@article{irizarry_wilson_trevino_2001, title={A flexible simulation tool for manufacturing-cell design, I: model structure, operation, and case study}, volume={33}, ISSN={["0740-817X"]}, DOI={10.1023/A:1010966420792}, abstractNote={We present a general manufacturing-cell simulation model for evaluating the effects of world-class manufacturing practices on expected cell performance. The modular structure of the simulation provides the flexibility to analyze a wide variety of manufacturing cells. We formulate a comprehensive annualized cost function for evaluation and comparison of alternative cell configurations. A case study involving assembly of printed circuit boards illustrates the potential benefits of using this tool for cell design and analysis. The simulation model is intended for use in a two-phase approach to cell design that is based on simulated experimentation and response surface analysis as detailed in a companion paper.}, number={10}, journal={IIE TRANSACTIONS}, author={Irizarry, MDA and Wilson, JR and Trevino, J}, year={2001}, month={Oct}, pages={827–836} }
 @article{irizarry_wilson_trevino_2001, title={A flexible simulation tool for manufacturing-cell design, II: response surface analysis and case study}, volume={33}, ISSN={["0740-817X"]}, DOI={10.1023/A:1010970504862}, abstractNote={We present a two-phase approach to design and analysis of manufacturing cells based on simulated experimentation and response surface methodology using a general manufacturing-cell simulation model. The first phase involves factor-screening simulation experiments to identify design and operational factors that have a significant effect on cell performance as measured by a comprehensive annual cost function. In the second phase of experimentation, we construct simulation (response surface) metamodels to describe the relationship between the significant cell design and operational factors (the controllable input parameters) and the resulting simulation-based estimate of expected annual cell cost (the output response). We use canonical and ridge analyses of the estimated response surface to estimate the levels of the quantitative input factors that minimize the cell's expected annual cost. We apply this methodology to an assembly cell for printed circuit boards. Compared to the current cell operating policy, the simulation metamodel-based estimate of the optimum operating policy is predicted to yield average annual savings of approximately $425 000, which is a 20% reduction in annual cost. In a companion paper, we detail the structure and operation of the manufacturing-cell simulation model.}, number={10}, journal={IIE TRANSACTIONS}, author={Irizarry, MDA and Wilson, JR and Trevino, J}, year={2001}, month={Oct}, pages={837–846} }