This paper addresses the issues related to the decision processes of manufacturing system simulation. The manufacturing system is perceived in terms of intelligent entities capable of making non-programmed decisions and data driven entities capable of making programmed decisions. The system entities are classified according to the levels of the previously defined modeling formalism. The objective of the study is to investigate the effects of employing multiple layers of nonprogrammed control. An example make-to-order type of manufacturing system is simulated using the developed tool to observe the impacts of different layers on overall performance.
['S. Cem Karacal']
Evaluating embedded decision processes of manufacturing systems through simulation