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Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2015, Vol. 16 Issue (9): 724-736    DOI: 10.1631/jzus.A1500155
Special Feature from the 5th Advanced Design Concepts and Practice Workshop (ADCP 2015) (Guest Editor: Yu-sheng LIU)     
A novel approach for parallel disassembly design based on a hybrid fuzzy-time model
Zhi-feng Zhang, Yi-xiong Feng, Jian-rong Tan, Wei-qiang Jia, Guo-dong Yi
The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou 310027, China
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Abstract  This paper investigates the problem of parallel disassembly with the consideration of fuzziness. A novel approach is proposed based on optimized dispatching for parallel disassembly in which disassembly time is characterized by the fuzzy sets due to inevitable uncertainties. The proposed approach consists of three parts: in the first part, the fuzzy time-based dispatching disassembly process model is established; in the second part, the boundary conditions of the fuzzy time and the disassembly are derived, and the components’ disassembly order and available stations are encoded together to find the optimal disassembly path; in the final part, the approach is optimized by using genetic algorithm (GA) to minimize the total time and cost, and the solution is compared with other algorithms. Finally, a case study for a hydraulic press disassembly is presented to verify the effectiveness and feasibility of the proposed approach.

Key wordsDisassembly sequence planning      Dispatching disassembly process      Fuzzy time      Genetic algorithm (GA)     
Received: 29 May 2015      Published: 03 September 2015
CLC:  TB491  
Cite this article:

Zhi-feng Zhang, Yi-xiong Feng, Jian-rong Tan, Wei-qiang Jia, Guo-dong Yi. A novel approach for parallel disassembly design based on a hybrid fuzzy-time model. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2015, 16(9): 724-736.

URL:

http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A1500155     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2015/V16/I9/724

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