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Design and operational issues in AGV-served manufacturing systems

Author

Listed:
  • Tharma Ganesharajah
  • Nicholas Hall
  • Chelliah Sriskandarajah

Abstract

Automated Guided Vehicle (AGV) systems are already in widespread use and their importance for material handling is expected to grow rapidly. The advantages that such systems can offer include increased flexibility, better space utilization, improved factory floor safety, reduction in overall operating cost, and easier interface with other automated systems. This survey paper focuses on design and operational issues that arise in AGV systems. The objectives of the paper are to unify various lines of research related to AGVs and to suggest directions for future study. We consider problems arising in flowpath design, fleet sizing, job and vehicle scheduling, dispatching and conflict-free routing. Flowpath design problems address computationally intractable issues in the physical layout of a single loop and complex networks. Transportation and related models, waiting line analysis and simulation approaches are used to address fleet sizing questions. Scheduling issues focus on three flowpath layouts. In line layouts, the most important issues include finding an efficient job sequencing algorithm and identifying optimal AGV launch times. In loop layouts, issues such as joint scheduling of the job and AGV schedules, interface with a larger manufacturing system, dynamic job arrivals, and the location of the AGV parking area, are important. For complex network layouts, joint scheduling, heuristic dispatching rules, and conflict-free routing of AGVs, are considered. We identify the inefficiencies that result from addressing these issues in isolation, suggesting the need for integration. We also provide a summary of the most important open research issues related to all the above topics. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • Tharma Ganesharajah & Nicholas Hall & Chelliah Sriskandarajah, 1998. "Design and operational issues in AGV-served manufacturing systems," Annals of Operations Research, Springer, vol. 76(0), pages 109-154, January.
  • Handle: RePEc:spr:annopr:v:76:y:1998:i:0:p:109-154:10.1023/a:1018936219150
    DOI: 10.1023/A:1018936219150
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    Citations

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    Cited by:

    1. Giuseppe Fragapane & Dmitry Ivanov & Mirco Peron & Fabio Sgarbossa & Jan Ola Strandhagen, 2022. "Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics," Annals of Operations Research, Springer, vol. 308(1), pages 125-143, January.
    2. Chang, Yung-Chia & Lee, Chung-Yee, 2004. "Machine scheduling with job delivery coordination," European Journal of Operational Research, Elsevier, vol. 158(2), pages 470-487, October.
    3. Caumond, A. & Lacomme, P. & Moukrim, A. & Tchernev, N., 2009. "An MILP for scheduling problems in an FMS with one vehicle," European Journal of Operational Research, Elsevier, vol. 199(3), pages 706-722, December.
    4. Mengshi Lu & Zhihao Chen & Siqian Shen, 2018. "Optimizing the Profitability and Quality of Service in Carshare Systems Under Demand Uncertainty," Manufacturing & Service Operations Management, INFORMS, vol. 20(2), pages 162-180, May.
    5. Asef-Vaziri, Ardavan & Kazemi, Morteza & Eshghi, Kourosh & Lahmar, Maher, 2010. "An ant colony system for enhanced loop-based aisle-network design," European Journal of Operational Research, Elsevier, vol. 207(1), pages 110-120, November.
    6. Amogh Bhosekar & Sandra Ekşioğlu & Tuğçe Işık & Robert Allen, 2023. "A discrete event simulation model for coordinating inventory management and material handling in hospitals," Annals of Operations Research, Springer, vol. 320(2), pages 603-630, January.
    7. Haiyan Wang & Chung‐Yee Lee, 2005. "Production and transport logistics scheduling with two transport mode choices," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(8), pages 796-809, December.
    8. Aziez, Imadeddine & Côté, Jean-François & Coelho, Leandro C., 2022. "Fleet sizing and routing of healthcare automated guided vehicles," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    9. Caricato, Pierpaolo & Ghiani, Gianpaolo & Grieco, Antonio & Musmanno, Roberto, 2007. "Improved formulation, branch-and-cut and tabu search heuristic for single loop material flow system design," European Journal of Operational Research, Elsevier, vol. 178(1), pages 85-91, April.
    10. Asef-Vaziri, Ardavan & Laporte, Gilbert & Ortiz, Robert, 2007. "Exact and heuristic procedures for the material handling circular flow path design problem," European Journal of Operational Research, Elsevier, vol. 176(2), pages 707-726, January.
    11. Hichem Kamoun & Nicholas G. Hall & Chelliah Sriskandarajah, 1999. "Scheduling in Robotic Cells: Heuristics and Cell Design," Operations Research, INFORMS, vol. 47(6), pages 821-835, December.
    12. Yiwei Jiang & Qinghui Zhang & Jueliang Hu & Jianming Dong & Min Ji, 2015. "Single-server parallel-machine scheduling with loading and unloading times," Journal of Combinatorial Optimization, Springer, vol. 30(2), pages 201-213, August.
    13. Antoine Jouglet & Dritan Nace & Christophe Outteryck, 2016. "Timetabling of sorting slots in a logistic warehouse," Annals of Operations Research, Springer, vol. 239(1), pages 295-316, April.
    14. Asef-Vaziri, Ardavan & Laporte, Gilbert, 2005. "Loop based facility planning and material handling," European Journal of Operational Research, Elsevier, vol. 164(1), pages 1-11, July.
    15. Bojovic, Nebojsa J., 2002. "A general system theory approach to rail freight car fleet sizing," European Journal of Operational Research, Elsevier, vol. 136(1), pages 136-172, January.
    16. Carlier, Jacques & Haouari, Mohamed & Kharbeche, Mohamed & Moukrim, Aziz, 2010. "An optimization-based heuristic for the robotic cell problem," European Journal of Operational Research, Elsevier, vol. 202(3), pages 636-645, May.
    17. 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.

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