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Application of Alternative Multi-criteria Decision Making Approaches to Supplier Selection Process

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Intelligent Techniques in Engineering Management

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 87))

Abstract

In today’s highly competitive and turbulent business environment, selection of reliable and high quality suppliers has become the most important purchasing decision in order to reduce the production cost while maintaining the product quality and customer satisfaction simultaneously. The problem of supplier selection gets complicated further when a company looks for various criteria to evaluate different suppliers that lead it to become a multi-criteria decision making (MCDM) problem. This work reviews supplier selection models based on both individual and hybrid MCDM methodologies. A case study of an automobile company is presented to illustrate and propose three alternative supplier selection models based on analytic hierarchy process (AHP) as an individual MCDM methodology and data envelopment analytic hierarchy process (DEAHP) and fuzzy analytic hierarchy process (FAHP) as hybrid MCDM methodologies.

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Acknowledgement

Authors are grateful to anonymous reviewers for their helpful and constructive comments.

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Authors and Affiliations

  1. Department of Production and Industrial Engineering, M.B.M. Engineering College, Faculty of Engineering and Architecture, Jai Narain Vyas University, Jodhpur, Rajasthan, 342011, India

    Vinod Yadav & Milind Kumar Sharma

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  1. Vinod Yadav
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  2. Milind Kumar Sharma
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Correspondence to Milind Kumar Sharma .

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Editors and Affiliations

  1. Department of Industrial Engineering Management Faculty, Istanbul Technical University, Istanbul, Turkey

    Cengiz Kahraman

  2. Department of Industrial Engineering, Istanbul Technical University Management Faculty, Istanbul, Turkey

    Sezi Çevik Onar

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Yadav, V., Sharma, M.K. (2015). Application of Alternative Multi-criteria Decision Making Approaches to Supplier Selection Process. In: Kahraman, C., Çevik Onar, S. (eds) Intelligent Techniques in Engineering Management. Intelligent Systems Reference Library, vol 87. Springer, Cham. https://doi.org/10.1007/978-3-319-17906-3_27

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  • DOI: https://doi.org/10.1007/978-3-319-17906-3_27

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