| Summary: | 碩士 === 國立臺灣科技大學 === 工業管理系 === 95 === Warehouse industries and modern factories are now dominated by crane-based Automated Storage and Retrieval Systems (AS/RS's) where aisle captive cranes provide more efficient movement patterns owing to simultaneously horizontal and vertical movement. However, system performance of AS/RS’s is not well discussed analytically and efficiently. This thesis proposes computationally efficient performance evaluation models for AS/RS’s under stochastic demand. Based on the assumptions of First-Come-First-Serve, random storage and a particular dwell point policy, storage/retrieval (S/R) machine travel time and the probability distribution for four travel scenarios are formulated and used to generate expected transaction service times. System performance including transaction waiting time and S/R machine utilization is the key to determine if the transaction demand is met. The proposed models provide prediction of system performance based on rack sizes, S/R machine travel velocity and transaction demand rates. They can be illustrated in the design and evaluation for an actual system installation.
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