Development of a model for optimal maintenance policy selection

This paper focuses on developing a model to select the optimal maintenance policy with integration of failure modes and effect analysis and technique for order preference by similarity to ideal solution. In the past few decades, various maintenance policies such as preventive maintenance and predictive maintenance have been developed to improve the performance of the manufacturing system by improving its availability and reliability, and reducing maintenance costs. However, maintenance personnel face many difficulties identifying the optimal maintenance policy because aspects such as failure causes, availability, and the capability of maintenance policies need to be taken into consideration. In addition, most companies lack a systematic and effective selection model for selecting optimal maintenance policy. A system without an optimal maintenance policy not only will reduce the efficiency of system capability but also increase the failure risk of the system. Thus, the main objective of this paper is to propose a maintenance policy selection model that could assist maintenance personnel in identifying an optimal maintenance policy systematically. Furthermore, reduce the failure risk of the system. [Received 21 October 2009; Revised 1 July 2010; Revised 20 January 2012; Revised 15 May 2012; Accepted 20 May 2012]

[1]  M. Ramachandran,et al.  Application of multi-criteria decision making to sustainable energy planning--A review , 2004 .

[2]  Nidhal Rezg,et al.  Subcontracting integration in a joint maintenance/production policy: study on profitability conditions , 2011 .

[3]  Basim Al-Najjar,et al.  Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making , 2003 .

[4]  Michael R. Lovell,et al.  Material and process selection in product design using decision-making technique (AHP) , 2012 .

[5]  R. M. Chandima Ratnayake,et al.  Implementing company policies in plant level asset operations: measuring organisational alignment , 2010 .

[6]  R. M. Chandima Ratnayake,et al.  Technical integrity management: measuring HSE awareness using AHP in selecting a maintenance strategy , 2010 .

[7]  Maurizio Bevilacqua,et al.  A combined goal programming - AHP approach to maintenance selection problem , 2006, Reliab. Eng. Syst. Saf..

[8]  Marcello Braglia,et al.  The analytic hierarchy process applied to maintenance strategy selection , 2000, Reliab. Eng. Syst. Saf..

[9]  Taho Yang,et al.  Multiple-attribute decision making methods for plant layout design problem , 2007 .

[10]  Yun-Chin Chen,et al.  Evaluating the Maintenance Performance of the Semiconductor Factories Based on the Analytical Hierarchy Process and Grey Relational Analysis , 2010 .

[11]  M. Ilangkumaran,et al.  Multi‐criteria decision‐making approach to evaluate optimum maintenance strategy in textile industry , 2008 .

[12]  Pooja Sharma,et al.  System failure behavior and maintenance decision making using, RCA, FMEA and FM , 2010 .

[13]  Minqiang Xu,et al.  ELECTRE III Based on Ranking Fuzzy Numbers for Deterministic and Fuzzy Maintenance Strategy Decision Problems , 2007, 2007 IEEE International Conference on Automation and Logistics.

[14]  Ashraf Labib,et al.  An effective maintenance system using the analytic hierarchy process , 1998 .

[15]  Liliane Pintelon,et al.  CIBOCOF: A framework for industrial maintenance concept development , 2009 .

[16]  Knut Øien,et al.  Recommendations on the use of expert judgment in safety and reliability engineering studies. Two offshore case studies , 1998 .

[17]  Alessandro Brun,et al.  Integrated system for maintenance and safety management through FMECA principles and fuzzy inference engine , 2011 .

[18]  Jianfeng Li,et al.  An evaluation of maintenance strategy using risk based inspection , 2011 .

[19]  N. S. Arunraj,et al.  Risk-based maintenance policy selection using AHP and goal programming. , 2010 .

[20]  Sandip Roy,et al.  A decision-making framework for process plant maintenance , 2010 .