Abstract
Supply chain design and management has recently gained unprecedented recognition as a vital factor in the success of a business. Among the most fundamental characteristics that determine the performance of a supply chain are capacity, inventory, delivery leadtime, and customer service level. The first two quantities are under direct management control and are associated with the cost in a supply chain; the last two are the effects of managerial decisions and are associated with customer expectation or requirement. While the qualitative relationship among them is often obvious, understanding their quantitative relationship is much more difficult yet increasingly important in today’s business environment. This chapter intends to introduce a set of tools and results to help better understand the quantitative relationship among these fundamental measures and make supply chain decisions more effectively.
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References
Agrawal, N. and M.A. Cohen. (1999) Optimal Material Control in an Assembly System with Component Commonality. Working paper, Department of Operations and Information Management, The Wharton School, PA.
Asmussen, S. (1987) Applied Probability and Queues. Wiley, New York.
Aviv, Y. and A. Federgruen. (1997) Stochastic Inventory Models with Limited Production Capacities and Varying Parameters. Probability in the Engineering and Information Sciences, Vol. 11,107–135.
Bessler, S.A. and A.F. Veinott. (1965) Optimal Policy for a Dynamic Multiechelon Inventory Model, Naval Res. Logistics Quarterly, Vol. 13, 355–389.
Bookbinder, J.H. and J.-Y. Tan. (1988) Strategies for the Probabilistic Lot-Sizing Problem with Service-Level Constraints. Mgmt Sci., Vol. 34, 1096–1108.
BoyaciT. and G. Gallego. (1998) Serial Production/ Transportation System under Service Constraints. Working Paper, Department of Industrial Engineering and Operations Research, Columbia University.
Buzacott, J.A. and J.G. Shanthikumar. (1994) Safety Stock versus Safety Time in MRP Controlled Production Systems. Mgmt. Sci., Vol. 40, 1678–1689.
Cheng F., M. Ettl, G. Lin, and D.D. Yao. (2000) Inventory-Service Optimization in Configure-to-Order Systems: From Machine Type Models to Building Blocks. Technical Report, IBM T.J. Watson Research Center, Yorktown Hights, NY.
Chang, C.A. (1985) The Interchangeability of Safety Stocks and Safety Time. J. Oper. Mgmt., Vol. 6, 35–42.
Clark, A.J. AND H. Scarf. (1960) Optimal Policies for a Multi-Echelon Inventory. Mgmt. Sci., Vol. 6, 475–490.
Cohen, M.A., P. Kleindorfer, AND H. Lee. (1988) Service Constrained (s, S) Inventory Systems with Priority Demand Classes and Lost Sales. Mgmt. Sci., Vol. 34, 482–499.
Deuermeryer, B.L. AND L.B. Schwarz. (1981) A Model for the Analysis of System Service Level in Warehouse-Retailer Distribution Systems: The Identical Retailer Case, in Multi-Level Production/Inventory Control Systems: Theory and Practice, L. Swcharz, ed. North-Holland, Amsterdam, 163–193.
Eppen, G.D. AND L.E. Schrage. (1981) Centralized Ordering Policies in a Multiwarehouse System with Leadtimes and Random Demand, in Multi-Level Production/Inventory Control Systems: Theory and Practice, L. Swcharz, ed. North-Holland, Amsterdam, 51–69.
Ettl, M., G.E. Feigin, G.Y. Lin, AND D.D. Yao. (1995) A Supply-Chain Model with Base-Stock Control and Service Level Requirements. IBM Research Report, IBM T.J. Watson Research Center, Yorktown Heights, NY.
Federgruen, A. And P. Zipkin. (1984) Computational Issues in an Infinite-Horizon, Multiechelon Inventory Model. Oper. Res., Vol. 32, 818–836.
Federgruen, A. And P. Zipkin. (1986a) An Inventory Model with Limited Production Capacity and Uncertain Demands, I: The Average Cost Criterion. Math. Oper. Res., Vol. 11, 193–207.
Federgruen, A. And P. Zipkin. (1986b) An Inventory Model with Limited Production Capacity and Uncertain Demands, II: The Discounted Cost Criterion. Math. Oper. Res., Vol. 11, 208–215.
Feller, W. (1971) An Introduction to Probability Theory and its Applications, Vol. 2, 2nd Edition. Wiley, New York.
Gallien J. And L.M. Wein. (1998) A Simple and Effective Component Procurement Policy for Stochastic Assembly Systems. Working paper, MIT Operations Research Center.
Glasserman, P. (1997) Bounds and Asymptotics for Planning Critical Safety Stocks. Oper. Res., Vol. 45, 244–257.
Glasserman, P. And T.-W. Liu. (1996) Rare-Event Simulation for Multistage Production-Inventory Systems. Mgmt. Sci., Vol. 42, 1292–1307.
Glasserman, P. And S. Tayur. (1996) A Simple Approximation for a Multistage Capacitated Production-Inventory System. Naval Research Logistics, Vol. 43, 41–58.
Glasserman, P. And Y. Wang. (1998) Leadtime-Inventory Trade-Offs in Assemble-to-Order Systems. Oper. Res., Vol. 46, 858–871.
Glasserman, P. And Y. Wang. (1999) Fill-Rate Bottlenecks in Production-Inventory Networks. Manufacturing and Service Operations Management, Vol. 1, 62–76.
Graves, S. (1985) A Multi-Echelon Inventory Model for a Repairable Item with One-for-One Replenishment. Mgmt. Sci., Vol. 31, 1247–1256.
Gut, A. (1988) Stopped Random Walks. Springer, New York.
Kapucsinzki, R. And S. Tayur(1998) A Capacitated Production-Inventory Model with Periodic Demand. Oper. Res., Vol. 46, 899–911.
Kendall, M. (1987) Advanced Theory of Statistics, Vol. II, 5th Edition. Oxford Pub., New York.
Lee, Y. And P.H. Zipkin. (1992) Tandem Queues with Planned Inventories. Oper. Res. Vol. 40, 936–947.
Nahmias, S. (1997) Production and Operations Analysis,3rd Edition. Irwin.
Prabhu, N.U. (1980) Stochastic Storage Processes: Queues, Insurance Risk, and Dams. Springer, New York.
Rosling, K. (1989) Optimal Inventory Policies for Assembly Systems Under Random Demands. Oper. Res., Vol. 37, 565–579.
Schneider, H. and J.L. Ringuest. (1990) Power Approximation for Computing (s, S) Policies Using Service Level. Mgmt. Sci., Vol. 36, 822–834.
Schraner, E. (1996) Capacity/Inventory Trade-Offs in Assembleto-Order Systems. Working Paper, IBM T.J. Watson Research Center, Yorktown Heights, New York.
Siegmund, D. (1985) Sequential Analysis: Tests and Confidence Intervals. Springer, New York.
Song, J.S. (1998) On the Order Fill Rate in a Multi-Item Inventory System. Oper. Res., Vol. 46, 831–845.
Song, J.S., S.H. Xu, and B. Liu. (1999) Order-Fulfillment Performance Measures in an Assemble-to-Order System with Stochastic Leadtime. Oper. Res., Vol. 47, 131–149.
Song, J.S. and D.D. Yao. (2000) Performance Analysis and Optimization of Assemble-to-Order Systems with Random Leadtimes. Oper. Res. to appear.
Tayur, S. (1993) Computing the Optimal Policy for Capacitated Inventory Models. Stochastic Models, Vol. 9, 585–598.
Tigms, H.C. (1994) Stochastic Models: an Algorithmic Approach. Wiley, Chichester.
Tigms, H.C. and H. Groenevelt. (1984) Simple Approximations for the Reorder Point in Periodic and Continuous Review (s, S) Inventory Systems with Service Level Constraints, Euro. J. Oper. Res., Vol. 17, 175–190.
Wang, Y. (2000) Near-Optimal Base-Stock Policies in Assembleto-Order Systems under Service Level Requirements. Working Paper, MIT Sloan School of Management, MA.
Zhang, A.X. (1997) Demand Fulfillment Rates in an Assembleto-Order System with Multiple Products and Dependent Demands, Prod. and Oper. Mgmt., Vol. 6, 309–324.
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Wang, Y. (2002). Leadtime, Inventory, and Service Level in Assemble-to-Order Systems. In: Song, JS., Yao, D.D. (eds) Supply Chain Structures. International Series in Operations Research & Management Science, vol 42. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-6635-6_10
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DOI: https://doi.org/10.1007/978-1-4757-6635-6_10
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