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Disassembly Line Balancing Optimization Method for High Efficiency and Low Carbon Emission

机译:用于高效率和低碳排放的拆卸线平衡优化方法

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摘要

Disassembly is the first step in product recycling and remanufacturing. When disassembling large quantities of products, the disassembly efficiency is crucial for enterprises. Thus, disassembly line is the best choice for automated disassembly of disposal products. Disassembling products, especially complex structure of products, consume a lot of resources and energy and produce large amounts of carbon emissions. So, it is essential for disassembly line to work efficiently and environmentally. In this paper, the hybrid graph is proposed to express the direct and indirect constraint relationship among components. Then, the mathematical model of carbon emission is built by quantifying the carbon emissions in the process of product disassembly. Taking into account the basic disassembly time, direction change time and tool change time, the mathematical model of high efficiency is presented for optimizing disassembly time. Additionally, based on the traditional multi-objective disassembly line balancing problem (DLBP), a novel multi-objective optimization model of the DLBP with shortest disassembly time and minimum carbon emissions is proposed for improving disassembly efficiency and reducing the carbon emissions in the process of disassembly. Furthermore, genetic algorithm is presented for optimizing the disassembly sequence. Finally, an automobile engine is given as an example to confirm the practicality of the proposed model in solving the DLBP.
机译:拆卸是产品再循环和再制造的第一步。当拆卸大量产品时,拆卸效率对于企业至关重要。因此,拆卸线是处理产品自动拆卸的最佳选择。拆卸产品,尤其是复杂的产品结构,消耗大量资源和能量,并产生大量的碳排放量。因此,对于拆卸线来说是必需和环境的拆卸线。在本文中,提出了混合图来表达组件之间的直接和间接约束关系。然后,通过量化产品拆卸过程中的碳排放来构建碳排放的数学模型。考虑到基本拆卸时间,方向变化时间和换刀时间,提出了高效率的数学模型以优化拆卸时间。另外,基于传统的多目标拆卸线平衡问题(DLBP),提出了一种具有最短拆卸时间和最小碳排放的DLBP的新型多目标优化模型,以提高拆卸效率并降低过程中的碳排放拆卸。此外,介绍了用于优化拆卸序列的遗传算法。最后,给出了汽车发动机作为示例以确认所提出的模型在解决DLBP方面的实用性。

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