Mathematical Algorithms Supporting the Optimization of Topical Aspects of Project Management

Author:

Pezeshki Zahra1ORCID,Krinitsky Eugene1,Hosseini M. Reza2,Martek Igor3,Mazinani Sayyed Majid4

Affiliation:

1. Heat and Mass Transfer Department, Moscow Power Engineering Institute (Technical University), Moscow, Russia

2. University of Melbourne, Melbourne, Australia

3. Faculty of Science Engineering and Built Environment, Deakin University, Victoria, Australia

4. Faculty of Engineering, Imam Reza International University, Mashhad, Iran

Abstract

Project management is a highly sophisticated undertaking requiring the synthesis of various interconnected functions, processes, and activities. Numerous risks and uncertainties are inherent to all these inputs. Consequently, successful project management entails the optimization of the complete project as a system. In order to achieve this result, however, the various system subsets to the project must themselves be optimized. Given the current complexity of projects, optimization cannot be adequately undertaken by intuitive judgment alone. Philosophically, optimization is a mathematical concept, and mathematical algorithms are available to identify ideal operating parameters for any given problem. This chapter samples a range of features inherent to project management operations and presents mathematical algorithms that deliver optimal solution sets. The material is collated from literature and adapted to the project management context.

Publisher

IGI Global

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