FEATURED PAPER

Project Nonlinear Scaling and Transformation
Methodology and TRANSCALE Tool

By Pavel Barseghyan, PhD

Abstract

Statistics show that the percentage of failed projects is still at unacceptably high levels, which leads to colossal financial losses. One of the main reasons for this state of affairs is the low accuracy of estimates of the project during its planning and execution.

In turn, the low accuracy of estimates of parameters of the project is explained by the lack of a consistent quantitative theory of projects. This state of affairs calls for a radical improvement in the quality of new generation methodologies and tools in project management.

The comprehensive solution to this problem requires the development of new theoretical concepts and quantitative theories in the field of project management, following the experience of physics, mathematics, biology, and other generally accepted quantitative sciences.

Such theories in the field of quantitative project management could form the basis for a new generation of methodologies and tools for planning and execution of projects.

If we carefully analyze the background and reasons behind successful tools in various fields of human activity (aircraft, chip design, and others), it is easy to see that the basis of universally recognized successful tools are fundamental quantitative theories.

Outstanding examples of the above serve the simulation tools of electronic circuits based on Kirchhoff’s Laws and tools for the synthesis of logic circuits based on Boolean algebra.

As is known, such universally quantified theories of project management are simply not available, increasing the vulnerability that estimation tools are developed in this area on the shaky foundations of statistical estimates of the parameters of projects.

The goal of this paper is to partially fill this gap by developing tools of project management of a new generation, designed for nonlinear scaling and transformation of projects.

The new tool TRANSCALE is based on the quantitative theory of the projects, published in [1] and [5].

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About the Author Pavel Barseghyan, PhD Author Dr. Pavel Barseghyan is a consultant in the field of quantitative project management, project data mining and organizational science. He is the founder of Systemic PM, LLC, a project management company. Has over 40 years experience in academia, the electronics industry, the EDA industry and Project Management Research and tools development. During the period of 1999-2010 he was the Vice President of Research for Numetrics Management Systems. Prior to joining Numetrics, Dr. Barseghyan worked as an R&D manager at Infinite Technology Corp. in Texas. He was also a founder and the president of an EDA start-up company, DAN Technologies, Ltd. that focused on high-level chip design planning and RTL structural floor planning technologies. Before joining ITC, Dr. Barseghyan was head of the Electronic Design and CAD department at the State Engineering University of Armenia, focusing on development of the Theory of Massively Interconnected Systems and its applications to electronic design. During the period of 1975-1990, he was also a member of the University Educational Policy Commission for Electronic Design and CAD Direction in the Higher Education Ministry of the former USSR. Earlier in his career he was a senior researcher in Yerevan Research and Development Institute of Mathematical Machines (Armenia). He is an author of nine monographs and textbooks and more than 100 scientific articles in the area of quantitative project management, mathematical theory of human work, electronic design and EDA methodologies, and tools development. More than 10 Ph.D. degrees have been awarded under his supervision. Dr. Barseghyan holds an MS in Electrical Engineering (1967) and Ph.D. (1972) and Doctor of Technical Sciences (1990) in Computer Engineering from Yerevan Polytechnic Institute (Armenia). Pavel can be contacted at pavel@systemicpm.com.