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Applying an Analytical Approach to Shop-Floor Scheduling: A Case Study

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.

Identiferoai:union.ndltd.org:ETSU/oai:dc.etsu.edu:etsu-works-14246
Date01 January 1996
CreatorsSwinehart, Kerry, Yasin, Mahmoud, Guimaraes, Eduardo
PublisherDigital Commons @ East Tennessee State University
Source SetsEast Tennessee State University
Detected LanguageEnglish
Typetext
SourceETSU Faculty Works

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