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Modeling Maintenance Productivity Measurement of Engineering Production Systems: Discrete Event Simulation Approach (2013)
| Content Provider | CiteSeerX |
|---|---|
| Author | Bolu, Christian A. |
| Abstract | systems is one of the major concerns of productivity engineers for the establishment of productivity standards in virtually all functional areas of an organization. There are several activities in a metal fabrication system, such as aluminium rolling mills, but the maintenance function is a major area, if optimised, can ensure its profitability. The maintenance functions have several parameters to monitor and measure and there is the need for an integrated approach to optimize the basket of parameters measured. This paper is a study of the maintenance fabrication system with a view at identifying suitable approaches in integrated and systematic maintenance productivity measurement and creating models for optimising total productivity. Discussing several approaches of maintenance productivity measurement it shows how understanding the impact of plant failure and repair/service distributions assists in enhancing maintenance productivity using discrete event system simulation. |
| File Format | |
| Publisher Date | 2013-01-01 |
| Access Restriction | Open |
| Subject Keyword | Maintenance Productivity Measurement Engineering Production System Discrete Event Simulation Approach Maintenance Function Suitable Approach Systematic Maintenance Productivity Measurement Integrated Approach Total Productivity Maintenance Fabrication System Productivity Engineer Several Approach Several Activity Repair Service Distribution Plant Failure Major Concern Functional Area Metal Fabrication System Major Area Several Parameter Discrete Event System Simulation Maintenance Productivity |
| Content Type | Text |
| Resource Type | Article |