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首页> 外文期刊>Journal of Advanced Mechanical Design, Systems, and Manufacturing >Analysis of cost effectiveness by material type for CO2 saving and recycling rates in disassembly parts selection using goal programming
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Analysis of cost effectiveness by material type for CO2 saving and recycling rates in disassembly parts selection using goal programming

机译:使用目标编程对拆卸零件选择中的CO 2 节省和回收率的材料类型进行成本效益分析

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摘要

To address issues such as global warming and material starvation, the manufacturing should be required to pay much attention to these environmental issues. Recycling is one of the effective methods to overcome both global warming and material starvation as it reduces CO_(2) emissions, one of the causes of global warming, at material production stage by means of material circulation. End-of-life (EOL) products require a disassembly phase for recycling in order to separate the parts into material types, which determine the choice of operations needed for recycling. Then, manual disassembly operations are carried out because of various complex disassembly tasks, thereby leading to higher recycling costs. In order to make recycling environmentally friendly and economical, selection of disassembly parts is conducted to minimize the recycling cost and to maximize the CO_(2) saving rate, which is defined as the rate at which CO_(2) volumes can be saved by material recycling instead of producing virgin materials. Thus, disassembly parts selection is considered as a multi-criteria decision making problem. Goal programming is well known as one of the effective methods to overcome the multi-criteria decision making problem. This requires setting of tolerable and sufficient targets for each goal. The material type of the selected parts is important for recycling process. Therefore, this study proposes a bi-objective environmentally friendly and economical disassembly parts selection for minimizing the recycling cost and maximizing the CO_(2) saving/recycling rates by goal programming, and analyzes the results in terms of weights and cost for each material type. First, a design procedure is explored and formulated using goal programming. Next, disassembly parts selection is carried out for maximizing CO_(2) saving/recycling rates and minimizing recycling cost. Finally, the results are analyzed to pursue the cost effectiveness for the recycled materials for each part in order to identify bottlenecks and propose improvement plans.
机译:为了解决诸如全球变暖和材料匮乏之类的问题,应该要求制造商对这些环境问题给予足够的重视。再循环是克服全球变暖和材料匮乏的有效方法之一,因为它可以在材料生产阶段通过材料循环减少CO_(2)排放,这是导致全球变暖的原因之一。报废(EOL)产品需要拆卸阶段才能回收利用,以便将零件分为不同的材料类型,这决定了回收所需的操作选择。然后,由于各种复杂的拆卸任务而进行手动拆卸操作,从而导致更高的回收成本。为了使回收利用对环境友好且经济,进行拆卸零件的选择是为了最大程度地减少回收成本并最大化CO_(2)节省率,CO_(2)节省率定义为材料可以节省CO_(2)量的比率回收而不是生产原始材料。因此,拆卸零件的选择被认为是一个多准则决策问题。目标编程是克服多准则决策问题的有效方法之一。这需要为每个目标设定可容忍且足够的目标。所选零件的材料类型对于回收过程很重要。因此,本研究提出了一种双目标的环保和经济的可拆卸零件选择,以通过目标编程使回收成本最小化并最大化CO_(2)的节省/回收率,并针对每种材料的重量和成本分析结果。首先,使用目标编程来探索和制定设计程序。接下来,进行拆卸零件选择,以最大程度地减少CO_(2)的节省/回收率并最大程度地减少回收成本。最后,分析结果以追求每个零件的回收材料的成本效益,从而确定瓶颈并提出改进计划。

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