Spare parts criticality evaluation using hybrid multiple criteria decision making technique
Sarojini Jajimoggala,
V.V.S. Kesava Rao and
Satyanarayana Beela
International Journal of Information and Decision Sciences, 2012, vol. 4, issue 4, 350-370
Abstract:
Criticality evaluation of spare parts is very important for controlling the spare parts inventory. The service levels that are specified consequent to the criticality evaluation serve as one of the inputs enabling smooth operation of production facilities. Systematic criticality evaluation of spare parts is the key to effective control of spare parts inventory systems. In order to deal with this problem, the criticality of the spare parts (SPs) must be confirmed. There are many factors to be considered as a part of the criticality of spare parts for maintenance activities. Consequently, evaluation procedures involve several objectives and it is often necessary to compromise among possibly conflicting tangible and intangible factors. For these reasons, MCDM has been found to be a useful approach to solve this kind of problem. In the present work, a three phase hybrid model is developed for the evaluation of criticality of the spare parts. The first stage involves identifying the criteria. The second stage is to prioritise the different criteria using fuzzy ANP, and then finally ranking of spare parts using fuzzy TOPSIS.
Keywords: maintenance; spare parts inventory; multicriteria decision making; MCDM; fuzzy sets; fuzzy ANP; analytical network process; fuzzy TOPSIS; linear goal programming; LGP priority method; inventory control; criticality evaluation. (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.inderscience.com/link.php?id=50377 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ids:ijidsc:v:4:y:2012:i:4:p:350-370
Access Statistics for this article
More articles in International Journal of Information and Decision Sciences from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().