Integration of Fuzzy PIPRECIA and Fuzzy MOORA Methods for Maintenance Strategy Selection

Autor: Nilsen Kundakcı
Jazyk: English<br />Turkish
Rok vydání: 2023
Předmět:
Zdroj: Pamukkale Üniversitesi İşletme Araştırmaları Dergisi, Vol 10, Iss 2, Pp 401-423 (2023)
Druh dokumentu: article
ISSN: 2757-7260
DOI: 10.47097/piar.1256081
Popis: In today’s competitive environment, there is a pressure on companies for reducing costs and increasing the quality by providing on time delivery. Maintenance, plays an important role in reducing cost, improving quality, reducing failures, minimizing machine downtime, increasing productivity and as a result achieving objectives of company. The aim of this paper is to select best maintenance strategy for a manufacturing company by using an integrated fuzzy MCDM (Multi-Criteria Decision Making) approach. This approach is based on fuzzy PIPRECIA (Pivot Pairwise Relative Criteria Importance Assessment) and fuzzy MOORA (Multi Objective and Optimization on the Basis of Ratio Analysis) methods. The selection of maintenance strategy is a multi-criteria decision making (MCDM) problem. As this problem includes uncertainties and difficulty in evaluating alternatives and criteria with definite expressions, fuzzy MCDM approach is proposed for selecting the best maintenance strategy. As a result of the application of the proposed integrated method in the manufacturing company, the ranking of the maintenance strategies was obtained, and predictive maintenance strategy was determined as the most appropriate maintenance strategy for the company.
Databáze: Directory of Open Access Journals