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Disruption management in production planning

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  • Jian Yang
  • Xiangtong Qi
  • Gang Yu

Abstract

We study the problem of recovering a production plan after a disruption, where the disruption may be caused by incidents such as power failure, market change, machine breakdown, supply shortage, worker no‐show, and others. The new recovery plan we seek after has to not only suit the changed environment brought about by the disruption, but also be close to the initial plan so as not to cause too much customer unsatisfaction or inconvenience for current‐stage and downstream operations. For the general‐cost case, we propose a dynamic programming method for the problem. For the convex‐cost case, a general problem which involves both cost and demand disruptions can be solved by considering the cost disruption first and then the demand disruption. We find that a pure demand disruption is easy to handle; and for a pure cost disruption, we propose a greedy method which is provably efficient. Our computational studies also reveal insights that will be helpful to managing disruptions in production planning. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005.

Suggested Citation

  • Jian Yang & Xiangtong Qi & Gang Yu, 2005. "Disruption management in production planning," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(5), pages 420-442, August.
    • Handle: RePEc:wly:navres:v:52:y:2005:i:5:p:420-442
    DOI: 10.1002/nav.20087
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    1. Ahmad I. Z. Jarrah & Gang Yu & Nirup Krishnamurthy & Ananda Rakshit, 1993. "A Decision Support Framework for Airline Flight Cancellations and Delays," Transportation Science, INFORMS, vol. 27(3), pages 266-280, August.
    2. G. Andreatta & G. Romanin-Jacur, 1987. "Aircraft Flow Management under Congestion," Transportation Science, INFORMS, vol. 21(4), pages 249-253, November.
    3. Akturk, M. Selim & Gorgulu, Elif, 1999. "Match-up scheduling under a machine breakdown," European Journal of Operational Research, Elsevier, vol. 112(1), pages 81-97, January.
    4. James C. Bean & John R. Birge & John Mittenthal & Charles E. Noon, 1991. "Matchup Scheduling with Multiple Resources, Release Dates and Disruptions," Operations Research, INFORMS, vol. 39(3), pages 470-483, June.
    5. Guillermo Gallego, 1990. "Scheduling the Production of Several Items with Random Demands in a Single Facility," Management Science, INFORMS, vol. 36(12), pages 1579-1592, December.
    6. Albert Wagelmans & Stan van Hoesel & Antoon Kolen, 1992. "Economic Lot Sizing: An O(n log n) Algorithm That Runs in Linear Time in the Wagner-Whitin Case," Operations Research, INFORMS, vol. 40(1-supplem), pages 145-156, February.
    7. Arthur F. Veinott, Jr., 1964. "Production Planning with Convex Costs: A Parametric Study," Management Science, INFORMS, vol. 10(3), pages 441-460, April.
    8. Robert C. Carlson & James V. Jucker & Dean H. Kropp, 1979. "Less Nervous MRP Systems: A Dynamic Economic Lot-Sizing Approach," Management Science, INFORMS, vol. 25(8), pages 754-761, August.
    9. Teodorovic, Dusan & Guberinic, Slobodan, 1984. "Optimal dispatching strategy on an airline network after a schedule perturbation," European Journal of Operational Research, Elsevier, vol. 15(2), pages 178-182, February.
    10. Songjun Luo & Gang Yu, 1997. "On the Airline Schedule Perturbation Problem Caused by the Ground Delay Program," Transportation Science, INFORMS, vol. 31(4), pages 298-311, November.
    11. Peter B. Vranas & Dimitris J. Bertsimas & Amedeo R. Odoni, 1994. "The Multi-Airport Ground-Holding Problem in Air Traffic Control," Operations Research, INFORMS, vol. 42(2), pages 249-261, April.
    12. Suresh Chand & Vernon Ning Hsu & Suresh Sethi, 2002. "Forecast, Solution, and Rolling Horizons in Operations Management Problems: A Classified Bibliography," Manufacturing & Service Operations Management, INFORMS, vol. 4(1), pages 25-43, September.
    13. Guillermo Gallego, 1994. "When is a base stock policy optimal in recovering disrupted cyclic schedules?," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(3), pages 317-333, April.
    14. Michael F. Argüello & Jonathan F. Bard & Gang Yu, 1997. "A Grasp for Aircraft Routing in Response to Groundings and Delays," Journal of Combinatorial Optimization, Springer, vol. 1(3), pages 211-228, October.
    15. Willard I. Zangwill, 1969. "A Backlogging Model and a Multi-Echelon Model of a Dynamic Economic Lot Size Production System--A Network Approach," Management Science, INFORMS, vol. 15(9), pages 506-527, May.
    16. Awi Federgruen & Michal Tzur, 1991. "A Simple Forward Algorithm to Solve General Dynamic Lot Sizing Models with n Periods in 0(n log n) or 0(n) Time," Management Science, INFORMS, vol. 37(8), pages 909-925, August.
    17. Alok Aggarwal & James K. Park, 1993. "Improved Algorithms for Economic Lot Size Problems," Operations Research, INFORMS, vol. 41(3), pages 549-571, June.
    18. M. Florian & J. K. Lenstra & A. H. G. Rinnooy Kan, 1980. "Deterministic Production Planning: Algorithms and Complexity," Management Science, INFORMS, vol. 26(7), pages 669-679, July.
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    1. Sanjoy Kumar Paul & Ruhul Sarker & Daryl Essam, 2018. "A reactive mitigation approach for managing supply disruption in a three-tier supply chain," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1581-1597, October.
    2. Azad, Nader & Hassini, Elkafi, 2019. "Recovery strategies from major supply disruptions in single and multiple sourcing networks," European Journal of Operational Research, Elsevier, vol. 275(2), pages 481-501.
    3. 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).
    4. Q Mu & Z Fu & J Lysgaard & R Eglese, 2011. "Disruption management of the vehicle routing problem with vehicle breakdown," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 742-749, April.
    5. Wenchang Luo & Taibo Luo & Randy Goebel & Guohui Lin, 2018. "Rescheduling due to machine disruption to minimize the total weighted completion time," Journal of Scheduling, Springer, vol. 21(5), pages 565-578, October.
    6. 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.
    7. Puchkova, Alena & McFarlane, Duncan & Srinivasan, Rengarajan & Thorne, Alan, 2020. "Resilient planning strategies to support disruption-tolerant production operations," International Journal of Production Economics, Elsevier, vol. 226(C).
    8. Chen Li & Xiangtong Qi & Chung-Yee Lee, 2015. "Disruption Recovery for a Vessel in Liner Shipping," Transportation Science, INFORMS, vol. 49(4), pages 900-921, November.

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