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An Integrated Strategy for a Production Planning and Warehouse Layout Problem: Modeling and Solution Approaches

张国庆教授(University of Windsor, Canada)
2016年11月23号13:00-14:00  闵行校区数学楼401
 
校级学术报告(运筹控制组)

摘要: We study a real-world production warehousing case, where the company always faces the challenge to find available space for its products and to manage the items in the warehouse. To resolve the problem, an integrated strategy that combines warehouse layout with the capacitated lot-sizing problem is presented, which have been traditionally treated separately in the existing literature. We develop a mixed integer linear programming model to formulate the integrated optimization problem with the objective of minimizing the total cost of production and warehouse operations. The problem with real data is a large-scale instance that is beyond the capability of optimization solvers. A novel Lagrangian relax-and-fix heuristic approach and its variants are proposed to solve the large-scale problem. The preliminary numerical results from the heuristic approaches are reported.

报告人简介:Guoqing Zhang, PEng, is a Professor in the Faculty of Engineering, University of Windsor, and the director of Supply Chain and Logistics Optimization Research center. His recent research interests include optimization in supply chain management, logistics, algorithms design and development, and portfolio optimization. He has published over 40 articles on those areas in journals such as Operations Research, Computational Optimization and Applications, IIE Transactions, European Journal of Operational Research, Computers and Operations Research, and Omega.
Dr. Zhang is an editorial board member of Journal of Remanufacturing, International Journal of Applied Logistics, and 中国管理科学, associate editor of INFOR. He served on International Activity Committee of INFORMS from 2012 to 2014. He has served as a consultant to several world leading companies on Automotive, Energy, and Foods industries. Dr. Zhang and his team recently won the first place in the Canadian Operations Research Society’s (CORS) Practice Prize competition for their project “Modelling of the Air Cargo Network Flow Optimization”.
   
 
 
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