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Selection of Business Process Alternatives Based on Operational Similarity for Multi-subsidiary Organizations
Avi Wasser and Maya Lincoln
University of Haifa, Israelawasser@haifa.ac.il
mlincoln@haifa.ac.il
Abstract. This work suggests a method for machine-assisted support for multi-subsidiary organizations in selecting business process alternatives, based on operational similarity. Operational similarity between processes can be derived from process repositories using a linguistic analysis of process descriptors. The suggested method aims to assist operation managers in multi-subsidiary organizations in identifying similar processes, that can substitute processes that cannot be carried out within a certain subsidiary. This decision making is based on knowledge that is encapsulated within existing business process repositories. The method is demonstrated using a real-life process repository from the paper manufacturing industry.
Keywords: Business process decisions, Process similarity, Multi- subsidiary organizations, Business process repositories, Semantic analysis, Process ontologies, Natural language processing
LNCS 8186, p. 579 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2013