The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Business Process Analysis and Optimization: Beyond Reengineering
Abstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Reengineering the corporation: A manifesto for business revolution
Hammer, M., & Champy, J. (1993) · Business Horizons · doi:10.1016/s0007-6813(05)80064-3 · Cited by 6,455
Process innovation: reengineering work through information technology
(1993) · Choice Reviews Online · doi:10.5860/choice.30-4486 · Cited by 4,378
THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT
van der Aalst, W. M. P. (1998) · Journal of Circuits Systems and Computers · doi:10.1142/s0218126698000043 · Cited by 2,716
Evolutionary computation: Comments on the history and current state
Back, T., Hammel, U., & Schwefel, H.-P. (1997) · IEEE Transactions on Evolutionary Computation · doi:10.1109/4235.585888 · Cited by 1,536 · cited 1×
“One significant advantage lies in the gain of flexibility and adaptability to the task in hand, in combination with robust performance and global search characteristics [4].”
BackgroundBusiness Process Management: A Survey
van der Aalst, W. M. P., ter Hofstede, A. H. M., & Weske, M. (2003) · Lecture notes in computer science · doi:10.1007/3-540-44895-0_1 · Cited by 1,349
Staff scheduling and rostering: A review of applications, methods and models
Ernst, A. T., Jiang, H., Krishnamoorthy, M., & Sier, D. (2004) · European Journal of Operational Research · doi:10.1016/s0377-2217(03)00095-x · Cited by 1,260
Business Process Change: A Study of Methodologies, Techniques, and Tools*
Kettinger, W. J., Teng, J. T. C., & Guha, S. (1997) · MIS Quarterly · doi:10.2307/249742 · Cited by 985
Business process modelling: Review and framework
Aguilar-Savén, R. S. (2004) · International Journal of Production Economics · doi:10.1016/s0925-5273(03)00102-6 · Cited by 921
State-of-the-art review of optimization methods for short-term scheduling of batch processes
Méndez, C. A., Cerdá, J., Grossmann, I. E., Harjunkoski, I., & Fahl, M. (2006) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2006.02.008 · Cited by 809
Reengineering the corporation: A manifesto for business revolution
Gyngell, P. (1994) · The Journal of Strategic Information Systems · doi:10.1016/0963-8687(94)90038-8 · Cited by 720
Cited by
The critical success factors of business process management
Trkman, P. (2010) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2009.07.003 · Cited by 1,016
Metadata
- Authors
- Vergidis, K., Tiwari, A., & Majeed, B.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
- Published
- 2008-01
- Volume
- 38
- Issue
- 1
- Pages
- 69-82
- ISSN
- 1094-6977 (ISSN-L)
- 1558-2442
- OpenAlex
- W2162707313
- Cited by
- 305
- References
- 28
- FWCI
- 18.46
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Business Process Analysis and Optimization: Beyond Reengineering. https://app.cochat.ai/papers/10.1109/tsmcc.2007.905812
- The paper
- Vergidis, K., Tiwari, A., & Majeed, B. (2008). Business Process Analysis and Optimization: Beyond Reengineering. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). https://doi.org/10.1109/tsmcc.2007.905812
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.