School of Transportation, Jilin University, Changchun, Jilin, People's Republic of China.
College of New Energy and Environment, Jilin University, Changchun, Jilin, People's Republic of China.
J Air Waste Manag Assoc. 2021 May;71(5):607-619. doi: 10.1080/10962247.2020.1871444. Epub 2021 Feb 8.
The disassembly of used products is a critical procedure in remanufacturing, and different disassembly strategies are often obtained from different perspectives. To describe the disassembly process more accurately, the uncertainty of the information in the disassembly process should be considered. Therefore, random variables are introduced for disassembly time, cost, and effort. Based on the extended stochastic Petri net modeling method and stochastic programming theory, a stochastic optimization algorithm combined with artificial intelligence technology and a multiobjective genetic algorithm are designed, and a multiobjective optimization model for the disassembly sequence of used car parts under uncertain conditions is successfully constructed. This model considers the viewpoint of the decision maker. Moreover, the Monte Carlo method is applied to solve the multiobjective optimization model, and the validity and practicability of the model are verified by an example of an automotive transmission.: With the rapid development of the economy and the shortening of the product life cycle, the rate of product renewal is getting faster and faster, which also leads to the production of a large number of waste products. According to the forecast of the relevant departments, it is estimated that, in 2020, there will be about 35 million used televisions, 15 million used refrigerators, 13 million used washing machines, 12 million used air conditioners, 57 million used computers, and 8.3 million scrapped cars. Waste products contain a lot of renewable resources. If they cannot be effectively recycled, it will be a great waste of resources, and unreasonable disposal of waste products may have a negative impact on the environment. Therefore, due to environmental pressure and economic drive, product recycling and remanufacturing activities have caused widespread concern in society. Disassembly is defined as the operation or activity of disassembling an assembly such as a product, assembly, or component, and is the result of multiple removal operations of the product. It is a prerequisite for the efficient recycling of products and the first link in remanufacturing, that is, disassembly as a new production activity, which can provide raw materials for the smooth progress of the remanufacturing production plan, namely, old rough or used parts. Efficient dismantling not only saves natural resources and energy, but also effectively reduces environmental pollution. It is also an important guarantee for promoting the healthy development of the circular economy and achieving sustainable industrial development. The length of time required for the dismantling process, the level of costs, and the amount of profits obtained will directly affect the economic benefits of the recycling of end-of-life products. Therefore, the evaluation and optimization of the dismantling process of waste products have become one of the current hot issues. The research on the dismantling of waste products is conducive to speeding up the recycling process of waste, to a greater extent, the rapid and full recovery of resources, and to a certain extent, it will provide value basis and theoretical significance for subsequent research.
产品的拆卸是再制造过程中的一个关键工序,不同的拆卸策略往往是从不同的角度得到的。为了更准确地描述拆卸过程,应考虑拆卸过程中信息的不确定性。因此,引入了拆卸时间、成本和努力的随机变量。基于扩展随机 Petri 网建模方法和随机规划理论,设计了一种结合人工智能技术和多目标遗传算法的随机优化算法,并成功构建了不确定条件下汽车零件拆卸序列的多目标优化模型。该模型考虑了决策者的观点。此外,应用蒙特卡罗方法求解多目标优化模型,并通过汽车变速器的实例验证了模型的有效性和实用性。随着经济的快速发展和产品生命周期的缩短,产品更新换代的速度越来越快,这也导致了大量废品的产生。根据有关部门的预测,预计到 2020 年,将有大约 3500 万台废旧电视机、1500 万台废旧冰箱、1300 万台废旧洗衣机、1200 万台废旧空调、5700 万台废旧电脑和 830 万辆报废汽车。废品中含有大量可再生资源,如果不能有效回收,将是对资源的极大浪费,而不合理的废品处理方式可能会对环境造成负面影响。因此,由于环境压力和经济驱动,产品回收和再制造活动引起了社会的广泛关注。拆卸被定义为拆卸产品、装配或组件等装配的操作或活动,是产品的多次拆卸操作的结果。它是产品高效回收的前提,也是再制造的第一个环节,即拆卸作为一项新的生产活动,可以为再制造生产计划的顺利进行提供原材料,即旧的粗加工或使用过的零件。高效拆卸不仅可以节约自然资源和能源,还可以有效减少环境污染。它也是促进循环经济健康发展和实现可持续工业发展的重要保障。拆卸过程所需的时间、成本水平和获得的利润直接影响到报废产品回收的经济效益。因此,报废产品拆卸过程的评估和优化已成为当前热点问题之一。对报废产品拆卸的研究有利于加快废物回收过程,在更大程度上快速、充分地回收资源,在一定程度上为后续研究提供价值基础和理论意义。