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Operations and Shipment Scheduling of a Batch on a Felxible Machine

Author

Listed:
  • Seyed M. R. Iravani

    (Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, Illinois 60208)

  • John A. Buzacott

    (Schulich School of Business, York University, Toronto, Ontario, Canada M3J IP3)

  • Morton J. M. Posner

    (Department of Industrial Engineering and Management, Jerusalem College of Technology, Jerusalem, Israel)

Abstract

We consider processing and shipment scheduling of a batch of size M jobs on a flexible (multifunctional) machine. All jobs in the batch require the same sequence of N operations on the machine. Costs are incurred in the forms of holding costs of jobs waiting for the next operation, setup costs whenever the machine is set up for a new operation, and shipment cost whenever the whole batch or a part of it is shipped to the customer. Using a dynamic programming formulation of the problem, we first show how the problem size increases in M and N . Then, by focusing on the properties of some classes of batch-splitting policies, a heuristic algorithm is presented that generates suboptimal policies. Some numerical results are provided which show that the algorithm performs very well.

Suggested Citation

  • Seyed M. R. Iravani & John A. Buzacott & Morton J. M. Posner, 2003. "Operations and Shipment Scheduling of a Batch on a Felxible Machine," Operations Research, INFORMS, vol. 51(4), pages 585-601, August.
    • Handle: RePEc:inm:oropre:v:51:y:2003:i:4:p:585-601
    DOI: 10.1287/opre.51.4.585.16095
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    References listed on IDEAS

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    Cited by:

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    2. Jingui Xie & Yiming Fan & Mabel C. Chou, 2017. "Flexibility design in loss and queueing systems: efficiency of k-chain configuration," Flexible Services and Manufacturing Journal, Springer, vol. 29(2), pages 286-308, June.

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