort to encourage this progress, the purpose of this note is twofold: (1) to demonstrate that published work in the key operations journals is indeed showing an upward trend and (2) to facilitate research of individual scholars by identifying the individuals and institutions that have contributed most to the ? ld of service operations. Smith, Karwan, and Markland: Growth of Research in Service Operations Management Production and Operations Management 16(6), pp. 780 –790,  © 2007 Production and Operations Management Society 781 2. Methodology and Results Although much more complex mechanisms exist to measure â€Å"contribution,† we relied on a straightforward approach to assess contributions by individuals and institutions. We considered four issues: (1) the time frame for the review, (2) the journals to be included, (3) the metric for productivity, and (4) the means to identify the articles to be included.First, we selected a 17-year time frame beginning with 1990 and running through 2006 because we believed that this interval would provide a comprehensive picture of the service operations ? eld as it has developed, as well as an opportunity to detect any overall trends. Next, we limited our assessment to the outlets identi? ed by the University of Texas at Dallas as the premier journ als in operations management (see http://citm. utdallas. edu/ utdrankings/).These include 3 journals dedicated to OM, the Journal of Operations Management (JOM), Manufacturing and Service Operations Management (MSOM), and POM, and two multidisciplinary journals, Management Science (MS) and Operations Research (OR). Third, we assessed scholarly productivity by counting the number of research articles attributable to both individuals and their academic institutions, assigning a weight of 1/n to an author and his or her institution if an article had multiple (â€Å"n†) authors. The ? al issue to determine was what constituted a SOM article. We ? rst eliminated any article or research note that centered on agriculture, mining, or manufacturing. Then, two authors served as independent judges to determine whether an article employed an operations focus while addressing a service-speci? c problem or situation. In cases where there was disTable 1 Year 1990 1991 1992 1993 1994 1995 19 96 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 Totals Service % agreement between the two raters, the third author made the ? al decision. Consequently, an article was excluded if it developed a generic operations model or involved an operations topic that was discussed in a general way and was applicable in either a manufacturing or a service environment. When an article made speci? c reference to service contexts and elaborated on them, it was included. To clarify this point, consider the case of an article investigating an inventory-positioning policy between a manufacturer and a series of retailers.The article would be included as pertaining to service operations if it took the perspective of the retail operation but would be excluded if it took the manufacturing viewpoint. Using this methodology, we identi? ed 463 distinct service operations articles (see the Appendix for a complete list) and recorded information on the author(s) and author af? liation(s) at the time of p ublication. The numerical summary of articles is shown in Table 1, with each journal’s share of service operations articles.Over the 17-year period JOM, MSOM, and POM all exceeded 15% of service articles with respect to the total number of articles published, with OR and MS publishing somewhat smaller percentages. Additionally, there is an upward trend in the total number of service articles appearing in all ? ve journals, with a marked increase in the past 3 years (see Figure 1). With regard to JOM and POM, part of this move is attributable to the publication of special issues, which is a positive development because it demonstrates a heightened emphasis originating at the editorial level.The total number of individuals appearing in the sample pool was 799. In Table 2, we list 27 individuals Distribution of Service Operations Publications by Selected Journal and Year JOM 4 1 n/a 2 1 4 3 1 3 3 6 5 8 3 7 11 13 75 15. 4 MS 3 9 5 4 5 12 4 8 11 15 5 7 3 4 11 16 13 135 6. 5 MSOM n /a n/a n/a n/a n/a n/a n/a n/a n/a 0 3 5 3 1 5 5 6 28 16. 8 OR 10 5 10 12 6 8 6 7 10 5 9 5 8 6 11 16 16 150 10. 1 POM n/a n/a 3 1 2 3 3 2 3 11 2 4 4 14 11 3 9 75 17. 9 Total 17 15 18 19 14 27 16 18 27 34 25 26 26 28 45 51 57 463 Service % 7. 0 6. 7 6. 6 7. 8 5. 9 8. 9 6. 3 7. 0 9. 2 12. 5 9. 0 9. 2 8. 8 10. 7 15. 17. 2 17. 2 10. 0 Note. n/a (not applicable) indicates that no issue was published in the speci? c journal in the target year; totals indicate the sum of all service operations articles in the noted year/journal; service % indicates the representation of service articles in comparison to the total number of articles published. 782 Figure 1 Smith, Karwan, and Markland: Growth of Research in Service Operations Management Production and Operations Management 16(6), pp. 780 –790,  © 2007 Production and Operations Management Society Distribution of Service Articles over the Investigation Period 70Number of Service Articles 60 50 40 30 20 10 2001 2004 1990 1993 1995 1998 2000 2002 2003 1994 1999 1991 1992 1996 1997 Year who contributed the most articles on SOM in the ? ve journals. We conducted the same analysis by institution, and it resulted in 343 organizations appearing in the sample. Columbia University contributed the most articles, with a score of 16. 17. Massachusetts Institute of Technology, the University of Minnesota, and the University of Pennsylvania followed with productivity scores greater than 12. Table 3 lists the remainder of the 26 most productive institutions.Although clearly dependent upon the journals within the sample, an important conclusion that might Table 2 Name Ward Whitt Gary Thompson Stefanos Zenios Scott Sampson Richard Chase Arnold Barnett Kenneth Boyer Arthur Hill Aleda Roth Robert Shumsky Dimitris Bertsimas Susan Meyer Goldstein Julie Hays Ananth Iyer Andreas Soteriou Cynthia Barnhart Vishal Gaur Deborah Kellogg Larry Jacobs Marshall Fisher Francois Soumis William L Cooper Jean Harvey Serguei Netessine Gerard Cacho n Kingshuk Sinha Avishai Mandelbaum Individual Author Contributions Productivity score 8. 0 5. 50 3. 33 3. 33 3. 17 2. 90 2. 67 2. 67 2. 67 2. 53 2. 50 2. 50 2. 50 2. 50 2. 50 2. 42 2. 33 2. 25 2. 20 2. 17 2. 03 2. 00 2. 00 2. 00 1. 83 1. 83 1. 83 be drawn from Tables 2 and 3 is that the key contributions in SOM research are diverse and originate from a broad array of authors and institutions. Many of these authors and institutions are known to approach the ? eld from normative or prescriptive perspectives and others from more empirical or descriptive perspectives.In fact, Gupta, Verma, and Victorino (2006) recently noted that much of the growth in service research has come from studies that completely or partially employed empirical research methodologies. This increased emphasis on empirical studies bodes well for the â€Å"new† and growing ? eld. Table 3 Institution Institutional Contributions Productivity score 16. 17 16. 05 13. 41 12. 17 8. 75 8. 15 6. 75 6. 67 6. 67 6. 17 5. 77 5. 67 5. 67 5. 58 5. 50 5. 42 4. 95 4. 87 4. 75 4. 70 4. 50 4. 50 4. 42 4. 33 4. 33 4. 08Columbia University Massachusetts Institute of Technology University of Minnesota University of Pennsylvania University of Southern California Michigan State University University of Texas at Austin Stanford University Purdue University Cornell University Carnegie Mellon University University of North Carolina at Chapel Hill Georgia Institute of Technology University of Utah New York University Harvard University Northern Illinois University University of Rochester Southern Methodist University Naval Postgraduate School AT&T University of Cyprus University of California at Los Angeles University of Maryland Vanderbilt University University of Michigan 2006 2005Smith, Karwan, and Markland: Growth of Research in Service Operations Management Production and Operations Management 16(6), pp. 780 –790,  © 2007 Production and Operations Management Society 783 3. Concluding Comments â € ¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ A variety of forces appear to be stimulating a longexpected increase in research emphasis on service operations management. Because service organizations and issues increasingly dominate the global economy, a greater emphasis on SOM research seems important and inevitable. With operations management journals and related professional societies simultaneously providing visibility for researchers and their efforts, it is likely that we will move forward toward a clearer and more robust SOM research paradigm.Acknowledgments We thank the anonymous reviewers and the editorial team for their insightful comments on earlier drafts of this paper. †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Appendix Journal of Operations Management †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Davis, 1990, An analysis of customer satisfaction with waiting times in a two-stage service process. Mabert, 1990, Measuring the impact of part-time workers in service organizations. Mersha, 1990, Enhancing the customer contact model. Thompson, 1990, Shift scheduling in services when employees have limited availability. Haynes, 1991, Management of technology in service ? rms. Banker, 1993, Integrated system design and operational decisions for service sector outlets.Thompson, 1993, Accounting for the multi-period impact of service when determining employee requirements for labor scheduling. Rajagopalan, 1994, Retail stocking decisions with order and stock sales. Heineke, 1995, Strategic operations management decisions and professional performance in U. S. HMOs. Karmarkar, 1995, Service markets and competition. Kellogg, 1995, A framework for strategic service management. Thompson, 1995, Labor scheduling using NPV estimates of the marginal bene? t of additional labor capacity. Archer, 1996, Consumer response to service and product quality. Butler, 1996, The operations management role in hospital strategic planning. Klassen, 1996, Scheduling outpatient appointments in a dynamic environment.Youngdahl, 1997, The relationship between service customers’ quality assurance behaviors, satisfaction, and effort. Harvey, 1998, Service quality. Narasimhan, 1998, Reengineering service operations. Soteriou, 1998, Linking the customer contact model to service quality. Simons, 1999, Process design in a down-sizing service operation. Smith, 1999, The relationship of strategy, ? t, productivity, and business performance in a services setting. Stank, 1999, Effect of service supplier performance on †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ satisfaction and loyalty of store managers in the fast food industry. Ketzenberg, 2000, Inventory policy for dense retail outlets. Metters, 2000, A typology of de-coupli ng strategies in mixed services.Miller, 2000, Service recovery. Sarkis, 2000, An analysis of the operational ef? ciency of major airports in the United States. Seung-Chul, 2000, Flexible bed allocation and performance in the intensive care unit. Verma, 2000, Con? gurations of low-contact services. Boone, 2001, The effect of information technology on learning in professional service organizations. Hays, 2001, A preliminary investigation of the relationships between employee motivation/vision, service learning, and perceived service quality. McFadden, 2001, Operations safety. Meyer-Goldstein, 2001, An empirical test of the causal relationships in the Baldrige Health Care Pilot Criteria.Pullman, 2001, Service design and operations strategy formulation in multicultural markets. Boyer, 2002, E-services. Cook, 2002, Human issues in service design. Hill, 2002, Research opportunities in service process design. Li, 2002, The impact of strategic operations management decisions on community ho spital performance. Menor, 2002, New service development. Meyer-Goldstein, 2002, The effect of location, strategy, and operations technology on hospital performance. Meyer-Goldstein, 2002, The service concept. Simons, 2002, A case study of batching in a mass service operation. Detert, 2003, The measurement of quality management culture in schools. Sa? zadeh, 2003, An empirical analysis of ? ancial services processes with a front-of? ce or back-of? ce orientation. Youngdahl, 2003, Revisiting customer participation in service encounters. Frohle, 2004, New measurement scales for evaluating perceptions of the technology-mediated customer service experience. Pagell, 2004, Assessing the impact of alternative manufacturing layouts in a service setting. Rabinovich, 2004, Physical distribution service quality in internet retailing: Service pricing, transaction attributes, and ? rm attributes. Stuart, 2004, Toward an integrative approach to designing service experiences. Sun, 2004, Assessing joint maintenance shops in the Taiwanese Army using data envelop analysis.Tucker, 2004, The impact of operational failures on hospital nurses and their patients. Zhao, 2004, Quality management and organizational context in selected service industries of China. Boyer, 2005, Extending the supply chain. Chesteen, 2005, Comparing quality of care in non-pro? t and for-pro? t nursing homes. Jambulingam, 2005, Entrepreneurial orientation as a basis for classi? cation within a service industry. 784 †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Smith, Karwan, and Markland: Growth of Research in Service Operations Management Production and Operations Management 16(6), pp. 780 –790,  © 2007 Production and Operations Management Society †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢Kimes, 2005, An evaluation of heuristic methods for determining the best table mix in full-se rvice restaurants. Meyer-Goldstein, 2005, Linking publicness to operations management practices. Narasimhan, 2005, Ef? cient service location design in government services. Olson, 2005, Operational, economic and mission elements in not-for-pro? t organizations. Thirumalai, 2005, Customer satisfaction with order ful? llment in retail supply chains. Thompson, 2005, Using information on unconstrained student demand to improve university course schedules. Voss, 2005, Managerial choice and performance in service management. Wisner, 2005, The service volunteer–loyalty chain.Apte, 2006, Analysis and improvement of delivery operations at the San Francisco public library. Boyer, 2006, Customer behavioral intentions for online purchases. de Treville, 2006, Applying operations management logic and tools to save lives. Dilts, 2006, Impact of role in the decision to fail. Gowen, 2006, Exploring the ef? cacy of healthcare quality practices, employee commitment, and employee control. Hays, 2006, Service guarantee strength. Hume, 2006, Understanding the service experience in nonpro? t performing arts. Karwan, 2006, Integrating service design principles and information technology to improve delivery and productivity in public sector operations. Li, 2006, Hospital technology and nurse staf? ng management decisions.Sampson, 2006, Optimization of volunteer labor assignments. Simpson, 2006, Modeling of residential structure ? re response. Sulek, 2006, Measuring performance in multi-stage service operations. Verma, 2006, Using a market-utility-based approach to designing public services. †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Management Science †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Batta, 1990, Covering-location models for emergency situation that require mult iple response units. Bechtold, 1990, Implicit modeling of ? exible break assignments in optimal shift scheduling. Psaraftis, 1990, Routing and scheduling on a shoreline with release times. Abramson, 1991, Constructing school timetables using simulated annealing.Bard, 1991, Designing telecommunications networks for the reseller market. Domich, 1991, Locating tax facilities. Easton, 1991, Suf? cient working subsets for the tour scheduling problem. Jagannathan, 1991, Storing crossmatched blood. Lovell, 1991, The allocation of consumer incentives to meet simultaneous sales quotas. Mandell, 1991, Modeling effectiveness– equity trade-offs in public service delivery systems. Ray, 1991, Resource-use ef? ciency in public schools. Simms, 1991, An information processing model of a police organization. Gleeson, 1992, Renovation of public housing. Ho, 1992, Minimizing total cost in scheduling outpatient appointments.Rabinowitz, 1992, A nonlinear heuristic short-term model for hydroelectri c energy production. Sherali, 1992, An integrated simulation and dynamic programming approach for determining optimal runway exit locations. Whitt, 1992, Understanding the ef? ciency of multi-server service systems. Grabowski, 1993, An expert system for maritime pilots. Graves, 1993, Flight crew scheduling. Hoffman, 1993, Solving airline crew scheduling problems by branch-and-cut. Moskowitz, 1993, A multistage screening model for evaluation and control of misclassi? cation error in the detection of hypertension. Brimberg, 1994, Economic development of groundwater in arid zones with applications to the Negev Desert, Israel.Jarrah, 1994, Equipment selection and machine scheduling in general mail facilities. Jarrah, 1994, Solving large-scale tour scheduling problems. Krass, 1994, A network model to maximize Navy personnel readiness and its solution. Lynch, 1994, Regulatory measurement and evaluation of telephone service quality. Apte, 1995, Global disaggregation of information-intensiv e services. Darr, 1995, The acquisition, transfer, and depreciation of knowledge in service organizations. Fladmoe-Lindquist, 1995, Control modes in international service operations. Kellogg, 1995, Constructing an empirically derived measure for customer contact. McLaughlin, 1995, Professional service organizations and focus.O’Kelley, 1995, Lower bounds for the hub location problem. Peterson, 1995, Models and algorithms for transient queuing congestions at airports. Roth, 1995, Strategic determinants of service quality and performance. Sampson, 1995, Increasing service levels in conference and educational scheduling. Sulek, 1995, The impact of a customer service intervention and facility design on ? rm performance. Swersey, 1995, An integer programming model for locating vehicle emissions testing stations. Thompson, 1995, Improved implicit optimal modeling of the labor shift scheduling problem. Ahn, 1996, Involving patients in the cadaveric kidney transplant allocation proces s. Dittus, 996, Medical resident work schedules. Gerchak, 1996, Reservation planning for elective surgery under uncertain demand for emergency surgery. Jacobs, 1996, Overlapping start-time bands in implicit tour scheduling. Smith, Karwan, and Markland: Growth of Research in Service Operations Management Production and Operations Management 16(6), pp. 780 –790,  © 2007 Production and Operations Management Society †¢ †¢ †¢ †¢ †¢ †¢ 785 †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Archibald, 1997, An optimal policy for a two depot inventory problem with stock transfer. Desaulniers, 1997, Daily aircraft routing and scheduling. Eisenstein, 1997, Garbage collection in Chicago.Gavish, 1997, LEOS—Optimal satellite launch policies. Mukhopadhyay, 1997, Information technology impact on process ou tput and quality. Sherali, 1997, Static and dynamic time-space strategic models and algorithms for multilevel rail-car ? eet management. Sueyoshi, 1997, Measuring ef? ciencies and returns to scale of Nippon Telegraph & Telephone in production and cost analyses. Wilhelm, 1997, Prescribing tactical response for oil spill cleanup operations. Athanassopoulos, 1998, Decision support for target-based resource allocation of public services in multiunit and multilevel systems. Berk, 1998, The impact of discharge decisions on health care quality.Brusco, 1998, Personnel tour scheduling when startingtime restrictions are present. Gilbert, 1998, Incentive effects favor nonconsolidating queues in a service system. Laguna, 1998, Applying robust optimization to capacity expansion of one location in telecommunications with demand uncertainty. Lewis, 1998, Staf? ng and allocation of workers in an administrative of? ce. Lipscomb, 1998, Combining expert judgment by hierarchical modeling. Lobel, 1998, Vehicle scheduling in public transit and Lagrangean pricing. Mandelbaum, 1998, On pooling in queuing networks. Reddy, 1998, SPOT: Scheduling programs optimally for television. Shumsky, 1998, Optimal updating of forecasts for the timing of future events.Barnett, 1999, A â€Å"parallel approach† path to estimating collision risk during simultaneous landings. Campbell, 1999, Cross-utilization of workers whose capabilities differ. Frei, 1999, Process variation as a determinant of bank performance. Gardner, 1999, Planning electric power systems under demand uncertainty with different technology lead times. Gawande, 1999, Measures of effectiveness for governmental organizations. Grifell-Tatje, 1999, Pro? ts and productivity. Grosskophf, 1999, Anticipating the consequences of school reform. Krishnan, 1999, Customer satisfaction for ? nancial services. Myung, 1999, Design of communication networks with survivability constraints. Soteriou, 1999, Operations, quality, and pro? ability i n the provision of banking services. van Ryzin, 1999, On the relationship between inventory costs and variety bene? ts in retail assortments. Whitt, 1999, Improving service by informing customers about anticipated delays. †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Whitt, 1999, Partitioning customers into service groups. Whitt, 1999, Predicting queuing delays. Ziarati, 1999, A branch-? rst, cut-second approach for locomotive assignment. Brusco, 2000, Optimal models for meal-break and starttime ? exibility in continuous tour scheduling. Johnson, 2000, Decision support for a housing mobility program using a multiobjective optimization model.Park, 2000, Telecommunication node clustering with node compatibility and network survivability requirements. Van Ryzin, 2000, Revenue management without forecasting or optimization. Zenios, 2000, Managing the delivery of dialysis therapy. Aksin, 2001, Modeling a phone center. Bonser, 2001, Procurement planning to maintain both short-term adaptiveness and long-term perspective. Fischetti, 2001, A polyhedral approach to simpli? ed crew scheduling and vehicle scheduling problems. Kara, 2001, The latest arrival hub location problem. Oliva, 2001, Cutting corners and working overtime. Pisano, 2001, Organizational differences in rates of learning. Stojkovic, 2001, An optimization model for the simultaneous operational ? ight and pilot scheduling problem.Lovejoy, 2002, Hospital operating room capacity expansion. Zenios, 2002, Optimal control of a paired-kidney exchange program. Zohar, 2002, Adaptive behavior of impatient customers in tele-queues. Boyd, 2003, Revenue management and e-commerce. Chao, 2003, Resource allocation in multisite service systems with intersite customer ? ows. Deshpande, 2003, A threshold inventory rationing policy for service-differentiated demand classes. Iyer, 2003, A postponement model for demand management. Alagoz, 2004, The optimal timing of living-donor liver transplantation. Avramidis, 2004, Modeling daily arrivals to a telephone call center. Berger, 2004, Long-distance access network design.Felici, 2004, A polyhedral approach for the staff rostering problem. Green, 2004, Improving emergency responsiveness with management science. Ho, 2004, Setting customer expectation in service delivery. Kim, 2004, Managing capacity through reward programs. Lira, 2004, Metaheuristics with local search techniques for retail shelf-space optimization. Sohoni, 2004, Long-range reserve crew manpower planning. Vickery, 2004, The performance implications of media richness in a business-to-business service environment. Whitt, 2004, Ef? ciency-driven heavy-traf? c approximations for many-server queues with abandonments. Aviv, 2005, A partially observed Markov decision pro cess for dynamic pricing.Banker, 2005, Productivity change, technical progress, and relative ef? ciency change in the public accounting industry. 786 †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Smith, Karwan, and Markland: Growth of Research in Service Operations Management Production and Operations Management 16(6), pp. 780 –790,  © 2007 Production and Operations Management Society †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Bapna, 2005, Pricing and allocation for quality-differentiated online services. Campbell, 2005, Hub arc location problems. Cook, 2005, Optimal allocation of proposals to reviewers to facilitate effective ranking. Craft, 2005, Analyzing bioterror response logistics. e Jong, 2005, Antecedents and conseq uences of group potency. Gaur, 2005, An econometric analysis of inventory turnover performance in retail services. Kwasnica, 2005, A new and improved design for multiobject iterative auctions. Naveh, 2005, Treatment errors in healthcare. Netessine, 2005, Revenue management games. Reagans, 2005, Individual experience and experience working together. Terwiesch, 2005, Online haggling at a name-your-ownprice retailer. Wee, 2005, Optimal policies for transshipping inventory in a retail network. Whitt, 2005, Engineering solution of a basic call-center model. Zhao, 2005, Inventory sharing and rationing in decentralized dealer networks.Anderson, 2006, Measuring and mitigating the costs of stockouts. Ata, 2006, Dynamic control of an M/M/1 service system with adjustable arrival and service rates. Bernstein, 2006, Coordinating supply chains with simple pricing schemes. Bolton, 2006, The effect of service experiences over time on a supplier’s retention of business customers. Czerwinski, 2006, Airlines as baseball players. Faraj, 2006, Coordination in fast-response organizations. Gaur, 2006, Assortment planning and inventory decisions under a locational choice model. Huckman, 2006, The ? rm speci? city of individual performance. Lapre, 2006, Organizational learning curves for customer dissatisfaction.Netessine, 2006, Supply chain choice on the internet. Sosic, 2006, Transshipment of inventories among retailers. Su, 2006, Recipient choice can address the ef? ciency-equity trade-off in kidney transplantation. Taylor, 2006, An empirical examination of the decision to invest in ful? llment capabilities. †¢ †¢ †¢ †¢ †¢ Swami, 2001, Play it again, Sam? Optimal replacement policies for a motion picture exhibitor. Garnett, 2002, Designing a call center with impatient customers. Huchzermeier, 2002, The supply chain impact of smart customers in a promotional environment. Johnson, 2002, Performance analysis of split-case sorting systems. Gans, 2003, Te lephone call centers.Barnhart, 2004, Airline schedule planning. Gallego, 2004, Revenue management of ? exible products. Gunes, 2004, Value creation in service delivery. Lariviere, 2004, Strategically seeking service. Su, 2004, Patient choice in kidney allocation. Cachon, 2005, Retail assortment planning in the presence of consumer search. Chen, 2005, Quantifying the value of lead time information in a single-location inventory system. Gaur, 2005, Hedging inventory risk through market investments. Harrison, 2005, A method for staf? ng large call centers based on stochastic ? uid models. Wallace, 2005, A staf? ng algorithm for call centers with skill-based routing.Caggiano, 2006, Integrated real-time capacity and inventory allocation for repairable service parts in a two-echelon supply system. Cooper, 2006, Stochastic comparisons in airline revenue management systems. Elhedhli, 2006, Service system design with immobile servers, stochastic demand, and congestion. Ferguson, 2006, Supply chain coordination for false failure returns. Schwarz, 2006, On the interactions between routing and inventory-management polices in a one-warehouse n-retailer distribution system. Whitt, 2006, The impact of increased employee retention on performance in a customer contact center. Operations Research †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Manufacturing & Service Operations Management †¢ †¢ †¢ †¢ †¢ †¢ †¢ Pinker, 2000, The ef? ciency– quality trade-off of crosstrained workers.So, 2000, Price and time competition for service delivery. Soteriou, 2000, A robust optimization approach for improving service quality. Cachon, 2001, Managing a retailer’s shelf space, inventory, and transportation. Fisher, 2001, Optimizing inventory replenishment of retail fashion products. Heim, 2001, Operational drivers of customer loyalty in electronic retailing. Menor, 2001, Agility in retail banking. †¢ †¢ Barthol di, 1990, Scheduling interviews for a job fair. Berg, 1990, Customer delay in M/G/(in? nity) repair systems with spares. Brown, 1990, Annual scheduling of Atlantic ? eet naval combatants. Daduna, 1990, Exchangeable items in repair systems.Ferland, 1990, Decision support system for the school districting problem. Ford, 1990, Estimating the impact of ef? ciency standards on the uncertainty of the northwest electric system. Gopalan, 1990, Modeling equity of risk in transportation of hazardous materials. Hamblin, 1990, Optimizing simulation for policy analysis in a residential energy end-of-use model. Sherali, 1990, A two-phase decomposition approach for electric utility capacity expansion planning including nondispatchable technologies. Yamani, 1990, Single aircraft mid-air refueling using spherical distances. Altinkemer, 1991, Parallel savings based heuristics for the delivery problem.Smith, Karwan, and Markland: Growth of Research in Service Operations Management Production and Opera tions Management 16(6), pp. 780 –790,  © 2007 Production and Operations Management Society †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ 787 †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Hof, 1991, A multilevel analysis of production capabilities of the national forest system. Kent, 1991, Natural resource land management planning using large-scale linear programs. Kraay, 1991, Optimal pacing of trains in freight railroads. Kwun, 1991, Joint optimal planning of industrial congeneration and conventional electricity systems. Agnihothri, 1992, Performance evaluation of service territories.Avery, 1992, Optimization of purchase, storage, and transmission contracts for natural gas utilities. Hartley, 1992, Military operations research. Jack, 1992, Design and implementation of an interactive optimization system f or telephone network planning. Klimberg, 1992, Improving the effectiveness of FDA drug inspection. Ng, 1992, A multicriteria optimization approach to aircraft loading. Oren, 1992, Design and management of curtailable electricity service to reduce annual peaks. Stroup, 1992, A fuel management model for the airline industry. Weatherford, 1992, A taxonomy and research overview of perishable-asset revenue management. Wollmer, 1992, An airline seat anagement model for a single leg routine when lower fare classes book ? rst. Ball, 1993, A reliability model applied to emergency service vehicle location. Berge, 1993, Demand driven dispatch. Bradley, 1993, Measuring performance in a multiproduct ? rm. Brumelle, 1993, Airline seat allocation with multiple nested fare classes. Caulkins, 1993, Local drug markets’ response to focused police enforcement. Caulkins, 1993, The on-time machines. Fleurent, 1993, Allocating games for the NHL using integer programming. Franz, 1993, Scheduling med ical residents to rotations. Martin, 1993, Design and implementation of an expert system for controlling health care costs.Rautman, 1993, Scheduling the disposal of nuclear waster material in a geologic repository using the transportation model. Soumis, 1993, A stochastic, multiclass airline network equilibrium model. Terrab, 1993, Strategic ? ow management for air traf? c control. Blanco, 1994, A sea story. Reisman, 1994, Operations research in libraries. Ringel, 1994, A stochastic analysis of state transitions in an air-space management system. Russell, 1994, Devising a cost effective schedule for a baseball league. Vranas, 1994, The multi-airport ground-holding problem in air traf? c control. Weintraub, 1994, A heuristic system to solve mixed integer forest planning models.Barnhart, 1995, Deadhead selection for the long-haul crew pairing problem. †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Bitran, 1995, An application of yield management to the hotel industry considering multiple day stays. Brusco, 1995, Improving personnel scheduling at airline stations. Kaplan, 1995, Probability models of needle exchange. Keeney, 1995, Evaluating improvements in electric utility reliability at British Columbia hydro. Peterson, 1995, Decomposition algorithms for analyzing transient phenomena in multiclass queuing networks in air transportation. Richetta, 1995, Optimal algorithms and a remarkably ef? cient heuristic for the ground-holding problem in air traf? c control.Robinson, 1995, Optimal and approximate control policies for airline booking with sequential nonmonotonic fare classes. Barnhart, 1996, Air network design for express shipment service. Bitran, 1996, Managing hotel reservations with uncertain arrivals. Eisenstein, 1996, Separating logistics ? ows in th e Chicago public school system. Maclellan, 1996, Basing airtankers for forest ? re control in Ontario. Rosenthal, 1996, Optimizing ? ight operations for an aircraft carrier in transit. Thompson, 1996, DEA/assurance region SBDC ef? ciency and unique projections. Ahmadi, 1997, Managing capacity and ? ow at theme parks. Bevers, 1997, Spatial optimization of prairie dog colonies for black-footed ferret recovery.Bukiet, 1997, A Markov chain approach to baseball. Day, 1997, Flight attendant rostering for short-haul airline operations. Eppen, 1997, Improved fashion buying with Bayesian updates. Griggs, 1997, An air mission planning algorithm using decision analysis and mixed integer programming. Vance, 1997, Airline crew scheduling. Andreatta, 1998, Multiairport ground holding problem. Bertsimas, 1998, The air traf? c ? ow management problem with enroute capacities. Bixby, 1998, Solving a truck dispatching scheduling problem using branch-and-cut. Caprara, 1998, Modeling and solving the cre w rostering problem. Chatwin, 1998, Multiperiod airline overbooking with a single fare class.Gopalan, 1998, The aircraft maintenance routing problem. Lederer, 1998, Airline network design. Mason, 1998, Integrated simulation, heuristic and optimisation approaches to staff scheduling. Nemhauser, 1998, Scheduling a major college basketball conference. Savelsbergh, 1998, Drive: Dynamic routing of independent vehicles. Gamachea, 1999, A column generation approach for largescale aircrew rostering problems. Hobbs, 1999, Stochastic programming-based bounding of 788 Smith, Karwan, and Markland: Growth of Research in Service Operations Management Production and Operations Management 16(6), pp. 780 –790,  © 2007 Production and Operations Management Society †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ expected production costs for multiarea electric power systems. Keeney, 1999, Identifying and structuring values to guide integrated resource planning at BC Gas. Mingozzi, 1999, A set partitioning approach to the crew scheduling problem. Murty, 1999, The U. S. Army National Guard’s mobile training simulators location and routing problem. Barnett, 2000, Free-? ight and en route air safety. Barnhart, 2000, Railroad blocking. Bashyam, 2000, Service design and price competition in business information services. Feng, 2000, Optimal policies of yield management with multiple predetermined prices.Haight, 2000, An integer optimization approach to a probabilistic reserve site selection problem. Hoffman, 2000, A comparison of formulations for the single-airport ground-holding problem with banking constraints. Smith, 2000, Management of multi-item retail inventory systems with demand substitu tion. Van Slyke, 2000, Finite horizon stochastic knapsacks with applications to yield management. Zenios, 2000, Dynamic allocation of kidneys to candidates on the transplant waiting list. Barnett, 2001, Safe at home? Cai, 2001, Solving large nonconvex water resources management models using generalized benders decomposition. Cordeau, 2001, Simultaneous assignment of locomotives and cars to passenger trains.Feng, 2001, A dynamic airline seat inventory control model and its optimal policy. Henz, 2001, Scheduling a major college basketball conference—Revisited. Baker, 2002, Optimizing military aircraft. Camm, 2002, Nature reserve site selection to maximize expected species covered. Caprara, 2002, Modeling and solving the train timetabling problem. Cooper, 2002, Asymptotic behavior of an allocation policy for revenue management. Cooper, 2002, An illustrative application of IDEA (imprecise data envelopment analysis) to a Korean telecommunication company. Gans, 2002, Managing learn ing and turnover in employee staf? ng. Netessine, 2002, Flexible service capacity. Powell, 2002, Implementing real-time optimization models.Bertsimas, 2003, Restaurant revenue management. Brumelle, 2003, Dynamic airline revenue management with multiple semi-Markov demand. Cohn, 2003, Improving crew scheduling by incorporating key maintenance routing decisions. Deshpande, 2003, An empirical study of service differentiation from weapon system service parts. Erhun, 2003, Enterprise-wide optimization of total landed cost at a grocery retailer. Rajaram, 2003, Flow management to optimize retail pro? ts at theme parks. †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Armony, 2004, Contact centers with a call-back option and real-time delay information. Armony, 2004, On customer contact centers with a callback option.Bollapragada, 2004, Scheduling commercials on broadcast t elevision. Bollapragada, 2004, Scheduling commercial videotapes in broadcast television. Borst, 2004, Dimensioning large call centers. Cappanera, 2004, A multicommodity ? ow approach to the crew rostering problem. Gaur, 2004, A periodic inventory routing problem at a supermarket chain. Hamacher, 2004, Design of zone tariff systems in public transportation. Karaesmen, 2004, Overbooking with substitutable inventory classes. Qi, 2004, Class scheduling for pilot training. Zhu, 2004, Imprecise DEA via standard linear DEA models with a revisit to Korean mobile telecommunication company. Armstrong, 2005, A stochastic salvo model for naval surface combat.Ata, 2005, Dynamic power control in a wireless static channel subject to a quality-of-service constraint. Bertsimas, 2005, Simulation based booking limits for airline revenue management. Brown, 2005, A two-sided optimization for theater ballistic missile defense. Chardaire, 2005, Solving a time-space network formulation for the convoy movem ent problem. Dasci, 2005, A continuous model for multistore competitive location. De Vericourt, 2005, Managing response time in a callrouting problem with service failure. Holder, 2005, Navy personnel planning and the optimal partition. Jahn, 2005, System-optimal routing of traf? c ? ows with user constraints in networks with congestion. Maglaras, 2005, Pricing and design of differentiated services.Savin, 2005, Capacity management in rental businesses with two customer bases. Shu, 2005, Stochastic transportation-inventory network design problem. Su, 2005, Patient choice in kidney allocation. Wu, 2005, Optimization of in? uenza vaccine selection. Yang, 2005, A multiperiod dynamic model of taxi services with endogenous service intensity. Zhang, 2005, Revenue management for parallel ? ights with customer-choice behavior. Agur, 2006, Optimizing chemotherapy scheduling using local search heuristics. Bassamboo, 2006, Design and control of a large call center. Cook, 2006, Incorporating mul tiprocess performance standards into the DEA framework. Cordeau, 2006, A branch-and-cut algorithm for the diala-ride problem.Dawande, 2006, Effective heuristics for multiproduct partial shipment models. Smith, Karwan, and Markland: Growth of Research in Service Operations Management Production and Operations Management 16(6), pp. 780 –790,  © 2007 Production and Operations Management Society †¢ 789 †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Deshpande, 2006, Ef? cient supply chain management at the U. S. Coast Guard using part-age dependent supply replenishment policies. Fry, 2006, Fire? ghter staf? ng including temporary absences and wastage. Ghiani, 2006, The black and white traveling salesman problem. Green, 2006, Managing patient service in a diagnostic medical facility. Mannino, 2006, The network packing problem in terrestrial broadcasting.Marcus, 2006, Online low price guarantees. Marklund, 2006, Controlling inventories in dive rgent supply chains with advance-order information. Netessine, 2006, Revenue management through dynamic cross selling in e-commerce retailing. Perakis, 2006, An analytical model for traf? c delays and the dynamic user equilibrium problem. Romeijn, 2006, A new linear programming approach to radiation therapy treatment planning problems. Washburn, 2006, Piled-slab searches. †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Production and Operations Management †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Easton, 1992, Analysis of alternative scheduling policies for hospital nurses.Ernst, 1992, Coordination alternatives in a manufacturing/dealer inventory system under stochastic demand. Schneeweiss, 1992, Planning and scheduling the repair shops of the Deutsche Lufthansa AG. Rajago palan, 1993, Allocating and scheduling mobile diagnostic imaging equipment among hospitals. Malhotra, 1994, Scheduling ? exibility in the service sector. Sainfort, 1994, A pavement management decision support system. Cox, 1995, A new learning approach to process improvement in a telecommunications company. Roth, 1995, Hospital resource planning. Schneider, 1995, Power approximations for a two-echelon inventory system using service levels. Chase, 1996, The mall is my factory.Crandall, 1996, Demand management. Joglekar, 1996, A pro? t maximization model for a retailer’s stocking decisions on products subject to sudden obsolescence. Cachon, 1996, Campbell soup’s continuous replenishment program. Clark, 1997, Reengineering channel reordering processes to improve total supply-chain performance. Harvey, 1998, Building the service operations course around a ? eld project. Kolesar, 1998, Insights on service system design from a normal approximation to Erlang’s delay for mula. Lee, 1998, Effects of integrating order/backorder quantity and pricing decisions. Boronico, 1999, Reliability-constrained pricing, capacity, and quality.Cheng, 1999, Optimality of state dependent (s,S) policies in inventory models with Markov demand and lost sales. Cook, 1999, Service typologies. Dasu, 1999, A dynamic process model of dissatisfaction for unfavorable non-routine service encounters. †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Dube, 1999, Adapting the QFD approach to extended service transactions. Hays, 1999, The market share impact of service failures. Kapalka, 1999, Retail inventory control with lost sales, service constraints, and factional lead times. Metters, 1999, Measurement of multiple sites in service ? rms with data envelopment analysis. Nie, 1999, How professors of operations management view service operations.Soteriou, 1999, Resource allocation to impro ve service quality perceptions in multistage service systems. Stewart, 1999, The impact of human error on delivering service quality. Anderson, 2000, A simulation game for teaching servicesoriented supply chain management. Petersen, 2000, An evaluation of order picking policies for mail order companies. Chaouch, 2001, Stock levels and delivery rates in vendormanaged inventory programs. Devaraj, 2001, Product and service quality. Hays, 2001, A longitudinal study of the effect of a service guarantee on service quality. Van Woensel, 2001, Managing the environmental externalities of traf? c logistics. Agrawal, 2002, Multi-vendor sourcing in a retail supply chain.Boyer, 2002, Drivers of Internet purchasing success. Heim, 2002, Service process con? gurations in electronic retailing. Tagaras, 2002, Effectiveness of stock transshipment under various demand distributions and nonnegligible transshipment times. Akkermans, 2003, Ampli? cation in service supply chains. Alfaro, 2003, The value of sku rationalization in practice. Athanassopoulos, 2003, Modeling customer satisfaction in telecommunications. Baker, 2003, The bene? ts of optimizing prices to manage demand in hotel revenue management systems. Cayirli, 2003, Outpatient scheduling in health care. Giloni, 2003, Service system design for the property and casualty insurance industry.Goodale, 2003, A market utility-based model for capacity scheduling in mass services. Green, 2003, An improved heuristic for staf? ng telephone call centers with limited operating hours. Kassinis, 2003, Greening the service pro? t chain. Keizers, 2003, Diagnosing order planning performance at a Navy maintenance and repair organization using logistic regression. Meyer-Goldstein, 2003, Employee development. Mondschein, 2003, Appointment policies in service operations. Roth, 2003, Insights into service operations management. Stewart, 2003, Piecing together service quality. Boyaci, 2004, Supply chain coordination in a market with customer serv ice competition.Craighead, 2004, The effects of severity of failure and customer loyalty on service recovery strategies. Field, 2004, Managing quality in the e-service system. Gavish, 2004, Dynamic policies for optimal LEO satellite launches. 790 †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Smith, Karwan, and Markland: Growth of Research in Service Operations Management Production and Operations Management 16(6), pp. 780 –790,  © 2007 Production and Operations Management Society †¢ †¢ †¢ †¢ †¢ †¢ †¢ †¢ Hur, 2004, Real-time work schedule adjustment decisions. Jack, 2004, Volume ? exible strategies in health services. Lapre, 2004, Performance improvement paths in the U. S. airline industry. Napoleon, 2004, The creation of output and quality in services.Sampson, 2004, Practical implications of preference-based conference scheduling. Tsay, 2004, Channel con? ict and coordination in the ecommerce age. Tsikriktsis, 2004, Adoption of e-processes by service ? rms. Chakravarthy, 2005, Optimal workforce mix in service systems with two types of customers. Gaur, 2005, In-store experiments to determine the impact of price on sales. Miller, 2005, A learning real options framework with application to process design and capacity planning. Anderson, 2006, Stochastic optimal control for staf? ng and backlog policies in a two-stage customized service supply chain. Berling, 2006, Heuristic coordination of decentralized inventory systems using induced backorder costs.Boyer, 2006, Analysis of effects of operational execution on repeat purchasing heterogeneous customer segments. Chambers, 2006, Modeling and managing the percentage of satis? ed customers in hidden and revealed waiting line systems. Ferguson, 2006, Information sharing to improve retail product freshness of perishables. Hays, 2006, An extended longitudinal study of the effects of a service guarantee. Rajamani, 2006, A framework to analyze cash supply chains. Sampson, 2006, Foundations and implications of a proposed uni? ed services theory. Whitt, 2006, Staf? ng a call center with uncertain arrival rate and absenteeism. References Gupta, S. , R. Verma, L. Victorino. 2006.Empirical research published in Production and Operations Management (1992–2005): Trends and Future Research Directions. Production and Operations Management 15(3) 432– 448. Karmarkar, U. 2004. Will you survive the services revolution? Harvard Business Review 82(6) 100 –107. Pannirselvam, G. P. , L. A. Ferguson, R. C. Ash, S. P. Siferd. 1999. Operations management research: An update for the 1990s. Journal of Operations Management 18(1) 95–112. Roth, A. V. , L. J. Menor. 2003. Insight into service operations management: A research agenda. Production and Operations Management 12(2) 145–164. Spohrer, J. , P. Maglio, J. Bailey, D. Gruhl. 2007. Steps toward a science of service systems. Computer 40(1) 71â€⠀œ77.

Visual Argument

Visual Argument As it has been revealed, images are more powerful in persuasion and information provision than mere words. This is due to their ability to reach a wider audience base, including those who are unable to read or write. Importantly, images are efficient in producing clear mental images about the information being conveyed.Advertising We will write a custom essay sample on Visual Argument specifically for you for only $16.05 $11/page Learn More On this basis, many advertisers have been finding it more effective and efficient to use visual objects and pictures in their advertisements, which are reinforced by some explanatory words. Since images are great influencers on thinking patterns, their massive use in various advertisements impact more to the target groups than just mere words. It has been revealed that, images portray hidden values of culture and therefore more appealing on human beliefs and values. Considering the advertisement shown below, eye appeal ha s been greatly realized. The use of color mix in this advertisement seems appealing. Having green color mixed with and blue in the container in which the drink is stored reflects massive power of the drink to meet the consumer’s needs. This is because; green and blue are considered as natural colors, implying that nothing exceeds nature. As a result, this ad meets the requirements of the consumers in its color mix to assuring success to the drink takers in their racing tournaments. In fact, the use of colors in this advertisement has largely realized the ultimate goal of enticing the target group of the product In the advertisement shown above, the advertisement seems highly appealing by presenting how the castrode drink gives individuals supernatural power to win in a very competitive racing tournament. More precisely, the advertiser presents the drink as enhancing individuals to reach high levels than expected.Advertising Looking for essay on art and design? Let's see if we can help you! Get your first paper with 15% OFF Learn More For instance, the advertisement presents a motor-bike sporting activity, where the advertiser presents the contestant who drinks castrode drink as reaching the sky, and finally emerges as the winner. This is a very powerful eye appealing advertisement, capable of creating enthusiasm among the consumers to take the drink. The use of visuals to reflect naturality in an advertisement impacts more than just mere words to the target groups. The use of shock appeal in this advertisement has largely made the message being conveyed sink deeper in the target group’s heart. Having a figurative contestant in a racing tournament who seems to be reaching the sky, reflects the powerful nature of the drink to make individuals reach far much higher than they expected. If fact, the use of sky at the back ground of this visual advertisement shows how natural the drink is to enhance self actualization. Quite si gnificantly, the images presented in this advertisement reflect a real life racing tournament where individuals who take the castrode drink always emerges as winners. The use of visuals to reflect real life situation in an advertisement as one of the most powerful strategies to facilitate consumer’s confidence in the product. Conclusion As it has been revealed, high degree of accuracy in advertising is achieved through the use of pictures, other than using only mere words. With effective use of color mix, and presenting the pictures used to represent real life situation, the target group is greatly enticed to purchase the commodity. It has been revealed that, information presented by use of pictures impacts a lot on the mind, as precise and accurate information is relayed by use of images, rather than mere words.

How to Get Your CDL in Utah and Minnesota

How to Get Your CDL in Utah and Minnesota This is a guide to help you to get a CDL in Utah and Minnesota. If you want to learn about applying for a CDL in other states, check out this guide on applying for a CDL in all states of the country. UtahTo obtain a CDL in   Utah, you must:receive training with the vehicle you wish to driveobtain a medical certificateapply for your license in person at a field office of the Driver License Division of the Utah Department of Public Safety (DPS)After you have completed any preparation and training you feel you need to do before you take your tests,  you will have to take all appropriate  knowledge tests (which are written) and skills tests (which are on-the-road tests).Knowledge TestsThe knowledge tests you take will depend on the type of license and endorsements you are seek.  All applicants must take the General Knowledge test.Bus driver applicants take the Passenger Transport test.If your vehicle has air brakes, you must  take the Air Brakes test.If you drive a combination vehicle, you must take the Combination Vehicles test.If you want to haul hazardous material or waste in amounts which require placarding, you must take the Hazardous Materials testIf you want to haul liquids in bulk, you must take the Tanker testIf you want to pull double or triple trailers, you must  take the Doubles/Triples testLearner’s PermitsOnce you get a medical certificate and pass the knowledge tests, you may receive a learner’s permit. Anyone in possession of a learner’s permit can legally practice for the driving skills test in a commercial vehicle, as long as a commercial operator with the appropriate license and endorsements rides with you.Skills TestsAfter you’ve passed the knowledge tests and have practiced on the road with your learner’s permit, you can take the skills tests. During the skills tests, you drive in the type of vehicle you seek a  license for.  You will be tested in pre-trip inspection, basic vehicle control, and on-road driving.When applying for a new CDL, bring the following documents:Your current Utah driver licenseYour Social Security cardYour valid DOT medical card or â€Å"Long Form†If you took the skills test from a third-party tester, bring your Certificate of Driver CompetencyYour application form (you can fill this out at the driver license field office)Required application/testing feesMinnesotaYou must   have a CDL to operate any of the following commercial motor vehicles:A set of  vehicles in which the gross combination weight is 26,000+ pounds and the towed unit has a gross vehicle weight of 10,000+A single vehicle with a GVW of  26,000+ poundsA vehicle designed to transport 15+ people, including the driverAny size vehicle that requires hazardous materials placards (the age requirement is usually  21 to transport hazardous materials)Any size vehicle outwardly equipped and identified as a school busAfter you have completed any preparation and training you feel you need to do before you take your tests,  you will have to take all appropriate  knowledge tests (which are written) and skills tests (which are on-the-road tests).Knowledge TestsThe knowledge tests you take will depend on the type of license and endorsements you are seek.  All applicants must take the General Knowledge test.Bus driver applicants take the Passenger Transport test.If your vehicle has air brakes, you must  take the Air Brakes test.If you drive a combination vehicle, you must take the Combination Vehicles test.If you want to haul hazardous material or waste in amounts which require placarding, you must take the Hazardous Materials testIf you want to haul liquids in bulk, you must take the Tanker testIf you want to pull double or triple trailers, you must  take the Doubles/Triples testYou must be at least 18 years old, pass your knowledge tests, and have a valid Minnesota driver’s license in order to obtain a commercial learner permit (CLP). You must obt ain a a CLP and hold it for 14 days before you can  take your  CDL road tests.Skills TestsThe CDL skills test is broken into three phases: (1) the pre-trip inspection; (2) the basic control skills and (3) the road test. You must take these tests in the type of vehicle for which you wish to be licensed.

The Ugly Truth About Beauty by Dave Barry Essay Example | Topics and Well Written Essays - 250 words

The Ugly Truth About Beauty by Dave Barry - Essay Example such, the author demonstrates the intention of pun on claiming â€Å"Some men form the opinion that they are irresistible stud muffins and they do not change their opinion even when their faces sag and their noses bloat to the size of eggplants.† The injected humor, nevertheless, bears no significant effect on my interpretation of the piece. Barry’s position is sufficiently clear on what he argues as the â€Å"ugly truth† which women tend to mask with their notion and seemingly painstaking attitude toward beauty. Men, according to Barry, hugely differ from women in this aspect where the latter spend a ridiculous amount of time fixing themselves just to end up barely convinced with â€Å"not good enough† outcomes while the male species can find plenty of ways to feel good and confident without many external tasks. Apparently, Barry’s essay serves as a call for women to realize the essence of character for the approval of the opposite sex not always rests on physical

Business law Essay Example | Topics and Well Written Essays - 1000 words - 7

Business law - Essay Example Stanford Engineering, Inc. is engaging Cornell Code Corporation in an unhealthy and unfair competition through advertising. Stanford Engineering, Inc. makes a false claim against Cornell Code Corporation through an advertising campaign that seeks to market competitive software products. As a result, Cornell is losing its sales to Stanford based on the false claim against it. Stanford can be held liable in a number of ways for injuring Cornell’s reputation in business. To start with, Cornell clearly understands that Stanford’s claim is untrue, but this has actually affected its sales negatively. Cornell is justified to file a lawsuit against the advertiser, which in this case is Stanford Engineering, Inc. This lawsuit would be set to forbid and restrict Stanford from using Cornell in its advertising activities. Stanford is likely to be asked to refrain from involving Cornell Company in its advertising strategies. On the same note, Stanford would be required to desist from making any reference to Cornell in its line of business and operations. In other words, Cornell can seek to have Stanford prohibited to make any reference to it. This can actually take the notion that Stanford cannot refer to Cornell as its competitor in form of advertising until the underlying dispute is resolved. Another ground upon which Cornell can sue Stanford is demanding of reimbursement of sales lost due to false advertising. Cornell has lost significant sales due to Cornell’s false claims. Cornell can sue Stanford for damages. Stanford’s false advertising has led to loss of sales to Cornell. Fair competition is governed and controlled by provisions of law. Through these laws, Stanford could be made to reimburse Cornell’s losses in sales. Cornell is losing sales to Stanford due to the ruined reputation in the market. Stanford could be sued for defamation. Stanford is tarnishing Cornell’s reputation in a