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...
Measuring instrument precision/repeatability is one variance component in a measurement system. Assessing measuring instrument precision is necessary to evaluate its capability for a particular application. Well-known approaches for assessing precision/repeatability rely on repeated measurements of items. However, a destructive measurement destroys measured items, so that repeated measurements are not possible....
In discrete event simulation, probability distributions are used as models of various unpredictable system components. The times between equipment failures and job processing times are examples of such random system components. The commonly recommended and taught practice for selecting a probability distribution to represent a random component is a multistep...
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...
The variability introduced into measurements by a measuring instrument is referred to as measurement instrument precision. Experimental procedures and analysis methods exist when measurements are repeatable and can be repeated on the same item. However, when the measurements are destructive and repeated measurements are not possible, estimating measuring instrument precision...
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...
:
_____________________________________________________________________
DavidS. Kim, Mentor, representing School of Mechanical, Industrial, and Manufacturing
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...
In this research, an analytical model for analyzing a production line consisting of a series
of automated workstations with infinite buffers is developed. Automated workstations are
assumed to have deterministic processing times, and independent exponentially
distributed operating time between failures and repair times. The analytical model starts
with existing results...
The research presented in this dissertation addresses the Multi-Mode Resource-Constrained Project Scheduling Problem (MMRCPSP) in the presence of resource unavailability. This research is motivated by the scheduling of engineering design tasks in automotive product development to minimize the project completion time, but addresses a general scheduling situation that is applicable...