Applying an analytical approach to shop-floor scheduling: a case study Online publication date: Tue, 02-Nov-2010
by Kerry Swinehart, Mahmoud Yasin, Eduardo Guimaraes
International Journal of Materials and Product Technology (IJMPT), Vol. 11, No. 1/2, 1996
Abstract: 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 TRW's journey of continuous improvement.
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