RASPE – Risk Advisory Smart System for Pipeline Projects in Egypt

Authors: Nael Y. Zabel, Maged E. Georgy, Moheeb E. Ibrahim

Abstract:

A knowledge-based expert system with the acronym RASPE is developed as an application tool to help decision makers in construction companies make informed decisions about managing risks in pipeline construction projects. Choosing to use expert systems from all available artificial intelligence techniques is due to the fact that an expert system is more suited to representing a domain’s knowledge and the reasoning behind domain-specific decisions. The knowledge-based expert system can capture the knowledge in the form of conditional rules which represent various project scenarios and potential risk mitigation/response actions. The built knowledge in RASPE is utilized through the underlying inference engine that allows the firing of rules relevant to a project scenario into consideration. Paper provides an overview of the knowledge acquisition process and goes about describing the knowledge structure which is divided up into four major modules. The paper shows one module in full detail for illustration purposes and concludes with insightful remarks.

Keywords: Expert System, Knowledge Management, Pipeline Projects, Risk Mismanagement.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1338128

References:

[1] N. Y. Zabel, M. E. Georgy, and M. E. Ibrahim, “Developing a Dynamic Risk Map (DRM) for Pipeline Construction Projects in Middle East”, in 8th International Conference on Risk Analysis and Hazard Mitigation, Brebbia, C. (ed.), 175-187, Wessex Institute of Technology, UK 2012.
[2] M. E. Georgy, N. Y. Zabel, and M. E. Ibrahim, “A balanced risk treatment for construction projects.” In 7th International Conference for Structural Engineering and Construction, Honolulu, USA, 2013.
[3] N. Y. Zabel. "Risk Management of Pipeline Infrastructure Projects in Egypt ", MSc. Thesis, Faculty of Engineering, Cairo University, Giza, Egypt, 2007.
[4] L. K. Kaetzel, “Highway Concrete (Hwycon) Expert System in the Classroom” in Third Annual Undergraduate Faculty Enhancement Symposium on Teaching the Materials Science, Engineering, and Field Aspects of Concrete, Cincinnati, Illinois, US, 1995.
[5] D. Merritt, “Building Expert Systems in Prolog,” Amazi.inc, 5861 Greentree Road Lebanon, OH 45036 U.S., 2000.
[6] Y. F. Bazan, "An Expert System For Material Claims Guidance", Doctor of Philosophy Thesis, Structural Engineering Department, The Cairo University In Giza, Egypt, 2001.