Planning and Scheduling of Complex, High Value-Added Service Operations
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Second, we examine the sensitivity of estimates of technology functions to data analysis and make policy recommendations to service providers on how to allocate resources when there are technology function uncertainties and uncontrollable inputs. Results show that resources are allocated to compensate for technology function uncertainties.
Third, we gain insights as to how resource decisions are made for multiple stages and for multiple clients. We extrapolate theoretical findings from the single-stage planning study to determine resource allocations across multiple services and stages. Results show that when the dynamic program in the single-stage study is extended there is trade-off between the cost of capacity changes and profits across multiple stages.
- Doctoral Dissertations