Limit search to available items
Book Cover
E-book
Author Mislick, Gregory K

Title Cost estimation : methods and tools / Gregory K. Mislick, Department of Operations Research, Naval Postgraduate School, Monterey, California, Daniel A. Nussbaum, Department of Operations Research, Naval Postgraduate School, Monterey, California
Published Hoboken, New Jersey : Wiley, 2015
Online access available from:
Wiley Online Books    View Resource Record  

Copies

Description 1 online resource
Contents Machine generated contents note: 1. "Looking Back: Reflections on Cost estimating" -- Reference -- 2. Introduction to Cost Estimating -- 2.1. Introduction -- 2.2. What is Cost Estimating? -- 2.3. What Are the Characteristics of a Good Cost Estimate? -- 2.4. Importance of Cost Estimating in DoD and in Congress. Why Do We Do Cost Estimating? -- 2.4.1. Importance of Cost Estimating to Congress -- 2.5. Overview of the DoD Acquisition Process -- 2.6. Acquisition Categories (ACATs) -- 2.7. Cost Estimating Terminology -- Summary -- References -- Applications and Questions -- 3. Non-DoD Acquisition and the Cost Estimating Process -- 3.1. Introduction -- 3.2. Who Practices Cost Estimation? -- 3.3. Government Accountability Office (GAO) and the 12-Step Process -- 3.4. Cost Estimating in Other Non-DoD Agencies and Organizations -- 3.4.1. Intelligence Community (IC) -- 3.4.2. National Aeronautics and Space Administration (NASA) -- 3.4.3. Federal Aviation Administration (FAA) -- 3.4.4. Commercial Firms -- 3.4.5. Cost Estimating Book of Knowledge (CEBOK) -- 3.4.6. Federally Funded Research and Development Centers (FFRDCs) -- 3.4.7. Institute for Defense Analysis (IDA) -- 3.4.8. Mitre Corporation -- 3.4.9. Rand Corporation -- 3.5. Cost Estimating Process -- 3.6. Definition and Planning. Knowing the Purpose of the Estimate -- 3.6.1. Definition and Planning. Defining the System -- 3.6.2. Definition and Planning. Establishing the Ground Rules and Assumptions -- 3.6.3. Definition and Planning. Selecting the Estimating Approach -- 3.6.4. Definition and Planning. Putting the Team Together -- 3.7. Data Collection -- 3.8. Formulation of the Estimate -- 3.9. Review and Documentation -- 3.10. Work Breakdown Structure (WBS) -- 3.10.1. Program Work Breakdown Structure -- 3.10.2. Military-Standard (MIL-STD) 881C -- 3.11. Cost Element Structure (CES) -- Summary -- References -- Applications and Questions -- 4. Data Sources -- 4.1. Introduction -- 4.2. Background and Considerations to Data Collection -- 4.2.1. Cost Data -- 4.2.2. Technical Data -- 4.2.3. Programmatic Data -- 4.2.4. Risk Data -- 4.3. Cost Reports and Earned Value Management (EVM) -- 4.3.1. Contractor Cost Data Reporting (CCDR) -- 4.3.2. Contract Performance Report (CPR) -- 4.3.3. EVM Example -- 4.4. Cost Databases -- 4.4.1. Defense Cost and Resource Center (DCARC) -- 4.4.2. Operating and Support Costs Databases -- 4.4.3. Defense Acquisition Management Information Retrieval (DAMIR) -- Summary -- Reference -- Applications and Questions -- 5. Data Normalization -- 5.1. Introduction -- 5.2. Background to Data Normalization -- 5.3. Normalizing for Content -- 5.4. Normalizing for Quantity -- 5.5. Normalizing for Inflation -- 5.6. DoD Appropriations and Background -- 5.7. Constant Year Dollars (CY$) -- 5.8. Base Year Dollars (BY$) -- 5.9. DoD Inflation Indices -- 5.10. Then Year Dollars (TY$) -- 5.11. Using the Joint Inflation Calculator (JIC) -- 5.12. Expenditure (Outlay) Profile -- Summary -- References -- Applications and Questions -- 6. Statistics for Cost Estimators -- 6.1. Introduction -- 6.2. Background to Statistics -- 6.3. Margin of Error -- 6.4. Taking a Sample -- 6.5. Measures of Central Tendency -- 6.6. Dispersion Statistics -- 6.7. Coefficient of Variation -- Summary -- References -- General Reference -- Applications and Questions -- 7. Linear Regression Analysis -- 7.1. Introduction -- 7.2. Home Buying Example -- 7.3. Regression Background and Nomenclature -- 7.4. Evaluating a Regression -- 7.5. Standard Error (SE) -- 7.6. Coefficient of Variation (CV) -- 7.7. Analysis of Variance (ANOVA) -- 7.8. Coefficient of Determination (R2) -- 7.9. F-Statistic and t-Statistics -- 7.10. Regression Hierarchy -- 7.11. Staying Within the Range of Your Data -- 7.12. Treatment of Outliers -- 7.12.1. Handling Outliers with Respect to X (The Independent Variable Data) -- 7.12.2. Handling Outliers with Respect to Y (The Dependent Variable Data) -- 7.13. Residual Analysis -- 7.14. Assumptions of Ordinary Least Squares (OLS) Regression -- Summary -- Reference -- Applications and Questions -- 8. Multi-Variable Linear Regression Analysis -- 8.1. Introduction -- 8.2. Background of Multi-Variable Linear Regression -- 8.3. Home Prices -- 8.4. Multi-Collinearity (MC) -- 8.5. Detecting Multi-Collinearity (MC), Method #1: Widely Varying Regression Slope Coefficients -- 8.6. Detecting Multi-Collinearity, Method #2: Correlation Matrix -- 8.7. Multi-Collinearity Example #1: Home Prices -- 8.8. Determining Statistical Relationships between Independent Variables -- 8.9. Multi-Collinearity Example #2: Weapon Systems -- 8.10. Conclusions of Multi-Collinearity -- 8.11. Multi-Variable Regression Guidelines -- Summary -- Applications and Questions -- 9. Intrinsically Linear Regression -- 9.1. Introduction -- 9.2. Background of Intrinsically Linear Regression -- 9.3. Multiplicative Model -- 9.4. Data Transformation -- 9.5. Interpreting the Regression Results -- Summary -- Reference -- Applications and Questions -- 10. Learning Curves: Unit Theory -- 10.1. Introduction -- 10.2. Learning Curve, Scenario #1 -- 10.3. Cumulative Average Theory Overview -- 10.4. Unit Theory Overview -- 10.5. Unit Theory -- 10.6. Estimating Lot Costs -- 10.7. Fitting a Curve Using Lot Data -- 10.7.1. Lot Midpoint -- 10.7.2. Average Unit Cost (AUC) -- 10.8. Unit Theory, Final Example (Example 10.5) -- 10.9. Alternative LMP and Lot Cost Calculations -- Summary -- References -- Applications and Questions -- 11. Learning Curves: Cumulative Average Theory -- 11.1. Introduction -- 11.2. Background of Cumulative Average Theory (CAT) -- 11.3. Cumulative Average Theory -- 11.4. Estimating Lot Costs -- 11.5. Cumulative Average Theory, Final Example -- 11.6. Unit Theory vs
Cumulative Average Theory -- 11.6.1. Learning Curve Selection -- Summary -- Applications and Questions -- 12. Learning curves: production Breaks/Lost Learning -- 12.1. Introduction -- 12.2. Lost Learning Process -- 12.3. Production Break Scenario -- 12.4. Anderlohr Method -- 12.5. Production Breaks Example -- 12.6. Retrograde Method, Example 12.1 (Part 2) -- Summary -- References -- Applications and Questions -- 13. Wrap Rates and Step-Down Functions -- 13.1. Introduction -- 13.2. Wrap Rate Overview -- 13.3. Wrap Rate Components -- 13.3.1. Direct Labor Rate -- 13.3.2. Overhead Rate -- 13.3.3. Other Costs -- 13.4. Wrap Rate, Final Example (Example 13.2) -- 13.5. Summary of Wrap Rates -- 13.6. Introduction to Step-Down Functions -- 13.7. Step-Down Function Theory -- 13.8. Step-Down Function Example 13.1 -- 13.9. Summary of Step-Down Functions -- Reference -- Applications and Questions -- 14. Cost Factors and the Analogy Technique -- 14.1. Introduction -- 14.2. Cost Factors Scenario -- 14.3. Cost Factors -- 14.4. Which Factor to Use? -- 14.5. Cost Factors Handbooks -- 14.6. Unified Facilities Criteria (UFC) -- 14.7. Summary of Cost Factors -- 14.8. Introduction to the Analogy Technique -- 14.9. Background of Analogy -- 14.10. Methodology -- 14.11. Example 14.1, Part 1: The Historical WBS -- 14.12. Example 14.1, Part 2: The New WBS -- 14.13. Summary of the Analogy Technique -- Reference -- Applications and Questions -- 15. Software Cost Estimation -- 15.1. Introduction -- 15.2. Background on Software Cost Estimation -- 15.3. What is Software? -- 15.4. WBS Elements in a typical Software Cost Estimating Task -- 15.5. Software Costing Characteristics and Concerns -- 15.6. Measuring Software Size: Source Lines of Code (SLOC) and Function Points (FP) -- 15.6.1. Source Lines of Code: (SLOC) -- 15.6.2. Function Point (FP) Analysis -- 15.7. Software Cost Estimating Process -- 15.8. Problems with Software Cost Estimating: Cost Growth -- 15.9. Commercial Software Availability -- 15.9.1. COTS in the Software Environment -- 15.10. Post Development Software Maintenance Costs -- Summary -- References -- 16. Cost Benefit Analysis and Risk and Uncertainty -- 16.1. Introduction -- 16.2. Cost Benefit Analysis (CBA) and Net Present Value (NPV) Overview -- 16.3. Time Value of Money -- 16.4. Example 16.1. Net Present Value -- 16.5. Risk and Uncertainly Overview -- 16.6. Considerations for Handling Risk and Uncertainty -- 16.7. How do the Uncertainties Affect our Estimate? -- 16.8. Cumulative Cost and Monte Carlo Simulation -- 16.9. Suggested Resources on Risk and Uncertainty Analysis -- Summary -- References -- Applications and Questions -- 17. Epilogue: The Field of Cost Estimating and Analysis
Summary "Provides a step-by-step introduction to the need for cost estimation, the various applications, and the available resources for obtaining relevant data"-- Provided by publisher
Bibliography Includes bibliographical references and index
Notes Print version record and CIP data provided by publisher
Subject Costs, Industrial -- Estimates
Production management.
BUSINESS & ECONOMICS -- Management Science.
TECHNOLOGY & ENGINEERING -- Operations Research.
BUSINESS & ECONOMICS -- Production & Operations Management.
Costs, Industrial -- Estimates
Production management
Form Electronic book
Author Nussbaum, Daniel A., 1943-
LC no. 2014047982
ISBN 9781118802335
1118802330
9781118536216
1118536215