Modeling and analysis of a manufacturing simulation process
The purpose of this thesis is to develop an integrated model of a highly complex manufacturing process. The simulation was carried out to implement a re-engineering design problem. The specific company in which the study took place is a medium size company dedicated to the printing solution Industry. The study required a deep analysis of its current manufacturing process to maximize throughput and productivity. The current production layout with cycle time of 42 hours was analyzed and simulated with a variance of 5% in order to propose a set of changes. Research was done to support the decision process concerning the implementation phase of the suggested changes. The mean production rate for the experiment A model was 49,620 units per week with a standard deviation of 1,193, for the experiment B model, the mean was 60,946 units/week with a standard deviation of 1,409. For the experiment C model, the mean was 67,844 units/week with a standard deviation of 4,706; the experiment D model gave a mean of 139,152 units/week with a standard deviation of 8,007. Similarly, twenty-five runs of the simulation model were performed, with a simulation length equal to 168 hours and a warm-up period of 10 hours, reporting a mean production rate of 55,283 units and a standard deviation of 1,301 for the first and a 103,498 mean and a standard deviation of 6,402 for the second experimentation. Based on the positive results obtained from this work, management will now use Arena® as a simulation tool for future investments and/or process modifications in order to avoid delays and economic loses. ^
Engineering, Industrial|Operations Research
Ortega-Corral, Noe, "Modeling and analysis of a manufacturing simulation process" (2006). ETD Collection for University of Texas, El Paso. AAI1436526.