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Abstract:
Semi-open queuing network (SOQN) realistically models the synchronization process between external customer arrivals and fixed system resources. Hence, SOQNs provide better estimates of customer waiting times and resource utilization. In this research, stochastic models are developed for multi-tier automated storage systems where vehicles (resources) are self-powered to travel in horizontal directions (x- and y- axes), but use conveyors for vertical motion (z-axis). The SOQN for a single tier forms the building block for the multi-tier queuing network model. The conveyor system is modeled as a GI/G/1 queue. By using a combination of parametric decomposition and embedded Markov chain analysis, the queuing network is solved, and the effect of conveyors on system throughput capacity and transaction cycle times is determined.
Speaker biography:
Debjit Roy is a visiting assistant professor in the Department of Management of Technology and Innovation at the Rotterdam School of Management, Erasmus University. He received his Ph.D. in Industrial and Systems Engineering at the University of Wisconsin-Madison, USA in July 2011. He was also a research assistant at the Center for Quick Response Manufacturing. He holds a B.Tech degree in Manufacturing Engineering from National Institute of Foundry and Forge Technology, India, an M.Sc (Engineering) in Management Studies from Indian Institute of Science, India and an M.S in Manufacturing Systems Engineering from University of Wisconsin-Madison, USA. His research interests are in the area of stochastic models for decision-making, with applications in manufacturing, logistics, and service systems. He is the recipient of numerous awards and honors including 2009 and 2010 Wunsch prize for best technical paper in material handling, 2009 and 2010 scholarships from Material Handling Institute of America, and best IIE annual conference paper award (facility logistics track) in 2011.
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