IEEE North Jersey Section, SMCS Chapter Seminar

Stochastic Human-Robot Collaborative Disassembly Sequencing and Disassembly Line Balancing Problem via Multi-objective Shuffled Frog Leading Algorithm

Dr. Xiwang Guo, Associate Professor

College of Computer and Communication Engineering

Liaoning Shihua University, Fushun, China 

Location: https://njit.webex.com/meet/zhou

Time: 9:30-10:30am, US Eastern Time, Tue., February 22, 2022

Abstract—Product disassembly techniques can help recycle end-of-life products and reduce their negative impact on environmental pollution and minimize resource waste. Disassembly line balancing problems have attracted much attention from researchers and industrial practitioners. Most of the existing studies, however, consider only human disassembly or robot disassembly alone. This work considers human-robot collaboration. More specifically, we propose a stochastic multi-objective human-robot collaborative disassembly-sequencing and disassembly-line-balancing model, where an AND/OR graph model is adopted to describe a disassembly process. The objectives are to maximize the total profit and minimize energy consumption. A Pareto improved multi-objective shuffled frog leading algorithm with a stochastic simulation strategy is proposed to solve the model. Besides, an elite strategy is introduced in the global search to enhance the search capability. Through experiments on disassembling products of different sizes, the feasibility and effectiveness of this algorithm are proved compared with some most popular state-of-the-art methods, including the nondominated sorting genetic algorithm II, multi-objective evolutionary algorithm based on decomposition, harmony search, and artificial bee colony algorithm. 

Bio: 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 an associate professor of the College of Computer and Communication Engineering at Liaoning Petrochemical University. From 2016 to 2018, he was a visiting scholar of the Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA. He has authored 90+ technical papers in journals and conference proceedings, including IEEE Transactions on Cybernetics, IEEE Transactions on System, Man and Cybernetics: Systems, IEEE Transactions on Intelligent Transportation Systems, and IEEE/CAA Journal of Automatica Sinica. His current research interests include Petri nets, remanufacturing, recycling and reuse of automotive, and intelligent optimization algorithm.