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Model-Based Research for Aiding Decision-Making During the Design and Operation of Multi-Load Automated Guided Vehicle Systems

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  • Yan, R.
  • Dunnett, S.J.
  • Jackson, L.M.

Abstract

Multi-load Automated Guided Vehicle's (AGV) are regarded as a potential tool to tackle the low-efficiency issue that have plagued traditional single-load AGV systems for many years. However, to date, the optimal design and operation of multi-load AGV systems is still an unresolved question. In order to explore the answer to this question and help operators make decisions during the design and operation of these systems, this article will use Coloured Petri nets (CPN) to develop a mathematical model to investigate the performance (i.e., the total number of items delivered within a given time) of the multi-load AGV system in various scenarios. The research has shown that the failure of multi-load AGVs can significantly lower the performance of the AGV system. Although it is possible to maintain high system performance by performing onsite corrective maintenance, the research shows that this can be achieved using a combination of periodic maintenance and backup AGV use. Finally, it is found that increasing the number of multi-load AGVs can increase system performance, but will decrease the efficiency (i.e., the average number of items delivered per AGV) of the individual AGVs in the system due to the increased traffic conflicts and hence longer waiting times.

Suggested Citation

  • Yan, R. & Dunnett, S.J. & Jackson, L.M., 2022. "Model-Based Research for Aiding Decision-Making During the Design and Operation of Multi-Load Automated Guided Vehicle Systems," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    • Handle: RePEc:eee:reensy:v:219:y:2022:i:c:s0951832021007390
    DOI: 10.1016/j.ress.2021.108264
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    References listed on IDEAS

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    1. Chen Chen & Lee Kong Tiong, 2019. "Using queuing theory and simulated annealing to design the facility layout in an AGV-based modular manufacturing system," International Journal of Production Research, Taylor & Francis Journals, vol. 57(17), pages 5538-5555, September.
    2. Yu, Haiyue & Wu, Xinyang & Wu, Xiaoyue, 2020. "An extended object-oriented petri net model for mission reliability evaluation of phased-mission system with time redundancy," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    3. Han, Xiao & Wang, Zili & Xie, Min & He, Yihai & Li, Yao & Wang, Wenzhuo, 2021. "Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    4. Vis, Iris F.A., 2006. "Survey of research in the design and control of automated guided vehicle systems," European Journal of Operational Research, Elsevier, vol. 170(3), pages 677-709, May.
    5. Eryilmaz, Serkan, 2020. "Age-based preventive maintenance for coherent systems with applications to consecutive-k-out-of-n and related systems," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    6. Naybour, Matthew & Remenyte-Prescott, Rasa & Boyd, Matthew J., 2019. "Reliability and efficiency evaluation of a community pharmacy dispensing process using a coloured Petri-net approach," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 258-268.
    7. Latsou, Christina & Dunnett, Sarah J. & Jackson, Lisa M., 2019. "A new methodology for automated Petri Net generation: Method application," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 113-123.
    8. Eriksen, Stig & Utne, Ingrid Bouwer & Lützen, Marie, 2021. "An RCM approach for assessing reliability challenges and maintenance needs of unmanned cargo ships," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    9. Fazlollahtabar, Hamed & Saidi-Mehrabad, Mohammad & Balakrishnan, Jaydeep, 2015. "Integrated Markov-neural reliability computation method: A case for multiple automated guided vehicle system," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 34-44.
    10. Sheng, Jingyu & Prescott, Darren, 2019. "A coloured Petri net framework for modelling aircraft fleet maintenance," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 67-88.
    11. Mena, R. & Viveros, P. & Zio, E. & Campos, S., 2021. "An optimization framework for opportunistic planning of preventive maintenance activities," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    12. Zhou, Jianfeng & Reniers, Genserik, 2020. "Probabilistic Petri-net addition enabling decision making depending on situational change: The case of emergency response to fuel tank farm fire," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    13. Yan, Rundong & Dunnett, S.J. & Jackson, L.M., 2018. "Novel methodology for optimising the design, operation and maintenance of a multi-AGV system," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 130-139.
    14. Chahrour, Nour & Nasr, Mohamad & Tacnet, Jean-Marc & Bérenguer, Christophe, 2021. "Deterioration modeling and maintenance assessment using physics-informed stochastic Petri nets: Application to torrent protection structures," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
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    3. Agnieszka A. Tubis & Honorata Poturaj, 2022. "Risk Related to AGV Systems—Open-Access Literature Review," Energies, MDPI, vol. 15(23), pages 1-23, November.

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