Using Artificial Neural Networks to model aspects of the project budget where traditional algorithms and formulas are not available or difficult to apply.
The use of the Line of Balance Scheduling Method has been increasing, especially on the construction industry companies of Brazil, Finland and Australia. The method addresses to the particularities of construction projects more effectively than the Critical Path Method does. In order to model the schedule, the paper demonstrates the “start-finish” relation and its contributions for the two approaches for the modelling: Network and Linear...
The objective of this paper is to present, discuss and apply the principles and techniques of the Analytic Hierarchy Process (AHP) in the prioritization and selection of projects in a portfolio. AHP is one of the main mathematical models currently available to support the decision theory.
This article aims to discuss the costs and benefits of speed in developing a project plan and proposes a basic process that consists of 10 steps to plan and 10 steps to track a project in a short time. The process aims to simplify and prioritize critical documents to be developed in order to ensure the purpose, scope, deadlines and budgets, as well as direct restrictions of the project to be developed.
The objective of this paper is to present a non conventional approach that is being currently implemented at the United Nations Office for Project Services, when selecting new projects globally, in order to include, as project selection criteria, social, environmental and economic sustainability aspects in humanitarian and development projects.
The objective of this paper is to present, discuss and apply a mathematical model based on the use of Monte Carlo simulation in conjunction with researches on project success/failure rates of projects to develop a 10 step model to calculate the mathematical return on investment (ROI) for the Project Office implementation.
The objective of this paper is to propose a mathematical process to turn the results of a qualitative risk analysis into numeric indicators to support better decisions regarding risk response strategies.
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