Integrated Fuzzy ANP, Fuzzy VIKOR and goal programming for sourcing in a supply chain: A case study from cable industry

In today’s competitive business environment, companies strive to increase their market shares. All companies clearly understand that they have to reach this goal by implementing cost effective methods and increase profits as much as possible. The cost of purchasing raw materials and component parts...

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Published in:Decision Science Letters Vol. 2; no. 4; pp. 287 - 298
Main Authors: Rezaei, Masoud, Abedini Naeeni, Mahdi, Sabet Motlagh, Mohammad
Format: Journal Article
Language:English
Published: Growing Science 01.10.2013
Subjects:
Fuzzy Analytic network process
Fuzzy VIKOR
Multi-objective mixed integer nonlinear programming
Sourcing
ISSN:1929-5804, 1929-5812
Online Access:Get full text
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Abstract In today’s competitive business environment, companies strive to increase their market shares. All companies clearly understand that they have to reach this goal by implementing cost effective methods and increase profits as much as possible. The cost of purchasing raw materials and component parts are significant portion of products in most manufacturing firms. Supplier selection and evaluation have been widely recognized to be one of the most substantial issues on material purchasing. In order to choose reliable suppliers it is necessary to have a trade-off between some tangible and intangible factors where some of them are in serious conflict. In this paper, an integrated technique of analytical network process improved by VIKOR and fuzzy sets theory and multi-objective mixed integer nonlinear programming is proposed to determine the appropriate suppliers. The proposed model of this paper also determines the order quantity allocated to each supplier in the case of multiple sourcing, multiple products and multi-period time horizon for an Iranian cable company.
AbstractList In today’s competitive business environment, companies strive to increase their market shares. All companies clearly understand that they have to reach this goal by implementing cost effective methods and increase profits as much as possible. The cost of purchasing raw materials and component parts are significant portion of products in most manufacturing firms. Supplier selection and evaluation have been widely recognized to be one of the most substantial issues on material purchasing. In order to choose reliable suppliers it is necessary to have a trade-off between some tangible and intangible factors where some of them are in serious conflict. In this paper, an integrated technique of analytical network process improved by VIKOR and fuzzy sets theory and multi-objective mixed integer nonlinear programming is proposed to determine the appropriate suppliers. The proposed model of this paper also determines the order quantity allocated to each supplier in the case of multiple sourcing, multiple products and multi-period time horizon for an Iranian cable company.
Author Abedini Naeeni, Mahdi
Sabet Motlagh, Mohammad
Rezaei, Masoud
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Snippet In today’s competitive business environment, companies strive to increase their market shares. All companies clearly understand that they have to reach this...
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StartPage 287
SubjectTerms Fuzzy Analytic network process
Fuzzy VIKOR
Multi-objective mixed integer nonlinear programming
Sourcing
Title Integrated Fuzzy ANP, Fuzzy VIKOR and goal programming for sourcing in a supply chain: A case study from cable industry
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