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Article

Observations on material flow in supply chains

Published: 03 December 2006 Publication History

Abstract

This paper summarizes one group of recent simulation studies comparing replenishment strategies. Time-phased planning, implemented using DRP and MRP logic, continuous-review reorder point (ROP) and single-card Kan-ban (KBN) systems are considered. These differ in terms of decision-making information, logic and integration requirements. Experimental results have been statistically analyzed and explained using simple stochastic models. Steps have also been taken to evaluate which strategies are most suitable under various demand patterns, levels of uncertainty and capacity constraints. Results show that DRP/MRP is superior under time-varying demand, regardless of whether or not capacity constraints are present. With no capacity constraints and level demand, ROP is superior to KBN, in part because it considers backorder information. With capacity constraints behavior is complicated by queuing effects. Under level demand, KBN may slightly outperform ROP, given assumptions of equal lot sizes, order placement delays and transportation times.

References

[1]
Enns, S. T., and S. Choi, 2002. Use of GI/G/1 queuing approximations to set tactical parameters for the simulation of MRP systems, Proceedings of the 2002 Winter Simulation Conference, ed. Yücesan, E., Chen, C.-H., Snowdon, J. L. and Charnes, J. M, 1122--1129. Piscataway, New Jersey: IEEE.
[2]
Enns, S. T., and P. Suwanruji. 2003. A simulation test bed for production and supply chain modeling, Proceedings of the 2003 Winter Simulation Conference, ed. Chick, S., Sanchéz, P. J., Ferrin, S. and Morrice, D. J., 1174--1182. Piscataway, New Jersey: IEEE.
[3]
Enns, S. T., and L. Li. 2004. Optimal lot-sizing with capacity constraints and auto-correlated interarrival times. Proceedings of the 2004 Winter Simulation Conference, ed. Ingalls, R. G., Rossetti, M. D., Smith, J. S, and Peters, B. A., 1073--1078. Piscataway, New Jersey: IEEE.
[4]
Enns, S. T., and P. Suwanruji. 2005. Lot-sizing within capacity constrained manufacturing systems using time-phased planning. Proceedings of the 2005 Winter Simulation Conference, ed. Kuhl, M. E., Steiger, N. M., Armstrong, F. B, and Joines, J. A., 1433--1440. Piscataway, New Jersey: IEEE.
[5]
Enns, S. T., and P. Zhu. 2005. Optimal lot-sizing in a twostage system with auto-correlated interarrivals. Proceedings of the 2005 Winter Simulation Conference, Kuhl, M. E., Steiger, ed. N. M., Armstrong, F. B, and Joines, J. A., 1705--1711. Piscataway, New Jersey: IEEE.
[6]
Goldratt, E. M, and J. Cox. 1984. The Goal: A process of ongoing improvement. Croton-on-Hudson, NY: North River Press.
[7]
Little, J. D. C., 1961. A proof of the queuing formula: L=λ W. Operations Research, 9, 383--387.
[8]
Suwanruji, P., and S. T. Enns. 2002. Information and logic requirements for replenishment systems. International Journal of Operations and Quantitative Management, 8 (3&4), 149--164.
[9]
Suwanruji, P., and S. T. Enns. 2004. Evaluating the performance of supply chain simulations with trade-offs between multiple objectives. Proceedings of the 2004 Winter Simulation Conference, ed. Ingalls, R. G., Rossetti, M. D., Smith, J. S, and Peters, B. A., 1399--1403. Piscataway, New Jersey: IEEE.
[10]
Suwanruji, P., and S. T. Enns. 2006a. Comparison of supply chain replenishment strategies in a non-capacitated distribution system. International Journal of Risk Assessment and Management, Special Issue on Supply Chain Management, forthcoming.
[11]
Suwanruji, P. and S. T. Enns. 2006b, Evaluating the effects of capacity constraints and demand patterns on supply chain replenishment strategies. International Journal of Production Research, forthcoming.
[12]
Whitt, W. 1983. The Queueing Network Analyzer. The Bell Systems Technical Journal, 62 (9), 2779--2813.
  1. Observations on material flow in supply chains

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    cover image ACM Conferences
    WSC '06: Proceedings of the 38th conference on Winter simulation
    December 2006
    2429 pages
    ISBN:1424405017

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    • IIE: Institute of Industrial Engineers
    • ASA: American Statistical Association
    • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
    • IEEE-CS\DATC: The IEEE Computer Society
    • SIGSIM: ACM Special Interest Group on Simulation and Modeling
    • NIST: National Institute of Standards and Technology
    • (SCS): The Society for Modeling and Simulation International
    • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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    Published: 03 December 2006

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    WSC06: Winter Simulation Conference 2006
    December 3 - 6, 2006
    California, Monterey

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    WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
    Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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