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A Heuristic for Disassembly Planning in Remanufacturing System

机译:再制造系统中拆卸规划的启发式规划

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This study aims to improve the efficiency of disassembly planning in remanufacturing environment. Even though disassembly processes are considered as the reverse of the corresponding assembly processes, under some technological and management constraints the feasible and efficient disassembly planning can be achieved by only well-designed algorithms. In this paper, we propose a heuristic for disassembly planning with the existence of disassembled part/subassembly demands. A mathematical model is formulated for solving this problem to determine the sequence and quantity of disassembly operations to minimize the disassembly costs under sequence-dependent setup and capacity constraints. The disassembly costs consist of the setup cost, part inventory holding cost, disassembly processing cost, and purchasing cost that resulted from unsatisfied demand. A simple but efficient heuristic algorithm is proposed to improve the quality of solution and computational efficiency. The main idea of heuristic is to divide the planning horizon into the smaller planning windows and improve the computational efficiency without much loss of solution quality. Performances of the heuristic are investigated through the computational experiments.
机译:本研究旨在提高再制造环境中拆卸规划的效率。尽管拆卸过程被认为是相应的组装过程的反向,但在一些技术和管理限制下,只有精心设计的算法可以实现可行和有效的拆卸规划。在本文中,我们提出了一种启发式规划,拆卸拆卸部分/子组件要求。配制数学模型以解决该问题以确定拆卸操作的序列和数量,以最小化依赖于序列的设置和容量约束下的拆卸成本。拆卸成本包括设置成本,部分库存持有成本,拆卸处理成本和购买成本,从未满足的需求导致。提出了一种简单但高效的启发式算法,提高了解决方案和计算效率的质量。启发式的主要思想是将规划地平线划分为较小的规划窗口,提高计算效率而不会损失解决方案质量。通过计算实验研究了启发式的性能。

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