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Selective disassembly planning for waste electrical and electronic equipment with case studies on liquid crystal displays

机译：废电子电气设备的选择性拆卸计划，以液晶显示器为例

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摘要

Waste Electrical and Electronic Equipments (WEEEs) are one of the most significant waste streams in modern societies. In the past decade, disassembly of WEEE to support remanufacturing and recycling has been growingly adopted by industries. With the increasing customisation and diversity of Electrical and Electronic Equipment (EEE) and more complex assembly processes, full disassembly of WEEE is rarely an ideal solution due to high disassembly cost. Selective disassembly, which prioritises operations for partial disassembly according to the legislative and economic considerations of specific stakeholders, is becoming an important but still a challenging research topic in recent years. In order to address the issue effectively, in this paper, a Particle Swarm Optimisation (PSO)-based selective disassembly planning method embedded with customisable decision making models and a novel generic constraint handling algorithm has been developed. With multi-criteria and adaptive decision making models, the developed method is flexible to handle WEEE to meet the various requirements of stakeholders. Based on the generic constraint handling and intelligent optimisation algorithms, the developed research is capable to process complex constraints and achieve optimised selective disassembly plans. Industrial cases on Liquid Crystal Display (LCD) televisions have been used to verify and demonstrate the effectiveness and robustness of the research in different application scenarios.
机译：废弃电子电气设备（WEEE）是现代社会中最重要的废物流之一。在过去的十年中，为支持再制造和回收利用而拆卸WEEE已被各行业所采用。随着电气和电子设备（EEE）的定制化和多样性的增加以及更复杂的组装过程，由于高昂的拆卸成本，完全拆卸WEEE几乎不是理想的解决方案。选择性拆卸，根据特定利益相关者的立法和经济考虑，优先进行部分拆卸操作，这已成为近年来重要但仍具有挑战性的研究课题。为了有效解决该问题，本文开发了一种基于粒子群优化（PSO）的，可定制决策模型嵌入的选择性拆卸计划方法和一种新颖的通用约束处理算法。利用多准则和自适应决策模型，所开发的方法可以灵活地处理WEEE，以满足利益相关者的各种要求。基于通用约束处理和智能优化算法，开发的研究能够处理复杂的约束并实现优化的选择性拆卸计划。液晶显示器（LCD）电视上的工业案例已被用来验证和证明该研究在不同应用场景中的有效性和鲁棒性。

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