The m-Machine Flow Shop

Hamilton Emmons () and George Vairaktarakis ()
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Hamilton Emmons: Case Western Reserve University
George Vairaktarakis: Case Western Reserve University

Chapter Chapter 4 in Flow Shop Scheduling, 2013, pp 97-160 from Springer

Abstract: Abstract Considered to be a very general case of flow shop systems, the m-machine flow shop is the most researched system in all of flow shop theory. Beyond solving the problem under a variety of objectives and side constraints, the m-machine flow shop serves as a test bed for new methodological tools. Regarding solutions, the research presented in this chapter is rich in lower bounding schemes, dominance properties, heuristic algorithms and computational experiments measuring their success. The models considered not only deal with all the standard regular performance measures, but also application-specific objective functions. A lot of work is also available on problems with multiple objectives. We find that the most successful solutions on problems of practical size are due to metaheuristic implementations including simulated annealing, tabu search and genetic algorithms. In contrast, branch-and-bound algorithms are mostly inadequate.

Keywords: Schedule Problem; Completion Time; Flow Shop; Total Tardiness; Partial Schedule (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4614-5152-5_4

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DOI: 10.1007/978-1-4614-5152-5_4

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