Budget overruns are typical for all industries, especially for those dealing with complex, non-repetitive projects. Control over projects is often lost because the most popular project control tools simplify the control issue to the extent that vital steering parameters are lost or missed. A probabilistic forecasting tool like the Range Forecasting Method (RFM) can help address uncertainty and reduce extra costs.
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Large infrastructure project teams continuously struggle to manage several issues posed by the volatile environment of projects. It's time to develop a holistic and dynamic project planning and monitoring tool for the effective management of ever-changing project requirements and environments.
Being a project manager may not be flashy and inspire flowing-cape theatrics, but there are quiet ways in which you can work behind the scenes to ensure that everyone becomes the hero when your projects are completed on time, within budget and to everyone’s satisfaction.
The alternative to embracing change doesn’t have to be completely rejecting it. Are there ways we can introduce more flexibility to waterfall projects without losing control of change? Can traditional project execution approaches learn anything from the agile approach to change?
Do you deliver Project Management as a Service? That doesn’t mean outsourcing your PM to a consultancy, but changing the way you think about project management and your customers--they are clients of the project management processes that you provide.
The latest in the ongoing series of articles helping you get “PMP fit” explores the often avoided Project Cost Management knowledge area. To paraphrase a well-known company, just get at it. When you have read this article and completed your studying, you may well be asking yourself why you were so concerned about it…
One measure of project success hinges on the ability of the estimator to predict the right schedule and budget, since projects that go over budget or fall behind are deemed failures. This article looks at the factors behind the difficulty of getting good estimates and suggests a combination of psychology (soft skills) and science (robust estimation software) to increase project success rates.
Contingency covers costs that are reasonably expected to occur but are not specifically known on a given project. Keeping estimates of contingency up-to-date and relevant to the current environment and phase of the project in real time can be a challenge. Through the use of a project information database, application of a PMO reserve, and the use of iterative risk planning, the authors offer a solution to this problem.
Projects are financial and strategic investments that exist to deliver value. Cash flow modeling is an essential step to produce return on investment (ROI) financial measurements that support the project selection process. The author poses six key questions project managers should ask at the onset of the process to produce an accurate financial representation of the project and enable value creation.
The author presents an approach for using a rate to monitor projects, based on the re-evaluation of two key concepts, work total, and the rate per unit of work. By periodically recalculating and updating rate values, considering the comparison of the actual work vs. the planned work, the project manager may develop reliable databases for use in future evaluations and follow-up projects.