Determination of material handling equipment for lean in-plant logistics using fuzzy analytical network process considering risk attitudes of the experts

Omer Faruk Yilmaz*, Basar Oztaysi, Mehmet Bulent Durmusoglu, Sultan Ceren Oner

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

30 Citations (Scopus)

Abstract

Using right material handling equipment (MHE) is substantial in terms of manufacturing costs even if related manufacturing environment is lean. In this paper, right materials handling equipment selection problem is investigated at the line feeding systems such as kitting and milk-run systems. Each system has three alternatives for selection, and the main problem is the difficulty in selecting the appropriate one since these equipment are integrated with each other by means of a total of nine possible combinations. In order to select the most appropriate combination, alternative equipment is evaluated separately at first, and then, resulting priorities are aggregated to find the best alternative. In the equipment selection decision model, there are four main criteria and seventeen sub-criteria. Since the dependencies appear within the criteria, Fuzzy Analytic Network Process (FANP) technique is preferred. Besides that, risk attitudes of the experts are also incorporated into the model using linguistic terms in order to reach accurate results. The numerical application inspired from a real-world application in an electronic device assembly plant located in Istanbul is implemented. The result of the numerical application demonstrated that Tugger Automated Guided Vehicle (AGV) should be used for the milk-run system and a Belt conveyor should be acquired for the kitting system.

Original languageEnglish
Pages (from-to)81-122
Number of pages42
JournalInternational Journal of Industrial Engineering : Theory Applications and Practice
Volume24
Issue number1
Publication statusPublished - 2017

Keywords

  • ANP
  • Fuzzy
  • In-plant milk-run
  • Kitting system
  • Material handling equipment
  • Risk

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