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Two-machine flow shop scheduling with linear decreasing job deterioration

机译:具有线性减少的工作恶化的两机流水车间调度

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In this paper, we consider a two-machine flow shop scheduling problem with deteriorating jobs. By a deteriorating job, we mean that the processing time is a decreasing function of its execution start time. A proportional linear decreasing deterioration function is assumed. The objective is to find a sequence that minimizes total completion time. Optimal solutions are obtained for some special cases. For the general case, several dominance properties and some lower bounds are derived to speed up the elimination process of a branch-and-bound algorithm. A heuristic algorithm is also proposed to overcome the inefficiency of the branch-and-bound algorithm. Computational results for randomly generated problem instances are presented, which show that the heuristic algorithm effectively and efficiently in obtaining near-optimal solutions.
机译:在本文中,我们考虑具有恶化的工作的两机流水车间调度问题。通过恶化的工作,我们意味着处理时间是其执行开始时间的减少函数。假定比例线性下降恶化函数。目的是找到使总完成时间最少的序列。对于某些特殊情况,可以获得最佳解决方案。对于一般情况,导出了一些支配性和一些下限以加快分支定界算法的消除过程。还提出了一种启发式算法来克服分支定界算法的效率低下的问题。给出了针对随机生成的问题实例的计算结果,结果表明,启发式算法可有效地获得近似最优解。

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