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IEEE North Jersey Section, SMCS Chapter Seminar
June 20 @ 2:00 pm - 3:00 pm
Optimization of Sequence-dependent Selective Disassembly Subject to Multi-resource Constraints
Dr. Xiwang Guo
Lecturer, College of Computer and Communication Engineering
Liaoning Shihua University, China and
Visiting Scholar, Department of Electrical and Computer Engineering
New Jersey Institute of Technology, USA
Place: ECEC 202, NJIT
Time: 2pm, Tue., June 20
Abstract: Industrial products’ reuse, recovery and recycling are very important because of their environmental and economic benefits. Effective product disassembly planning methods can improve their recovery efficiency and reduce their bad environmental impact. However, the existing approaches pay little attention to sequence-dependent disassembly with resource constraints such as limited disassembly operators and tools, which makes the current planning methods ineffective in practice. This paper considers a multiobjective resource-constrained and sequence-dependent disassembly optimization problem with disassembly precedence constraints. Energy consumption is adopted to evaluate the disassembly efficiency. Its use with traditional optimization criterion leads to a novel multiobjective optimization model such that energy consumption and disassembly time are minimized while disassembly profit is maximized. Since the problem complexity increases with the number of components in a product, a lexicographic multiobjective scatter search method is proposed to solve the proposed multiobjective optimization problem. Its effectiveness is verified by comparing the results of linear weight scatter search and genetic algorithms. The results show that it is able to provide a better solution in a short execution time and fulfills the precedence requirement in a product structure and resource constraints.
Biography: Xiwang Guo received his B.S. degree in Computer Science and Technology from Shenyang Institute of Engineering, Shenyang, China, in 2006, M.S. degree in Aeronautics and Astronautics Manufacturing Engineering. from Shenyang Aerospace University, Shenyang, China, in 2009, Ph. D. degree in System Engineering from Northeastern University, Shenyang, China, in 2015. He is currently a lecturer of the College of Computer and Communication Engineering at Liaoning Shihua University. He is presently a visiting scholar of Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ. His research focuses on remanufacturing, recycling and reuse of automotive, intelligent optimization algorithm. He has published over 10 journal and conference proceedings papers in the above research areas, including IEEE Transactions on Cybernetics.
Please contact: Mengchu Zhou, Ph.D. & Dist. Professor and Chair, IEEE SMCS Chapter. Zhou@njit.edu
161 Warren Street
Newark, New Jersey