Decision analysis in project management process

• Autorzy: Kramarenko S. , Shevtshenko E. , Karaulova T. , Wang Y.
• Języki publikacji: EN

Abstrakty

EN

Very often we complain about the decisions that were previously made. Yet the fact is that the decisions made were based on the knowledge we had before. By now we have gained more knowledge. Therefore the common problem of making decisions is that decisions are not made reliable enough because parameters in risk assessment and supply chain management are underestimated or not robust enough. In this paper we propose a framework that will try to predict future situations collectively and increase the reliability of decision making. Project management is the art of making right decision. Project managers are faced by huge array of choices. Decision analysis is used in strategic planning, operational management, and other areas of business. Decision analysis helps companies to determine optimal exploration and production strategies with uncertainties in cost, prices, and exploration prospects. This paper describes project management steps and the way they can be supported by Intelligent Decision Support system (IDSS). The main parameters assessed are total cost of the projects, time of the project total fulfilment, number of subcontractors, location factors, and etc. IDSS will enable to collect data, propose possible alternative decisions, and provide risk assessment.

Słowa kluczowe

EN

intelligent decision support system; project management; decision analysis

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2008
• Tom: Vol. 8, No. 1
• Strony: 104--113
• Opis fizyczny: Bibliogr. 11 poz., rys.

Twórcy

autor

Kramarenko S.

• Tallinn Technical University, Ehitajate tee 5, 19086, Tallinn, Estonia

autor

Shevtshenko E.

• Tallinn Technical University, Ehitajate tee 5, 19086, Tallinn, Estonia

autor

Karaulova T.

• Tallinn Technical University, Ehitajate tee 5, 19086, Tallinn, Estonia

autor

Wang Y.

• University of Central Florida, Orlando, FL 32816, USA

Bibliografia

• [1] CLELAND D., Project Management: Strategic Design and Implementation, McGraw-Hill Professional, ISBN 007147I60X. 2006.
• [2] POWERS G., DOLHAN G., RUWANPURA J,. CHU M., Simulation Bused Project Selection Decision Analysis Tool, Proceedings of the 2002 Winter Simulation Conference E. Yucesan, C.-H. Chen, J. L. Snowdon, and J. M, Chames, eds. 2002.
• [3] VIRINE L., TRUMPER M., Project Decision Analysis Process, Intaver Institute Library http://www.projectdecisions.org/index-whitepapers.html. 20.01.2008.
• [4] DUNCAN W., A Guide to the Project Management Body of Knowledge (PMBOK Guides), ISBN 978- 1930699458, Project Management Institute. 2004.
• [5] MARAKAS G., Decision Support Systems in the 21th Century, Prentice Hall. 2003.
• [6] BADIRU, ADEDEJI BODUNDE., Managing Industrial Development Projects - A Project Management Approach, Springer - Verlag, 1993.
• [7] KRAMARENKO S., SHEVTSENKO E., KARAULOVA T., IDSS as a Tool for Project Management in a Collaborative Network of SME-s, Journal of Machine Engineering, Vol.7 No.2, 2007, ISSN 1895-7595, 2007. 96-104.
• [8] SALVENDY G., Handbook of Industrial Engineering: Technology and Operation Management, A Wiley- Interscience Publication JOHN WILEY & SONS, INC., New York, ISBN 0-471-33057-4. 2001.
• [9] SHEVTSENKO E., Intelligent decision support system for collaborative SME-s, Dr. thesis, Tallinn University of Technology, ISBN 978-9985-59-754-5. 2007.
• [10] KAMAL M. AL-SUBHI AL-HARBI., Application of the AHP in project management. Int.J.of Proj.Mgmt. 2001.
• [11] MORRIS P., PINTO J., Guide to managing projects, Wiley. 2004.