An integrated multi-objective decision-making process for multi-period lot-sizing with supplier selection

Supplier selection is a multi-criteria problem which includes both tangible and intangible factors. In these problems if suppliers have capacity or other different constraints two problems will exist: which suppliers are the best and how much should be purchased from each selected supplier? In this...

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Bibliographic Details
Published in:	Omega (Oxford) Vol. 36; no. 4; pp. 509 - 521
Main Authors:	Ustun, Ozden, Demı˙rtas, Ezgi Aktar
Format:	Journal Article
Language:	English
Published:	Exeter Elsevier Ltd 01.08.2008 Elsevier Elsevier Science Publishers Pergamon Press Inc
Series:	Omega
Subjects:	Analysis Analytic network process Analytic network process Multi-objective mixed integer linear programming Reservation level driven Tchebycheff procedure Multi-criteria decision making Supplier selection Multi-period lot-sizing Applied sciences Case studies Decision theory. Utility theory Evaluation Exact sciences and technology Industrial suppliers Integrated approach Inventory control, production control. Distribution Linear programming Management Mathematical programming Multi-criteria decision making Multi-objective mixed integer linear programming Multi-period lot-sizing Multiple criteria decision making Operational research and scientific management Operational research. Management science Reservation level driven Tchebycheff procedure Selection Studies Supplier selection Suppliers United States Reservation level driven Tchebycheff procedure Analytic network process Supplier selection Multi-objective mixed integer linear programming Multi-criteria decision making Multi-period lot-sizing Multicriteria analysis Multiobjective programming Lot sizing Optimization Multiple decision Inelasticity Purchasing Network Defect Supplier Purchases Molding Decision support system Decision making Priority Cluster Mixed integer programming Refrigerator Optimum Preference Capacity constraint Objective function Plastics
ISSN:	0305-0483, 1873-5274
Online Access:	Get full text
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