A Data Based Reliability Evaluation of a Mold Production System

Abstract

Evaluation of the operating performance of the machines used in manufacturing companies is extremely important in terms of planning and effective management of maintenance and repair works. The main method used in the study is statistical reliability analysis. Since reliability analysis covers the studies that enable the company to maintain its quality in the long term, it enables more effective use of statistical methods through time-based data collected in the sector. For this purpose, in this study, an effective evaluation of the data obtained by examining the running and downtime of all machines in production together with the reasons for downtime in a mold manufacturing company is carried out. In addition, the reliability analysis method has been used effectively in a mold manufacturing company in a way that allows probabilistic prediction of the time-based operating performances of the machines. As a result of the comprehensive analysis applied, time-based reliability estimation on machine basis, average remaining lifetime estimation, optimal replacement times taking into account various costs are calculated. Thus, machine performance evaluations are made in the company and low-performance, or more reliable machines are identified. In addition, for a k-out-of-n system structure, reliability predictions are made under 3 different scenarios, and the results are analyzed for the company. All the results obtained are presented in detail with various tables and graphs.

Keywords

• Reliability Analysis
• Mean Residual Lifetime
• Availability
• Average Replacement Cost

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