Cover -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Introduction -- 1.1 Basic Reliability Terms and Concepts -- 1.2 Machine Tool Failure -- 1.3 Machine Tool Reliability: Manufacturer's View Point -- 1.4 Machine Tool Reliability: User's View Point -- 1.5 Organization of the Book -- 2 Basic Reliability Mathematics -- 2.1 Functions Describing Lifetime as a Random Variable -- 2.2 Probability Distributions Used in Reliability Engineering -- 2.2.1 Exponential Distribution -- 2.2.2 Weibull Distribution -- 2.2.3 Normal Distribution -- 2.2.4 Lognormal Distribution -- 2.3 Life Data Analysis -- 2.3.1 Empirical Methods -- 2.3.2 Unbiased Estimation of Parameters -- 2.4 Stochastic Models for Repairable Systems -- 2.5 Simulation Approach for Reliability Engineering -- 2.6 Use of Bayesian Methods in Reliability Engineering -- 2.7 Closing Remarks -- 3 Machine Tool Performance Measures -- 3.1 Identifying Performance Measures -- 3.2 Mechanism to Link Users' Operational Measures with Machine Reliability and Maintenance Parameters1 -- 3.2.1 Availability Model1 -- 3.2.2 Performance Rate Model -- 3.2.3 Quality Rate Model -- 3.2.4 Overall Equipment Effectiveness Model -- 3.2.5 Life Cycle Cost (LCC) Model -- 3.2.6 Cost per Piece (CPP) Model -- 3.3 Closing Remarks -- 4 Expert Judgement-Based Parameter Estimation Method for Machine Tool Reliability Analysis -- 4.1 Expert Judgement as an Alternative Source of Data in Reliability Studies -- 4.2 Expert Judgement-Based Parameter Estimation Methods -- 4.2.1 Non-Repairable Component -- 4.2.2 Repairable Assembly -- 4.3 Some Desirable Properties of a "Good" Estimator -- 4.4 Closing Remarks -- 5 Machine Tool Maintenance Scenarios, Models and Optimization -- 5.1 Overview of Maintenance -- 5.1.1 Maintenance Models -- 5.1.2 Maintenance Optimization Techniques -- 5.2 Machine Tool Maintenance. 5.3 Machine Tool Maintenance Scenarios -- 5.4 Preventive Maintenance Optimization Models for Different Maintenance Scenarios -- 5.4.1 Preventive Maintenance Optimization in Maintenance Scenario 1 (MSc 1) (Replacement Model) -- 5.4.2 Preventive Maintenance Optimization in Maintenance Scenario 2 (MSc 2) (Repair-Replacement Model) -- 5.4.3 Preventive Maintenance Optimization in Maintenance Scenario 3 (MSc 3) (Overhauling Model) -- 5.5 Closing Remarks -- 6 Reliability and Maintenance Based Design of Machine Tools -- 6.1 Optimal Reliability Design -- 6.2 Optimal Reliability Design of Machine Tools -- 6.2.1 Machine Tool Functional Design Scenarios -- 6.2.1.1 Special Purpose Machine Tool Design -- 6.2.1.2 General Purpose Machine Tool Design -- 6.2.1.3 Customized Machine Tool Design -- 6.2.2 Simultaneous Optimization of Reliability and Maintenance under Three Functional Design Scenarios -- 6.2.2.1 Simultaneous Optimization for Special Purpose Machine Tool -- 6.2.2.2 Simultaneous Optimization for General Purpose Machine Tool Design Scenario -- 6.2.2.3 Simultaneous Optimization for Customized Machine Tool Design -- 6.3 Failure Mode and Effects Analysis -- 6.3.1 Cost-Based FMEA Approach -- 6.4 Closing Remarks -- 7 Machine Tool Maintenance and Process Quality Control -- 7.1 Development of Statistical Process Control (SPC) -- 7.2 Economic Design of Control Chart -- 7.3 Process Failure -- 7.4 Joint Optimization of Maintenance Planning and Quality Control Policy -- 7.4.1 Problem Description -- 7.4.2 Assumptions and Conditions -- 7.4.3 Integration Approaches -- 7.5 Joint Optimization of Maintenance Planning and Quality Control Policy Using X- Control Chart -- 7.5.1 Expected Cost Model for Corrective Maintenance Due to FC1 -- 7.5.2 Expected Cost per Preventive Maintenance for a System. 7.5.3 Determination of the Expected Cost Associated with the Process Quality Control -- 7.5.3.1 Expected Process Cycle Length -- 7.5.3.2 Expected Process Quality Control Cost (E[Cprocess-fauure]) Model -- 7.5.4 Numerical Illustration -- 7.5.4.1 Sensitivity Analysis -- 7.5.5 Comparative Study of Integrated Model with Standalone Models -- 7.5.5.1 Maintenance Model -- 7.5.5.2 Statistical Process Control (SPC) Model -- 7.5.5.3 Comparison of Results -- 7.6 Joint Optimization of Preventive Maintenance and Quality Policy Incorporating Taguchi Quadratic Loss Function -- 7.6.1 Optimization Model -- 7.6.2 Numerical Example -- 7.6.2.1 Sensitivity Analysis -- 7.7 Joint Optimization of Preventive Maintenance and Quality Policy Based on Taguchi Quadratic Loss Function Using CUSUM Control Chart -- 7.7.1 Optimization Model -- 7.7.2 Numerical Example -- 7.8 Extension of the Joint Optimization of Maintenance Planning and Quality Control Policy for Multi-component System -- 7.8.1 Problem Description -- 7.8.2 Joint Optimization of Maintenance Planning and Quality Control Policy Using Taguchi Loss Function Approach for a Multi-Com System -- 7.8.3 Expected Cost Model for Corrective Maintenance Due to Multi-Components -- 7.8.4 Expected Cost per Preventive Maintenance for Multi-component System -- 7.8.5 Expected Cost Model for Quality Loss Due to Process Failure (E[TCQ]process-failure)M-c -- 7.8.6 Numerical Example -- 7.9 Closing Remarks -- 8 Joint Optimization of Production Scheduling with Integrated Maintenance Scheduling and Quality Control Policy -- 8.1 Production Scheduling -- 8.2 Exploring the Link between Production Scheduling and Maintenance -- 8.3 The Optimal Scheduling Problem -- 8.3.1 Expression for Expected Penalty Cost Incurred Due to Batch Schedule Tardiness -- 8.3.2 Expression for Inventory Carrying Cost of Raw Material. 8.3.3 Optimization Problem for Batch Scheduling -- 8.4 Joint Optimization of Preventive Maintenance and Quality Control -- 8.5 Integration of Production Scheduling with Jointly Optimized Preventive Maintenance and Quality Control Policy -- 8.5.1 Expression for Expected Penalty Cost Incurred Due to Batch and Maintenance Delay -- 8.5.2 Expression for Inventory Carrying Cost of Raw Material for an Integrated Model -- 8.5.3 Joint Optimization of Preventive Maintenance and Quality Control Policy with Production Schedule -- 8.6 Numerical Illustration -- 8.6.1 Solution Procedure for the Integrated Problem -- 8.7 Solving a Larger Problem -- 8.7.1 The Backward-Forward Heuristic Algorithm -- 8.7.2 Genetic Algorithm -- 8.7.3 Numerical Illustration for the Integrated Model for Large Number of Batches -- 8.8 Extension of the Integrated Approach Multiple Machine in Series -- 8.9 Closing Remarks -- 9 Machine Tool Reliability: Future Research Directions -- 9.1 Moving towards Servitization -- 9.2 Multi Agent-Based Systems -- 9.3 Closing Remarks -- References -- Appendices -- Appendix A1: Java Code for Estimating Expected Number of Failures -- Appendix A2: 'MATLAB' Genetic Algorithm Code for Joint Optimization of Production Scheduling and Maintenance Planning -- Index -- EULA.