Fundamentals Of Engineering Economics And Decision Analysis

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Fundamentals of Engineering Economics and Decision Analysis

Fundamentals of Engineering Economics and Decision Analysis
Author :
Publisher : Morgan & Claypool Publishers
Total Pages : 221
Release :
ISBN-10 : 9781608458653
ISBN-13 : 1608458652
Rating : 4/5 (652 Downloads)

Book Synopsis Fundamentals of Engineering Economics and Decision Analysis by : David Whitman

Download or read book Fundamentals of Engineering Economics and Decision Analysis written by David Whitman and published by Morgan & Claypool Publishers. This book was released on 2012-04-27 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors cover two general topics: basic engineering economics and risk analysis in this text. Within the topic of engineering economics are discussions on the time value of money and interest relationships. These interest relationships are used to define certain project criteria that are used by engineers and project managers to select the best economic choice among several alternatives. Projects examined will include both income- and service-producing investments. The effects of escalation, inflation, and taxes on the economic analysis of alternatives are discussed. Risk analysis incorporates the concepts of probability and statistics in the evaluation of alternatives. This allows management to determine the probability of success or failure of the project. Two types of sensitivity analyses are presented. The first is referred to as the range approach while the second uses probabilistic concepts to determine a measure of the risk involved. The authors have designed the text to assist individuals to prepare to successfully complete the economics portions of the Fundamentals of Engineering Exam. Table of Contents: Introduction / Interest and the Time Value of Money / Project Evaluation Methods / Service Producing Investments / Income Producing Investments / Determination of Project Cash Flow / Financial Leverage / Basic Statistics and Probability / Sensitivity Analysis


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