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Enhancing Performance through AS/RS Storage Location Assignment Strategies

Explore AS/RS research areas, storage location assignment methods, retrieval policies, and physical design for optimized performance. Experiment, simulate, and analyze the effects of relocation on storage policies with production quantity variation. Compare randomized, 2-class-based, and 3-class-based storage strategies for better tolerance and performance in AS/RS systems.

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Enhancing Performance through AS/RS Storage Location Assignment Strategies

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  1. About AS/RS (1/7)

  2. About AS/RS (2/7) • Research areas • Storage locations assignment • Storage and retrieval policy • Physical design

  3. About AS/RS (3/7) • Storage locations assignment • Randomized • Uniformly • Closest open location • Class-based • Turnover ratio • Dedicated

  4. 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

  5. About AS/RS (5/7) • Physical design • Configurations of rack • Height & Length • Velocity • Acceleration & Deceleration • Dwell point • Bozer & White(1984) • E(SC)=[ ] T • E(DC)=[ ] T

  6. About AS/RS (6/7) • Performance measure • Travel time • Throughout

  7. About AS/RS (7/7) • Load types • Mini-load • Unit-load

  8. Effects of relocation to AS/RS storage location policy with production quantity variation

  9. Introduction • Experiment design • Simulation • Result • Conclusion

  10. 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

  11. Experiment design (1/3) • There are 20 items in the production plan • Production quantities vary between 10-80% • Items are assumed as end products • For 2 class-based storage • Top four items: first class

  12. 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

  13. Experiment design (3/3)

  14. Simulation (1/4) • GPSS • Simulated for 900,000 unit time • Warn up 300,000 • 300,000~600,000 unit time: original • Repeat 10 times

  15. Simulation (2/4)

  16. Simulation (3/4)

  17. Simulation (4/4)

  18. Result (1/3) • Random storage

  19. Result (2/3) • 2 class-based

  20. Result (3/3) • 3 class-based

  21. Result(4/4)

  22. Conclusion (1/2)

  23. 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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