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Production Planning & Control
The Management of Operations
Volume 2, 1991 - Issue 3
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Original Articles

Performance evaluation of a double shuttle automated storage and retrieval system

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Pages 207-213 | Published online: 25 Apr 2007
 

Abstract

A Double Shuttle Automated Storage/Retrieval operating on a Four Command Cycle is studied in this paper. A retrieval sequencing heuristic along with an approximation for the expected command cycle time is presented in the system. A lower bound is also developed for the mean four command cycle times for various retrieval block sizes and a number of open locations. The throughput of a double shuttle automated storage/retrievalsystem(AS/RS)working on the four command cycles under the heuristic is compared with the that of a single

Notes

BHABASARKER is an assistant professor at the Department of Industrial and Manufacturing Systems Engineering, Louisiana State University. He has worked with several organizations such as Jay Engineering Company, Godrej Company and World Bank. Earlier he taught at the Bangladesh Management Development Center, Centralia College, University of Texas at Austin and Texas A&M University. He has a PhD in industrial engineering from Texas A&M University. His current research and teaching interests are in mass production systems, flexible and cellular manufacturing systems, JIT application in manufacturing systems, location theory and operations research. He is a member of ORSA, TIMS, HE, POMS, DSI and AABE.

ARVINDH SABAPTHY is currently working as a development engineer with ABB Engineering Automation (ASEA Brown Boveri), at San Jose, California. He obtained a BSME from Anna University and an MSIE from Texas A&M University. His interests are in manufacturing analysis and planning, simulation and expert systems application in manufacturing.

ANIL LAL is a PhD student at the Texas A&M Industrial Engineering department. He received a BTech. in mechanical engineering from the Indian Institute of Technology, Bombay, and an MSIE from Louisiana State University at Baton Rouge. His research interests are in simulation, optimization and production planning and control. He is a member of ORSA, TIMS, HE and SCS.

MlN-HONG Han is currently with the Pohang Institute of Technology, Pohang, South Korea. He has worked with several industrial organizations, and has also taught at the Texas A∓M University IE Department. He has an MSIE from the University of Minnesota and a PhD in industrial engineering from the Georgia Institute of Technology. His teaching interests are in the areas of manufacturing systems, automation and material handling, optimization, vision and robotics. He is a member of HE and ORSA.

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