A Simplified Teaching-Learning-Based Optimization Algorithm for Disassembly Sequence Planning

Author

Kai Xia ; Liang Gao ; Lihui Wang ; Weidong Li ; Kuo-Ming Chao

Author_Institution

State Key Lab. of Digital Manuf. Equip. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China

fYear

2013

fDate

11-13 Sept. 2013

Firstpage

393

Lastpage

398

Abstract

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.

Keywords

WEEE Directive; assembly planning; design for disassembly; industrial waste; optimisation; recycling; teaching; DSP; FSG; LPO; STLBO algorithm; TPO; WEEE; disassembly sequence planning; feasible solution generator; learner phase operator; population based meta-heuristic algorithms; recovery; remanufacturing; simplified teaching-learning-based optimization algorithm; teacher phase operator; waste electrical and electronic equipment; Algorithm design and analysis; Digital signal processing; Electronic waste; Joints; Optimization; Sociology; Statistics; disassembly; disassembly sequence planning; meta-heuristic algorithms; simplified teachinglearning-based optimization; waste electrical and electronic equipment;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Business Engineering (ICEBE), 2013 IEEE 10th International Conference on

Conference_Location

Coventry

Type

conf

DOI

10.1109/ICEBE.2013.60

Filename

6686293