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A Systematic Selective Disassembly Approach for Waste Electrical and Electronic Equipment (WEEE)

  • G. Q. Jin
  • W. D. LiEmail author
  • S. Wang
  • S. M. Gao
Chapter

Abstract

Waste Electrical and Electronic Equipment (WEEE) is one of the major waste streams in terms of quantity and toxicity, and a critical step in WEEE end-of-life (EOL) processing is through disassembly. Compared with full disassembly, which is a sub-optimal solution due to its high operational cost, selective disassembly is more economic and practical as only selected parts with recycling potential are considered. In this paper, a systematic selective disassembly approach for handling WEEE with a maximum disassembly profit in accordance with the WEEE and Restriction of Hazardous Substances (ROHS) Directives has been developed. Firstly, a space interference matrix is generated based on the interference relationship between individual components in the 3D CAD model of WEEE. A matrix analysis algorithm is then applied to obtain all the feasible disassembly sequences. Secondly, an evaluation and decision-making method is developed to find out an optimal selective disassembly sequence from the obtained feasible disassembly sequences. The evaluation takes into account the disassembly profit and requirements of the WEEE and ROHS Directives, which regulate on recycling rates of different types of products and removal requirements of (i) hazardous, (ii) heavy, and (iii) high-value components. Thus, an optimal solution is a selective disassembly sequence that can achieve the maximum disassembly profit, while complying with the WEEE and ROHS restrictions based on a brute-force search method. Finally, an industrial case on Changhong Liquid Crystal Display Televisions (LCD-TVs) of the type LC24F4 is used to demonstrate the effectiveness of the developed approach.

Keywords

Selective disassembly The WEEE directive The ROHS directive LCD-TVs 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Robotics and Microsystems Center, School of Mechanical and Electric EngineeringSoochow UniversitySuzhouPeople’s Republic of China
  2. 2.Faculty of Engineering, Environment and ComputingCoventry UniversityCoventryUK
  3. 3.State Key Lab of CAD&CGZhejiang UniversityHangzhouPeople’s Republic of China

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