报告题目 | Scheduling, Modeling and Design of 3D AS/RS Systems | ||
报告人（单位） | Prof. Mingzhou Jin(University of Tennessee, Knoxville) | ||
点评人（单位） | 杨东辉（东南大学） | 点评人（单位） | |
会议时间 | 2023年6月13日9:00 | ||
会议地点 | 腾讯会议开始时间：2023/06/13 09:00 (GMT+08:00) 点击链接入会，或添加至会议列表： https://meeting.tencent.com/dm/D0DX6z7u1BtW #腾讯会议：498-931-863；会议密码：0613 | ||
报告人简介 | |||
Dr. Mingzhou Jin is the John D. Tickle professor and the Department Head of the Department of Industrial and Systems Engineering at the University of Tennessee, Knoxville (UTK). He also directs both the Institute for a Secure and Sustainable Environment and the FERSC Center, a $10M University Transportation Center funded by the US Department of Transportation (DOT) focusing on freight optimization and supply chain resilience. His research interest includes sustainability, climate change, optimization, transportation and logistics, supply chain, additive and smart manufacturing, and energy efficiency. His research has been well sponsored with more than $19 million in grants and contracts from a board spectrum of federal, local government agencies and corporations including US National Science Foundation, US Department of Energy, US DOT, US Department of Homeland Security, three state Departments of Transportation, Tennessee Valley Authority, American Trucking Associations, America Makes, FedEx, Boeing, Lockheed Martin, Nissan, Schneider Electric, CyManII, Material Handling Industry, etc. He has received multiple research, teaching and service awards from professional organizations, Tickle College of Engineering (TCE), and the University of Tennessee, including 2020 UTK Chancellor’s Research and Creative Achievement Award and 2020 TCE Research Achieve Award. He also received TCE Teaching Fellow, Outstanding Advising, and Outstanding Service awards in the past five years. He is a fellow of the Institute of Industrial and Systems Engineers (IISE). He currently serves as editor-in-chief of Cleaner and Circular Bioeconomy, executive editor of the Journal of Cleaner Production, and area editor for the Engineering Economists. Before joining UT, he worked at Mississippi State University for 10 years, from 2002 to 2011. He received his Ph.D. from Lehigh University and Master’s and Bachelor from Zhejiang University. | |||
报告内容提要 | |||
This study aims to provide a comprehensive tool for the selection, design, and operations of automated warehouse systems considering multiple AS/RS options as well as different constraints and requirements from various business scenarios. We first model the retrieval task scheduling problem in crane-based 3D AS/RS with shuttle-based depth movement mechanisms which is being increasingly popular in practice but has been rarely studied. The problem is proved to be NP-hard and an optimality condition is proved to facilitate the development of an efficient heuristic. We then focus on the impacts of the number of shuttles, operational mode (i.e., SC and DC operation), storage policies, and shuttle dispatching rules on the expected cycle time of a tier-to-tier SBS/RS. Finally, a warehouse design problem is modeled and solved considering different AS/RS options and business needs. The warehouse design problem under consideration aims to reduce the investment while satisfying different business needs measured by the desired throughput capacity (i.e., expected cycle time for finishing a retrieval task). The warehouse design problem is first modeled as an MINP and then converted to an MIP. A branch-and-bound algorithm is proposed to conquer the computational challenges. | |||
