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Service-oriented disassembly sequence planning for electrical and electronic equipment waste
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-8679-8049
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2016 (English)In: Electronic Commerce Research and Applications, ISSN 1567-4223, E-ISSN 1873-7846, Vol. 20, p. 59-68Article in journal (Refereed) Published
Abstract [en]

Disassembly sequence planning plays an important role in the end-of-life treatment of electrical and electronic equipment waste (e-waste). Effective planning methods can improve recovery rates and reduce environmental impacts of e-waste. In previous work, neither mathematical models nor optimization algorithms offered a satisfactory solution for this multi-objective disassembly problem. We present a multi-objective model for the problem and a modified teaching-learning-based optimization (MTLBO) algorithm to find the Pareto-optimal frontier. We use numerical simulations to demonstrate and verify the effectiveness and robustness of the algorithm. To do effective disassembly planning, all the participants in the lifecycle of e-waste should work together. Disassembly and recovery of e-waste involve complex processes across the lifecycle. Information support services, disassembly modeling and optimization services must be integrated using computer networks. We also propose a service-oriented framework to support business integration for the participants in the e-waste lifecycle. Effective and optimized disassembly planning can be achieved by invoking the related distributed services. The proposed framework is a novel e-business application for the end-of-life treatment of e-waste. © 2016 Elsevier B.V.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 20, p. 59-68
Keywords [en]
Disassembly sequence planning, E-business, Environmental issues, Math programming, Multi-objective optimization, Services, Sustainability, Complex networks, Electronic commerce, Environmental impact, Life cycle, Multiobjective optimization, Optimization, Oscillators (electronic), Pareto principle, Sustainable development, Waste treatment, Wastes, eBusiness, Electronic equipment
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-202273DOI: 10.1016/j.elerap.2016.09.007Scopus ID: 2-s2.0-84991643994OAI: oai:DiVA.org:kth-202273DiVA, id: diva2:1075787
Note

Funding text: We would like to thank the editors, SI guest editors and reviewers, especially Prof. Robert J. Kauffman and Prof. Kuo-Ming Chao, for their valuable comments that help us to improve the quality of the paper. This research work is supported by the National Natural Science Foundation of China under Grant No. 51421062, the National Basic Research Program of China (973 Program) under Grant No. 2014CB046705, the Special Funds for the Scientific and Technological Cooperation with EU from the Ministry of Science and Technology of China under Grant No. 1208, the Independent Innovation Research Fund of Huazhong University of Science and Technology under Grant No. 2014XJGH010. QC 20170221

Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2017-11-29Bibliographically approved

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Wang, Lihui

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