
handle: 10945/74704
This research develops the rocket inspection scheduling optimization model (RISOM), a new approach to scheduling rocket motors for low-temperature conditioning and x-ray inspection at Naval Surface Warfare Center Indian Head Division. RISOM seeks to maximize the value of motors that complete inspection, while also minimizing their lateness. RISOM is tested using simulated data based on realistic demand projections. Results show that current facility and labor capacity can meet 90% of the simulated demand, but the range of lateness is undesirable. Increasing the x-ray facilities by 50% allows all motors to be scheduled and reduces lateness to a few days. Adding one eight-hour shift reduces lateness to within a month. Combining other labor and facility additions, we reduce lateness to about one day for 90% of the motors.
Distribution Statement A. Approved for public release: Distribution is unlimited.
Civilian, Department of the Navy
NSWC Indian Head Division
manufacturing, mixed integer program, job-shop problem, x-ray, capacity, RISOM, low-temperature conditioning, rocket inspection scheduling optimization model, lateness, job shop, scheduling, inspection, optimization
manufacturing, mixed integer program, job-shop problem, x-ray, capacity, RISOM, low-temperature conditioning, rocket inspection scheduling optimization model, lateness, job shop, scheduling, inspection, optimization
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