Creating schedules for the job shop manufacturing system is an extremely difficult task. Although researchers have devoted a lot of attention to generating optimal solutions, these solutions are static, thus they do not update as random events occur that disrupt the system. As smart manufacturing has grown, researchers have been...
Moving mixed-model assembly lines are used by many companies to assemble multiple model types of a particular product. A moving assembly line consists of a material movement system that moves jobs at a constant velocity across a series of workstations. The variation in the work content of jobs at workstations...
The total manufacturing cost for a part is determined by its process plan, and the total cost includes both processing and material handling costs. This research examines the cost impact of assuming an arbitrary layout when evaluating alternative process plans for production in a new facility. A designed experiment was...
In high volume automated discrete item batch production systems, the batches or lots are typically fixed quantity (i.e., size), with setups incurred between the different production lots. Processing times for the fixed-size lots are relatively constant when the workstation is operating however, random workstation disruptions cause variability in the lot...
Monte Carlo simulation is used to quantify and characterize uncertainty in a variety of applications such as financial/engineering economic analysis, and project management. The dependence or correlation between the random variables modeled can also be simulated to add more accuracy to simulations. However, there exists a difference between how correlation...