Job-shop layout analysis via computer simulation

Abstract

In this paper, the applications of computer simulation and statistically designed experiments are presented as a means to diagnostically evaluate and design more efficient, layouts for manufacturing job-shops. The simulation model is defined and driven based entirely on actual operating data, shop procedures and the physical configuration of the shop. Utilizing the flexibility and realism of a simulation model, layout analysis is conducted to evaluate the effects of changes in material handling methods, in-process storage locations and various operating procedures on shop floor congestion and job throughput. An experimental design is used to allow statistical comparison of the results in the light of the variability of the entire shop system and a predictive model for mean job flow time is developed using multiple regression analysis. The results show than an improved layout and better operating procedures can eliminate the need for additional capital investment and work force expenses, yet still provide improvements in the overall productivity of the shop.