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The m-Machine Flow Shop

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Flow Shop Scheduling

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 182))

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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.

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  1. Weatherhead School of Management, Case Western Reserve University, Cleveland, OH, 44106, USA

    Hamilton Emmons & George Vairaktarakis

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  1. Hamilton Emmons
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  2. George Vairaktarakis
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Correspondence to Hamilton Emmons .

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Emmons, H., Vairaktarakis, G. (2013). The m-Machine Flow Shop. In: Flow Shop Scheduling. International Series in Operations Research & Management Science, vol 182. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-5152-5_4

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