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Heuristics for solving flow shop scheduling problem under resources constraints

机译:资源约束下求解流水车间调度问题的启发式方法

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摘要

Most of traditional scheduling problems deal with machine as the only resource, however, other resources such as raw materials is often disregards. Considering the second resource makes scheduling problems more realistic and practical to implement in manufacturing industries. Due to the applicability of flow shop environment in different manufacturing, scheduling of these types of shops are extensively studied by several authors. However, introducing an additional resource in this environment is not well studied. The present work deals with makespan minimization in flow shop scheduling problems where no renewable resources constraints are considered. The paper illustrates the importance of Johnson (1954) algorithm for the two machine flow shop under resources constraints. A mathematical model is also presented. Then a well-know heuristic is adapted to propose fast solution for the m machines flow shop problem subject to resource constraint.
机译:大多数传统的调度问题都将机器视为唯一的资源,但是,诸如原材料之类的其他资源通常被忽略。考虑到第二种资源,使调度问题在制造行业中更加现实和实用。由于流水车间环境在不同制造中的适用性,几位作者广泛研究了这类车间的调度。但是,在这种环境下引入其他资源的研究还不够深入。目前的工作涉及在不考虑可再生资源约束的情况下,流水车间调度问题中的制造期最小化。本文阐述了约翰逊(Johnson)(1954)算法对于资源约束下两个机器流水车间的重要性。还介绍了一个数学模型。然后,采用一种广为人知的启发式方法,为受资源限制的m机器流水车间问题提出快速解决方案。

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