Abstract
This chapter begins with a discussion about the use of analytical and simulation models. Next, general it describes simulation model characteristics as a preliminary step to define the objectives of a simulation model for a supply chain. For this purpose, it differentiates the various simulation models for supply chains: spreadsheet, systems dynamics, systems dynamics with discrete events and business games. Besides, it also describes local, parallel and distributed simulations for the supply chain.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
M.S. Amir, Industrial viewpoint. Can systems dynamics be effective in modelling dynamic business systems? Bus. Process. Manag. J. 11, 612–615 (2005)
B.J. Angerhofer, M.C. Angelis, System dynamics modelling in supply chain management: research view, ed. by Joines et al. In: Proceedings of the 2000 Winter Simulation Conference, Orlando, pp. 342–351 (2000)
J. Ashayeri, R. Keij, Global business process re-engineering: A system dynamics based approach. Int. J. Oper. Prod. Manage. 18, 817–831 (1998)
S. Bagchi, M. Buckley, M. Ettl, G. Lin, Experience using the IBM Supply Chain Simulator. Proceedings of the 1998 Winter Simulation Conference, Washington, pp. 1387–1394 (1998)
J. Banks, S. Buckley, S. Jain, P. Lendermann, Opportunities for simulation in supply chain management. ed. by Yücesan et al. In: Proceedings of the 2002 Winter Simulation Conference, San Diego, pp. 1652–1658 (2002)
B.M. Beamon, Supply chain design and analysis: Models and methods. Int. J. Prod. Econ. 55, 281–294 (1998)
F. Campuzano, A. Lisec, A. Guillamón, Assessing the impact of prices fluctuation on demand distortion within a multiechelon supply chain. Promet 23, 131–140 (2011)
F. Campuzano, J. Mula, D. Peidro, Fuzzy estimations and system dynamics for improving supply chains. Fuzzy. Set. Syst. 156, 1530–1542 (2010)
C.F. Daganzo, A theory of supply chains (Springer, Heidelberg, 2003)
J.W. Forrester, Industrial dynamics. A major breakthrough for decision makers. Harvard. Bus. Rev. 36, 37–66 (1958)
J.W. Forrester, Industrial Dynamics (MIT Press/Wiley, New York, 1961)
B.E. Hirsch, T. Kuhlmann, T.J. Schumacher, Logistics simulation of recycling networks. Comput. Ind. 24, 31–38 (1998)
M. Holweg, J. Bicheno, Supply chain simulation–A tool for education, enhancement and endeavor. Int. J. Prod. Econ. 78, 163–175 (2002)
W.D. Kelton, R.P. Sadowski, D.T. Sturrock, Simulation With Arena, 3rd edn. (McGraw-Hill, Boston, 2004)
J.P.C. Kleijnen, Supply chain simulation tools and techniques: A survey. Int. J. Simulat. Pro. Model 1, 82–89 (2005)
J.P.C. Kleijnen, M.T. Smits, Performance metrics in supply chain management. J. Oper. Res. Soc. 54, 507–514 (2003)
A.M. Law, W.D. Kelton, Simulation modelling and analysis, 3rd edn. (McGraw-Hill, New York, 2000)
H.L. Lee, P. Padmanabhan, S. Whang, The bullwhip effect in supply chains. Sloan Manage. Rev. 38, 93–102 (1997a)
H.L. Lee, P. Padmanabhan, S. Whang, Information distortion in a supply chain: The Bullwhip Effect. Manage. Sci. 43, 543–558 (1997b)
M.T. Melo, S. Nickei, F. Saldanha-da-Gama, Facility location and supply chain management-A review. Eur. J. Oper. Res. 196, 401–412 (2009)
A. Otto, H. Kotzab, Does supply chain management really pay? Six perspectives to measure the performance of managing a supply chain. Eur. J. Oper. Res. 144, 306–320 (2003)
J. Padmos, T. Hubbard, S. Duczmal, S. Saidi, How i2 Integrates Simulation in Supply Chain Optimization. Proceedings of the 1999 Winter Simulation Conference, Phoenix, pp. 1350-1355 (1999)
H. Pierreval, R. Bruniaux, C. Caux, A continuous simulation approach for supply chains in the automotive industry. Simulat. Model Pract. Theory 15, 185–198 (2007)
D.R. Plane, How to build spreadsheet models for production and operations management. OR/MS Today 24, 50–54 (1997)
S.G. Powell, Leading the spreadsheet revolution. OR/MS Today 24, 8–10 (1997)
D. Schunk, Using simulation to analyze supply chain. Proceedings of the 2000 Winter Simulation Conference, Orlando, pp. 1095–1100 (2000)
R.E. Shannon, Systems Simulation: The Art and Science (PrenticeHall, Englewood, 1975)
J.F. Shapiro, Modeling the Supply Chain (Duxbury Press, Pacific Grove, 2000)
A.J. Siprelle, D. Parsons, R.A. Phelps, SDI Industry Pro: Simulation for Enterprise Wide Problem Solving. Proceedings of the 1999 Winter Simulation Conference, Phoenix, pp. 241–248 (1999)
J.C. Spall, Introduction to Stochastic Search and Optimization: Estimation, Simulation and Control (Wiley, Hoboken, New Jersey, 2003)
J.D. Sterman, Business Dynamics: Systems Thinking and Modeling for a Complex World (McGraw-Hill Higher Education, New York, 2000)
J.D. Sterman, Modeling managerial behavior: misperceptions of feedback in a dynamic decision making experiment. Manage. Sci. 35, 321–339 (1989)
D. Stefanovic, N. Stefanovic, B. Radenkovic, Supply network modelling and simulation methodology. Simulat. Model Pract. Theory 17, 743–766 (2009)
S. Terzi, S. Cavalieri, Simulation in the supply chain context: A survey. Comput. Ind. 53, 3–16 (2004)
D. Tesfamariam, B. Lindberg, Aggregate analysis of manufacturing systems using system dynamics and ANP. Comput. Ind. Eng. 49, 98–117 (2005)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2011 Springer-Verlag London Limited
About this chapter
Cite this chapter
Campuzano, F., Mula, J. (2011). Introduction to Supply Chain Simulation. In: Supply Chain Simulation. Springer, London. https://doi.org/10.1007/978-0-85729-719-8_1
Download citation
DOI: https://doi.org/10.1007/978-0-85729-719-8_1
Published:
Publisher Name: Springer, London
Print ISBN: 978-0-85729-718-1
Online ISBN: 978-0-85729-719-8
eBook Packages: EngineeringEngineering (R0)