Stochastic Programming Recourse Models for Reconfigurable
نویسندگان
چکیده
Inventory space requirements in remanufacturing facilities can vary significantly over time and by type of space needed due to 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 adaptive schedules for internal, external, and reconfigured storage space requirements in each time period. Results are compared with expected value models and computational issues are discussed. In most cases, solutions with expected value formulations are found to be as much as 34% higher than stochastic programming recourse solutions. Model size, however, increases significantly with more periods due to the rapid increase in the number of possible scenarios, variables, and constraints.
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Stochastic Programming Recourse Models for Reconfigurable Multi-Period Storage Allocation in Remanufacturing Pull Facilities
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 recon...
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