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A simplified teaching-learning-based optimization algorithm for disassembly sequence planning
KTH, School of Industrial Engineering and Management (ITM), Production Engineering. (Sustainable Manufacturing)ORCID iD: 0000-0001-8679-8049
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2013 (English)In: Proceedings - 2013 IEEE 10th International Conference on e-Business Engineering, ICEBE 2013, IEEE , 2013, 393-398 p.Conference paper (Refereed)
Abstract [en]

Disassembly plays an important role in recovery and remanufacturing of Waste Electrical and Electronic Equipment (WEEE). A novel Simplified Teaching-Learning-Based Optimization (STLBO) algorithm is proposed for optimization of Disassembly Sequence Planning (DSP). The proposed STLBO is on the basis of a teaching-learning-based optimization method which is a new population based meta-heuristic algorithms. In the proposed STLBO algorithm, three operators are designed namely Feasible Solution Generator (FSG), Teacher Phase Operator (TPO) and Learner Phase Operator (LPO). The proposed algorithm is successfully tested against previous best known solutions for a set of public benchmarks.

Place, publisher, year, edition, pages
IEEE , 2013. 393-398 p.
Keyword [en]
Disassembly, Disassembly sequence planning, Meta-heuristic algorithms, Simplified teaching-learning-based optimization, Waste electrical and electronic equipment
National Category
Mechanical Engineering
URN: urn:nbn:se:kth:diva-139494DOI: 10.1109/ICEBE.2013.60ISI: 000330341500060ScopusID: 2-s2.0-84893240740ISBN: 978-076955111-1OAI: diva2:687128
2013 IEEE 10th International Conference on e-Business Engineering, ICEBE 2013; Coventry; United Kingdom; 11 September 2013 through 13 September 2013
XPRES - Initiative for excellence in production research

QC 20140219

Available from: 2014-01-13 Created: 2014-01-13 Last updated: 2014-03-20Bibliographically approved

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ReferencesLink to record
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