Article

Module-based modeling of production-distribution systems considering shipment consolidation

Authors:

Soemon TakakuwaAuthors Info & Claims

WSC '06: Proceedings of the 38th conference on Winter simulation

Pages 1477 - 1484

Published: 03 December 2006 Publication History

Abstract

A module-based modeling method was developed to analyze the production-distribution systems by using a discrete event simulation with ARENA. Excel VBA was also adopted to automatically generate the simulation programs. Using the proposed method, one can quickly create a multistage, multi-item supply chain system such as serials, convergent, divergent or general networks, for analyzing the performance of a supply chain. Both inventory control and shipment consolidation policy were considered in this study. A number of outputs can be used as a performance measure in the decision making; for example, transportation costs, inventory level and costs, and the fill rate. An actual application model was generated using the proposed method. The result shows that the module-based method is a powerful tool for modeling the supply chain systems.

References

[1]

Beamon, B. M., and V. C. P. Chen. 2001. Performance analysis of conjoined supply chains. International journal of production research 39 (14): 3195--3218.

[2]

Forrester, J. W. 1961. Industrial dynamics. 1st ed. Cambridge, Massachusetts: The M. I. T Press.

[3]

Higginson, J. K. and J. H. Bookbinder. 1994. Policy recommendations for a shipment consolidation program. Journal of Business Logistics 15: 87--112.

[4]

Jain, S., R. W. Workman, L. M. Collins, E. C. Ervin and A. P. Lathrop. 2001. Development of a high level supply chain simulation model. In Proceedings of the 2001 Winter Simulation Conference, ed. B. A. Peters, J. S. Smith, D. J. Medeiros, and M. W. Rohrer, 1129--1137. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers. Available online via <http://www.informs-sim.org/wsc01papers/153.PDF> {accessed March 24, 2006}.

Digital Library

[5]

Kelton, W. D., R. P. Sadowski, and D. T. Sturrock. 2004. Simulation with ARENA. 3rd ed. New York: McGraw-Hill.

Digital Library

[6]

Kleijnen, J. P. C., and M. T. Smits. 2003. Performance metrics in supply chain management. Journal of the Operational Research Society 54: 507--514.

[7]

Law, A. W., and W. D. Kelton. 2000. Simulation modeling and analysis. 3rd ed. New York: McGraw-Hill.

Digital Library

[8]

Miwa, K., and S. Takakuwa 2005. Flexible module-based modeling and analysis for large-scale transportation-inventory systems. In Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, 1749--1758. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers. Available online via <http://www.informs-sim.org/wsc05papers/216.pdf> {accessed March 24, 2006}.

Digital Library

[9]

Musalem, E. P., R. Dekker. 2005. Controlling inventories in a supply chain: a case study, International Journal of Production Economics 93--94: 179--188

[10]

Nomura, J., and S. Takakuwa. 2004. Module-based modeling flow-type multistage manufacturing systems adopting dual-card KANBAN system. In Proceedings of the 2004 Winter Simulation Conference, ed. R. G. ingalls, M. D. Rossetti, J. S. Smith, and B. A. Peter, 1065--1072. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers. Available online via <http://www.informs-sim.org/wsc04papers/136.pdf> {accessed March 24, 2006}.

Digital Library

[11]

Schunk, D., B. Plott. 2000. Using simulation to analyze supply chains. In Proceedings of the 2000 Winter Simulation Conference, ed. J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick, 1095--1100. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers. Available online via <http://www.informs-sim.org/wsc00papers/145.PDF> {accessed March 24, 2006}.

Digital Library

[12]

Silver, E. A., D. F. Pyke, and R. Peterson. 1998. Inventory management and production planning and scheduling. 3rd ed. New York: John Wiley & Sons. Inc.

[13]

Smits, S. R., and A. G. Kok. 2002. Approximations for the waiting time in (s, nQ)-inventory models for different types of consolidation policies. In Quantitative Approaches to Distribution Logistics and Supply Chain Management, ed. A. Klose, M. G. Speanza, L. N. Van Wassenhove, 395--417. Berlin Heidelberg: Springer-Verlag.

[14]

Takakuwa, S. 1998. A practical module-based simulation model for transportation-inventory systems. In Proceedings of the 1998 Winter Simulation Conference, ed. D. J. Medeiros, E. F. Watson, J. S. Carson, M. S. Manivannan, 1239--1246. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers. Available online via <http://www.informs-sim.org/wsc98papers/169.PDF> {accessed March 24, 2006}.

Digital Library

[15]

Takakuwa, S., and T. Fujii. 1999. A practical module-based simulation model for transshipment-inventory systems. In Proceedings of the 1999 Winter Simulation Conference, ed. P. A. Farrington, H. B. Nembhard, D. T. Sturrock, and G. W. Evans, 1324--1332. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers. Available online via <http://www.informs-sim.org/wsc99papers/194.PDF> {accessed March 24, 2006}.

Digital Library

[16]

Van der Vorst, J. G. A. J., A. J. M. Beulens, and P. Van Beek. 2000. Modelling and simulating multi-echelon food systems. European Journal of Operational Research 122: 354--366.

Cited By

Rossetti MXiang YYücesan E(2010)Simulating backlog and load building processes in a two-echelon inventory systemProceedings of the Winter Simulation Conference10.5555/2433508.2433736(1833-1845)Online publication date: 5-Dec-2010
https://dl.acm.org/doi/10.5555/2433508.2433736
Jain SJefferson TFowler JIngalls R(2008)Tradeoffs in building a generic supply chain simulation capabilityProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517071(1873-1881)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1517071

Module-based modeling of production-distribution systems considering shipment consolidation
1. Applied computing
  1. Enterprise computing

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Information & Contributors

Information

Published In

cover image ACM Conferences

WSC '06: Proceedings of the 38th conference on Winter simulation

December 2006

2429 pages

ISBN:1424405017

Editors:
L. Felipe Perrone
Bucknell University
,
Barry G. Lawson
University of Richmond
,
Jason Liu
Colorado School of Mines
,
Frederick P. Wieland
Sensis Corporation
,
General Chair:
David Nicol
University of Illinois, Urbana-Champaign
,
Program Chair:
Richard Fujimoto
College of Computing, Georgia Tech

Sponsors

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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Winter Simulation Conference

Publication History

Published: 03 December 2006

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WSC06

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IIE
ASA
IEICE ESS
IEEE-CS\DATC
SIGSIM
NIST
(SCS)
INFORMS-CS

WSC06: Winter Simulation Conference 2006

December 3 - 6, 2006

California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Rossetti MXiang YYücesan E(2010)Simulating backlog and load building processes in a two-echelon inventory systemProceedings of the Winter Simulation Conference10.5555/2433508.2433736(1833-1845)Online publication date: 5-Dec-2010
https://dl.acm.org/doi/10.5555/2433508.2433736
Jain SJefferson TFowler JIngalls R(2008)Tradeoffs in building a generic supply chain simulation capabilityProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517071(1873-1881)Online publication date: 7-Dec-2008
https://dl.acm.org/doi/10.5555/1516744.1517071

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