Automated warehouses are widely used in manufacturing, warehousing, and distributions applications. Automated storage and retrieval systems (AS/RSs) as basic components of automated warehouses are used in manufacturing, warehousing, and distributions applications. In this talk, we address a unit load AS/RS, where one storage and retrieval machine is dedicated to all aisles, and propose a computational intelligence solution approach to minimize the total time travelled by the machine to complete the retrieval process of items.

Dr. Yacob Khojasteh is an Associate Professor of Operations Management at the Graduate School of Global Studies, Sophia University, Tokyo, Japan. He received his Ph.D. in Engineering from the University of Tsukuba, Japan. He also received his M.Sc. in Policy and Planning Sciences, and in Industrial Engineering from the University of Tsukuba, and Tarbiat Modares University, respectively. He has several years of professional experience in industry and consulting. His books entitled “Production Control Systems: A Guide to Enhance Performance of Pull Systems” and “Supply Chain Risk Management: Advanced Tools, Models, and Developments” were published by Springer in 2016 and 2017, respectively. Also, his recent book entitled” Production Management: Advanced Models, Tools, and Applications for Pull Systems” was published by CRC Press, a Taylor & Francis Group, in 2018. His research interests include production and operations management, supply chain management, systems modeling and optimization, and lean production systems.