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An exact solution method for multi-manned disassembly line design with AND/OR precedence relations

机译:具有和/或优先关系的多载拆卸线设计的精确解决方法

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Specific government regulations for waste products and increasing environmental awareness are concerns for companies. Disassembly operations have become essential tools for green manufacturing and for reducing ecological hazards from waste electrical and electronic equipment. An effective and efficient line design may be vital to encourage companies to establish a disassembly center. The line-balancing problem is a critical issue in a disassembly center. Large products may allow simultaneous disassembly of parts using more than one operator at a workstation. However, multi-manned disassembly line balancing creates a more complicated problem. Thus, an efficient solution technique based on a constraint programming (CP) approach is proposed for multi-manned disassembly line balancing with AND/OR precedence relations to minimize cycle time as a primary objective and the total number of workers as a secondary objective. A mixed-integer linear programming (MILP) model based on previous studies was proposed to define the problem. A CP approach was developed for the first time to solve this problem. A genetic algorithm was used to show the relative performance of the CP method for large problems. The proposed CP approach demonstrates superior performance.
机译:对垃圾产品的具体政府法规和环境意识的提高是公司的担忧。拆卸操作已成为绿色制造的基本工具,用于减少废物电气设备的生态危害。有效高效的线路设计可能对鼓励公司建立拆卸中心至关重要。线路平衡问题是拆卸中心中的一个关键问题。大型产品可以在工作站上使用多个操作员同时拆卸零件。然而,多载dysembly线平衡创造了一个更复杂的问题。因此,提出了一种基于约束编程(CP)方法的有效解决方案技术,用于与/或优先关系的多载拆卸线平衡,以最小化作为主要目标的循环时间和作为次要目标的总数。提出了一种基于先前研究的混合整数线性编程(MILP)模型来定义问题。第一次开发了CP方法来解决这个问题。遗传算法用于显示CP方法对于大问题的相对性能。所提出的CP方法展示了卓越的性能。

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