Decision-Making over the Project Life Cycle: An Analytical Hierarchy Approach

1999 ◽  
Vol 30 (1) ◽  
pp. 40-52 ◽  
Author(s):  
Sarfraz A. Mian ◽  
Christine Xiaoyi Dai
2002 ◽  
Vol 33 (4) ◽  
pp. 23-38 ◽  
Author(s):  
Hemanta Kumar Doloi ◽  
Ali Jaafari

This paper argues that process simulation technology is an added facility in the quest for optimizing project decisions based on market and external uncertainties associated with the project's environment. The authors put forward a dynamic simulation modeling system (DSMS) as a tool for proactive and optimal decision-making in the project life cycle. DSMS is geared toward representing generic processes with a hierarchical and modular model structure. DSMS facilitates the optimization of technical and operational functionality during development and operation phases of projects. Project life-cycle objective functions are the basis for decision-making throughout the project's life. The paper reviews the limitations of the current systems’ ranges and capabilities. A review of the existing simulation techniques leads to a discussion on the need for setting up an integrated model to encompass the entire project life cycle. Details of the system are described, and a case study is used to demonstrate its capabilities.


2015 ◽  
Vol 67 (1) ◽  
pp. 191-194 ◽  
Author(s):  
Zobia Rehman ◽  
Claudiu V. Kifor

Abstract This article explains the application of knowledge management for project risk management in industry. Combination of knowledge management and risk management is becoming a dire need for industries nowadays, because it has become necessary to make information reach timely to its destined users to achieve the desired goals. Quick decisions are needed throughout a project life cycle to mitigate or avoid a risk, but they are only possible when knowledge about it is in hand and can be inferred for fruitful decisions. Quality engineers make huge effort in analyzing and mitigating the risk and prepare various documents about different risk management stages. But this knowledge resides in documents or underutilized databases without any relation to each other that makes it useless for complex decision making. This article shall explain how knowledge management activities are helpful in risk management and the advantages of their fusion. It will also present a conceptual architecture of an Information Technology based solution for risk management and knowledge management combination.


2001 ◽  
Vol 14 (5/6) ◽  
pp. 303-318 ◽  
Author(s):  
Graham J. Treloar ◽  
Peter E.D. Love ◽  
Olusegun O. Faniran

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