Improvement of decision making grid model for maintenance management in Small and Medium Industries

Small and Medium Industries (SMIs) generate significant contribution in the economic growth in developing countries. To achieve the standard expected product from customers, SMIs must produce marketable product in term of quality, quantity and prices. This requires the investment in technology for supporting daily operation and maintenance management. In previous research, maintenance decision support system has been developed using decision making grid (DMG) model to solve the problem. In this study, the researches apply tri-quadrant technique to cluster the DMG. This study focuses on the effect from the improvement of DMG model in categorizing low, medium and high criterion for the real production floor in SMIs. The result shows not only the reduction of cost and machines downtime but also better reliability on daily maintenance operation.

I. Introduction

Today computerized systems have play important role factors in Small and Medium Industries (SMIs). In a daily operation, SMIs managers have to achieve marketable results by focusing on areas such as quality, quantity, cost and reliability. They suppose to cut across many functional lines and utilizing many skills that need to be optimally managed for maximum and efficient results. In maintenance department, they should have a good system to monitor and analyze the machines to work in maximum result. There are four challenges faced by the maintenance department [1]: •

Maintain existing assets;

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Improve, enhance existing assets to achieve environmental, regulatory compliance or create additional production capacity;

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Modify, renovate or overhaul existing assets whenever necessary; and

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Add new assets and assume increased scope of work as all assets get older and older.