Project Knowledge Management [electronic resource] : Systematic Learning with the Project Comparison Technique /
Wasielewski, Erwin.author.
This is the first English book on Project Comparison Technique, i.e. comparative project prognoses, project theory, project evaluation, and project benchmarking in all branches. It facilitates the first steps towards project comparisons for project management experts and scientists, details possible approaches and relates real-world experiences. While readers are assumed to have some knowledge of project management, the mathematical and statistical aspects are explained. For the first time in the history of project management we show that the efficiency of project realizations can be evaluated objectively and numerically in detail and as a whole, and how to do so. We lay out the first comprehensive, scientifically founded characteristics system for projects, formulate the first mathematical project model, demonstrate the usefulness of the characteristics system with authentic projects, and show how to handle the new tools and how to present them in tables and diagrams.
Description based upon print version of record.
Includes bibliographical references (p. 161-165)and index.
Theory -- Breakdown of Project Objective -- Partial Comparison -- to Terminology -- Total Comparison -- Comparison Typology -- Correction for Cost, Price, and Working-Time Index -- Mathematical Issues of Partial Comparisons -- Application -- 177 Projects as an Example -- Collecting, Keeping, and Processing Data -- Total Comparison of all 177 Projects -- Utilization -- Presenting Comparison Results -- Application Issues -- Specialized Prognosis Methods for some Base-Goals -- A Software Tool for Simple Project Comparisons -- Approaching Success Characteristics.
This is the first English book on Project Comparison Technique, i.e. comparative project prognoses, project theory, project evaluation, and project benchmarking in all branches. It facilitates the first steps towards project comparisons for project management experts and scientists, details possible approaches and relates real-world experiences. While readers are assumed to have some knowledge of project management, the mathematical and statistical aspects are explained. For the first time in the history of project management we show that the efficiency of project realizations can be evaluated objectively and numerically in detail and as a whole, and how to do so. We lay out the first comprehensive, scientifically founded characteristics system for projects, formulate the first mathematical project model, demonstrate the usefulness of the characteristics system with authentic projects, and show how to handle the new tools and how to present them in tables and diagrams.
Project management.
Organization.
Planning.
Project Management.
Organization.