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Energy efficient scheduling of a two machine robotic cell producing multiple part types

Author

Listed:
  • Çiya Aydoğan

    (Middle East Technical University)

  • Sinan Gürel

    (Middle East Technical University)

Abstract

This paper studies robot speed control decisions and the energy consumption objective in a cyclic robotic cell scheduling problem. The study considers a two-machine flow shop cell that produces multiple part types. A robot handles the parts between the machines and buffers. We assume that the energy consumption of the robot during a move is a convex function of its speed. The problem is to sequence the parts, construct a robot move sequence, and plan the robot’s speed levels to minimize two conflicting objectives: cycle time and energy consumption of the robot. We propose mathematical models that find Pareto-efficient solutions to the problem. For large instances, we propose heuristic search algorithms. Numerical results show that integrating robot speed decisions into the scheduling problem leads to significant energy saving.

Suggested Citation

  • Çiya Aydoğan & Sinan Gürel, 2024. "Energy efficient scheduling of a two machine robotic cell producing multiple part types," Flexible Services and Manufacturing Journal, Springer, vol. 36(4), pages 1324-1358, December.
    • Handle: RePEc:spr:flsman:v:36:y:2024:i:4:d:10.1007_s10696-023-09528-4
    DOI: 10.1007/s10696-023-09528-4
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    References listed on IDEAS

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    1. Nicholas G. Hall & Chelliah Sriskandarajah, 1996. "A Survey of Machine Scheduling Problems with Blocking and No-Wait in Process," Operations Research, INFORMS, vol. 44(3), pages 510-525, June.
    2. Y. Crama & V. Kats & J. van de Klundert & E. Levner, 2000. "Cyclic scheduling in robotic flowshops," Annals of Operations Research, Springer, vol. 96(1), pages 97-124, November.
    3. Nicholas G. Hall & Hichem Kamoun & Chelliah Sriskandarajah, 1997. "Scheduling in Robotic Cells: Classification, Two and Three Machine Cells," Operations Research, INFORMS, vol. 45(3), pages 421-439, June.
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