Design for maintainability / edited Louis J. Gullo, Jack Dixon.

Format:

Book

Contributor:

Dixon, Jack, 1948- editor.

Gullo, Louis J., editor.

Series:

Quality and Reliability Engineering

Language:

English

Subjects (All):

Maintainability (Engineering).

Physical Description:

1 online resource (xxix, 364 pages) : illustrations

Place of Publication:

Hoboken, New Jersey : Wiley, [2021]

Summary:

"Design for Maintainability" (DfMn) will provide design engineers, logistics engineers, and engineering managers with a range of tools and techniques for incorporating maintainability into the design process for complex systems. Our book will explain how to design for optimum maintenance capabilities and minimize the time to repair equipment. The book will cover maintainability design practices, which will result in improved system readiness, shorter downtimes, and substantial cost savings over the entire system life cycle, thereby, decreasing the Total Cost of Ownership (TCO). Readers who apply DfMn principles and practices can expect to have a dramatic improvement in their ability to compete in global markets and gain widespread customer satisfaction. Readers will find a wealth of design practices not covered in typical engineering books, allowing them to think outside the box when developing maintainability design requirements"-- Provided by publisher.

Contents:

Cover

Title Page

Copyright

Contents

Series Editor's Foreword by Dr Andre Kleyner

Preface

Acknowledgments

Introduction: What You Will Learn

Chapter 1 Design for Maintainability Paradigms

1.1 Why Design for Maintainability?

1.1.1 What is a System?

1.1.2 What is Maintainability?

1.1.3 What is Testability?

1.2 Maintainability Factors for Design Consideration

1.2.1 Part Standardization

1.2.2 Structure Modularization

1.2.3 Kit Packaging

1.2.4 Part Interchangeability

1.2.5 Human Accessibility

1.2.6 Fault Detection

1.2.7 Fault Isolation

1.2.8 Part Identification

1.3 Reflections on the Current State of the Art

1.4 Paradigms for Design for Maintainability

1.4.1 Maintainability is Inversely Proportional to Reliability

1.4.2 Maintainability is Directly Proportional to Testability and Prognostics and Health Monitoring

1.4.3 Strive for Ambiguity Groups No Greater Than 3

1.4.4 Migrate from Scheduled Maintenance to Condition‐based Maintenance

1.4.5 Consider the Human as the Maintainer

1.4.6 Modularity Speeds Repairs

1.4.7 Maintainability Predicts Downtime During Repairs

1.4.8 Understand the Maintenance Requirements

1.4.9 Support Maintainability with Data

1.5 Summary

References

Chapter 2 History of Maintainability

2.1 Introduction

2.2 Ancient History

2.3 The Difference Between Maintainability and Maintenance Engineering

2.4 Early Maintainability References

2.4.1 The First Maintainability Standards

2.4.2 Introduction to MIL‐STD‐470

2.5 Original Maintainability Program Roadmap

2.5.1 Task 1: The Maintainability Program Plan

2.5.2 Task 2: Maintainability Analysis

2.5.3 Task 3: Maintenance Inputs

2.5.4 Task 4: Maintainability Design Criteria

2.5.5 Task 5: Maintainability Trade Studies

2.5.6 Task 6: Maintainability Predictions.

2.5.7 Task 7: Vendor Controls

2.5.8 Task 8: Integration

2.5.9 Task 9: Maintainability Design Reviews

2.5.10 Task 10: Maintainability Data System

2.5.11 Task 11: Maintainability Demonstration

2.5.12 Task 12: Maintainability Status Reports

2.6 Maintainability Evolution Over the Time Period 1966 to 1978

2.7 Improvements During the Period 1978 to 1997

2.8 Introduction of Testability

2.9 Introduction of Artificial Intelligence

2.10 Introduction to MIL‐HDBK‐470A

2.11 Summary

Chapter 3 Maintainability Program Planning and Management

3.1 Introduction

3.2 System/Product Life Cycle

3.3 Opportunities to Influence Design

3.3.1 Engineering Design

3.3.2 Design Activities

3.3.3 Design Reviews

3.4 Maintainability Program Planning

3.4.1 Typical Maintainability Engineering Tasks

3.4.2 Typical Maintainability Program Plan Outline

3.5 Interfaces with Other Functions

3.6 Managing Vendor/Subcontractor Maintainability Efforts

3.7 Change Management

3.8 Cost‐effectiveness

3.9 Maintenance and Life Cycle Cost (LCC)

3.10 Warranties

3.11 Summary

Suggestions for Additional Reading

Chapter 4 Maintenance Concept

4.1 Introduction

4.2 Developing the Maintenance Concept

4.2.1 Maintainability Requirements

4.2.2 Categories of Maintenance

4.2.2.1 Scheduled Maintenance

4.2.2.2 Unscheduled Maintenance

4.3 Levels of Maintenance

4.4 Logistic Support

4.4.1 Design Interface

4.4.2 Design Considerations for Improved Logistics Support

4.4.2.1 Tools

4.4.2.2 Skills

4.4.2.3 Test/Support Equipment - Common and Special

4.4.2.4 Training

4.4.2.5 Facilities

4.4.2.6 Reliability

4.4.2.7 Spares Provisioning

4.4.2.8 Backshop Support

4.5 Summary

Suggestions for Additional Reading.

Chapter 5 Maintainability Requirements and Design Criteria

5.1 Introduction

5.2 Maintainability Requirements

5.2.1 Different Maintainability Requirements for Different Markets

5.3 The Systems Engineering Approach

5.3.1 Requirements Analysis

5.3.1.1 Types of Requirements

5.3.1.2 Good Requirements

5.3.2 System Design Evaluation

5.3.3 Maintainability in the Systems Engineering Process

5.4 Developing Maintainability Requirements

5.4.1 Defining Quantitative Maintainability Requirements

5.4.2 Quantitative Preventive Maintainability Requirements

5.4.3 Quantitative Corrective Maintainability Requirements

5.4.4 Defining Qualitative Maintainability Requirements

5.5 Maintainability Design Goals

5.6 Maintainability Guidelines

5.7 Maintainability Design Criteria

5.8 Maintainability Design Checklists

5.9 Design Criteria that Provide or Improve Maintainability

5.10 Conclusions

Additional Sources of Checklists

Chapter 6 Maintainability Analysis and Modeling

6.1 Introduction

6.2 Functional Analysis

6.2.1 Constructing a Functional Block Diagram

6.2.2 Using a Functional Block Diagram

6.3 Maintainability Analysis

6.3.1 Objectives of Maintainability Analyses

6.3.2 Typical Products of Maintainability Analyses

6.4 Commonly Used Maintainability Analyses

6.4.1 Equipment Downtime Analysis

6.4.2 Maintainability Design Evaluation

6.4.3 Testability Analysis

6.4.4 Human Factors Analysis

6.4.5 Maintainability Allocations

6.4.5.1 Failure Rate Complexity Method

6.4.5.2 Variation of the Failure Rate Complexity Method

6.4.5.3 Statistically‐based Allocation Method

6.4.5.4 Equal Distribution Method

6.4.6 Maintainability Design Trade Study

6.4.7 Maintainability Models and Modeling.

6.4.7.1 Poisson Distribution in Maintainability Models

6.4.8 Failure Modes, Effects, and Criticality Analysis - Maintenance Actions (FMECA‐MA)

6.4.9 Maintenance Activities Block Diagrams

6.4.10 Maintainability Prediction

6.4.11 Maintenance Task Analysis (MTA)

6.4.12 Level of Repair Analysis (LORA)

6.4.12.1 Performing a Level of Repair Analysis

6.4.12.2 Managing LORA Data

6.4.12.3 Level of Repair Analysis Outcomes

6.5 Summary

Suggestion for Additional Reading

Chapter 7 Maintainability Predictions and Task Analysis

7.1 Introduction

7.2 Maintainability Prediction Standard

7.3 Maintainability Prediction Techniques

7.3.1 Maintainability Prediction Procedure I

7.3.1.1 Preparation Activities

7.3.1.2 Failure Verification Activities

7.3.1.3 Failure Location Activities

7.3.1.4 Part Procurement Activities

7.3.1.5 Repair Activities

7.3.1.6 Final Test Activities

7.3.1.7 Probability Distributions

7.3.2 Maintainability Prediction Procedure II

7.3.2.1 Use of Maintainability Predictions for Corrective Maintenance

7.3.2.2 Use of Maintainability Predictions for Preventive Maintenance

7.3.2.3 Use of Maintainability Predictions for Active Maintenance

7.3.3 Maintainability Prediction Procedure III

7.3.4 Maintainability Prediction Procedure IV

7.3.5 Maintainability Prediction Procedure V

7.4 Maintainability Prediction Results

7.5 Bayesian Methodologies

7.5.1 Definition of Bayesian Terms

7.5.2 Bayesian Example

7.6 Maintenance Task Analysis

7.6.1 Maintenance Task Analysis Process and Worksheets

7.6.2 Completing a Maintenance Task Analysis Sheet

7.6.3 Personnel and Skill Data Entry

7.6.4 Spare Parts, Supply Chain, and Inventory Management Data Entry

7.6.5 Test and Support Equipment Data Entry

7.6.6 Facility Requirements Data Entry.

7.6.7 Maintenance Manuals

7.6.8 Maintenance Plan

7.7 Summary

Chapter 8 Design for Machine Learning

8.1 Introduction

8.2 Artificial Intelligence in Maintenance

8.3 Model‐based Reasoning

8.3.1 Diagnosis

8.3.2 Health Monitoring

8.3.3 Prognostics

8.4 Machine Learning Process

8.4.1 Supervised and Unsupervised Learning

8.4.2 Deep Learning

8.4.3 Function Approximations

8.4.4 Pattern Determination

8.4.5 Machine Learning Classifiers

8.4.6 Feature Selection and Extraction

8.5 Anomaly Detection

8.5.1 Known and Unknown Anomalies

8.6 Value‐added Benefits of ML

8.7 Digital Prescriptive Maintenance (DPM)

8.8 Future Opportunities

8.9 Summary

Chapter 9 Condition‐based Maintenance and Design for Reduced Staffing

9.1 Introduction

9.2 What is Condition‐based Maintenance?

9.2.1 Types of Condition‐based Maintenance

9.3 Condition‐based Maintenance vs. Time‐based Maintenance

9.3.1 Time‐based Maintenance

9.3.2 Types of Time‐based Maintenance

9.3.3 Calculating Time‐based Maintenance Intervals

9.3.4 The P‐F Curve

9.3.5 Calculating Condition‐based Maintenance Intervals

9.4 Reduced Staffing Through CBM and Efficient TBM

9.5 Integrated System Health Management

9.6 Prognostics and CBM+

9.6.1 Essential Elements of CBM+

9.7 Digital Prescriptive Maintenance

9.8 Reliability‐centered Maintenance

9.8.1 History of RCM

9.8.2 What is RCM?

9.8.3 Why RCM?

9.8.4 What we Learned from RCM

9.8.4.1 Failure Curves

9.8.5 Applying RCM in Your Organization

9.8.5.1 Inner Workings of RCM

9.9 Conclusion

Chapter 10 Safety and Human Factors Considerations in Maintainable Design

10.1 Introduction

10.2 Safety in Maintainable Design.

10.2.1 Safety and its Relationship to Maintainability.

Notes:

Description based on print version record.

ISBN:

9781119578505

1119578507

9781119578413

1119578418

9781119578536

1119578531

OCLC:

1244630353