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Finding optimal dwell points for automated guided vehicles in general guide-path layouts

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  • Ventura, José A.
  • Pazhani, Subramanian
  • Mendoza, Abraham

Abstract

The dwell points for idle vehicles in an automated guided vehicle (AGV) system determine the response times for pick-up requests and thus affect the performance of automated manufacturing systems. In this paper, we address the problem of optimally locating dwell points for a given number of AGVs in a general guide-path layout. Based on an optimality property, we propose new mixed integer linear programming (MILP) formulations for three versions of the problem: (i) minimizing the mean response time in the system, (ii) minimizing the maximum response time in the system, and (iii) minimizing the maximum response time in the system considering time restrictions on vehicle availability. Given that the computational time required to solve the MILP models significantly increases with the size of the guide-path network and number of available AGVs, we also develop a generic genetic algorithm (GA) that can be applied to all three versions of the problem. A computational study is carried out on the single-loop layout and two special cases of two-dimensional grid networks with the objectives of minimizing mean response time and minimizing the maximum response time. The results show that the proposed GA procedure can yield optimal or near optimal solutions in reasonable time.

Suggested Citation

  • Ventura, José A. & Pazhani, Subramanian & Mendoza, Abraham, 2015. "Finding optimal dwell points for automated guided vehicles in general guide-path layouts," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 850-861.
    • Handle: RePEc:eee:proeco:v:170:y:2015:i:pc:p:850-861
    DOI: 10.1016/j.ijpe.2015.03.007
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    References listed on IDEAS

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    1. Trevor S. Hale & Faizul Huq & Jennifer V. Blackhurst & Ken Cutright, 2009. "Closed form models for dwell point locations for overhead bridge cranes," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 4(4), pages 412-421.
    2. Ventura, José A. & Rieksts, Brian Q., 2009. "Optimal location of dwell points in a single loop AGV system with time restrictions on vehicle availability," European Journal of Operational Research, Elsevier, vol. 192(1), pages 93-104, January.
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    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. Daniel, J. Sudhir Ryan & Rajendran, Chandrasekharan, 2006. "Heuristic approaches to determine base-stock levels in a serial supply chain with a single objective and with multiple objectives," European Journal of Operational Research, Elsevier, vol. 175(1), pages 566-592, November.
    6. Kim, Kap Hwan, 1995. "Positioning of automated guided vehicles in a loop layout to minimize the mean vehicle response time," International Journal of Production Economics, Elsevier, vol. 39(3), pages 201-214, May.
    7. Gademann, A. J. R. M. & van de Velde, S. L., 2000. "Positioning automated guided vehicles in a loop layout," European Journal of Operational Research, Elsevier, vol. 127(3), pages 565-573, December.
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    Cited by:

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    3. Maryam Mousavi & Hwa Jen Yap & Siti Nurmaya Musa & Farzad Tahriri & Siti Zawiah Md Dawal, 2017. "Multi-objective AGV scheduling in an FMS using a hybrid of genetic algorithm and particle swarm optimization," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-24, March.

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