Business Process Analysis and Optimization: Beyond Reengineering

• Published in: IEEE transactions on human-machine systems 2008-01, Vol.38 (1), p.69-82
• Main Authors: Vergidis, K., Tiwari, A., Majeed, B.
• Format: Article
• Language: English
• Subjects: Abundance; Applied sciences; BP analysis; BP modelling; BP optimization; Business; Business communication; Business process (BP); Business process re-engineering; Business process reengineering; business processes; Classification; Competitive intelligence; Computational intelligence; Cybernetics; Exact sciences and technology; Firm modelling; Intelligent systems; Operational research and scientific management; Operational research. Management science; Optimization; Production; Proposals; Quantitative analysis; Reengineering; State of the art; Studies
• ISSN: 1094-6977; 2168-2291; 1558-2442; 2168-2305
• DOI: 10.1109/TSMCC.2007.905812

There is an abundance of business process modeling techniques that capture and address different aspects of a business process. A limited number of these process models allow further quantitative analysis, and only a few enable structured process improvement. This paper reviews and classifies the main techniques for business process modeling with regard to their analysis and optimization capabilities. Three primary groups are identified, and a selection of representative business process modeling techniques is classified based on these. Similar classification is also presented for the analysis and optimization approaches for business processes that were identified in relevant literature. The main contribution of the paper is that it identifies which types of business process models are suitable for analysis and optimization, and also highlights the lack of such approaches. This paper offers a state-of-the-art review in the areas of business process modeling, analysis, and optimization-underlining that the latter two have not received enough coverage and support in the literature.