Cost Estimation: Methods and Tools

Front Cover
John Wiley & Sons, May 4, 2015 - Business & Economics - 352 pages

Presents an accessible approach to the cost estimation tools, concepts, and techniques needed to support analytical and cost decisions

Written with an easy-to-understand approach, Cost Estimation: Methods and Tools provides comprehensive coverage of the quantitative techniques needed by professional cost estimators and for those wanting to learn about this vibrant career field. Featuring the underlying mathematical and analytical principles of cost estimation, the book focuses on the tools and methods used to predict the research and development, production, and operating and support costs for successful cost estimation in industrial, business, and manufacturing processes.

The book begins with a detailed historical perspective and key terms of the cost estimating field in order to develop the necessary background prior to implementing the presented quantitative methods. The book proceeds to fundamental cost estimation methods utilized in the field of cost estimation, including working with inflation indices, regression analysis, learning curves, analogies, cost factors, and wrap rates. With a step-by-step introduction to the practicality of cost estimation and the available resources for obtaining relevant data, Cost Estimation: Methods and Tools also features:

  • Various cost estimating tools, concepts, and techniques needed to support business decisions
  • Multiple questions at the end of each chapter to help readers obtain a deeper understanding of the discussed methods and techniques
  • An overview of the software used in cost estimation, as well as an introduction to the application of risk and uncertainty analysis
  • A Foreword from Dr. Douglas A. Brook, a professor in the Graduate School of Business and Public Policy at the Naval Postgraduate School, who spent many years working in the Department of Defense acquisition environment

Cost Estimation: Methods and Tools is an excellent reference for academics and practitioners in decision science, operations research, operations management, business, and systems and industrial engineering, as well as a useful guide in support of professional cost estimation training and certification courses for practitioners. The book is also appropriate for graduate-level courses in operations research, operations management, engineering economics, and manufacturing and/or production processes.

 

Contents

Reflections on Cost
1
Introduction to Cost Estimating
11
NonDoD Acquisition and the Cost
32
5
33
7
52
DATA SOURCES
61
4
65
Data Normalization
78
linear regression between the two highly correlated independent variables In this case
194
Cumulative Average
204
Production
218
Wrap Rates and StepDown Functions
231
Intercept
239
Cost Factors and the Analogy
242
Software Cost Estimation
257
Cost Benefit Analysis and Risk
270

fund is worth at the end of that day depends on or is conditional on what the other
99
Statistics for Cost Estimators
105
Linear Regression Analysis
121
MultiVariable Linear Regression
152
contribution of an independent variable is the amount of independence between the inde
160
between Independent Variables
164
Intrinsically Linear Regression
172
Unit Theory
180
needed to derive This relationship must be maintained in future calculations in order
284
ables are highly correlated to each other it means that they are very similar in some
285
105
286
The Field of Cost Estimating
291
model Consider the following regression equations calculated from a missile data set given
299
204
309
152
310
Copyright

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About the author (2015)

Gregory K. Mislick is Senior Lecturer in the Department of Operations Research and Program Manager for the Masters Degree Program in Cost Estimating and Analysis at the Naval Postgraduate School (NPS). A retired U.S. Marine Corps Lieutenant Colonel aviator and past associate dean of the Graduate School of Operational and Information Sciences at NPS, his research interests includes life cycle cost estimating and modeling, probability and statistics, regression analysis, learning curves, and optimization.

Daniel A. Nussbaum, PhD, is Visiting Professor in the Department of Operations Research at the Naval Postgraduate School in Monterey, California. With over 30 years of professional experience providing financial estimating and analysis services to senior levels of the U.S. Federal government, Dr. Nussbaum's research interests includes cost/benefit analyses, life cycle cost estimating and modeling, and financial modeling.