SME MS00-228:2000

SME MS00-228:2000

A Quality Forecasting System For Glass Melting Processes Using Genetic Algorithms

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Details

To deal with today's frequently changing and complex business processes, this paper presents a structured modeling algorithm for manufacturing enterprise business processes by using CIMOSA behavioral rules and free-choice Petri nets. The well-behaved properties such as liveness and boundedness are critical for enterprise business processes. They enable the avoidance of possible deadlock, endless loops and dangling tasks in process models. However, for complex systems, the checking of the well-behaved property is a NP-hard problem. In this paper, a structured process modeling algorithm is presented. The resulting process models from this algorithm are free-choice Petri nets whose well-behaved property can be decided in polynomial time. The process models resulted from this algorithm also have the advantages of modularity, readability, and maintainability.

Additional Info

Author Society of Manufacturing Engineers
Published by SME
Document type Standard
Theme /subgroups/9450
Number of pages 6
Keyword SME MS00-228