Cost analysis of electronic systems - Sandborn, Peter (World Scientific, 2013)
Ch. 1. Introduction. 1.1. Cost modeling. 1.2. The product life cycle. 1.3. Life-cycle cost scope. 1.4. Cost modeling definitions. 1.5. Cost modeling for electronic systems. 1.6. The organization of this book -- pt. I. Manufacturing cost modeling. I.1. Classification of products based on manufacturing cost. I.2. Technical cost modeling (TCM) -- ch. 2. Process-flow analysis. 2.1. Process steps and process flows. 2.2. Process-step calculations. 2.3. Process-flow examples. 2.4. comments -- ch. 3. Yield. 3.1. Defects. 3.2. Yield prediction. 3.3. Accumulated yield. 3.4. Yielded cost. 3.5. The relationship between yield and producibility -- ch. 4. Equipment/facilities cost of ownership (COO). 4.1. The cost of ownership algorithm. 4.2. Cost of ownership modeling. 4.3. Using COO to compare two machines. 4.4. Estimating product costs --
- ch. 5. Activity-based costing (ABC). 5.1. The activity-based cost modeling concept. 5.2. Formulation of activity-based cost models. 5.3. Activity-based cost model example. 5.4. Summary and discussion -- ch. 6. Parametric cost modeling. 6.1. Cost estimating relationships (CERs). 6.2. A simple parametric cost modeling example. 6.3. Limitations of CERs. 6.4. Other parametric cost modeling/estimation. 6.5. Summary and discussion -- ch. 7. Test economics. 7.1. Defects and faults. 7.2. Defect and fault coverage. 7.3. Relating fault coverage to yield. 7.4. A test step process model. 7.5. False positives. 7.6. Multiple test steps. 7.7. Financial models of testing. 7.8. Other test-related economic topics -- ch. 8. Diagnosis and rework. 8.1. Diagnosis. 8.2. Rework. 8.3. Test/diagnosis/rework modeling. 8.4. Rework cost (Crework fixed) -- ch. 9. Uncertainty modeling --
- Monte Carlo analysis. 9.1. Representing the uncertainty in parameters. 9.2. Monte Carlo analysis. 9.3. Sample size. 9.4. Example Monte Carlo analysis. 9.5. Stratified sampling (Latin hypercube). 9.6. Discussion -- ch. 10. Learning curves. 10.1. Mathematical models for learning curves. 10.2. Unit learning curve model. 10.3. Cumulative average learning curve model. 10.4. Marginal learning curve model. 10.5. Learning curve mathematics. 10.6. Determining learning curves from actual data. 10.7. Learning curves for yield
Pt. II. Life-cycle cost modeling. II.1. System sustainment. II.2. Cost avoidance. II.3. Logistics -- ch. 11. Reliability. 11.1. Product failure. 11.2. Reliability basics. 11.3. Qualification and certification. 11.4. Cost of reliability -- ch. 12. Sparing. 12.1. Calculating the number of spares. 12.2. The cost of spares. 12.3. Summary and comments -- ch. 13. Warranty cost analysis. 13.1. Types of warranties. 13.2. Renewal functions. 13.3. Simple warranty cost models. 13.4. Two-dimensional warranties. 13.5. Warranty service costs -- Real systems -- ch. 14. Burn-in cost modeling. 14.1. Burn-in cost model. 14.2. Example burn-in cost analysis. 14.3. Effective manufacturing cost of units that survive burn-in. 14.4. Burn-in for repairable units. 14.5. Discussion --
- ch. 15. Availability. 15.1. Availability contracting. 15.2. Availability measures. 15.3. Maintainability and maintenance time. 15.4. Monte Carlo availability calculation example. 15.5. Relating availability to spares. 15.6. Markov availability models. 15.7. Readiness. 15.8. Discussion -- ch. 16. The cost ramifications of obsolescence. 16.1. Managing electronic part obsolescence. 16.2. Lifetime buy costs. 16.3. Strategic management of obsolescence. 16.4. Discussion -- ch. 17. Return on investment (ROI). 17.1. Definition of ROI. 17.2. Cost savings ROIs. 17.3. Cost avoidance ROI. 17.4. Stochastic ROI calculations. 17.5. Summary -- ch. 18. The cost of service / X. X. Huang ... [et al.]. 18.1. Why estimate the cost of a service? 18.2. An engineering service example. 18.3. How to estimate the cost of an engineering service. 18.4. Application of the service costing approach within an industrial company. 18.5. Bidding for the service contract --