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Kweon, Sang Jin
Operations Research and Applied Optimization Lab.
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An integrated acquisition policy for supplier selection and lot sizing considering total quantity discounts and a quality constraint

Author(s)
Li, XinVentura, Jose A.Venegas, Barbara B.Kweon, Sang JinHwang, Seong Wook
Issued Date
2018-11
DOI
10.1016/j.tre.2018.09.003
URI
https://scholarworks.unist.ac.kr/handle/201301/26280
Fulltext
https://www.sciencedirect.com/science/article/pii/S1366554517311572?via%3Dihub
Citation
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, v.119, pp.19 - 40
Abstract
We consider a two-stage supply chain where a buyer purchases a product from multiple capacitated suppliers to satisfy a constant demand rate over a finite planning horizon. Suppliers have different perfect rates and offer total quantity discounts. The buyer selects suppliers and allocates orders to them that satisfy a minimum average quality level. A mathematical model is proposed with the objective on minimizing the total cost per time unit. The model is solved by dualizing the quality constraint. The relaxed model is solved by an efficient dynamic programming algorithm. The subgradient method is used to solve the dual problem.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
ISSN
1366-5545
Keyword (Author)
Supplier selectionLot sizingTotal quantity discountDynamic programmingLagrangian relaxation
Keyword
ITEM MULTISUPPLIER SYSTEMSERIAL INVENTORY SYSTEMFAILURE RISKMODELCOORDINATIONALLOCATIONALGORITHMBUYERSSIZETIME

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