2014
DOI: 10.1016/j.tre.2014.03.002
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Joint production and delivery lot sizing for a make-to-order producer–buyer supply chain with transportation cost

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Cited by 27 publications
(24 citation statements)
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“…Liu and Papageorgiou [15] developed a multi objective MIP approach to address production, distribution and capacity planning of global supply chains considering cost, responsiveness and customer service level simultaneously to achieve an equitably efficient or Pareto optimal solution. Lee and Fu [16] considered joint production and delivery lot sizing for a make-to-order producer-buyer supply chain with transportation cost. An integrated production and distribution scheduling problem in a make-to-order supply chain with limited production and distribution capacity was considered by Viergutz and Knust [17].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Liu and Papageorgiou [15] developed a multi objective MIP approach to address production, distribution and capacity planning of global supply chains considering cost, responsiveness and customer service level simultaneously to achieve an equitably efficient or Pareto optimal solution. Lee and Fu [16] considered joint production and delivery lot sizing for a make-to-order producer-buyer supply chain with transportation cost. An integrated production and distribution scheduling problem in a make-to-order supply chain with limited production and distribution capacity was considered by Viergutz and Knust [17].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Although a good degree of research has been done with regard to the supply chain concept [52][53][54][55][56], none of them has investigated the linkage between the hub location-allocation field and the supply chain.…”
Section: Supply Chain Managementmentioning
confidence: 99%
“…The basic JELP with various costs modelling is tackled by a number of researchers (ERTOGRAL; DARWISH; BEN-DAYA, 2007;FU, 2014;WANG;LEE, 2013;MARCHI et al, 2016). Extensions of the basic JELP can be found in (VAN HOESEL et al, 2005), were the decision variables were taken over a number of periods.…”
Section: Introductionmentioning
confidence: 99%