Business Rules Management: Implementation and Evaluation

55 Pages Posted: 19 Jun 2013

See all articles by Wayne Huang

Wayne Huang

Stevens Institute of Technology - School of Business

Edward A. Stohr

Stevens Institute of Technology - School of Business

Multiple version iconThere are 2 versions of this paper

Date Written: June 18, 2013

Abstract

The increasing complexity of information processing places severe constraints on the ability of organizations to respond to the demand for more customized products and services. While new technologies offer faster and more agile development, they do not address the complications arising from ever-changing business requirements. The business rules management (BRM) approach seeks to address this problem. We conducted an in-depth case study of the implementation and use of an innovative database-oriented Business Process Rules Engine (BPRE) for claim handling in a large insurance organization. We designed and tested a new database rule-matching algorithm as an alternative to the popular Rete algorithm that is used in most research and commercial rules engines. Performance tests during the implementation of the system and subsequent implementation experiences, allayed initial fears that a database solution would prove too slow for a demanding production environment.

Suggested Citation

Huang, Wayne and Stohr, Edward A., Business Rules Management: Implementation and Evaluation (June 18, 2013). Howe School Research Paper No. 2013-14. Available at SSRN: https://ssrn.com/abstract=2281481 or http://dx.doi.org/10.2139/ssrn.2281481

Wayne Huang (Contact Author)

Stevens Institute of Technology - School of Business ( email )

Hoboken, NJ 07030
United States

Edward A. Stohr

Stevens Institute of Technology - School of Business ( email )

Hoboken, NJ 07030
United States

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