Title :
Optimal use of budget reserves to minimize technical and management failure risks during complex project development
Author :
Dillon, Robin L. ; Paté-Cornell, M. Elisabeth ; Guikema, Seth D.
Author_Institution :
McDonough Sch. of Bus., Georgetown Univ., Washington, DC, USA
Abstract :
Project managers are recognizing that adequate resource reserves are a critical success factor in a project development environment that is complex and uncertain. Yet, justifying the need for project reserves is still a challenge, as is the optimal allocation of any available resources to minimize development uncertainties. This paper presents a multiperiod decision model designed to support the management of reserves considering the risks of failures including technical, managerial, i.e., exceeding budget and schedule, or strategic, i.e., meeting budget, schedule, and technical specifications but not achieving the full strategic value of the project. In this paper, we examine the tradeoffs among these risks and their implications for resource allocation during a project´s development phase. This decision support model is referred to as Dynamic Advanced Probabilistic Risk Analysis Model. It provides decision makers with a quantitative tool to allocate reserves (beyond the bare-bone minimum project costs) among project reserves, technical reinforcements of the engineered system, and product enhancements, with the advantage of flexibility over time. The model yields first, coarse estimates of the value of deferring some commitments about the product´s design until critical uncertainties are resolved and second, an estimate of the optimal amount to be invested in testing and reviews. We show that the greater the uncertainties at the onset of the development phase, the greater the value of this information.
Keywords :
decision making; decision support systems; optimisation; product design; project management; resource allocation; risk analysis; budget reserve; complex project development; decision maker; decision support model; dynamic advanced probabilistic risk analysis; failure risk; optimal resource allocation; optimization; product design; project management; risk management; strategic value; technical specification; tradeoff; Costs; Environmental management; Financial management; Project management; Resource management; Risk analysis; Risk management; Systems engineering and theory; Uncertainty; Yield estimation; Budget reserves; decision analysis; project management; resource optimization; risk management;
Journal_Title :
Engineering Management, IEEE Transactions on
DOI :
10.1109/TEM.2005.850733