A novel approach for parallel disassembly design based on a hybrid fuzzy-time model

Journal of Zhejiang University-SCIENCE A, Sep 2015

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.

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A novel approach for parallel disassembly design based on a hybrid fuzzy-time model

J Zhejiang Univ-Sci A (Appl Phys & Eng) 1673-565X A novel approach for parallel disassembly design based on a hybrid fuzzy-time model* Zhi-feng ZHANG 0 Yi-xiong FENG 0 Jian-rong TAN 0 Wei-qiang JIA 0 Guo-dong YI 0 0 (The State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University , Hangzhou 310027 , China) 1 Project supported by the National Natural Science Foundation of China (No. 51322506), the Zhejiang Provincial Natural Science Foundation of China (No. LR14E050003), the National High-Tech R&D Program (863 Program) of China (No. 2013AA041304), the National Key Technology Support Program (No. 2013BAF02B10), the Fundamental Research Funds for the Central Universities, and the Innovation Foundation of the State Key Laboratory of Fluid Power Transmission and Control , China ORCID: Zhi-feng ZHANG 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. Disassembly sequence planning; Dispatching disassembly process; Fuzzy time; Genetic algorithm (GA) doi; 10; 1631/jzus; A1500155 Document code; A CLC number; TB491 1 Introduction Environmental problem has been a serious challenge to our society, and many measures have been promoted to ease this issue, such as public opinions, industrial standards, and environmental laws (Tian et al., 2014) . Disassembly, an important step of product recycle, involves methodical extraction that departs reusable components and valuable materials from end-of-life products via certain operations. There exist many research studies on disassembly. Most researchers focus on three relative issues: disassembly modeling, disassembly path planning, and disassembly evaluation. Disassembly modeling is the logical and informational basis for disassembly that contains physics data, assembly data, and constraint data. Disassembly path planning involves a sequence of components removed from product ontology. Disassembly evaluation is to assess the disassembly scheme during the design to ensure disassembility and efficiency of the products. Over the decades, the issue on disassembly path planning has attracted the attention of many researchers because it relies not only greatly on environmental factors but also on the efficient use of natural resources. A number of researchers have proposed disassembly sequencing approaches. Kang et al. (2001) proposed an approach based on an integer programming formulation and considered sequencedependent operation times to obtain the optimal disassembly sequence. Li et al. (2005) presented an object-oriented disassembly sequence for maintenance based on the disassembly constraint graph and the genetic algorithm (GA). González and Adenso-Díaz (2006) adopted the scatter search metaheuristic to deal with the disassembly cost of complex products, when only one component can be released at each time. Lambert (2006) modified the two-commodity network flow approach to address complex disassembly problems and to find out the exact solutions, particularly, useful for evaluating heuristic and metaheuristic approaches. Aguinaga et al. (2008) analyzed the differences between the disassembly path-planning problem and the general one, and modified the rapidly-growing random tree-based (RRT) algorithm to address these differences. Tang (2009) introduced a fuzzy Petri net model to explicitly represent the dynamics inherent in disassembly. Li et al. (2013) proposed a modular disassembly method to solve the inflexibility in a single modular of complex mechatronics products. Aydemir-Karadag and Turkbey (2013) dealt with a stochastic disassembly line balancing problem and proposed a new GA for multi-objective optimization. The objectives related to line balance and design costs were optimized by using an AND/OR graph. Rickli and Camelio (2013) proposed a GA based on disassembly operation costs, recovery reprocessing costs, revenues, and environmental impacts to optimize partial disassembly sequences. Tian et al. (2013) presented some chance constrained programming models for disassembly cost from the perspective of stochastic planning. Moreover, two hybrid intelligent al (...truncated)


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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, 2015, pp. 724-736, Volume 16, Issue 9, DOI: 10.1631/jzus.A1500155