Int. J. of Industrial and Systems Engineering   »   2011 Vol.8, No.3

 

 

Title: Preventive replacement schedule: a case study at a processing industry

 

Author: Rosmaini Ahmad, Shahrul Kamaruddin, Ishak Abdul Azid, Indra Putra Almanar

 

Addresses:
School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal 14300, Penang, Malaysia.
School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal 14300, Penang, Malaysia.
School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal 14300, Penang, Malaysia.
School of Mechanical Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal 14300, Penang, Malaysia

 

Abstract: The application of the preventive maintenance (PM) strategy to reduce machine breakdown problems has been discussed in many studies. One of the popular strategies that widely use it is preventive replacement (PR), which aims to determine the optimum replacement time. The critical issue, however, is that most studies assume the aging (lifetime) of a component to be time dependent. In reality, the failure of a component is influenced by an external factor (covariate). This paper presents the process of revising or updating the PR time by considering external factors (the covariates effect) by using the proportional hazard model (PHM). The revised PR time is determined based on the age replacement model (ARM) and block replacement model (BRM). The effects of the revised PR time on the reliability cycle and cost reduction for both ARM and BRM are compared. The results show that the application of ARM is more beneficial in terms of cost saving, while the application of BRM results in a higher reliability cycle. A corresponding case study in the processing industry is presented.

 

Keywords: preventive maintenance; preventive replacement scheduling; FTM; failure time modelling; PHM; proportional hazard model; processing industry; machine breakdown; covariates; age replacement model; block replacement model; reliability; cost reduction.

 

DOI: 10.1504/IJISE.2011.041544

 

Int. J. of Industrial and Systems Engineering, 2011 Vol.8, No.3, pp.386 - 406

 

Available online: 25 Jul 2011

 

 

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