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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Vydáno v:Omega (Oxford) Ročník 36; číslo 4; s. 509 - 521
Hlavní autoři: Ustun, Ozden, Demı˙rtas, Ezgi Aktar
Médium: Journal Article
Jazyk:angličtina
Vydáno: Exeter Elsevier Ltd 01.08.2008
Elsevier
Elsevier Science Publishers
Pergamon Press Inc
Edice:Omega
Témata:
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
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Popis
Shrnutí: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 paper an integrated approach of analytic network process (ANP) and multi-objective mixed integer linear programming (MOMILP) is proposed. This integrated approach considers both tangible and intangible factors in choosing the best suppliers and defines the optimum quantities among selected suppliers to maximize the total value of purchasing (TVP), and to minimize the total cost and total defect rate and to balance the total cost among periods. The priorities are calculated for each supplier by using ANP. Four different plastic molding firms working with a refrigerator plant are evaluated according to 14 criteria that are involved in the four clusters: benefits, opportunities, costs and risks (BOCR). The priorities of suppliers will also be used as the parameters of the first objective function. This multi-objective and multi-period real-life problem is solved by using previous techniques and a reservation level driven Tchebycheff procedure (RLTP). Finally the most preferred nondominated solutions are determined by considering the decision maker's (DM's) preferences and the results obtained by these techniques are compared.
Bibliografie:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:0305-0483
1873-5274
DOI:10.1016/j.omega.2006.12.004