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SMC Chapter Seminar on Scheduling problems and their solution algorithms in a rolling process of steel production systems

#Steel #production #systems

IEEE North Jersey Section-SMC Chapter Seminar

Scheduling problems and their solution algorithms in a rolling process of steel production systems

Speaker: Ziyan Zhao, Ph.D. Candidate

Department of Information Science and Engineering

Northeastern University, Shenyang, China

Place: https://njit.webex.com/join/zhou

Time: 9pm, Thur. night, Oct. 8, 2020

Abstract: Production scheduling is a crucial task in modern steel production systems. The scheduling problems of a wire rod and bar rolling process is challenging in many steel plants, which has a direct impact on their production efficiency and profit. In those scheduling problems, batch scheduling, sequence-dependent setup time, release time, and due time constraints must be handled. In a single-objective scheduling problem, we aim to minimize the number of tardy jobs. To obtain its optimal solutions, a two-stage decomposition method is proposed. To solve industrial-size problem instances, an effective iterated greedy algorithm is presented. In a bi-objective scheduling problem, we aim to minimize both the number of tardy jobs and total setup time. To obtain its Pareto solutions, a memetic algorithm is designed, which integrates a nondominated sorting genetic algorithm II (NSGA-II) and local search methods. The presented algorithms for both single-objective and bi-objective scheduling problems are compared with competitive peers to show their high performance and thus have great potential to be used in industrial applications.

Biography: Ziyan Zhao received his B.S. and M.S. degrees from Northeastern University, Shenyang, China, in 2015 and 2017, respectively, where he is currently pursuing the Ph.D. degree with the Department of Information Science and Engineering. Since Oct. 2018, he has been working as a Joint Ph.D. Student with the Department of Electrical and Computer Engineering, New Jersey Institute of Technology. His research focuses on operations research, production planning and scheduling, and intelligent optimization algorithm.