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IEEE North Jersey Section IEEE SMC Chapter Seminar Heuristics for external cluster tool scheduling in flexible flow shops
February 1, 2022 @ 9:30 am - 10:49 am
IEEE North Jersey Section IEEE SMC Chapter Seminar
Heuristics for external cluster tool scheduling in flexible flow shops
Dr. Fajun Yang
Humboldt Research Fellow
Department of Mathematics and Computer Science, Hagen University, Germany
Place: https://njit.webex.com/meet/zhou, NJIT, Newark, NJ
Time: 9:30-10:30am, Tue., Feb. 1, 2022
Host: MengChu Zhou, Ph.D. & Dist. Professor
Abstract: In semiconductor manufacturing, due to product customization, a cluster tool is frequently required to switch from processing one type of lots to another, leading to ubiquitous lot switching periods, during which consecutive lots are processed concurrently. As a different lot mix often results in different lot completion times, it is challenging to obtain an optimal processing sequence of lots to minimize the makespan for a flexible flow shop with two stages where each stage consists of identical cluster tools. In this paper, an efficient backward earliest-starting strategy is proposed based on which procedures are designed for calculating the completion time of each lot taking into account the different lot mixes. A biased random key genetic algorithm (BRKGA) is proposed to compute high-quality schedules using these completion times.
Fajun Yang received the the Ph. D. degree in Mechanical Engineering from Guangdong University of Technology, Guangzhou, China, in 2016. From 2015-2016, he was a Visiting Ph. D. Student with New Jersey Institute of Technology (NJIT), Newark, NJ, USA. From 2017-2019, he was a Research Fellow with Nanyang Technological University, Singapore. He is currently a Postdoctoral Researcher of Humboldt Research Fellowship, Germany. He has over 30 refereed papers and patents and received the “2021 Hsue-shen Tsien Best Paper Award” of IEEE/CAA Journal of Automatic Sinica and the “Overseas High-level Talents ‘Young Experts Program’ of Shanghai in 2021. His interests are Production and Operation Management, Supply Chain and Logistics Management, Modeling and Scheduling on the Intelligent Manufacturing Systems, Multi-objective Optimization, Big Data and Machine Learning.
Speaker(s): Dr. Fajun Yang,
323 MLK Blvd., ECE-NJIT, Newark, New Jersey, United States, 07102-1982