Simulation modeling approach for analyzing robotic assembly cells

Abstract

This paper outlines an approach for modeling the work cycle of robotized assembly cells. The approach incorporates an enhanced version of GERT network logic and the computational techniques of a discrete-event simulation program to yield a flexible, resource-based model of cell operations. A hypothetical robotic assembly cell is used to illustrate the model as an aid in cell design. Pre-determined cell performance measures can be used to evaluate a variety of design issues ranging from tooling modifications to different task sequences. To improve the efficiency of the simulation program, the Antithetic Variates variance reduction technique is applied to increase the precision in estimates of performance. For an in-depth description of the modeling approach, its application as an aid in cell design, and the improved precision achieved by the variance reduction technique, see Cash and Wilhelm (1986).