Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 59-68 |
| Number of pages | 10 |
| Journal | Electronic Commerce Research and Applications |
| Volume | 20 |
| Early online date | 3 Oct 2016 |
| DOIs | |
| Publication status | Published - Nov 2016 |
Bibliographical note
This paper was deposited in Pure on 18 Oct 2016, 3 months within the acceptance date.Publisher statement: NOTICE: this is the author’s version of a work that was accepted for publication in Electronic Commerce Research and Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Electronic Commerce Research and Applications, [20 (2016)] DOI: 10.1016/j.elerap.2016.09.007
© 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Keywords
- Disassembly sequence planning
- E-business
- Environmental issues
- Math programming
- Multi-objective optimization
- Services
- Sustainability