Machine Tool Reliability.

Format:

Book

Author/Creator:

Lad, Bhupesh K.

Contributor:

Shrivastava, Divya.

Kulkarni, Makarand S.

Series:

Performability Engineering Series

Language:

English

Subjects (All):

Machine-tools--Reliability.

Physical Description:

1 online resource (328 pages)

Edition:

1st ed.

Place of Publication:

Newark : John Wiley & Sons, Incorporated, 2016.

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Lad, Bhupesh K. Machine Tool Reliability

ISBN:

9781119038955

OCLC:

938890889