Abstract
Effective and efficient operation of a manufacturing system highly depends on the timely and correct implementation of maintenance operations. One of the most important factors affecting the successful implementation of maintenance operations is the determination of suitable inventory control policies for maintenance spare parts. Effective spare parts inventory management requires the criticality evaluation of spare parts. In this study, a novel spare parts criticality evaluation approach is proposed. First, the evaluation criteria are determined based on literature review and expert opinion and Fuzzy Analytical Hierarchy Process (AHP) is used to determine the criteria weights. Next, Taguchi loss functions and simulation modeling are employed for the calculation of loss values for the spare parts. Finally, a criticality ranking of the spare parts is obtained based on the weighted loss values which are calculated using criteria weights and loss values. The applicability of the proposed approach was tested by applying it to a spare part criticality evaluation problem faced by a manufacturing company.
Highlights
Availability of machines has a direct impact on the productivity and profitability of manufacturing systems
We propose a spare parts criticality evaluation approach by integrating Fuzzy Analytical Hierarchy Process (AHP) and Taguchi loss functions
Criteria values for each spare part are determined based on company records and the results obtained from a simulation model
Summary
Availability of machines has a direct impact on the productivity and profitability of manufacturing systems. Fuzzy versions of MCDM methodologies were employed in order to consider the vagueness associated with the spare part criticality evaluation process. Yang and Du developed a spare part criticality evaluation method which is based on the minimization of mean turn-around time and spare parts inventory cost [24]. They calculated a risk priority number for each spare part by incorporating grey relation number and turnaround-time. In this paper a novel spare parts criticality evaluation approach is proposed by integrating fuzzy AHP, simulation and Taguchi loss functions. Fuzzy AHP is employed in order to determine the weights for spare part evaluation criteria.
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