Optimal Allocation and Statistical Control of Assembly Processes
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH
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An analytic procedure was developed to predict the expected proportion of defectives produced, using a specified set of fabrication and assembly processes. This procedure was demonstrated for a General assembly process, a Peg-in-Hole assembly process and a Box-and-Cover assembly process. This procedure was compared to the formulation of a Monte Carlo simulation model and shown to require the same initial information. Two applications of the results of this procedure were developed. The first was an optimization model used to allocate a fixed amount of capital improvements to a discrete number of possible candidate assembly processes. The second was to statistically control an assembly process using a p Chart. A numerical example illustrating the procedure and its applications was also presented. Keywords Theses Computer program Numerical analysis.
- Statistics and Probability
- Manufacturing and Industrial Engineering and Control of Production Systems