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از ساعت 7 صبح تا 10 شب
ویرایش: [2 ed.]
نویسندگان: John Vail Farr. Isaac J. Faber
سری:
ISBN (شابک) : 1032184868, 9781032184869
ناشر: CRC Press
سال نشر: 2023
تعداد صفحات: 411
[412]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 17 Mb
در صورت تبدیل فایل کتاب Engineering Economics of Life Cycle Cost Analysis به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب اقتصاد مهندسی تحلیل هزینه چرخه زندگی نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
این کتاب یک دیدگاه سیستم ها و چرخه عمر یا هزینه کل مالکیت را ارائه می دهد. این تکنیک های هزینه یابی پیشرفته مانند هزینه یابی مبتنی بر شبیه سازی، تجزیه و تحلیل تصمیم، هزینه یابی سیستم های پیچیده، نرم افزار، داده های بزرگ و برآورد رایانش ابری را ارائه می دهد. مثالها و مشکلات این تکنیکها را با کاربردهای دنیای واقعی نشان میدهند.
This book offers a systems and life cycle or total ownership cost perspective. It presents advanced costing techniques such as simulation-based costing, decision analysis, complex systems costing, software, big data, and cloud computing estimation. Examples and problems demonstrate these techniques with real-world applications.
Cover Half Title Title Page Copyright Page Contents List of Abbreviations Preface Acknowledgments About the Authors SECTION 1: The Mathematics of Engineering Economy Chapter 1: Overview of Systems Life Cycle Costing 1.1. Overview of Engineering Economic Analysis 1.1.1. Business Operations 1.1.2. Customer Relationships 1.1.3. Engineering Services 1.1.4. Product and Process Realization 1.2. Engineering Challenges for the 21st Century 1.3. Introduction to Systems Life Cycle Costing 1.3.1. Systems Life Cycle Costing 1.4. Cost Analysis, Estimation, and Management 1.4.1. Cost Analysis 1.4.2. Cost Estimation 1.4.2.1. Parametric Cost Estimation 1.4.2.2. Analogy Cost Estimating Methodology 1.4.2.3. Engineering Build-Up Methodology 1.4.3. Cost Management 1.5. Summary References Chapter 2: The Science of Engineering Economics: Understanding the Time Value of Money 2.1. Introduction and the Time Value of Money 2.2. The Capital Budgeting Decision 2.2.1. Basic Concepts in Capital Budgeting 2.2.2. Benefit and Cost Development 2.3. Time Value of Money 2.3.1. Cash Flow Diagram Rules 2.4. Interest 2.4.1. Simple Interest 2.4.2. Compounded Interest 2.4.3. The “Rule of 72” 2.4.4. Compound Interest Notation and Interest Tables 2.4.5. Interest Compounded Other Than Yearly 2.5. Common Cash Flow Series 2.5.1. Single Period Cash Flow 2.5.2. Uniform Cash Flow Series 2.5.3. Linear Gradient Cash Flow Series 2.5.4. Irregular Cash Flow Series 2.6. Concept of Economic Equivalence 2.7. Amortization Schedules 2.8. Summary Bibliography References Chapter 3: Advanced Economic Analysis of Alternatives 3.1. Introduction 3.2. Net Present Value 3.2.1. NPV in Excel 3.3. Annual Equivalent Worth 3.3.1. Introduction 3.3.2. Unequal Service Lives Using AEW 3.4. Capital Budgeting: Selection of Multiple Projects 3.5. After-Tax Cash Flow Analysis 3.5.1. Depreciation 3.5.2. Corporate Income Taxes 3.6. Income and Cash Flow Statements 3.7. Summary Bibliography References Chapter 4: The Basic Theory of Interest 4.1. Introduction 4.2. Interest as Time Value of Money 4.3. Inflation 4.3.1. Determining Inflation and Deflation 4.4. Disinflation, Deflation, and Stagflation 4.5. Market Interest Rates 4.5.1. United States Treasury Debt 4.5.2. Debt 4.5.3. Equity 4.5.4. Minimum Attractive Rate of Return 4.6. Summary Bibliography References Chapter 5: Simulation-Based Costing 5.1. Introduction 5.1.1. Ways to Study a System 5.1.2. Advantages and Disadvantages of Simulations 5.2. Review of Probability and Statistics 5.2.1. Introduction 5.2.2. Random Variables 5.2.3. Probability Density Functions 5.2.4. Cumulative Distribution Functions 5.3. Discrete Process Generators 5.4. Continuous Process Generators 5.5. Probability and Statistics Summary 5.6. Simulation in Practice 5.6.1. Introduction to Simulation in Practice 5.6.2. Building Complex Simulations 5.7. Using Readiness Levels for Model Input 5.8. Simulation Using Spreadsheets 5.8.1. Introduction 5.9. Building Systems Simulations 5.9.1. Introduction 5.9.2. Using Expert Elicitation for Data Development 5.9.3. Adjusting for Bias 5.10. Sensitivity Analysis 5.11. Summary References SECTION 2: Cost Estimation of Complex Systems Chapter 6: Life Cycle Framework and Techniques 6.1. Introduction to Developing Life Cycle Models 6.2. Developing LCC Models 6.3. Life Cycle Costs Categories 6.3.1. Industrial Base and Supplier/Vendor Relationships 6.3.2. Research, Development, Testing, and Evaluation 6.3.3. Acquisition 6.3.4. Operations and Support 6.3.5. Disposal or Retirement 6.3.6. Summary of Life Cycle Categories 6.4. Billable Rates 6.5. Costing Labor 6.6. Summary Bibliography References Chapter 7: Costing of Complex Systems 7.1. Introduction 7.2. Issues Surrounding Complex Systems 7.3. Systems Engineering and Management Costs 7.3.1. Hardware 7.3.2. Software 7.3.3. Interfaces and Integration at the Component and System Level 7.3.4. Systems Engineering and Project Management Costs 7.4. From Requirements to Architectures to Costs 7.5. Summary References Chapter 8: Software-Intensive Systems 8.1. Introduction 8.2. Software Estimating Techniques 8.2.1. Overview 8.2.2. Expertise-Based and Hybrid Models 8.2.3. Algorithmic Models 8.2.3.1. Original or Basic COCOMO Model 8.2.3.2. Phase Distribution of Effort and Schedule for Organic Mode 8.2.3.3. Intermediate COCOMO 8.2.3.4. Advanced COCOMO 8.2.4. Function Points 8.2.5. Costing Software with Agile Development 8.3. Summary Bibliography References Appendix 8.A Effort Multiplier for the Intermediate COCOMO Model (from Boehm et al., 2000) ...........221 Chapter 9: Cost Estimating Techniques 9.1. Estimating Life Cycle Costs Throughout the Product Development Cycle 9.2. Analogy 9.3. Parametric Cost Estimating 9.3.1. The Role of Statistics 9.3.2. Some CERs of Interest 9.3.2.1. Wright’s Method 9.3.3. Summary and Conclusions 9.4. Detailed Engineering Builds 9.5. Summary References Chapter 10: The Role of Risk, Value, and Cost in Making Decisions 10.1. Introduction 10.2. Common Decision Analysis Tools 10.2.1. Decision Trees 10.2.2. Decision-Making Based upon Value Analysis 10.2.3. Pugh Matrix 10.2.4. Summary 10.3. Risk 10.3.1. Overview 10.3.2. Risk Buffers 10.4. Integrating Risk, Value, and Costs for Decision Analysis 10.5. Making Defensible and Transparent Decisions 10.5.1. Bias 10.6. Summary Bibliography References Chapter 11: Costing the Cloud, Data, and Machine Learning 11.1. Introduction 11.2. The Role of the Cloud 11.3. Costing Data 11.4. Cost Considerations for Artificial Intelligence and Machine Learning 11.5. Conclusion Bibliography References SECTION 3: Cost Management Chapter 12: Costing and Managing Off-the-Shelf Systems 12.1. Introduction 12.2. Commercial Off-the-Shelf Systems 12.2.1. Hardware-centric COTS 12.2.2. Software-centric COTS 12.2.3. Integration Costs 12.3. Gots 12.4. Software Reuse 12.4.1. Cost Reductions Achieved with Software Reuse 12.5. Open Source 12.6. Summary Bibliography References Chapter 13: Project Management’s Role in Life Cycle Costing 13.1. Introduction 13.2. Basics of Networks 13.3. Work Breakdown Structure 13.4. Progress Measurement 13.5. Calculating Earned Value 13.6. Monte Carlo Simulation of Networks 13.7. Summary Bibliography References Chapter 14: Use of Cost Metrics and Ratios 14.1. Introduction 14.2. Benefit-Cost Ratio 14.3. Return on Investment 14.4. Cost-Benefit Analysis 14.5. Expected Value 14.6. Sensitivity Analysis 14.7. Breakeven Analysis 14.7.1. Breakeven Quantity 14.7.2. Conventional Payback Period 14.7.3. Discounted Payback Period 14.7.4. Breakeven Charts 14.8. Internal Rate of Return 14.8.1. The Compounding Equation 14.8.2. The Quadratic Equation 14.8.3. Trial-and-Error Method 14.8.4. IRR in Excel 14.8.5. Incremental IRR 14.9. Summary References Appendix A Appendix B Index