Decision support system architecture for consultant selection

Omar, Mohd F., Trigunarsyah, Bambang, & Wong, Johnny (2009) Decision support system architecture for consultant selection. In Abdul Aziz, Abdul Rashid (Ed.) Proceedings of the International Symposium on Construction in Developing Economies: Commonalities Among Diversities, Universiti Sains Malaysia/CIB, Penang, Malaysia, pp. 311-320.


Decision Support System (DSS) has played a significant role in construction project management. This has been proven that a lot of DSS systems have been implemented throughout the whole construction project life cycle. However, most research only concentrated in model development and left few fundamental aspects in Information System development. As a result, the output of researches are complicated to be adopted by lay person particularly those whom come from a non-technical background. Hence, a DSS should hide the abstraction and complexity of DSS models by providing a more useful system which incorporated user oriented system. To demonstrate a desirable architecture of DSS particularly in public sector planning, we aim to propose a generic DSS framework for consultant selection. It will focus on the engagement of engineering consultant for irrigation and drainage infrastructure. The DSS framework comprise from operational decision to strategic decision level. The expected result of the research will provide a robust framework of DSS for consultant selection. In addition, the paper also discussed other issues that related to the existing DSS framework by integrating enabling technologies from computing. This paper is based on the preliminary case study conducted via literature review and archival documents at Department of Irrigation and Drainage (DID) Malaysia. The paper will directly affect to the enhancement of consultant pre-qualification assessment and selection tools. By the introduction of DSS in this area, the selection process will be more efficient in time, intuitively aided qualitative judgment, and transparent decision through aggregation of decision among stakeholders.

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ID Code: 28031
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: Decision Support System, Requirement Elicitation, System Architecture
ISBN: 9789675417344
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Decision Support and Group Support Systems (080605)
Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000) > BUILDING (120200) > Building Construction Management and Project Planning (120201)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Urban Development
Copyright Owner: Copyright 2009 Conseil International du Bâtiment (CIB)/International Council for Research and Innovation in Building And Construction
Deposited On: 19 Oct 2009 22:52
Last Modified: 29 Feb 2012 14:06

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