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Recovering Cyclic Schedules Using Dynamic Produce-Up-To Policies

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  • Donald D. Eisenstein

    (Graduate School of Business, The University of Chicago, Chicago, Illinois 60637)

Abstract

We consider facilities that follow a cyclic schedule to replenish the inventory of a set of items through production by a shared resource. We introduce a dynamic produce-up-to policy that recovers the target cyclic schedule after a single disruption, and is also shown to be effective when disruptions are more frequent. Our policy is more flexible than traditional recovery policies in that our policy is able to adjust the amount of idle time observed during recovery in response to disruptions, and yet re-establish the target idle time as the schedule recovers. This results in a policy that not only saves cost and time, but provides better schedule stability than other recovery procedures. Furthermore, unlike simple produce-up-to policies, our policy is anticipatory—replenishments will be speeded up or delayed, whichever is necessary, to help avoid congestion at the shared resource. In addition, recovery is controlled by a single “knob” or parameter that can tune recovery to be fast and aggressive (frequent setups and small batches) or slow and methodical (few setups and larger batches). Finally, our policy is easy to implement, augmenting a traditional produce-up-to policy with a simple set of counters that control replenishment decisions.

Suggested Citation

  • Donald D. Eisenstein, 2005. "Recovering Cyclic Schedules Using Dynamic Produce-Up-To Policies," Operations Research, INFORMS, vol. 53(4), pages 675-688, August.
  • Handle: RePEc:inm:oropre:v:53:y:2005:i:4:p:675-688
    DOI: 10.1287/opre.1040.0201
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    References listed on IDEAS

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    Cited by:

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    3. Hishamuddin, Hawa & Sarker, Ruhul A. & Essam, Daryl, 2014. "A recovery mechanism for a two echelon supply chain system under supply disruption," Economic Modelling, Elsevier, vol. 38(C), pages 555-563.
    4. Li, Shanshan & He, Yong & Chen, Lujie, 2017. "Dynamic strategies for supply disruptions in production-inventory systems," International Journal of Production Economics, Elsevier, vol. 194(C), pages 88-101.
    5. Pan, Fei & Pan, Shenle & Zhou, Wei & Fan, Tijun, 2022. "Perishable product bundling with logistics uncertainty: Solution based on physical internet," International Journal of Production Economics, Elsevier, vol. 244(C).
    6. Yun Fong Lim, 2011. "TECHNICAL NOTE---Cellular Bucket Brigades," Operations Research, INFORMS, vol. 59(6), pages 1539-1545, December.
    7. Winands, E.M.M. & Adan, I.J.B.F. & van Houtum, G.J., 2011. "The stochastic economic lot scheduling problem: A survey," European Journal of Operational Research, Elsevier, vol. 210(1), pages 1-9, April.
    8. Hishamuddin, H. & Sarker, R.A. & Essam, D., 2012. "A disruption recovery model for a single stage production-inventory system," European Journal of Operational Research, Elsevier, vol. 222(3), pages 464-473.
    9. Shao, Xiao-Feng, 2012. "Demand-side reactive strategies for supply disruptions in a multiple-product system," International Journal of Production Economics, Elsevier, vol. 136(1), pages 241-252.
    10. A. Thangam, 2017. "Retailer’s optimal replenishment policy in a two-echelon supply chain under two-part delay in payments and disruption in delivery," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 26-46, January.
    11. Sarker, Ruhul & Essam, Daryl, 2017. "A quantitative model for disruption mitigation in a supply chainAuthor-Name: Paul, Sanjoy Kumar," European Journal of Operational Research, Elsevier, vol. 257(3), pages 881-895.
    12. Sanjoy Kumar Paul & Ruhul Sarker & Daryl Essam & Paul Tae-Woo Lee, 2019. "A mathematical modelling approach for managing sudden disturbances in a three-tier manufacturing supply chain," Annals of Operations Research, Springer, vol. 280(1), pages 299-335, September.
    13. Zied Bahroun & Nidhal Belgacem, 2019. "Determination of dynamic safety stocks for cyclic production schedules," Operations Management Research, Springer, vol. 12(1), pages 62-93, June.
    14. Paul, Sanjoy Kumar & Sarker, Ruhul & Essam, Daryl, 2014. "Real time disruption management for a two-stage batch production–inventory system with reliability considerations," European Journal of Operational Research, Elsevier, vol. 237(1), pages 113-128.
    15. Rappold, James A. & Yoho, Keenan D., 2014. "Setting safety stocks for stable rotation cycle schedules," International Journal of Production Economics, Elsevier, vol. 156(C), pages 146-158.
    16. E J Lodree Jr & S Taskin, 2008. "An insurance risk management framework for disaster relief and supply chain disruption inventory planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 674-684, May.

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