Abstract
The foundation for process evolution research is the modelling of process structural complexity. With such a model, process systems can be directed toward acquiring good maintainability attributes according to the principles of engineering. In this paper a process management (PM) model is developed to acquire directly from the target process codes the knowledge hidden among and within components of process systems. With the knowledge acquired by the PM model, process structural complexity measures in terms of partitioning, restructuring and rewriting criteria are developed; a systematic process remodularization schema is derived, and algorithms for scheduling process changes are presented. These criteria and mechanisms are used to guide the process production chain.
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Sobrinho, F.G. Complexity Measures for Process Evolution. Journal of Systems Integration 9, 141–165 (1999). https://doi.org/10.1023/A:1008470510343
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DOI: https://doi.org/10.1023/A:1008470510343