A Dynamic Maintenance Planning Framework Based on Fuzzy TOPSIS and FMEA: Application in an International Food Company. (6th April 2015)

• Record Type: Journal Article
• Authors: Selim, Hasan; Yunusoglu, Mualla Gonca; Yılmaz Balaman, Şebnem
• Is Part Of: Quality and reliability engineering international. Volume 32:Number 3(2016:Apr.)
• Page Start: 795
• Page End: 804
• Publication Date: 2015-04-06
• Subjects: dynamic maintenance planning -- FMEA -- fuzzy TOPSIS; Reliability (Engineering) -- Periodicals; Quality control -- Periodicals; High technology -- Periodicals; 620.00452
• DOI: 10.1002/qre.1791
• Languages: English
• ISSNs: 0748-8017

Abstract

Abstract : A maintenance planning framework is developed in this study to reduce and stabilize the maintenance costs of the manufacturing companies. The framework is based on fuzzy technique for order preference by similarity to ideal solution(TOPSIS) and failure mode and effects analysis (FMEA) techniques and supports maintenance planning decisions in a dynamic way. The proposed framework is general and can easily be adapted to a host of manufacturing environments in a variety of sectors. To determine the maintenance priorities of the machines, fuzzy TOPSIS technique is employed. In this regard, 'risk priority number' obtained by FMEA and 'current technology', 'substitutability', 'capacity utilization', and 'contribution to profit' are used as the criteria. Performance of the resulting maintenance plan is monitored, and maintenance priorities of the machines are updated by the framework. To confirm the viability of the proposed framework, a real‐world implementation in an international food company is presented. The results of the application reveal that the proposed maintenance planning framework can effectively and efficiently be used in practice. Copyright © 2015 John Wiley & Sons, Ltd.