Comparative Study of AHP and ANP on Multi-Automotive Suppliers with Multi-Criteria

Agility in supply chain management for automotive industries is important in order to supply the customer requirements at right time and making the supply chain capable to compete with internal and external competitors. This study finds what the most agile automotive factory in supply chain is. Two...

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Bibliographic Details
Published in:Lecture notes in engineering and computer science Vol. 2; pp. 1031 - 1036
Main Authors: Azizi, Amir, maleki, Razieh
Format: Journal Article
Language:English
Published: 01.01.2014
Subjects:
Analytic hierarchy process
Automotive components
Automotive industry
Factories
Industrial engineering
Industrial plants
Manufacturing engineering
Suppliers
Supply chains
ISBN:9789881925336, 9881925339
ISSN:2078-0958, 2078-0966
Online Access:Get full text
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Summary:Agility in supply chain management for automotive industries is important in order to supply the customer requirements at right time and making the supply chain capable to compete with internal and external competitors. This study finds what the most agile automotive factory in supply chain is. Two approaches, namely, Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP) are applied to propose a framework for recognizing the most agile automotive factory in supply chain. In AHP, the criteria are considered independently but in ANP interdependencies between criteria are also considered. The related sub-criteria are identified by industrial experts and Delphi method. Two models are elaborated using two AHP and ANP approaches considering four suppliers: A, B, C, D factories. It is identified that factory A with ultimate weight of 50.4% in AHP and weight of 54.2% in ANP models has been selected as the most agile supplier. On the other hand, factory D with 7.2% in AHP and 7.1% in ANP has been recognized as the least agile supplier.
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ISBN:9789881925336
9881925339
ISSN:2078-0958
2078-0966