Abstract
This paper considers a multi-echelon inventory/distribution system formed by N-warehouses and M-retailers that manages a set of diverse products in a dynamic environment. Transshipment at both regional warehouses and retailers levels is allowed. A mixed integer linear programming model is developed, where product demand at the retailers is assumed to be not known. The problem consists of determining the optimal reorder policy by defining a new concept of robust retailer order in a two level programming approach, which minimizes the overall system cost, including ordering, holding in stock and in transit, transportation, transshipping and lost sales costs. A case study based on a real retailer distribution chain is solved.
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Zimmermann, H.J.: An application-oriented view of modeling uncertainty. European Journal of Operational Research 122, 190–198 (2000)
Mohamed, Z.M.: An integrated production-distribution model for a multi-national company operating under varying exchange rates. International Journal of Production Economics 58, 81–92 (1999)
Tsiakis, P., Shah, N., Pantelides, C.C.: Design of multi-echelon supply chain networks under demand uncertainty. American Chemical Society 40, 3585–3604 (2001)
Sodhi, M.S.: How to do strategic supply-chain planning. MIT Sloan Management Review 45, 69–75 (2003)
Georgiadis, M.C., Tsiakis, P., Longinidis, P., Sofioglou, M.K.: Optimal design of supply chain networks under uncertain transient demand variations. Omega 39, 254–272 (2011)
Cardoso, S.R., Barbosa-Póvoa, A.P., Relvas, S.: Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty. European Journal of Operational Research 226, 436–451 (2013)
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© 2015 Springer International Publishing Switzerland
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Vicente, J.J., Relvas, S., Barbosa-Póvoa, A.P. (2015). Distribution Supply Chain Inventory Planning under Uncertainty. In: Póvoa, A., de Miranda, J. (eds) Operations Research and Big Data. Studies in Big Data, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-24154-8_29
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DOI: https://doi.org/10.1007/978-3-319-24154-8_29
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24152-4
Online ISBN: 978-3-319-24154-8
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