An Integrated Model of Material Supplier Selection and Order Allocation Using Fuzzy Extended AHP and Multiobjective Programming

This paper presents a supplier selection and order allocation (SSOA) model to solve the problem of a multiperiod supplier selection and then order allocation in the environment of short product life cycle and frequent material purchasing, for example, fast fashion environment in apparel industry. At...

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Vydáno v:Mathematical problems in engineering Ročník 2013; číslo 2013; s. 1 - 14
Hlavní autoři: Li, Zhi, Kwong, C. K., Wong, WaiKeung
Médium: Journal Article
Jazyk:angličtina
Vydáno: Cairo, Egypt Hindawi Publishing Corporation 01.01.2013
John Wiley & Sons, Inc
Témata:
Allocations
Analytic hierarchy process
Component and supplier management
Cost allocation
Cost analysis
Decision analysis
Decision making
Dynamic programming
Fuzzy
Materials selection
Mathematical analysis
Mathematical models
Mathematical programming
Multiple objective analysis
Operations research
Order quantity
Product life cycle
Purchasing
Risk allocation
Studies
Suppliers
Supply chains
ISSN:1024-123X, 1563-5147
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Shrnutí:This paper presents a supplier selection and order allocation (SSOA) model to solve the problem of a multiperiod supplier selection and then order allocation in the environment of short product life cycle and frequent material purchasing, for example, fast fashion environment in apparel industry. At the first stage, with consideration of multiple decision criteria and the fuzziness of the data involved in deciding the preferences of multiple decision variables in supplier selection, the fuzzy extent analytic hierarchy process (FEAHP) is adopted. In the second stage, supplier ranks are inputted into an order allocation model that aims at minimizing the risk of material purchasing and minimizing the total material purchasing costs using a dynamic programming approach, subject to constraints on deterministic customer demand and deterministic supplier capacity. Numerical examples are presented, and computational results are reported.
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ISSN:1024-123X
1563-5147
DOI:10.1155/2013/363718