| Abstract: | This research focuses on knowledge-based simulation modeling for process redesign. Though the proposed technique can be utilized for ‘starting with a clean slate’, it is particularly well suited for situations where an existing process is already documented, and an attempt is being made to improve or redesign this process. We present a methodology that utilizes the basic process structure (represented in a matrix form), and using a rule-based knowledge acquisition system, interacts with the analyst to construct the process knowledge base. Once all the knowledge has been acquired, the system automatically generates an executable simulation model. Major benefits of this algorithmic approach include (1) reduced model building time, (2) increased analyst productivity, and (3) the assurance that basic process characteristics are not accidentally omitted in the simulation model. To test the validity and applicability of the proposed technique a prototype system has been developed that generates simulation programs in SLAM.© 1997 John Wiley & Sons, Ltd. |
