Selection of simulation tools for improving supply chain performance

作者: Chris Owen , Douglas Love , Pavel Albores

DOI:

关键词: Management scienceIndustrial engineeringSystem dynamicsStrengths and weaknessesAdvice (complexity)Supply chainEffective methodDiscrete event simulationEngineeringDomain (software engineering)Empirical evidence

摘要: Simulation is an effective method for improving supply chain performance. However, there limited advice available to assist practitioners in selecting the most appropriate a given problem. Much of that does exist relies on custom and practice rather than rigorous conceptual or empirical analysis. An analysis different modelling techniques applied domain was conducted, three main approaches simulation used were identified; these are System Dynamics (SD), Discrete Event (DES) Agent Based Modelling (ABM). This research has examined two stages. Firstly, first principles carried out order challenge received wisdom about their strengths weaknesses series propositions developed from this initial The second stage use case study approach test provide further evidence support comparison. contributions both terms knowledge practice. In knowledge, holistic cross paradigm comparison domain. Case studies have involved building ‘back back’ models same problem using SD discrete (either DES ABM). led concerning limitations applying operational types. also been found risks when strategic policy problems. methods potential exploring It can model material information feedback successfully. Further insights gained into relationship between purpose approach. practice, findings summarised form framework linking purpose, characteristics

参考文章(193)
M Pidd, Tools for Thinking—Modelling in Management Science Journal of the Operational Research Society. ,vol. 48, pp. 1150- 1150 ,(1997) , 10.1057/PALGRAVE.JORS.2600969
James C. Cooper, Logistics Strategies for Global Businesses International Journal of Physical Distribution & Logistics Management. ,vol. 23, pp. 12- 23 ,(1993) , 10.1108/09600039310041473
Denis R. Towill, Time compression and supply chain management ‐ a guided tour Supply Chain Management. ,vol. 1, pp. 15- 27 ,(1996) , 10.1108/13598549610799040
D. Berry, M.M. Naim, Quantifying the relative improvements of redesign strategies in a P.C. supply chain International Journal of Production Economics. pp. 181- 196 ,(1996) , 10.1016/0925-5273(95)00181-6
Hongwei Ding, Lyès Benyoucef, Xiaolan Xie, A simulation optimization methodology for supplier selection problem International Journal of Computer Integrated Manufacturing. ,vol. 18, pp. 210- 224 ,(2005) , 10.1080/0951192052000288161
Dongping Huang, Hessam S. Sarjoughian, Wenlin Wang, Gary Godding, Daniel E. Rivera, Karl G. Kempf, Hans Mittelmann, Simulation of Semiconductor Manufacturing Supply-Chain Systems With DEVS, MPC, and KIB IEEE Transactions on Semiconductor Manufacturing. ,vol. 22, pp. 164- 174 ,(2009) , 10.1109/TSM.2008.2011680
Axel Röder, Bernd Tibken, A methodology for modeling inter-company supply chains and for evaluating a method of integrated product and process documentation European Journal of Operational Research. ,vol. 169, pp. 1010- 1029 ,(2006) , 10.1016/J.EJOR.2005.02.006
Hamdy A. Taha, Simulation with SIMNET II winter simulation conference. pp. 132- 135 ,(1991) , 10.5555/304238.304270
Oscar Rubiano Ovalle, Adolfo Crespo Marquez, Exploring the utilization of a CONWIP system for supply chain management. A comparison with fully integrated supply chains International Journal of Production Economics. ,vol. 83, pp. 195- 215 ,(2003) , 10.1016/S0925-5273(02)00328-6