journal article·2023-03-05Open access

Modelling Analysis of a Four-Way Shuttle-Based Storage and Retrieval System on the Basis of Operation Strategy

Jia Mao, Jinyuan Cheng, Xiangyu Li, Honggang Zhao, Ciyun Lin

Applied Sciences· Volume 13· Issue 5

Abstract

In the context of sustainable development, this paper rationalises the outbound process of a four-way shuttle system with a focus on their modelling, performance evaluation and configuration using a parallel operation strategy to reduce resource waste, thus achieving sustainable development. The parallelism of the hoist and shuttle is innovatively incorporated into the four-way shuttle system, so the modelling content is divided into parallel and serial types. In the parallel operation strategy model, a separation–aggregation queueing network model is constructed, and the open-loop queueing network is innovatively solved using the maximum entropy method. In the serial operation strategy model, a semi-open-loop queuing network is constructed and solved using the geometric matrix method. By varying different parameters, the accuracy of the model is verified by Arena simulation with an error range of 10% or less, and the error of the system performance index calculation is reduced by 20% compared with the existing methods. Setting up 18 different sizes of shuttle systems provided a better performance than a single serial-operation strategy through the addition of parallel strategies, with an average reduction of 12.6% in the system response time and a minimum reduction of 1.8%. The conclusions of this paper were verified on the basis of an arithmetic case analysis.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Transportation and Mobility Innovations · Advanced Manufacturing and Logistics Optimization · Transportation Planning and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Transportation, Jilin University, Changchun 130022, China

College of Automotive Engineering, Jilin University, Changchun 130022, China

College of Chemical Engineering, Xinjiang Normal University, Urumqi 830054, China

References (43)

Show source-provided references
1. An energy-efficient method of laser remanufacturing process
2. Design models for unit load storage and retrieval systems using autonomous vehicle technology and resource conserving storage and dwell point policies10.1016/j.apm.2006.09.011 ↗
3. An efficient cycle time model for autonomous vehicle storage and retrieval systems10.1080/00207540601118454 ↗
4. A network queuing approach for evaluation of performance measures in autonomous vehicle storage and retrieval systems10.1016/j.ejor.2007.10.049 ↗
5. Performance modelling of autonomous vehicle storage and retrieval systems using class-based storage policies10.1504/IJCAT.2008.018160 ↗
6. Heragu, S.S., Cai, X., Krishnamurthy, A., and Malmborg, C.J. (2009, January 22–25). Analysis of autonomous vehicle storage and retrieval system by open queueing network. Proceedings of the IEEE International Conference on Automation Science and Engineering, Bangalore, India.10.1109/COASE.2009.5234100 ↗
7. Simulation based experimental design to identify factors affecting performance of AVS/RS10.1016/j.cie.2009.10.004 ↗
8. Performance evaluation of AVS/RS under various design scenarios: A case study10.1007/s00170-010-3137-x ↗
9. Guerrazzi, E., Mininno, V., Aloini, D., Dulmin, R., Scarpelli, C., and Sabatini, M. (2019). Energy Evaluation of Deep-Lane Autonomous Vehicle Storage and Retrieval System. Sustainability, 11.10.3390/su11143817 ↗
10. Roy, D., Krishnamurthy, A., Heragu, S.S., and Malmborg, C.J. (2009, January 22–25). Impact of zones on throughput and cycle times in warehouses with autonomous vehicles. Proceedings of the IEEE International Conference on Automation Science and Engineering, Bangalore, India.10.1109/COASE.2009.5234102 ↗
11. Performance analysis and design trade-offs in warehouses with autonomous vehicle technology10.1080/0740817X.2012.665201 ↗
12. Blocking Effects in Warehouse Systems with Autonomous Vehicles10.1109/TASE.2013.2243910 ↗
13. Stochastic models for unit-load operations in warehouse systems with autonomous vehicles10.1007/s10479-014-1665-8 ↗
14. A multi-tier linking approach to analyze performance of autonomous vehicle-based storage and retrieval systems10.1016/j.cor.2017.02.012 ↗
15. Analytical models for cycle time and throughput evaluation of multi-shuttle deep-lane AVS/RS10.1007/s00170-019-03985-8 ↗
16. A multi-objective optimisation study for the design of an AVS/RS warehouse10.1080/00207543.2020.1720927 ↗
17. Analysis of the Shuttle-Based Storage and Retrieval System10.1109/ACCESS.2020.3014102 ↗
18. An approach for a performance calculation of shuttle-based storage and retrieval systems with multiple-deep storage10.1007/s00170-019-04831-7 ↗
19. An open queuing network-based tool for performance estimations in a shuttle-based storage and retrieval system10.1016/j.apm.2020.07.055 ↗
20. Travel time analysis of a new automated storage and retrieval system10.1016/j.cor.2003.11.020 ↗
21. Modeling parallel movement of lifts and vehicles in tier-captive vehicle-based warehousing systems10.1016/j.ejor.2016.03.039 ↗
22. Modeling and simulation of centralized and decentralized AS/RS driven by random orders
23. Dynamic Modelling of an Automated Vehicle Storage and Retrieval System and a Simulation Analysis of Its Efficiency
24. Modeling and analysis parallel operation of the double-deep mutil-shuttle warehousing system
25. An Approximate Solution for Semi-Open Queueing Network Model of an Autonomous Vehicle Storage and Retrieval System10.1109/TASE.2012.2200676 ↗
26. Matrix-geometric solution for semi-open queuing network model of autonomous vehicle storage and retrieval system10.1016/j.cie.2013.12.002 ↗
27. Matrix-geometric solutions of M/G/1-type Markov chains: A unifying generalized state-space approach10.1109/49.700901 ↗
28. Analysis of first-come-first-served mechanisms in one-way car-sharing services10.1016/j.trb.2021.03.006 ↗
29. On first-come, first-served queues with two classes of impatient customers10.1007/s11134-018-9592-z ↗
30. Optimization of multi objective vehicle routing problem using a new hybrid algorithm based on particle swarm optimization and artificial bee colony algorithm considering Precedence constraints10.1016/j.aej.2017.09.006 ↗
31. First-come-first-served queues with multiple servers and customer classes10.1016/j.peva.2018.11.001 ↗
32. Calculating equilibrium probabilities for λ(n)/Ck/1/N queues
33. On the Phase-Type Approximations of General Distributions10.1080/07408178508975280 ↗
34. Maximum entropy methods for the general queueing network
35. A Maximum Entropy Analysis of the G/G/1 Queue at Equilibrium10.1057/jors.1988.30 ↗
36. Solving Semi-Open Queuing Networks10.1287/opre.1080.0627 ↗
37. Li, H., Wang, J., Bai, G., and Hu, X. (2021). Research on Self-Balancing System of Autonomous Vehicles Based on Queuing Theory. Sensors, 21.10.3390/s21134619 ↗
38. Markov chains in random environment with applications in queuing theory and machine learning10.1016/j.spa.2021.04.002 ↗
39. A discrete-time queueing model of the shared buffer ATM switch with bursty arrivals
40. A Rationale for Past/Prediction Span Proportion in Markov Chain-Based Predictive Modeling of Energy-Related Compositional Time Series Data10.1007/s13369-022-06793-7 ↗
41. Queueing networks and markov chains: Modeling and performance evaluation with computer science applications10.2307/2669582 ↗
42. Approximate analysis of general open queuing networks with restricted capacity10.1016/0166-5316(90)90013-9 ↗
43. IoT applications and services for connected and autonomous electric vehicles10.1007/s13369-019-04216-8 ↗