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Operational Decisions in AGV-Served Flowshop Loops: Fleet Sizing and Decomposition

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  • Nicholas Hall
  • Chelliah Sriskandarajah
  • Tharmarajah Ganesharajah

Abstract

This paper considers design and operational issues that arise in repetitive manufacturing systems served by automated guided vehicles (AGVs) in loop layouts with unidirectional material flow. Such systems are in widespread industrial use, and play an important role in modern manufacturing environments. The objective considered is the minimization of AGV fleet size, given the minimum steady state cycle time required to produce a minimal job set (or equivalently, given the maximum throughput rate). We also study whether the decomposition of a large AGV-served flowshop loop into several smaller loops improves productivity. The original loop and the decomposed design are compared with respect to the minimum cycle time needed for the repetitive manufacture of a minimal job set. When there are three or more machines in the loop, finding the optimal cycle time is an intractable problem. We therefore use the genetic algorithm developed in the companion paper [17], to identify whether the original or the decomposed design is more efficient. Our study suggests that many systems perform more productively as a result of decomposition. Finally, we discuss a joint sequencing issue that arises in decomposed systems with limited buffers between the loops, and analyze the tractability of all the relevant joint sequencing problems. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • Nicholas Hall & Chelliah Sriskandarajah & Tharmarajah Ganesharajah, 2001. "Operational Decisions in AGV-Served Flowshop Loops: Fleet Sizing and Decomposition," Annals of Operations Research, Springer, vol. 107(1), pages 189-209, October.
    • Handle: RePEc:spr:annopr:v:107:y:2001:i:1:p:189-209:10.1023/a:1014955216633
    DOI: 10.1023/A:1014955216633
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    Citations

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    Cited by:

    1. Grzegorz Bocewicz & Zbigniew Banaszak & Izabela Nielsen, 2019. "Multimodal processes prototyping subject to grid-like network and fuzzy operation time constraints," Annals of Operations Research, Springer, vol. 273(1), pages 561-585, February.
    2. Amjath, Mohamed & Kerbache, Laoucine & Smith, James MacGregor & Elomri, Adel, 2022. "Fleet sizing of trucks for an inter-facility material handling system using closed queueing networks," Operations Research Perspectives, Elsevier, vol. 9(C).
    3. Chelliah Sriskandarajah & Inna Drobouchevitch & Suresh P. Sethi & Ramaswamy Chandrasekaran, 2004. "Scheduling Multiple Parts in a Robotic Cell Served by a Dual-Gripper Robot," Operations Research, INFORMS, vol. 52(1), pages 65-82, February.
    4. 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.
    5. 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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