The goal of this project was to investigate the use of a mathematical modeling methodology for managing the dynamic maintenance planning and sortie scheduling issues of a process.
This project researches an optimal pipe routing path algorithm and develops an approach for segmenting operations into "suboperations" to improve optimization model tractability.
The main goal of this proposed research project is to develop more effective inventory control models for situations involving intermittent highly variable demand and to ensure that planned for target service levels are actually met during operational conditions when using existing inventory models.
Partnerships for Innovative Logistics Solutions. 