×

zbMATH — the first resource for mathematics

System dynamics modelling for supply-chain management: a case study on a supermarket chain in the UK. (English) Zbl 1131.90413
Summary: This paper presents a system dynamics (SD) approach for the analysis of the demand amplification problem, also known as the bullwhip effect, which has been studied fairly extensively in the literature. The construction of an SD model is reported using a part of a supermarket chain system in the UK as an example. Based on the model, the causes of the dynamic behaviour of the system and the sources of amplification from the downstream to the upstream of the chain are investigated. The impact of information delays, demand forecasting and information sharing on the performance of the multi-echelon supply chain is analysed. Some implementation issues are also addressed based on the simulation analysis.

MSC:
90B90 Case-oriented studies in operations research
90B50 Management decision making, including multiple objectives
Software:
DYNAMO; Simulink
PDF BibTeX XML Cite
Full Text: DOI
References:
[1] DOI: 10.1016/S0305-0483(01)00043-3 · doi:10.1016/S0305-0483(01)00043-3
[2] DOI: 10.1016/0377-2217(95)00136-0 · Zbl 0912.90105 · doi:10.1016/0377-2217(95)00136-0
[3] DOI: 10.1287/mnsc.46.3.436.12069 · Zbl 1231.90019 · doi:10.1287/mnsc.46.3.436.12069
[4] DOI: 10.1002/(SICI)1520-6750(200006)47:4<269::AID-NAV1>3.3.CO;2-H · doi:10.1002/(SICI)1520-6750(200006)47:4<269::AID-NAV1>3.3.CO;2-H
[5] Forrester J.W., Industrial Dynamics (1961)
[6] DOI: 10.1016/S0377-2217(99)00423-3 · Zbl 0983.90030 · doi:10.1016/S0377-2217(99)00423-3
[7] Y.L. Ge , 2002 . System dynamics for business modelling and policy making. PhD thesis, Manchester School of Management, UMIST, UK.
[8] Y.L. Ge, J.B. Yang, N. Proudlove, and M. Spring , 2002 . Controller design for the system dynamics model of a supermarket supply chain,Proceeding of the Sixth Multi-Conference on Systemics, Cybernetics and Informatics, Orlando, Florida, USA, 14-19 July 2002.
[9] Harland C., Production Planning & Control 6 (3) pp 209– (1995)
[10] High Performance Systems, Inc. , 1997 .iThink Analyst Technical Documentation, Hanover, NH.
[11] Lee H.L., Management Science 43 (4) pp 546– (1997)
[12] Lee H.L., Sloan Management Review pp 93– (1997)
[13] Lummus R.R., Industrial Management & Data Systems (1) pp 11– (1999)
[14] Mathworks Inc. , 1996 .SIMULINK User’s Guide, Natick, MA.
[15] McCullen P., Control pp 24– (2001)
[16] DOI: 10.1016/S0272-6963(96)00098-8 · doi:10.1016/S0272-6963(96)00098-8
[17] DOI: 10.1016/S0305-0483(98)00036-X · doi:10.1016/S0305-0483(98)00036-X
[18] DOI: 10.1002/sdr.206 · doi:10.1002/sdr.206
[19] P. Silen , 1998 . Industrial dynamics, supply chain simulation and management, MEng Dissertation, Department of Mechanical Engineering, UMIST.
[20] Silva C.W., Intelligent Control-fuzzy Logic Applications (1995) · Zbl 0856.93003
[21] Simchi-Levi D., Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies (2000)
[22] Sterman J.D., Management Science 35 (3) pp 321– (1989)
[23] Stevens J., International Journal of Physical Distribution and Materials Management 19 (8) pp 3– (1989) · doi:10.1108/EUM0000000000329
[24] DOI: 10.1108/09600039610113182 · doi:10.1108/09600039610113182
[25] DOI: 10.1108/09576059610148694 · doi:10.1108/09576059610148694
[26] DOI: 10.1016/S0377-2217(99)00238-6 · Zbl 1068.90530 · doi:10.1016/S0377-2217(99)00238-6
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.