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The Competitive Time Guarantee Decisions Via Continuous Approximation of Logistics Systems

연속적 근사법에 의한 물류시스템의 경쟁적 시간보장 의사결정 최적화에 관한 연구

  • Kim, Hyoungtae (Department of Global Service Management, Woosong University)
  • 김형태 (우송대학교 글로벌서비스경영학부)
  • Received : 2014.09.01
  • Accepted : 2014.09.04
  • Published : 2014.09.30

Abstract

We show how a supplier can peg cost measures to the reliability of his time guarantees via the penalty costs considered in the framework. The framework also enables us to study the connections between the logistics network and the market. In this context, we show that even when the market base increases significantly, the supplier can still use the logistics network designed to satisfy lower demand density, with only a marginal reduction in profit. Finally we show how the framework is useful to evaluate and compare various logistics system improvement strategies. The supplier can then easily choose the improvement strategy that increases his profit with the minimal increase in his logistics costs.

Keywords

References

  1. Benson, T.E., Socket Express Connects with Guarantee. Industry Week, 1990, Vol. 21, p 39-42.
  2. Blackburn, J.D., Elrod, T., Lindsley, W.B., and Zahorik, A.J., The strategic value of response time and product variety. in Voss, C.A. (Eds), Manufacturing Strategy -Process and Content, Chapman and Hall, London, 1991.
  3. Daniels, N.C. and Essaides, G., Time-based Competition, Economic Intelligence Unit, London, 1993.
  4. Dewan, S. and Mendelson, H., User Delay Costs and Internal Pricing for a Service Facility. Management Science, 1990, Vol. 36, No. 12, p 1502-1517. https://doi.org/10.1287/mnsc.36.12.1502
  5. Daganzo, C.F., "The nature of freeway gridlock and how to prevent it, in Transportation and Traffic Theory, Proc. 13th Int. Symp. Trans. Traffic Theory (J.B. Lesort, ed) 629-646, Pergamon Elsevier, Tarrytown, N.Y., 1996.
  6. Dasci, A. and Verter, V., A Continuous Model for Production- Distribution System Design Problem. European Journal of Operational Research, 2001, Vol. 129, No. 2, p 287-298. https://doi.org/10.1016/S0377-2217(00)00226-5
  7. Dekhne, A., Real-World Network Optimization : Focusing on Hard Questions, Not Just Collecting Data, Yields Better Network Optimization Results. USCO Logistics White Paper, 2003.
  8. Dignan, L., Lowe's Big Plan. Baseline Magazine, 2003, p 1-4.
  9. Erlenkotter, D., The general optimal market area model. Annals of Operations Research, 1989, Vol. 18, No. 1, p 43-70. https://doi.org/10.1007/BF02097795
  10. Geoffrion, A.M., The Purpose of Mathematical Programming is Insight, Not Numbers. Interfaces, 1976, Vol. 7, No. 1, p 81-92. https://doi.org/10.1287/inte.7.1.81
  11. Hill, A.V., Hays, J.M., and Naveh, E., A model for optimal delivery time guarantees. Journal of Service Research, 2000, Vol. 2, No. 3, p 254-264. https://doi.org/10.1177/109467050023003
  12. Hill, A.V. and Khosla, I.S., Models for optimal lead time reduction. Production and Operations Management, 1992, Vol. 1, No. 2, p 185-97.
  13. Kalai, E., Kamien, M.I. and Rubinovitch, M., Optimal service speeds in a competitive environment. Management Science, 1992, Vol. 38, No. 8, p 1154-63. https://doi.org/10.1287/mnsc.38.8.1154
  14. Langevin, A., Mbaraga, P., and Campbell, J.F., Continuous approximation models in freight distribution : An overview. Transportation Res, 1996, Vol. B30, No. 3, p 163-188.
  15. Lederer, P. and Li, L., Pricing, production, scheduling, and delivery-time competition. Operations Research, 1997, Vol. 45, No. 3, p 407-420. https://doi.org/10.1287/opre.45.3.407
  16. Li, L., The role of inventory in delivery-time competition. Management Science, 1992, Vol. 38, No. 2, p 182-97. https://doi.org/10.1287/mnsc.38.2.182
  17. Li, L. and Lee, Y.S., Pricing and Delivery-Time Performance in a Competitive Environment. Management Science, 1994, Vol. 40, p 633-646. https://doi.org/10.1287/mnsc.40.5.633
  18. Mendelson, H. and Shang, W., Optimal Incentive-Compatible Priority Pricing for the M/M/1 Queue. Operations Research, 1990, Vol. 38, No. 5, p 870-883. https://doi.org/10.1287/opre.38.5.870
  19. Newell, G.F., Scheduling, location, transportation, and continuum mechanics; some simple approximations to optimization problems. SIAM J. Appl. Math, 1973, Vol. 25, No. 3, p 346-360. https://doi.org/10.1137/0125037
  20. Palaka, K., Erlebacher, S., and Kropp, D., Lead-time setting, capacity utilization, and pricing decisions under lead-time dependent demand. IIE Transactions, 1998, Vol. 30, p 151-163.
  21. Rust, R.T. and Richard, M., Mathematical Models of Service. European Journal of Operational Research, 1996, Vol. 91, No. 3, p 427-39. https://doi.org/10.1016/0377-2217(95)00316-9
  22. So, K.C., Price and time competition for service delivery. Manufacturing and Service Operations Management, 2000, Vol. 2, No. 4, p 392-409. https://doi.org/10.1287/msom.2.4.392.12336
  23. So, K.C. and Song, J., Pricing, delivery time guarantees and capacity selection. Journal of Operational Research, 1998, Vol. 111, p 28-49. https://doi.org/10.1016/S0377-2217(97)00314-7
  24. Stalk, G. and Hout, T.M. Hout, Competing against Time : How Time-Based Competition Is Reshaping Global Markets. New York : Free Press, 1990.
  25. Stidham, S., Pricing and capacity decisions for a service facility. Management Science, 1992, Vol. 38, No. 8, p 1121-1139. https://doi.org/10.1287/mnsc.38.8.1121
  26. Tucker, R.B., Managing the Future, Ten Driving Forces of Change for the '90s, Putnam, New York, NY, 1991.