Abstract
In manufacturing or production setup, maintenance cost is one of the major portions of overall operating expenditure. It can vary between 15 to 60 percentage of overall cost for various industries including food related industries, iron, steel and other heavy industries. Such a high cost directly impacts manufacturing setup, profitability and sustainability in long run. In most of the industries, ineffective maintenance management can result in loss of capital and inefficient human resource deployment. This in turn affects the plants’ ability to manufacture quality products that are competitive in the market. Various maintenance management strategies including Operate to Failure (OTF), Design Out Maintenance (DOM), Skill Level Upgrade (SLU), ConditionBased Monitoring (CBM) and Fixed Time Maintenance (FTM) are used in industries for maximizing productivity. In recent years, Computerized Maintenance Management System (CMMS) has become an integral part of most of the industries so its importance and characteristics cannot be understated. While CMMS cannot live standalone, it requires some decision-making techniques to be equipped with. These techniques range from Failure Mode and Effect Analysis (FMEA) to Decision Making Grid (DMG). In this paper, concept of DMG has been applied to an automotive parts Manufacturing Industry in conjunction with Weibull analysis. Parallels are drawn between the results of DMG and Weibull analysis.
Highlights
Majority of the companies emphasize on higher productivity, quality and reduction in maintenance cost for them to succeed in doing business
Suggested by Labib [6], Decision Making Grid (DMG) is a visual tool for decision support that monitors the performance of the worst machines based on two criteria, downtime and frequency of failures
Operate to Failure (OTF) The aim of DMG is to move the machines from their current location in the grid to the top left corner where equipment with both minimum frequency and downtime (OTF) is placed
Summary
Majority of the companies emphasize on higher productivity, quality and reduction in maintenance cost for them to succeed in doing business. Suggested by Labib [6], DMG is a visual tool for decision support that monitors the performance of the worst machines based on two criteria, downtime and frequency of failures. Operate to Failure (OTF) The aim of DMG is to move the machines from their current location in the grid to the top left corner where equipment with both minimum frequency and downtime (OTF) is placed. Burhanuddin et al [12] analyzed the machine clustering for maintenance using decision making model It was demonstrated how the downtime analysis can be conducted to cluster machines using DMG. Burhanuddin et al [9] applied decision making model using multiple criteria analysis for small and medium industries. The shape parameter β indicates the pattern of deterioration of components in their life span
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
