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Design for Maintainability [Hardback]

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  • Formāts: Hardback, 400 pages, height x width x depth: 244x170x35 mm, weight: 1077 g
  • Sērija : Quality and Reliability Engineering Series
  • Izdošanas datums: 18-Mar-2021
  • Izdevniecība: John Wiley & Sons Inc
  • ISBN-10: 1119578515
  • ISBN-13: 9781119578512
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Design for MaintainabilityPalielināt
  • Formāts: Hardback, 400 pages, height x width x depth: 244x170x35 mm, weight: 1077 g
  • Sērija : Quality and Reliability Engineering Series
  • Izdošanas datums: 18-Mar-2021
  • Izdevniecība: John Wiley & Sons Inc
  • ISBN-10: 1119578515
  • ISBN-13: 9781119578512
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9781119578512.html
Keywords:
"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 howto 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"--

How to design for optimum maintenance capabilities and minimize the repair time

Design for Maintainability offers engineers a wide range of tools and techniques for incorporating maintainability into the design process for complex systems. With contributions from noted experts on the topic, the book explains how to design for optimum maintenance capabilities while simultaneously minimizing the time to repair equipment.

The book contains a wealth of examples and the most up-to-date maintainability design practices that have proven to result in better system readiness, shorter downtimes, and substantial cost savings over the entire system life cycle, thereby, decreasing the Total Cost of Ownership. Design for Maintainability offers a wealth of design practices not covered in typical engineering books, thus allowing readers to think outside the box when developing maintainability design requirements. The books principles and practices can help engineers to dramatically improve their ability to compete in global markets and gain widespread customer satisfaction. This important book:

Offers a complete overview of maintainability engineering as a system engineering discipline

Includes contributions from authors who are recognized leaders in the field

Contains real-life design examples, both good and bad, from various industries

Presents realistic illustrations of good maintainability design principles

Provides discussion of the interrelationships between maintainability with other related disciplines

Explores trending topics in technologies

Written for design and logistic engineers and managers, Design for Maintainability is a comprehensive resource of the most reliable techniques for creating maintainability in when designing a product.

Series Editor's Foreword by Dr Andre Kleyner xix
Preface xxi
Acknowledgments xxiii
Introduction: What You Will Learn xxv
1 Design For Maintainability Paradigms
1(12)
Louis J. Oullo
Jack Dixon
1.1 Why Design for Maintainability?
1(1)
1.1.1 What is a System?
1(1)
1.1.2 What is Maintainability?
1(1)
1.1.3 What is Testability?
2(1)
1.2 Maintainability Factors for Design Consideration
2(3)
1.2.1 Part Standardization
3(1)
1.2.2 Structure Modularization
3(1)
1.2.3 Kit Packaging
3(1)
1.2.4 Part Interchangeability
3(1)
1.2.5 Human Accessibility
4(1)
1.2.6 Fault Detection
4(1)
1.2.7 Fault Isolation
4(1)
1.2.8 Part Identification
5(1)
1.3 Reflections on the Current State of the Art
5(1)
1.4 Paradigms for Design for Maintainability
6(4)
1.4.1 Maintainability is Inversely Proportional to Reliability
7(1)
1.4.2 Maintainability is Directly Proportional to Testability and Prognostics and Health Monitoring
7(1)
1.4.3 Strive for Ambiguity Groups No Greater Than 3
7(1)
1.4.4 Migrate from Scheduled Maintenance to Condition-based Maintenance
8(1)
1.4.5 Consider the Human as the Maintainer
8(1)
1.4.6 Modularity Speeds Repairs
8(1)
1.4.7 Maintainability Predicts Downtime During Repairs
8(1)
1.4.8 Understand the Maintenance Requirements
9(1)
1.4.9 Support Maintainability with Data
9(1)
1.5 Summary
10(1)
References
11(2)
2 History Of Maintainability
13(16)
Louis J. Gullo
2.1 Introduction
13(1)
2.2 Ancient History
13(1)
2.3 The Difference Between Maintainability and Maintenance Engineering
14(1)
2.4 Early Maintainability References
15(2)
2.4.1 The First Maintainability Standards
15(1)
2.4.2 Introduction to MIL-STD-470
16(1)
2.5 Original Maintainability Program Roadmap
17(4)
2.5.1 Task 1: The Maintainability Program Plan
17(1)
2.5.2 Task 2: Maintainability Analysis
17(1)
2.5.3 Task 3: Maintenance Inputs
18(1)
2.5.4 Task 4: Maintainability Design Criteria
18(1)
2.5.5 Task 5: Maintainability Trade Studies
19(1)
2.5.6 Task 6: Maintainability Predictions
19(1)
2.5.7 Task 7: Vendor Controls
19(1)
2.5.8 Task 8: Integration
19(1)
2.5.9 Task 9: Maintainability Design Reviews
20(1)
2.5.10 Task 10: Maintainability Data System
21(1)
2.5.11 Task 11: Maintainability Demonstration
21(1)
2.5.12 Task 12: Maintainability Status Reports
21(1)
2.6 Maintainability Evolution Over the Time Period 1966 to 1978
21(1)
2.7 Improvements During the Period 1978 to 1997
22(1)
2.8 Introduction of Testability
23(1)
2.9 Introduction of Artificial Intelligence
24(1)
2.10 Introduction to MIL-HDBK-470A
24(2)
2.11 Summary
26(1)
References
26(3)
3 Maintainability Program Planning And Management
29(26)
David E. Franck
Anne Meixner
3.1 Introduction
29(1)
3.2 System/Product Life Cycle
29(4)
3.3 Opportunities to Influence Design
33(4)
3.3.1 Engineering Design
33(1)
3.3.2 Design Activities
33(3)
3.3.3 Design Reviews
36(1)
3.4 Maintainability Program Planning
37(5)
3.4.1 Typical Maintainability Engineering Tasks
38(1)
3.4.2 Typical Maintainability Program Plan Outline
38(4)
3.5 Interfaces with Other Functions
42(2)
3.6 Managing Vendor/Subcontractor Maintainability Efforts
44(1)
3.7 Change Management
45(2)
3.8 Cost-effectiveness
47(3)
3.9 Maintenance and Life Cycle Cost (LCC)
50(2)
3.10 Warranties
52(1)
3.11 Summary
53(1)
References
54(1)
Suggestions for Additional Reading
54(1)
4 Maintenance Concept
55(24)
David E. Franck
4.1 Introduction
55(2)
4.2 Developing the Maintenance Concept
57(12)
4.2.1 Maintainability Requirements
60(1)
4.2.2 Categories of Maintenance
61(1)
4.2.2.1 Scheduled Maintenance
61(2)
4.2.2.2 Unscheduled Maintenance
63(6)
4.3 Levels of Maintenance
69(1)
4.4 Logistic Support
70(6)
4.4.1 Design Interface
71(1)
4.4.2 Design Considerations for Improved Logistics Support
71(1)
4.4.2.1 Tools
71(1)
4.4.2.2 Skills
72(1)
4.4.2.3 Test/Support Equipment -- Common and Special
72(1)
4.4.2.4 Training
72(1)
4.4.2.5 Facilities
73(1)
4.4.2.6 Reliability
73(2)
4.4.2.7 Spares Provisioning
75(1)
4.4.2.8 Backshop Support
75(1)
4.5 Summary
76(1)
References
77(1)
Suggestions for Additional Reading
77(2)
5 Maintainability Requirements And Design Criteria
79(18)
Louis J. Gullo
Jack Dixon
5.1 Introduction
79(1)
5.2 Maintainability Requirements
79(2)
5.2.1 Different Maintainability Requirements for Different Markets
81(1)
5.3 The Systems Engineering Approach
81(3)
5.3.1 Requirements Analysis
82(1)
5.3.1.1 Types of Requirements
82(1)
5.3.1.2 Good Requirements
83(1)
5.3.2 System Design Evaluation
84(1)
5.3.3 Maintainability in the Systems Engineering Process
84(1)
5.4 Developing Maintainability Requirements
84(6)
5.4.1 Denning Quantitative Maintainability Requirements
85(2)
5.4.2 Quantitative Preventive Maintainability Requirements
87(1)
5.4.3 Quantitative Corrective Maintainability Requirements
88(2)
5.4.4 Denning Qualitative Maintainability Requirements
90(1)
5.5 Maintainability Design Goals
90(1)
5.6 Maintainability Guidelines
91(1)
5.7 Maintainability Design Criteria
91(2)
5.8 Maintainability Design Checklists
93(1)
5.9 Design Criteria that Provide or Improve Maintainability
94(1)
5.10 Conclusions
95(1)
References
95(1)
Suggestions for Additional Reading
96(1)
Additional Sources of Checklists
96(1)
6 Maintainability Analysis And Modeling
97(22)
James Kovacevic
6.1 Introduction
97(1)
6.2 Functional Analysis
98(2)
6.2.1 Constructing a Functional Block Diagram
99(1)
6.2.2 Using a Functional Block Diagram
100(1)
6.3 Maintainability Analysis
100(1)
6.3.1 Objectives of Maintainability Analyses
101(1)
6.3.2 Typical Products of Maintainability Analyses
101(1)
6.4 Commonly Used Maintainability Analyses
101(16)
6.4.1 Equipment Downtime Analysis
102(1)
6.4.2 Maintainability Design Evaluation
102(1)
6.4.3 Testability Analysis
102(1)
6.4.4 Human Factors Analysis
102(1)
6.4.5 Maintainability Allocations
103(1)
6.4.5.1 Failure Rate Complexity Method
104(1)
6.4.5.2 Variation of the Failure Rate Complexity Method
104(1)
6.4.5.3 Statistically-based Allocation Method
104(2)
6.4.5.4 Equal Distribution Method
106(1)
6.4.6 Maintainability Design Trade Study
106(2)
6.4.7 Maintainability Models and Modeling
108(1)
6.4.7.1 Poisson Distribution in Maintainability Models
108(2)
6.4.8 Failure Modes, Effects, and Criticality Analysis - Maintenance Actions (FMECA-MA)
110(1)
6.4.9 Maintenance Activities Block Diagrams
110(2)
6.4.10 Maintainability Prediction
112(1)
6.4.11 Maintenance Task Analysis (MTA)
112(1)
6.4.12 Level of Repair Analysis (LORA)
113(1)
6.4.12.1 Performing a Level of Repair Analysis
114(2)
6.4.12.2 Managing LORA Data
116(1)
6.4.12.3 Level of Repair Analysis Outcomes
117(1)
6.5 Summary
117(1)
References
117(1)
Suggestion for Additional Reading
118(1)
7 Maintainability Predictions And Task Analysis
119(22)
Louis J. Gullo
James Kovacevic
7.1 Introduction
119(1)
7.2 Maintainability Prediction Standard
119(1)
7.3 Maintainability Prediction Techniques
120(7)
7.3.1 Maintainability Prediction Procedure I
121(1)
7.3.1.1 Preparation Activities
121(1)
7.3.1.2 Failure Verification Activities
121(1)
7.3.1.3 Failure Location Activities
122(1)
7.3.1.4 Part Procurement Activities
122(1)
7.3.1.5 Repair Activities
122(1)
7.3.1.6 Final Test Activities
123(1)
7.3.1.7 Probability Distributions
123(1)
7.3.2 Maintainability Prediction Procedure II
123(1)
7.3.2.1 Use of Maintainability Predictions for Corrective Maintenance
123(1)
7.3.2.2 Use of Maintainability Predictions for Preventive Maintenance
124(1)
7.3.2.3 Use of Maintainability Predictions for Active Maintenance
124(1)
7.3.3 Maintainability Prediction Procedure III
124(1)
7.3.4 Maintainability Prediction Procedure IV
125(2)
7.3.5 Maintainability Prediction Procedure V
127(1)
7.4 Maintainability Prediction Results
127(2)
7.5 Bayesian Methodologies
129(1)
7.5.1 Definition of Bayesian Terms
130(1)
7.5.2 Bayesian Example
130(1)
7.6 Maintenance Task Analysis
130(9)
7.6.1 Maintenance Task Analysis Process and Worksheets
132(2)
7.6.2 Completing a Maintenance Task Analysis Sheet
134(1)
7.6.3 Personnel and Skill Data Entry
134(1)
7.6.4 Spare Parts, Supply Chain, and Inventory Management Data Entry
135(2)
7.6.5 Test and Support Equipment Data Entry
137(1)
7.6.6 Facility Requirements Data Entry
137(1)
7.6.7 Maintenance Manuals
138(1)
7.6.8 Maintenance Plan
138(1)
7.7 Summary
139(1)
References
139(2)
8 Design For Machine Learning
141(16)
Louis J. Gullo
8.1 Introduction
141(1)
8.2 Artificial Intelligence in Maintenance
142(2)
8.3 Model-based Reasoning
144(1)
8.3.1 Diagnosis
145(1)
8.3.2 Health Monitoring
145(1)
8.3.3 Prognostics
145(1)
8.4 Machine Learning Process
145(7)
8.4.1 Supervised and Unsupervised Learning
147(1)
8.4.2 Deep Learning
148(1)
8.4.3 Function Approximations
149(1)
8.4.4 Pattern Determination
150(1)
8.4.5 Machine Learning Classifiers
150(1)
8.4.6 Feature Selection and Extraction
151(1)
8.5 Anomaly Detection
152(1)
8.5.1 Known and Unknown Anomalies
152(1)
8.6 Value-added Benefits of ML
153(1)
8.7 Digital Prescriptive Maintenance (DPM)
154(1)
8.8 Future Opportunities
154(1)
8.9 Summary
155(1)
References
155(2)
9 Condition-Based Maintenance And Design For Reduced Staffing
157(26)
Louis J. Gullo
James Kovacevic
9.1 Introduction
157(1)
9.2 What is Condition-based Maintenance?
158(1)
9.2.1 Types of Condition-based Maintenance
158(1)
9.3 Condition-based Maintenance vs. Time-based Maintenance
159(4)
9.3.1 Time-based Maintenance
159(1)
9.3.2 Types of Time-based Maintenance
159(1)
9.3.3 Calculating Time-based Maintenance Intervals
160(1)
9.3.4 The P-F Curve
160(2)
9.3.5 Calculating Condition-based Maintenance Intervals
162(1)
9.4 Reduced Staffing Through CBM and Efficient TBM
163(1)
9.5 Integrated System Health Management
164(1)
9.6 Prognostics and CBM+
165(5)
9.6.1 Essential Elements of CBM+
170(1)
9.7 Digital Prescriptive Maintenance
170(2)
9.8 Reliability-centered Maintenance
172(8)
9.8.1 History of RCM
172(1)
9.8.2 What is RCM?
173(1)
9.8.3 Why RCM?
174(1)
9.8.4 What we Learned from RCM
174(1)
9.8.4.1 Failure Curves
175(2)
9.8.5 Applying RCM in Your Organization
177(1)
9.8.5.1 Inner Workings of RCM
177(3)
9.9 Conclusion
180(1)
References
181(1)
Suggestion for Additional Reading
181(2)
10 Safety And Human Factors Considerations In Maintainable Design
183(24)
Jack Dixon
10.1 Introduction
183(1)
10.2 Safety in Maintainable Design
183(12)
10.2.1 Safety and its Relationship to Maintainability
184(1)
10.2.2 Safety Design Criteria
184(3)
10.2.3 Overview of System Safety Engineering
187(1)
10.2.4 Risk Assessment and Risk Management
187(1)
10.2.4.1 Probability
188(1)
10.2.4.2 Consequences
188(1)
10.2.4.3 Risk Evaluation
189(1)
10.2.5 System Safety Analysis
190(1)
10.2.5.1 Operating and Support Hazard Analysis
191(2)
10.2.5.2 Health Hazard Analysis
193(2)
10.3 Human Factors in Maintainable Design
195(10)
10.3.1 Human Factors Engineering and its Relationship to Maintainability
195(1)
10.3.2 Human Systems Integration
196(1)
10.3.3 Human Factors Design Criteria
196(2)
10.3.4 Human Factors Engineering Analysis
198(1)
10.3.5 Maintainability Anthropometric Analysis
199(6)
10.4 Conclusion
205(1)
References
206(1)
Suggestion for Additional Reading
206(1)
11 Design For Software Maintainability
207(14)
Louis J. Gullo
11.1 Introduction
207(1)
11.2 What is Software Maintainability?
208(1)
11.3 Relevant Standards
208(1)
11.4 Impact of Maintainability on Software Design
209(1)
11.5 How to Design Software that is Fault-tolerant and Requires Zero Maintenance
210(2)
11.6 How to Design Software that is Self-aware of its Need for Maintenance
212(1)
11.7 How to Develop Maintainable Software that was Not Designed for Maintainability at the Start
213(1)
11.8 Software Field Support and Maintenance
214(2)
11.8.1 Software Maintenance Process Implementation
214(1)
11.8.2 Software Problem Identification and Software Modification Analysis
215(1)
11.8.3 Software Modification Implementation
215(1)
11.8.4 Software Maintenance Review and Acceptance
215(1)
11.8.5 Software Migration
215(1)
11.8.6 Software Retirement
215(1)
11.8.7 Software Maintenance Maturity Model
216(1)
11.9 Software Changes and Configuration Management
216(1)
11.10 Software Testing
217(1)
11.11 Summary
218(1)
References
218(3)
12 Maintainability Testing And Demonstration
221(24)
David E. Franck
12.1 Introduction
221(1)
12.2 When to Test
222(2)
12.3 Forms of Testing
224(12)
12.3.1 Process Reviews
225(1)
12.3.2 Modeling or Simulation
225(2)
12.3.3 Analysis of the Design
227(1)
12.3.4 In-process Testing
227(1)
12.3.5 Formal Design Reviews
228(1)
12.3.6 Maintainability Demonstration (M-Demo)
228(1)
12.3.6.1 M-Demo Test Plan
229(1)
12.3.6.2 M-Demo Maintenance Task Sample Selection
230(3)
12.3.6.3 M-Demo Test Report
233(1)
12.3.6.4 AN/UGC-144 M-Demo Example
234(2)
12.3.7 Operational Maintainability Testing
236(1)
12.4 Data Collection
236(5)
12.5 Summary
241(1)
References
242(1)
Suggestions for Additional Reading
243(2)
13 Design For Test And Testability
245(20)
Anne Meixner
Louis J. Gullo
13.1 Introduction
245(1)
13.2 What is Testability?
245(2)
13.3 DfT Considerations for Electronic Test at All Levels
247(3)
13.3.1 What is Electronic Test?
247(1)
13.3.2 Test Coverage and Effectiveness
248(1)
13.3.3 Accessibility Design Criteria Related to Testability
249(1)
13.4 DfT at System or Product Level
250(1)
13.4.1 Power-On Self-Test and On-Line Testing
251(1)
13.5 DfT at Electronic Circuit Board Level
251(2)
13.6 DfT at Electronic Component Level
253(8)
13.6.1 System in Package/Multi-chip Package Test and DfT Techniques
253(2)
13.6.2 VLSI and DfT Techniques
255(1)
13.6.3 Logic Test and Design For Test
255(1)
13.6.4 Memory Test and Design for Test
256(3)
13.6.5 Analog and Mixed-Signal Test and DfT
259(1)
13.6.6 Design and Test Tradeoffs
260(1)
13.7 Leveraging DfT for Maintainability and Sustainment
261(1)
13.7.1 Built-In-Test/Built-In Self-Test
261(1)
13.8 BITE and External Support Equipment
262(1)
13.9 Summary
262(1)
References
262(1)
Suggestions for Additional Reading
263(2)
14 Reliability Analyses
265(16)
Jack Dixon
14.1 Introduction
265(1)
14.2 Reliability Analysis and Modeling
266(1)
14.3 Reliability Block Diagrams
266(2)
14.4 Reliability Allocation
268(1)
14.5 Reliability Mathematical Model
269(1)
14.6 Reliability Prediction
269(1)
14.7 Fault Tree Analysis
270(6)
14.7.1 What is a Fault Tree?
270(1)
14.7.2 Gates and Events
271(1)
14.7.3 Definitions
271(1)
14.7.4 Methodology
271(2)
14.7.5 Cut Sets
273(3)
14.7.6 Quantitative Analysis of Fault Trees
276(1)
14.7.7 Advantages and Disadvantages
276(1)
14.8 Failure Modes, Effects, and Criticality Analysis
276(3)
14.9 Complementary Reliability Analyses and Models
279(1)
14.10 Conclusions
279(1)
References
280(1)
Suggestions for Additional Reading
280(1)
15 Design For Availability
281(22)
James Kovacevic
15.1 Introduction
281(1)
15.2 What is Availability?
281(2)
15.3 Concepts of Availability
283(6)
15.3.1 Elements of Availability
285(1)
15.3.1.1 Time-related Elements
286(1)
15.3.1.2 Mean Metrics
287(2)
15.4 Types of Availability
289(5)
15.4.1 Inherent Availability
289(1)
15.4.2 Achieved Availability
290(1)
15.4.3 Operational Availability
291(1)
15.4.3.1 A0 Method 1
291(1)
15.4.3.2 A0 Method 2
292(1)
15.4.3.3 A0 Method 3
292(1)
15.4.3.4 A0 Method 4
293(1)
15.5 Availability Prediction
294(6)
15.5.1 Data for Availability Prediction
295(1)
15.5.2 Calculating Availability
296(2)
15.5.3 Steps to Availability Prediction
298(1)
15.5.3.1 Define the Problem
299(1)
15.5.3.2 Define the System
299(1)
15.5.3.3 Collect the Data
299(1)
15.5.3.4 Build the Model
299(1)
15.5.3.5 Verify the Model
299(1)
15.5.3.6 Design the Simulation
299(1)
15.5.3.7 Run the Simulation
300(1)
15.5.3.8 Document and Use the Results
300(1)
15.6 Conclusion
300(1)
References
301(2)
16 Design For Supportability
303(20)
James Kovacevic
16.1 Introduction
303(1)
16.2 Elements of Supportability
304(15)
16.2.1 Product Support Management
305(1)
16.2.2 Design Interface
306(1)
16.2.3 Sustaining Engineering
307(1)
16.2.4 Supply Support
308(1)
16.2.5 Maintenance Planning and Management
309(2)
16.2.6 Packaging, Handling, Storage, and Transportation (PHS&T)
311(1)
16.2.7 Technical Data
312(3)
16.2.8 Support Equipment
315(1)
16.2.9 Training and Training Support
315(1)
16.2.10 Manpower and Personnel
316(1)
16.2.11 Facilities and Infrastructure
317(1)
16.2.12 Computer Resources
318(1)
16.3 Supportability Program Planning
319(2)
16.3.1 Supportability Analysis
319(2)
16.4 Supportability Tasks and the ILS Plan
321(1)
16.5 Summary
322(1)
References
322(1)
Suggestion for Additional Reading
322(1)
17 Special Topics
323(16)
Jack Dixon
17.1 Introduction
323(1)
17.2 Reducing Active Maintenance Time with Single Minute Exchange of Dies (SMED)
323(7)
17.2.1 Incorporating Lean Methods into PM Optimization
325(1)
17.2.1.1 Understanding Waste
325(1)
17.2.1.2 Apply Lean Techniques to Eliminate Waste
326(3)
17.2.1.3 Continually Improve the PM Routine
329(1)
17.2.2 Summary
330(1)
17.3 How to use Big Data to Enable Predictive Maintenance
330(4)
17.3.1 Industry Use
331(1)
17.3.2 Predicting the Future
332(1)
17.3.3 Summary
333(1)
17.4 Self-correcting Circuits and Self-healing Materials for Improved Maintainability, Reliability, and Safety
334(3)
17.4.1 Self-correcting Circuits
334(1)
17.4.2 Self-healing Materials
335(1)
17.4.3 Summary
336(1)
17.5 Conclusion and Challenge
337(1)
References
337(1)
Suggestions for Additional Reading
338(1)
Appendix A System Maintainability Design Verification Checklist
339(14)
A.1 Introduction
339(1)
A.2 Checklist Structure
339(14)
Index 353
Louis J. Gullo, Electrical Engineer with over 35 years of leadership and hands-on experience in electronic systems, advanced technology research, reliability requirements, and engineering hardware and software development. Louis is retired from the US Army and Raytheon, an IEEE Senior Member, IEEE Reliability Society Standards Committee chair, currently employed at Northrop Grumman Corporation (NGC), Roy, UT. He is the co-editor/author of Design for Reliability and Design for Safety, both from Wiley.

Jack Dixon is a Systems Engineering Consultant and President of JAMAR International, Inc. He has worked in the defense industry for over forty years doing system safety, human factors engineering, logistics support, systems engineering, program management, and business development. He is a contributing author of Design for Reliability and the co-author Design for Safety, both from Wiley.