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首页> 外文期刊>International Journal of Production Research >Profit-oriented partial disassembly line design: dealing with hazardous parts and task processing times uncertainty
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Profit-oriented partial disassembly line design: dealing with hazardous parts and task processing times uncertainty

机译：以利润为导向的部分拆卸生产线设计：处理危险零件和任务处理时间的不确定性

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This paper addresses the problem of profit-oriented disassembly line design and balancing considering partial disassembly, presence of hazardous parts and uncertainty of task processing times. Few papers have studied the stochastic disassembly line balancing problem and existing approaches have focused on heuristic and metaheuristic methods. Most existing work has concentrated on complete disassembly where task times are assumed to be normal random variables and where AND/OR graphs are not considered. The objective of this paper is the design of a serial line that obtains the maximum revenue and then balances the workload under uncertainty. The processing time of a disassembly task is assumed to be a random variable with any known probability distribution. An AND/OR graph is used to model the precedence relationships among tasks. Stochastic programming models and exact-based solution approaches combining the L-shaped algorithm and Monte Carlo sampling techniques are proposed. The relevance and applicability of the proposed models and solution methods are shown by solving efficiently a set of disassembly problem instances from the literature.
机译：本文讨论了以利润为导向的拆卸生产线设计和考虑部分拆卸，危险零件的存在以及任务处理时间不确定性的平衡问题。很少有论文研究随机分解线的平衡问题，现有方法集中在启发式和元启发式方法上。现有的大多数工作都集中在完全分解上，其中任务时间被认为是正常的随机变量，并且不考虑AND / OR图。本文的目的是设计一条串行线路，该线路可以获得最大的收益，然后在不确定的情况下平衡工作量。假定拆卸任务的处理时间是具有任何已知概率分布的随机变量。 AND / OR图用于对任务之间的优先级关系进行建模。提出了将L形算法和蒙特卡洛采样技术相结合的随机规划模型和基于精确的求解方法。通过有效地解决文献中的一组拆卸问题实例，表明了所提出的模型和求解方法的相关性和适用性。

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