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Book details
  • Genre:TECHNOLOGY & ENGINEERING
  • SubGenre:Project Management
  • Language:English
  • Pages:108
  • Format:Hardcover
  • eBook ISBN:9781667852720
  • Hardcover ISBN:9781667852713

The Economics of Engineering Project Management

by Neil G. Siegel

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Overview
The Economics of Engineering Project Management is a practical, step-by-step guide to understanding and managing the financial and economic aspects of an engineering project. This is a companion book to the same author's Engineering Project Management textbook. Both books are based on many years of research, and decades of actual, hands-on experience in successfully managing complex engineering projects. This book starts by introducing just those aspects of the field of economics that an engineering project manager needs to know. It then lists and explains all of the actual financial and economic metrics that your company and your management will expect to you collect, assess, and report. It also provides detailed guidance about how to avoid common errors of validity in the collection and analysis of these data. Neil G. Siegel, Ph.D., spent many years managing engineering projects, large and small. After retiring as sector Vice-President & Chief Technology officer of the Northrop Grumman Corporation, he is at present the IBM Professor of Engineering Management at the University of Southern California.
Description
The Economics of Engineering Project Management is a practical, step-by-step guide to understanding and managing the financial and economic aspects of an engineering project. This is a companion book to the same author's Engineering Project Management textbook. Both books are based on many years of research, and decades of actual, hands-on experience in successfully managing complex engineering projects. This book starts by introducing just those aspects of the field of economics that an engineering project manager needs to know. It then lists and explains all of the actual financial and economic metrics that your company and your management will expect to you collect, assess, and report. It also provides detailed guidance about how to avoid common errors of validity in the collection and analysis of these data. Neil G. Siegel, Ph.D., spent many years managing engineering projects, large and small. After retiring as sector Vice-President & Chief Technology officer of the Northrop Grumman Corporation, he is at present the IBM Professor of Engineering Management at the University of Southern California.
About the author
Dr. Neil Siegel is the IBM Professor of Engineering Management in the department of industrial and systems engineering, at the USC Viterbi school of engineering. He was formerly the vice-president and chief technology officer of Northrop Grumman's Information Systems and Mission Systems sectors, and vice-president and general manager of the company's Tactical Systems Division. His honors include election to the National Academy of Engineering, election to the National Academy of Inventors, winning the IEEE Simon Ramo Medal, winning the TRW Chairman's Award for Innovation 3 times, and selection as a fellow of 4 professional societies, among many others. He holds nearly 50 issued patents worldwide. In addition to this book, he is the author of a book on Engineering Project Management, and of many other professional publications.
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