Stochastic Programming Recourse Models for Reconfigurable Multi-Period Storage Allocation in Remanufacturing Pull Facilities

نویسندگان

  • Aysegul Topcu
  • James Benneyan
  • Thomas Cullinane
چکیده

Inventory space requirements in remanufacturing facilities can vary significantly over time and by type of space needed, due variability in recaptured component quality, availability of refurbished components, remanufactured product demand, and returned product rates. Multi-period stochastic programming recourse models are developed to identify optimal schedules of internal, external, and reconfigured amounts of storage space in each time period. Results are compared to deterministic expected value models, and computational issues are discussed.

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تاریخ انتشار 2008