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A Study on the Scheduling Problem in Two-Stage Convergent Mixed-Model Production Systems

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This paper focuses on the scheduling problem in convergent mixed-model production systems, where mixedmodel assembly lines and multi-product fabricating lines are involved. Considering the availability of components for assembly, supplied by fabricating lines, completion times of jobs are formulated by introducing component ready times. An optimization model is then established, and a simulated annealing (SA) algorithm is implemented. The algorithm is compared to a famous heuristics, NEH, which is efficient in generate perfect schedules for a flow line independently. Results shows that the dependence between assembly lines and fabricating lines can not be ignored simply, and the SA algorithm is efficient enough and seems to be applicable in production practices to some extent.
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Document Type: Research Article

Publication date: November 1, 2013

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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