About AS/RS (1/7) About AS/RS (2/7) Research areas Storage locations assignment Storage and retrieval policy Physical design About AS/RS (3/7) Storage locations assignment Randomized Uniformly Closest open location Class-based Turnover ratio Dedicated About AS/RS (4/7) Storage and retrieval policy Single command (SC) First-come-first-serve Dual command (DC) First-come-first-serve Dynamic TSP problem Assignment problem (static & dynamic) Nearest neighbor About AS/RS (5/7) Physical design Configurations of rack Velocity Height & Length Acceleration & Deceleration Dwell point Bozer & White(1984) E(SC)=[ 1 1 b 2] T 3 E(DC)=[ 4 1 b 2 1 b 3 ] T 3 2 30 About AS/RS (6/7) Performance measure Travel time Throughout About AS/RS (7/7) Load types Mini-load Unit-load Effects of relocation to AS/RS storage location policy with production quantity variation Introduction Experiment design Simulation Result Conclusion Introduction The performance of will not be good if production quantity variation and current storage policy is kept Find the tolerance limits and appropriate strategies for storage policy when production plan change Random,2 and 3 class-based will be examined Experiment design (1/3) There are 20 items in the production plan Production quantities vary between 1080% Items are assumed as end products For 2 class-based storage Top four items: first class Experiment design (2/3) For 3 class-based storage Top four items: first class Next six items: second class For random storage 1500, 5000 and 95000 unit storage time Relocation process will be done whenever the crane idles Experiment design (3/3) Simulation (1/4) GPSS Simulated for 900,000 unit time Warn up 300,000 300,000~600,000 unit time: original Repeat 10 times Simulation (2/4) Simulation (3/4) Simulation (4/4) Result (1/3) Random storage Result (2/3) 2 class-based Result (3/3) 3 class-based Result(4/4) Conclusion (1/2) Conclusion (2/2) Class-based storage policies perform better but have a lower tolerance Class-based would be better if performance is the most critical issue If performance is not critical and frequent production plan changes are expected, random storage would be better
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