A Practical Self-Assessment Framework for Evaluation of Maintenance Management System based on RAMS Model and Maintenance Standards

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
A set of technical, administrative and management activities are done in the life cycle of equipment, to be located in good condition and have proper and expected functioning. This is refers to be, maintenance management system (MMS). The framework and models of assessment in order to enhance effectiveness of a MMS could be proposed in two categories: qualitative and quantitative. In this research, the self-assessment’s dimensions of MMS have been established and examined that affect the successful implementation of this system in companies. This research uses a case study and review methodology (second hand material such as TPM, ISO 14224 and IEC 60300-3-14 and RAMS model) to extract dimensions, related indices and issues about how MMS to be measured and self-assessed these dimensions and indices. According to surveys and studies done by the authors the common dimensions of frameworks and models for evaluating MMS have been determined which includes; maintenance organization, training programs in maintenance, maintenance reporting, reliability engineering, maintenance – general practices, financial optimization, asset care continuous improvement, maintenance contracting, document management, the safety level of work environment, maintenance inventory and purchasing, predictive maintenance (PdM), maintenance work orders, maintenance planning and scheduling, maintenance automation(CMMS), operations/ facilities involvement on running of maintenance programs, preventive maintenance (PM) and maintenance quality management (MQM). Additionally, this paper will be presented a self-assessment framework based on the above mentioned topics for evaluation and placement of the MMS according to the total score earned in a Wireman pyramid. Then, according to the review of the literature, the appropriate indicators for each dimension of evaluation have been extracted and the framework has been tested in a petrochemical company.
Language:
English
Published:
Journal of Industrial and Systems Engineering, Volume:10 Issue: 1, Winter 2017
Pages:
125 to 143
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