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Title: Modelling a complex supply chain: Understanding the effect of simplified assumptions
Authors: Hwarng, H.B. 
Chong, C.S.P.
Xie, N.
Burgess, T.F.
Keywords: Inventory
Supply chain management
Issue Date: 2005
Citation: Hwarng, H.B., Chong, C.S.P., Xie, N., Burgess, T.F. (2005). Modelling a complex supply chain: Understanding the effect of simplified assumptions. International Journal of Production Research 43 (13) : 2829-2872. ScholarBank@NUS Repository.
Abstract: The benefits of coordinating activities and consolidating distribution points in supply chains are well highlighted and intuitively logical. However, the impact of these decisions on the overall performance of a complex supply chain may not be as obvious as usually perceived. This study models a relatively complex supply chain and evaluates the impact of simplifying demand and lead time assumptions under various supply chain configurations. Of particular interest is the investigation of the effect of risk pooling and the synchronization of production cycles in a multi-level multi-retailer supply chain under the influence of various parameters such as batch size, delivery frequency and ordering cycle. This study highlights the extent of complicated interaction effects among various factors exist in a complex supply chain and shows that that the intricacy of these effects can be better understood with a simulation model. © 2005 Taylor & Francis Group Ltd.
Source Title: International Journal of Production Research
ISSN: 00207543
DOI: 10.1080/00207540500066812
Appears in Collections:Staff Publications

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