Larry Whitman
Automation & Robotics Research Institute 7900 Jack Newell Blvd. South Fort Worth, TX 76118
Brian Huff
The University of Texas at Arlington IMSE Dept. PO Box 19017 Arlington, TX 76019, U.S.A.
Adrien Presley
Truman State University Division of Business and Accountancy 100 East Normal Kirksville, Missouri 63501, U.S.A.
Abstrakt
The implementation of an intelligent manufacturing system requires a comprehensive understanding of the system and its environment. Modeling and simulation are critical to this understanding. Models are typically developed from one of five perspectives or views. A review of the literature describing different views is presented and a comparison of the views identified is presented. These five views are: business rule, activity, business process, resource, and organization views. The primary concern in this research is the identification of the issues of multiple views of an enterprise or system. Most project managers do not consider the issues pertaining to a multiple view model of a system. These managers develop and even maintain multiple types of models for different purposes. These multiple types of models are generally developed on an ad hoc basis. By understanding the issues relating to maintaining multiple views of an enterprise, the benefits of multiple views can be realized while minimizing its difficulties. Three approaches to multiple views are explained and their relative shortcomings are discussed. Issues related to the inconsistencies encountered in modeling these views will be presented.