In the light of the complex and dynamic factors that exist in a typical production facility, manual development of an optimal shop-floor schedule is computationally impractical. This paper discusses the effective use of an heuristic algorithm approach to shop-floor scheduling at the TRW Rack and Pinion Division (RPD) Plant in Rogersville, Tennessee. The study documents the introduction of FAST, a computerised scheduling system that employs the Genetic Optimisation Algorithm. Results demonstrate a real potential advantage using this system for shop-floor scheduling, thus facilitating TRWs journey of continuous improvement.
| Identifer | oai:union.ndltd.org:ETSU/oai:dc.etsu.edu:etsu-works-14246 |
| Date | 01 January 1996 |
| Creators | Swinehart, Kerry, Yasin, Mahmoud, Guimaraes, Eduardo |
| Publisher | Digital Commons @ East Tennessee State University |
| Source Sets | East Tennessee State University |
| Detected Language | English |
| Type | text |
| Source | ETSU Faculty Works |
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