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Risk Evaluation of Warehouse Operations Using Fuzzy FMEA

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Advances in Computational Intelligence (IPMU 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 300))

Abstract

Warehouse processes in supply chain operations contain risks which lead to a poor supply chain performance. Therefore, risk analysis in warehouse operations is a critical issue to increase both the supply chain efficiency and the customer service level. In this study, fuzzy FMEA method is used to evaluate the risks of warehouse operations. Ten failure factors are determined for warehouse operations of a food retail distributor. As the first five cause permanent shrinkage of products, the second five are related to the processes. According to the evaluations of the FMEA team members, fuzzy and crisp risk priority numbers (RPN) of ten failure factors are determined.

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Author information

Authors and Affiliations

  1. Industrial Engineering Department, Istanbul Technical University, 34367, Macka, Istanbul, Turkey

    Alp Ustundag

Authors
  1. Alp Ustundag
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Editor information

Editors and Affiliations

  1. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco  & Benedetto Matarazzo  & 

  2. CNRS UMR 7606, DAPA, LIP6 8, Université Pierre et Marie Curie - Paris6, rue du Capitaine Scott, F-75015, Paris, France

    Bernadette Bouchon-Meunier

  3. Dip. Matematica e Informatica, Università di Perugia, 06123, Perugia, Italy

    Giulianella Coletti

  4. Department of Computer and Management Science, University of Trento, Via Inama 5, 38122, Trento, Italy

    Mario Fedrizzi

  5. Machine Intelligence Institute — IONA College,, 10801, New Rochelle, NY, USA

    Ronald R. Yager

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© 2012 Springer-Verlag Berlin Heidelberg

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Ustundag, A. (2012). Risk Evaluation of Warehouse Operations Using Fuzzy FMEA. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds) Advances in Computational Intelligence. IPMU 2012. Communications in Computer and Information Science, vol 300. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31724-8_42

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  • DOI: https://doi.org/10.1007/978-3-642-31724-8_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31723-1

  • Online ISBN: 978-3-642-31724-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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