Description
Engineering Managerial Economic Decision and Risk Analysis, 1st ed. 2022
Economic Decision-Making and Risk Analysis
Topics in Safety, Risk, Reliability and Quality Series, Vol. 39
Author: Cotter Teddy Steven
Language: EnglishSubjects for Engineering Managerial Economic Decision and Risk Analysis:
Approximative price 63.29 €
In Print (Delivery period: 15 days).
Add to cart the book of Cotter Teddy StevenPublication date: 11-2022
490 p. · 15.5x23.5 cm · Paperback
Publication date: 11-2021
490 p. · 15.5x23.5 cm · Hardback
Description
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This book directs the engineering manager or the undergraduate student preparing to become an engineering manager, who is or will become actively engaged in the management of economic-risk trade-off decisions for engineering investments within an organizational system. In today?s global economy, this may mean managing the economic risks of engineering investments across national boundaries in international organizations, government, or service organizations. As such, this is an applied book. The book?s goal is to provide an easy to understand, up to date, and coherent treatment of the management of the economic-risk trade-offs of engineering investments. This book accomplishes this goal by cumulatively sequencing knowledge content from foundational economic and accounting concepts to cost estimating to the traditional engineering economics knowledge culminating in fundamental engineering managerial economic decision-making incorporating risk into engineering management economic decisions.
T. Steven Cotter (B.S., MBA, M.S., Ph.D.) is Senior Lecturer with the Engineering Management and Systems Engineering department at Old Dominion University. He is Certified Quality Engineer and Certified Reliability Engineer with the American Society for Quality. He has 40+ years’ experience in various engineering and management positions in industry and five years’ experience as Adjunct Professor before joining ODU as full-time faculty in 2013. His research specializations include engineering design analytics, AI-human knowledge engineering, AI-human quality and reliability systems, and computational systems statistical engineering.