Maintenance strategy decision applying analytic network process in industries: a comparative study

Mary C. Kurian, P.R. Shalij, V.R. Pramod and C.P. Sunilkumar

International Journal of Industrial and Systems Engineering, 2021, vol. 38, issue 3, 263-290

Abstract: To enhance the availability, reliability and safety of equipment, it is essential for the industries to implement an efficient maintenance program. This research paper illustrates and compares the maintenance strategies of two different types of industries and compares the results. The analytic network process (ANP) method is applied in two industries for maintenance strategy choice which is an innovative and effective method for solving decision problems involving multiple criteria with interdependence relations. In order to explicate the difference between the maintenance strategies adopted by various industries, ANP method is applied in a tyre industry and in a steel industry for strategy selection and the results are compared. Comparison of these results proves that ANP is an effective technique in multiple criteria decision analysis (MCDA) for solving problems having interdependence relations having significant impact (Cheng et al., 2005) and reactive maintenance (RM) is the most preferred alternative for the industry.

Keywords: analytical network process; ANP; multiple criteria decision analysis; MCDA; pair-wise relation matrix; consistency ratio; super matrix; overall weighted score index; OWSI. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=116247 (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:ijisen:v:38:y:2021:i:3:p:263-290

Access Statistics for this article

More articles in International Journal of Industrial and Systems Engineering from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().