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Reliability Engineering and Services

Book Description

Offers a holistic approach to guiding product design, manufacturing, and after-sales support as the manufacturing industry transitions from a product-oriented model to service-oriented paradigm 

This book provides fundamental knowledge and best industry practices in reliability modelling, maintenance optimization, and service parts logistics planning. It aims to develop an integrated product-service system (IPSS) synthesizing design for reliability, performance-based maintenance, and spare parts inventory. It also presents a lifecycle reliability-inventory optimization framework where reliability, redundancy, maintenance, and service parts are jointly coordinated. Additionally, the book aims to report the latest advances in reliability growth planning, maintenance contracting and spares inventory logistics under non-stationary demand condition.

Reliability Engineering and Service provides in-depth chapter coverage of topics such as: Reliability Concepts and Models; Mean and Variance of Reliability Estimates; Design for Reliability; Reliability Growth Planning; Accelerated Life Testing and Its Economics; Renewal Theory and Superimposed Renewals; Maintenance and Performance-Based Logistics; Warranty Service Models; Basic Spare Parts Inventory Models; Repairable Inventory Systems; Integrated Product-Service Systems (IPPS), and Resilience Modeling and Planning

  • Guides engineers to design reliable products at a low cost
  • Assists service engineers in providing superior after-sales support
  • Enables managers to respond to the changing market and customer needs
  • Uses end-of-chapter case studies to illustrate industry best practice
  • Lifecycle approach to reliability, maintenance and spares provisioning

Reliability Engineering and Service is an important book for graduate engineering students, researchers, and industry-based reliability practitioners and consultants.

Table of Contents

  1. Cover
  2. Dedication
  3. Series Editor's Foreword
  4. Preface
  5. Acknowledgement
  6. About the Companion Website
  7. 1 Basic Reliability Concepts and Models
    1. 1.1 Introduction
    2. 1.2 Reliability Definition and Hazard Rate
    3. 1.3 Mean Lifetime and Mean Residual Life
    4. 1.4 System Downtime and Availability
    5. 1.5 Discrete Random Variable for Reliability Modeling
    6. 1.6 Continuous Random Variable for Reliability Modeling
    7. 1.7 Bayesian Reliability Model
    8. 1.8 Markov Model and Poisson Process
    9. References
    10. Problems
  8. 2 Reliability Estimation with Uncertainty
    1. 2.1 Introduction
    2. 2.2 Reliability Block Diagram
    3. 2.3 Series Systems
    4. 2.4 Parallel Systems
    5. 2.5 Mixed Series and Parallel Systems
    6. 2.6 Systems with k‐out‐of‐‐out‐of‐n:G Redundancy
    7. 2.7 Network Systems
    8. 2.8 Reliability Confidence Intervals
    9. 2.9 Reliability of Multistate Systems
    10. 2.10 Reliability Importance
    11. References
    12. Problems
  9. 3 Design and Optimization for Reliability
    1. 3.1 Introduction
    2. 3.2 Lifecycle Reliability Optimization
    3. 3.3 Reliability and Redundancy Allocation
    4. 3.4 Multiobjective Reliability–Redundancy Allocation
    5. 3.5 Failure‐in‐Time Based Design
    6. 3.6 Failure Rate Considering Uncertainty
    7. 3.7 Fault‐Tree Method
    8. 3.8 Failure Mode, Effect, and Criticality Analysis
    9. 3.9 Case Study: Reliability Design for Six Sigma
    10. References
    11. Problems
  10. 4 Reliability Growth Planning
    1. 4.1 Introduction
    2. 4.2 Classification of Failures
    3. 4.3 Failure Mode Types
    4. 4.4 No Fault Found (NFF) Failures
    5. 4.5 Corrective Action Effectiveness
    6. 4.6 Reliability Growth Model
    7. 4.7 Reliability Growth and Demonstration Test
    8. 4.8 Lifecycle Reliability Growth Planning
    9. 4.9 Case Study
    10. References
    11. Problems
  11. 5 Accelerated Stress Testing and Economics
    1. 5.1 Introduction
    2. 5.2 Design of Accelerated Stress Test
    3. 5.3 Scale Acceleration Model and Usage Rate
    4. 5.4 Arrhenius Model
    5. 5.5 Eyring Model and Power Law Model
    6. 5.6 Semiparametric Acceleration Models
    7. 5.7 Highly Accelerated Stress Screening Testing
    8. 5.8 A Case Study for HASS Project
    9. References
    10. Problems
  12. 6 Renewal Theory and Superimposed Renewal
    1. 6.1 Introduction
    2. 6.2 Renewal Integral Equation
    3. 6.3 Exponential and Erlang Renewal
    4. 6.4 Generalized Exponential Renewal
    5. 6.5 Weibull Renewal with Decreasing Failure Rate
    6. 6.6 Weibull Renewal with Increasing Failure Rate
    7. 6.7 Renewal under Deterministic Fleet Expansion
    8. 6.8 Renewal under Stochastic Fleet Expansion
    9. 6.9 Case Study
    10. References
    11. Problems
  13. 7 Performance‐Based Maintenance
    1. 7.1 Introduction
    2. 7.2 Corrective Maintenance
    3. 7.3 Preventive Maintenance
    4. 7.4 Condition‐Based Maintenance
    5. 7.5 Inverse Gaussian Degradation Process
    6. 7.6 Non‐Stationary Gaussian Degradation Process
    7. 7.7 Performance‐Based Maintenance
    8. 7.8 Contracting for Performance‐Based Logistics
    9. 7.9 Case Study – RUL Prediction of Electronics Equipment
    10. Finding the Optimal “Tao” under Age-Based PM
    11. References
    12. Problems
  14. 8 Warranty Models and Services
    1. 8.1 Introduction
    2. 8.2 Warranty Concept and Its Roles
    3. 8.3 Warranty Policy for Non‐repairable Product
    4. 8.4 Warranty Models for Repairable Products
    5. 8.5 Warranty Service for Variable Installed Base
    6. 8.6 Warranty Service under Reliability Growth
    7. 8.7 Other Warranty Services
    8. 8.8 Case Study: Design for Warranty
    9. References
    10. Problems
  15. 9 Basic Spare Parts Inventory Models
    1. 9.1 Introduction
    2. 9.2 Overview of Inventory Model
    3. 9.3 Deterministic EOQ Model
    4. 9.4 The Newsvendor Model
    5. 9.5 The (q, r) Inventory System under Continuous Review
    6. 9.6 The (s, S, T) Policy under Periodic Review
    7. 9.7 Basic Supply Chain Systems
    8. 9.8 Spare Parts Demand Forecasting
    9. References
    10. Problems
  16. 10 Repairable Inventory System
    1. 10.1 Introduction
    2. 10.2 Characteristics of Repairable Inventory Systems
    3. 10.3 Single‐Echelon Inventory with Uncapacitated Repair
    4. 10.4 Single‐Echelon Inventory with Capacitated Repair
    5. 10.5 Repairable Inventory for a Finite Fleet Size
    6. 10.6 Single‐Echelon Inventory with Emergency Repair
    7. 10.7 Repairable Inventory Planning under Fleet Expansion
    8. 10.8 Multi‐echelon, Multi‐item Repairable Inventory
    9. 10.9 Case Study: Teradyne's Spare Parts Supply Chain
    10. References
    11. Problems
  17. 11 Reliability and Service Integration
    1. 11.1 Introduction
    2. 11.2 The Rise of Product‐Service System
    3. 11.3 Allocation of Reliability and Inventory for a Static Fleet
    4. 11.4 Allocation of Reliability and Inventory under Fleet Expansion
    5. 11.5 Joint Allocation of Maintenance, Inventory, and Repair
    6. 11.6 Case Study: Supporting Wind Generation Using PBC
    7. Matlab Codes for Casey Study with Linear Reward
    8. References
    9. Problems
  18. 12 Resilience Engineering and Management
    1. 12.1 Introduction
    2. 12.2 Resilience Concept and Measures
    3. 12.3 Disaster Resilience Models of Power Grid
    4. 12.4 Prevention, Survivability, and Recovery
    5. 12.5 Variable Generation System Model
    6. 12.6 Case Study: Design for Resilient Distribution Systems
    7. References
    8. Problems
  19. Index
  20. End User License Agreement