Abstract
Job shop scheduling encompasses combinatorial problems of extraordinary difficulty. The special structure of a flow shop, in which the machines can be ordered in series, offers some advantages. Employing the disjunctive graph as a model of a flow shop, we proceed to formulate a mixed integer model for the problem of minimizing the makespan. By decomposing the model into unlinked one-machine sequencings without due dates, Lagrangian relaxation introduces subproblems amenable to the greedy algorithm. Moreover, since the subproblems do not have the integrality property, the Lagrangian bound can be stronger than the LP bound.
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© 1998 Springer Science+Business Media Dordrecht
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Polak, G.G. (1998). Lagrangian Relaxation for Flow Shop Scheduling. In: Yu, G. (eds) Industrial Applications of Combinatorial Optimization. Applied Optimization, vol 16. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2876-7_11
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DOI: https://doi.org/10.1007/978-1-4757-2876-7_11
Publisher Name: Springer, Boston, MA
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