This selection includes delivered systems, applied research, validated prototypes, and platforms under development. Each entry explains the problem, my role, what was created, the available evidence, and its current status.
I developed and computationally validated a mixed-integer method that plans aircraft utilization and preventive maintenance together for instances representing about 1,500 assets. Tested cases reached verified optimal solutions in under seven minutes; the work remains a research implementation, not an operational deployment.
A solver-independent planning engine that integrates age-based maintenance with permutation flow-shop scheduling. Three formulations—deterministic, fuzzy bi-objective, and stochastic—balance delivery tardiness and maintenance cost while accounting for maintenance effects on processing, combined maintenance activities, and uncertainty in processing and maintenance times.