Performance evaluation of manufacturing systems

Abstract

Evaluating a manufacturing system consists of providing some information about its behavior, the most important information being the productivity of the system. According to the approach adopted in Chapter 2, we consider the cyclic production case and the general case separately. Within these two parts of the study, we will consider the deterministic case and the stochastic case. As the reader will see, the most important results are in the deterministic cyclic production case. We propose also an efficient approach for evaluating the productivity in the stochastic cyclic production case. The general case is more difficult to treat. Nevertheless, we propose a simple way to evaluate the system, assuming that the control is chosen and that the modules composing the system have been chosen in an adequate manner.