The process of discovery in science and technology may require investigation of a large number of features, such as factors, genes or molecules. In Screening, designed experiments and statistical analyses of the resulting data sets are used to identify efficiently the few features that determine key properties of the system under study.

This book brings together accounts by leading international experts that are essential reading for those working in fields such as industrial quality improvement, engineering research and development, genetic and medical screening, drug discovery, and computer simulation of manufacturing systems or economic models. Our aim is to promote cross-fertilization of ideas and methods through detailed explanations, a variety of examples and extensive references.

Topics cover both physical and computer simulated experiments. They include screening methods for detecting factors that affect the value of a response or its variability, and for choosing between various different response models. Screening for disease in blood samples, for genes linked to a disease and for new compounds in the search for effective drugs are also described. Statistical techniques include Bayesian and frequentist methods of data analysis, algorithmic methods for both the design and analysis of experiments, and the construction of fractional factorial designs and orthogonal arrays.

The material is accessible to graduate and research statisticians, and to engineers and chemists with a working knowledge of statistical ideas and techniques. It will be of interest to practitioners and researchers who wish to learn about useful methodologies from within their own areaas well as methodologies that can be translated from one area to another.

This is a comprehensive, user-friendly and hands-on book that is a single source of reference of tools and techniques for all quality practitioners. Implementing Six Sigma and Lean covers the basics of how to manage for consistently high quality and gives good coverage of both simple tools and advanced techniques which can be used in all businesses. This book provides guidance on how to use these tools for different situations such as new start-up companies, stalled projects and the constant achievement of high quality in well-established quality regimes. Case studies are included that encourage the reader to respond in a practical situations and provide a good learning resource for courses. There are summaries of key elements and questions with exercises at the end of each chapter.

Although regularly introducing new products or services is the lifeblood of most industries, bringing them to market can be fraught with peril. Timing, cost, and quality all play important roles in a successful product launch and avoiding expensive - often in more than just dollars - recalls and redesigns. Quality Assurance: Applying Methodologies for Launching New Products, Services, and Customer Satisfaction details continual improvement (CI), a proven process for avoiding common problems and creating customer satisfaction. The book explores the three fundamental approaches required to create a truly CI culture in any organization: a) consistent philosophy of improvement by management, b) receptive organizational culture, and c) the entire culture of the organization must be willing to make decisions based on measurement and data. It outlines the seven principles: research/plan, assure, explain, prioritize, demonstrate, confirm, and show. However, as with CI itself, this attitude must be incorporated into the processes of any organization and create products or services for the market place that will delight customers rather than just satisfying them. Time and cost constraints are the biggest culprits here, not any one person's lack of due diligence. When this happens, organizations must look at the bigger picture internally and identify it as a system problem. Based on the author's 35 years of experience, this book covers the essential items for doing the right thing the first time especially during launching a good product and/or service to the customer. It identifies key indicators and methodologies that will help you attain excellent performance, delivery, and cost with both the customer and supplier. In other words, by following these methodologies and indicators, the job will get done right the first time.

The Routledge Handbook of Communication Disorders provides an update on key issues and research in the clinical application of the speech, language and hearing sciences in both children and adults.

Focusing on areas of cutting edge research, this "Handbook" showcases we know about communication disorders, and their assessment and treatment. It emphasizes the application of theory to clinical practice throughout, and is arranged by the four key bases of communication impairments:

• Neural/Genetic Bases
• Perceptual-Motor Bases
• Cognitive-Linguistic Bases
• Socio-cultural Bases.

The "Handbook "ends with an integrative section, which looks at innovative ways of working across domains to arrive at novel assessment and treatment ideas. It is an important reference work for researchers, students and practitioners working in communication science and speech and language therapy.

The book is written for anyone who wants to design experiments, carry them out, and analyze the results. The authors provide a clear-cut, practical approach to designing experiments in any discipline and explain the general principles upon which such design is based. The reader then can apply these theories to any specific problem in his own work. No advanced mathematics is needed to utilize Design of Experiments - the necessary statistical concepts and briefly reviewed in the first two chapters. Subsequent chapters explain why and how the design of experiments in an intrinsic part of the scientific method, what problems will be encountered by the researcher in setting up his experiment and how to deal with them, and how to accurately analyze the result in terms of the sample taken and the method used. Each chapter includes problems encountered in specific fields so that the reader can test himself on his comprehension of the material. The diversity of the applications that these problems encompass also allows the reader to grasp the basic principles that unite the statistical approach to experiment design. Researchers and students in engineering, agriculture, pharmacy, veterinary science, chemistry, biology, the social; sciences, statistics, mathematics, or any other field that requires the design, solution, and analysis of problems will find this book absolutely indispensable.

As projects become more complex and the project teams are more geographically and culturally dispersed, so strong, trusting relationships come to the fore. Trust provides the security that enables project teams to work together effectively, even when they face project-threatening problems and challenges. Because today's team members work virtually as much by choice as by geographic necessity, business leaders must understand how team relationships such as trust, cross-divisional projects, and how offshore team participation are all positively motivated by a solid quality assurance program. Offering real world solutions, Trust in Virtual Teams provides a clear view of how virtual projects can succeed, and how quality assurance compliments and promotes effective organizational design and project management to build solid trust relationships. Dr Wise combines the latest research in virtual team trust with simple and proven quality methods. He builds upon more than 20 years of experience in quality and project work to guide team managers in creating high performing project teams. Our understanding of the role human factors play in project performance and project resilience continues to grow. As it does, so does our need to address the behaviors and culture that enable good performance. Tom Wise's book is a thoughtful and pragmatic guide to help project teams and managers do just that.

For almost every sensationalized media report of product failure, a closer look often determines these failures occurred due to inadequate reliability theory and methodology. Current theories and practices cannot solve these problems, mainly because test specifications, especially lifetime tests, express their results as either pass or fail; these results thus provide little useful quantitative information. In a clear, concise presentation, Improving Reliability and Quality for Product Success discusses how to eradicate failures in hardware products and, consequently, achieve greater success in the marketplace.

Evolved from the author s more than thirty years of experience, the book redefines quality and reliability terminology, explains failure mechanics, and analyzes why reliability accidents occur in the products of established corporations. The author presents a new prevention methodology in easily understood qualitative and scientific terms. Without excess discussions of the complex related mathematics, he creates principles that enable readers to identify problems before product release into the market. These novel concepts and methodology can reduce product troubles by establishing test specifications that produce quantified outcomes that constitute conclusive judgment data.

Many books that cover reliability theory/engineering/practice are geared towards professionals with advanced mathematical skills and would not necessarily be of use to executives and CEOs, who may not be quality or reliability experts but need to understand these principles when making decisions. This book addresses this important but neglected audience, introducing novel ideas based on back-to basics quality/reliability concepts in an easily understood manner. In addition, it explains basic, fresh new methods for maximizing customer satisfaction and securing a competitive edge in performance.

As a society, we tend to reward problem solvers, rather than those who prevent problems at their source. In other words, we focus on after-the-fact occurrences (appraisal activities) instead of trying to eliminate these occurrences (preventing activities). Discussing and evaluating the core requirements of quality efficiency and improvement, 10 Essentials for High Performance Quality in the 21st Century proposes an approach to help shift the paradigm of quality from appraisal mode to preventing mode. Identifying 10 steps readers can follow to optimize the quality of products and improve customer satisfaction, the book explains the rationale behind each of the steps in separate chapters. It addresses specific quality issues in six different sectors of the economy and provides statistics, tables, and figures from various organizations that support the need for a paradigm shift. Outlining a systematic process to guide your organization along the path toward improvement, the book covers risk and quality, multicultural management, empowerment, error analysis, team building, advanced quality planning, and quality operating systems. The accompanying downloadable resources provide tips and tools to help you implement all the necessary improvement initiatives under the umbrella of quality.

In an era of intense competition where plant operating efficiencies must be maximized, downtime due to machinery failure has become more costly. To cut operating costs and increase revenues, industries have an urgent need to predict fault progression and remaining lifespan of industrial machines, processes, and systems. An engineer who mounts an acoustic sensor onto a spindle motor wants to know when the ball bearings will wear out without having to halt the ongoing milling processes. A scientist working on sensor networks wants to know which sensors are redundant and can be pruned off to save operational and computational overheads. These scenarios illustrate a need for new and unified perspectives in system analysis and design for engineering applications.

Intelligent Diagnosis and Prognosis of Industrial Networked Systems proposes linear mathematical tool sets that can be applied to realistic engineering systems. The book offers an overview of the fundamentals of vectors, matrices, and linear systems theory required for intelligent diagnosis and prognosis of industrial networked systems. Building on this theory, it then develops automated mathematical machineries and formal decision software tools for real-world applications.

The book includes portable tool sets for many industrial applications, including:

• Forecasting machine tool wear in industrial cutting machines
• Reduction of sensors and features for industrial fault detection and isolation (FDI)
• Identification of critical resonant modes in mechatronic systems for system design of R&D
• Probabilistic small-signal stability in large-scale interconnected power systems
• Discrete event command and control for military applications

The book also proposes future directions for intelligent diagnosis and prognosis in energy-efficient manufacturing, life cycle assessment, and systems of systems architecture. Written in a concise and accessible style, it presents tools that are mathematically rigorous but not involved. Bridging academia, research, and industry, this reference supplies the know-how for engineers and managers making decisions about equipment maintenance, as well as researchers and students in the field.

Considering that the biggest machines that do the most work are made up of smaller machines and components, it becomes obvious that when a large machine breaks, it is normally due to small components acting antagonistically. Detailing a time-tested method for increasing productivity and lowering operational costs, Spend Analysis and Specification Development Using Failure Interpretation explains how to establish performance-based procurement specifications for the components, devices, and items that contribute the most to operational downtime and repair/replacement costs. The book emphasizes the critical need to perform both spend and failure analysis in order to develop a procurement document, which will ultimately reduce overall costs. Accompanied by downloadable resources with helpful material such as, specification checklists, case study worksheets, form letters, and return on investment (ROI) worksheets that you can customize to your needs, the text discusses how to: Identify the products that will cost the most if they fail Develop performance-based procurement specifications to reduce direct and indirect costs Examine cost analysis as it relates to operations, maintenance, and production Determine effective criteria based on properties, test results, and standards for each operation Written by an industry expert with decades of experience giving seminars, training customers and associates, and authoring numerous papers and articles, the text provides the real-world understanding of the influential components and materials' physical properties needed to engage in effective failure and spend analysis. It addresses product submission and monitoring and includes helpful tools so you can immediately get started on conducting your own cost-saving analysis.

An effective visual communication system can help manufacturing employees eliminate significant waste from daily tasks. From work-zone color coding to posted metrics, visual controls clarify and simplify the path to enhanced processes and profits. Leaving little to chance, Visual Controls: Applying Visual Management to the Factory provides a detailed explanation of how to apply the Lean principles of 5S to convert your factory to a fully functioning Visual Workplace. It covers the range of methods that collectively compose an effective visual management system and clearly explains management's role in creating a Lean strategy to accomplish the transformation. This book: * Considers visual Kanban, material replenishment, and the implementation of a visual maintenance department * Details management's role in implementing and sustaining a visual factory * Covers the range of visual tools -- including tool boards, shadow boards, metrics communication boards, and tool check cards From plant layout and department setup to visual tools and parts, this book facilitates the comprehensive understanding required to initiate positive change through visual communication. The authors supply authoritative insight on how to hasten the required cultural changes, as well as step-by-step instruction for creating visual shadow boards. They also highlight time-tested methods for measuring progress and performance with improved accuracy.

Today, multi-functional materials such as piezoelectric/ferroelectric ceramics, magneto-strictive and shape memory alloys are gaining increasing applications as sensors, actuators or smart composite materials systems for emerging high tech areas. The stable performance and reliability of these smart components under complex service loads is of paramount practical importance. However, most multi-functional materials suffer from various mechanical and/or electro-magnetical degra-dation mechanisms as fatigue, damage and fracture. Therefore, this exciting topic has become a challenge to intensive international research, provoking the interdisciplinary approach between solid mechanics, materials science and physics. This book summarizes the outcome of the above mentioned IUTAM-symposium, assembling contributions by leading scientists in this area. Particularly, the following topics have been addressed: (1) Development of computational methods for coupled electromechanical field analysis, especially extended, adaptive and multi-level finite elements. (2) Constitutive modeling of non-linear smart material behavior with coupled electric, magnetic, thermal and mechanical fields, primarily based on micro-mechanical models. (3) Investigations of fracture and fatigue in piezoelectric and ferroelectric ceramics by means of process zone modeling, phase field simulation and configurational mechanics. (4) Reliability and durability of sensors and actuators under in service loading by alternating mechanical, electrical and thermal fields. (5) Experimental methods to measure fracture strength and to investigate fatigue crack growth in ferroelectric materials under electromechanical loading. (6) New ferroelectric materials, compounds and composites with enhanced strain capabilities.

Since the publication of the second edition in 2013, there has been an increasing interest in asset management globally, as evidenced by a series of international standards on asset management systems, to achieve excellence in asset management. This cannot be achieved without high-quality data and the tools for data interpretation. The importance of such requirements is widely recognized by industry.

The third edition of this textbook focuses on tools for physical asset management decisions that are data driven. It also uses a theoretical foundation to the tools (mathematical models) that can be used to optimize a variety of key maintenance/replacement/reliability decisions. Problem sets with answers are provided at the end of each chapter. Also available is an extensive set of PowerPoint slides and a solutions manual upon request with qualified textbook adoptions.

This new edition can be used in undergraduate or post-graduate courses on physical asset management.

Table of Contents

1. Introduction. 2. Reliability Improvement Through Component Replacement. 3. Reliability Improvement Through Inspection Decisions. 4. Capital Equipment Replacement. 5. Maintenance Resource Requirements. 6. The Role of Emerging Technologies in Physical Asset Management. Statistical Tables. Answers to Problems.

Richard Bellmann developed a theory of dynamic programming which is for many reasons still in the center of great interest. The authors present a new approach in the ?eld of the optimization and multi-objective control of time-discrete systems which is closely related to the work of Richard Bellmann. They develop their own concept and their extension to the optimization and multi-objective control of time-discrete systems as well as to dynamic networks and multilayered structures are very stimulating for further research. Di?erent perspectives of discrete control and optimal dynamic ?ow problems on networks are treated and characterized. Together with the algorithmic solutions a framework of multi-objective control problems is - rived. The conclusion with a real world example underlines the necessity and - portance of their theoretic framework. As they come back to the classical Bellmann concept of dynamic programming they stress and honor his basic concept without debase their own work. Multilayereddecisionprocessesaspartofthedesignandanalysisofcomplexsystems and networks will be essential in many ways and ?elds in the future.

Analyzing maintenance as an integrated system with objectives, strategies and processes that need to be planned, designed, engineered, and controlled using statistical and optimization techniques, the theme of this book is the strategic holistic system approach for maintenance. This approach enables maintenance decision makers to view maintenance as a provider of a competitive edge not a necessary evil. Encompassing maintenance systems; maintenance strategic and capacity planning, planned and preventive maintenance, work measurements and standards, material (spares) control, maintenance operations and control, planning and scheduling, maintenance quality, training, and others, this book gives readers an understanding of the relevant methodology and how to apply it to real-world problems in industry. Each chapter includes a number exercises and is suitable as a textbook or a reference for a professionals and practitioners whilst being of interest to industrial engineering, mechanical engineering, electrical engineering, and industrial management students. It can also be used as a textbook for short courses on maintenance in industry. This text is the second edition of the book, which has four new chapters added and three chapters are revised substantially to reflect development in maintenance since the publication of the first edition. The new chapters cover reliability centered maintenance, total productive maintenance, e-maintenance and maintenance performance, productivity and continuous improvement.

Complexity in automation- and safety systems in railway as well as automotive applications are dominated more and more by formal description means, methods and tools. Formal techniques provide next to correctness and integrity checkups - especially for safety relevant systems - the possibility to model, prove, simulate and check the specification of the system as well as to generate the system implementations. Requirements of the CENELEC- and IEC-Standards on formal techniques, particularly with regard to the handling of safety analysis, are to be treated in FORMS/FORMAT 2010. The main focus lies on topics facing formal techniques for railway applications and intelligent transportation systems as well as for automotive applications. Gained findings, experiences and also difficulties associated with the handling of the subject matter as well as description means and tools are to be shown.

Offering a model, an implementing strategy, as well as traditional and nontraditional methods for the successful enhancement and maintenance of quality, this work establishes a rationale for the continuation of Total Quality Management (TQM) in all organizations. It considers leading quality-related topics, such as unusual charts, supplier-organization-customer relationships, customer needs and expectations, instructional design, adult learning, advanced quality planning, and reliability.

Updated to account for ISO 55000, Benchmarking Best Practices for Maintenance, Reliability and Asset Management, Third Edition,  now includes an overview of this seminal and long-awaited standard and identifies the specific points where ISO 55000 will impact maintenance and reliability. New graphics to enhance the text’s main points have been added throughout. As with past editions, the third edition provides a logical, step-by-step methodology that will enable any company to properly benchmark its maintenance function. It presents an overview of the benchmarking process, a detailed form for surveying and “grading� maintenance management, and a database of the results of more than 100 companies that have used this survey. Widely used, Benchmarking Best Practices for Maintenance, Reliability and Asset Management, Third Edition, has proven to be an invaluable planning guide and on-the-job reference for maintenance managers, plant engineers, operations managers, and plant managers.   Analyzing Maintenance Management Benchmarking Fundamentals Maintenance Organizations Maintenance Training Work Order Systems Maintenance Planning and Scheduling Preventive Maintenance Maintenance Inventory and Purchasing Maintenance Management Reporting and Analysis World Class Maintenance Management Integration of Maintenance Management Best Practices in Maintenance Management

"Real-time Systems Quality of Service" examines the attainability of efficiency, economy, and ease of use, which make up the quality of service of technologically advanced products.

"Real-time Systems Quality of Service" reviews the state of the art in quality of service evaluation for real-time systems. It gives a classification of the relevant parameters for quality of service evaluation and also determines the critical points in the design and development process of real-time systems where performance criteria should be applied or checked. Then, software development and certification standards are assessed, and finally the authors elaborate on how the suggested criteria should be applied to the design, development, and certification process of real-time systems.

"Real-time Systems Quality of Service" will guide researchers and postgraduates in embedded and real-time systems through the process of introducing quality of service parameters into real-time systems.

Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies. Features: Integrates data science, analytics and process engineering concepts Discusses how to create value by considering data, analytics and processes Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches Reviews a structured approach for analytics execution

We all know that safety should be an integral part of the systems that we build and operate. The public demands that they are protected from accidents, yet industry and government do not always know how to reach this common goal. This book gives engineers and managers working in companies and governments around the world a pragmatic and reasonable approach to system safety and risk assessment techniques. It explains in easy-to-understand language how to design workable safety management systems and implement tested solutions immediately.

The book is intended for working engineers who know that they need to build safe systems, but aren’t sure where to start. To make it easy to get started quickly, it includes numerous real-life engineering examples. The book’s many practical tips and best practices explain not only how to prevent accidents, but also how to build safety into systems at a sensible price. The book also includes numerous case studies from real disasters that describe what went wrong and the lessons learned.

See What’s New in the Second Edition:

New chapter on developing government safety oversight programs and regulations, including designing and setting up a new safety regulatory body, developing safety regulatory oversight functions and governance, developing safety regulations, and how to avoid common mistakes in government oversight

Significantly expanded chapter on safety management systems, with many practical applications from around the world and information about designing and building robust safety management systems, auditing them, gaining internal support, and creating a safety culture

New and expanded case studies and "Notes from Nick’s Files" (examples of practical applications from the author’s extensive experience)

Increased international focus on world-leading practices from multiple industries with practical examples, common mistakes to avoid, and new thinking about how to build sustainable safety management systems

New material on safety culture, developing leading safety performance indicators, safety maturity model, auditing safety management systems, and setting up a safety knowledge management system

Table of Contents

Foreword

Preface to the Second Edition

Preface to the First Edition

Acknowledgments

Author

Introduction

Why Do We Need Safety Engineering?

What Is Safety Analysis?

System Safety and Risk Assessment

Government Safety Regulations versus Safety from Industry’s Point of View

Brief History of Safety

References

Further Reading

Definitions and Concepts

Makeup of an Accident

How Safe Is Safe Enough?

Case Study: Black Swan Extreme Events, Fukushima Nuclear Disaster

The Accident

What Went Wrong?

Media Nightmare

Lessons Learned of What Could Have Been Done Differently

What Is a Hazard and Other Important Concepts

System Safety versus Safety Management System

System Safety Process

Hazard Identification

Hazard Control

Risk Acceptance

Risk Management versus Safety Management

Hazard Reduction Precedence

Design Out the Hazard

Safety Devices

Warning Devices

Special Procedures and Training

Safety Maturity Model and Safety Management Systems

Leading and Lagging Safety Performance Indicators

Use of Standards in Safety

Government Standards

Industry Standards

Regional Standards, Example: Interoperability in the European Union

International Standards

References

Further Reading

Safety Analysis in Engineering: How Is It Used?

Manufacturing

Consumer Products

Chemical Process and Oil and Gas Industry

Aviation

Mass Transit

Military and Space

Commercial Nuclear Power

References

Further Reading

Safety Management Systems

Safety in the System Life Cycle

System Life Cycle

Safety and the System Life Cycle

Case Studies of Poor Application of Safety in the System Life Cycle

Developing a Robust Safety Management System

Elements of a Safety Management System

Conducting a Diagnostic of Your Safety Management System

Organizational Management and Safety

Management Commitment

Suggested Ideas to Enhance Management Involvement

Safety Management System Organization

System Safety Program: Keystone to a Robust Safety Management System

Elements of a System Safety Program

Setting Up a System Safety Program

Evaluating Contractors and Subcontractors

Emergency Preparedness Programs

Case Study: How a Leading Global Personal Care Products Company Created a Best Practice Safety Program

Common Mistakes in Implementing Safety Programs

Closed-Loop Process

Hazard Tracking and Resolution

System Safety Reviews and Audits

Case Study: Special Commission of Inquiry, Waterfall Rail Accident Safety Management System Audit

Some Words on Safety Governance

Voluntary Protection Program

Safety Culture

What Is Safety Culture?

Measuring Safety Culture

Designing Sustainable Safety Culture: Fitting a Global Company’s Corporate Safety Program into the Local Culture

References

Further Reading

Hazard Analysis

Hazard Analysis Methodology

Preliminary Hazard List

Passenger-Carrying Submersible Example

Hazard Analysis: Preliminary, Subsystem, and System

Facility Hazard Analysis

Operations and Support Hazard Analysis

Examples of Hazard Analyses

Example Hazard Analysis of NASA Laser

Brief Example of a Hazardous Waste Storage Facility Hazard Analysis

References

Further Reading

Process Safety Analysis

Process Hazard Analysis

HAZOP

What-If Analysis and Safety Checklists

Brief HAZOP Example of an Ammonia Fill Station

Example What-If/Safety Checklist for Pressure Test Equipment

References

Further Reading

Fault Tree Analysis

Fault Tree Symbols and Logic

Finding Cut Sets

Fault Tree Quantification

Example of a Fault Tree Construction of a Motor–Pump Pressure System

Common Mistakes in Fault Trees

References

Further Reading

FMECA, Human Factors, and Software Safety

Failure Modes and Effects Analysis

Conducting a Failure Modes and Effects Analysis

Failure Modes, Effects, and Criticality Analysis

Human Factors Safety Analysis

Performance and Human Error

Conducting Human Factors Safety Analysis

Brief Example of Human Factors Safety Analysis: Manual Switchover to Auxiliary Feedwater System

Software Safety

Software Safety Analysis

Software Testing and IV&V

References

Further Reading

Other Techniques

MORT

Energy Trace Barrier Analysis

Sneak Circuit Analysis

Cause–Consequence Analysis

Root Cause Analysis

Bow Tie Analysis

Dispersion Modeling

Test Safety

Comparing the Various Techniques

Advantages and Disadvantages

References

Further Reading

Data Sources and Training

Government Data Banks

Industry Data Banks

Creating Your Own Safety Knowledge Management System: Some Suggestions

Safety Training

Employee Safety Training

Emergency Preparedness and Response Training

Personnel Certification for Hazardous Operations

Sample Safety Training Course Outline for a Microprocessor Production Plant

Safety Awareness Training

References

Further Reading

Accident Reporting, Investigation, Documentation, and Communication

Anatomy of an Accident

Accident Investigation Board

Reporting the Accident

Setting Up a Closed-Loop Reporting System

Example of an Automated System

Forming an Investigation Board

Selecting the Investigation Board

Conducting the Investigation

Investigation Report

Documenting the Accident

Retention of Records

Public Release of Information

Accident Investigation Lessons Learned

Communicating the Accident to the Public

Developing a Crisis Communication Plan

Common Mistakes: What Not to Say and Do

References

Further Reading

Government Regulations and Safety Oversight

Safety Regulatory Oversight

Key Components of a Safety Regulatory Regime

Description of Different Regulatory Oversight Models

Case Study: Setting Up a Safety Oversight Body from Scratch

Safety Oversight Functions and Governance

More Effective Safety Service Delivery

Safety Oversight Organization Options

Sample Safety Oversight Organization

Example Process Safety Oversight in the United States

Aligning Resource Needs to the Oversight Organization: How to Do More with Less

Case Study: U.S. Federal Aviation Administration, Improving Oversight through System Safety

Common Mistakes in Government Oversight Programs

References

Further Reading

Risk Assessment

What Is Risk?

Risk Perception

Risk Assessment Methodology

Identifying Risk in a System

Risk Communication

References

Further Reading

Risk Evaluation

Probabilistic Approach

Risk Analysis Model

Developing Accident Scenarios and Initiating Events

Event Trees

Consequences Determination

Uncertainty

Risk Evaluation: The Use of Risk Profiles

Calculating Safety Costs

Brief Example: Risk Assessment of Launching a Space Shuttle Payload

References

Further Reading

Appendix A: Typical Energy Sources

Appendix B: Generic Hazard Checklist

Appendix C: Generic Facility Safety Checklist

Appendix D: Internet Sources

Index

This book constitutes the proceedings of the Third Asia Pacific Requirements Engineering Symposium, APRES 2016, held in Nagoya, Japan, in November 2016. The 7 full papers presented together with three short papers, were carefully reviewed and selected from 14 submissions. The papers are organized in topical sections on requirements traceability and prioritization; requirements modeling and process for quality; requirements validation; requirements analysis.

Now in its fourth edition, this book allows for early career occupational hygienists and occupational health and safety professionals or students to develop their basic skills and knowledge to anticipate, recognize, evaluate, and control workplace hazards that can result in injury, illness, impairment, or affect the well-being of workers and members of the community. Principles of Occupational Health and Hygiene: An Introduction, Fourth Edition offers a comprehensive overview of occupational health risks and hazardous environments encountered in a range of industries and organizational settings.

This new edition offers information on the current techniques and equipment used in assessing workplace hazards. Methods of assessment are developing at a rapid rate due to the new technologies now available. Featuring new chapters on occupational hygiene statistics and psychosocial hazards and fully updated throughout, leading industry professionals and educators explain how to identify key workplace hazards including chemical agents such as dusts, metals and gases; physical agents such as noise, radiation and extremes of heat and cold; and microbiological agents. The book highlights assessment procedures and processes for identifying exposure levels and explains how to evaluate risk and follow safety guidelines to control and manage these hazards effectively. Highly illustrated, up to date with current Workplace Health and Safety legislation and written in a jargon-free manner, this book will be a bible to any student or professional.

Principles of Occupational Health and Hygiene: An Introduction, Fourth Edition is an essential reference for students, early career Occupational Hygienists professionals and anyone in an Occupational Health and Safety role.

Table of Contents

Contents

Foreword

Preface

Editor biography

Author biographies

Acknowledgements

Abbreviations and definitions

1. The hazardous work environment: the hygiene challenge

Charles Steer, Melanie Windust and Kate Cole, OAM

2.Occupational health, basic toxicology and epidemiology

Martyn Cross and Geza Benke

3.The concept of the exposure standard

Robert Golec and Ian Firth

4.Occupational Hygiene Statistics

Peter Knott and David Lowry

5.Control of workplace health hazards

Kerrie Burton and Kelly Johnstone

6.Industrial ventilation

Elaine Lindars and Anthony Bamford

7. Personal protective equipment

Mark Reggers and Terry Gorman

8.Aerosols

Linda Apthorpe and Jennifer Hines

9.Metals in the workplace

Ian Firth and Ron Capil

10.Gases and vapours

Aleks Todorovic and Michael Logan

11.Biological monitoring of chemical exposure

Greg O'Donnell and Martin Mazereeuw

12.Indoor air quality

Michael Shepherd and Claire Bird

13.Biological hazards

Margaret Davidson, Ryan Kift, Ken Martinez, and Joshua Schaffer

14.Noise and vibration

Beno Groothoff and Jane Whitelaw

15.Radiation—ionising and non-ionising

Geza Benke and Martin Ralph

16.The thermal environment

Ross Di Corleto and Jodie Britton

17.Lighting

SoYoung Lee, Dino Pisaniello and Bruno Piccoli

18.Occupational hygiene tools and sources

Sue Reed, Linda Apthorpe, Adelle Liebenberg and Ian Firth

Index

Demonstrates How To Perform FMEAs Step-by-Step Originally designed to address safety concerns, Failure Mode and Effect Analysis (FMEA) is now used throughout the industry to prevent a wide range of process and product problems. Useful in both product design and manufacturing, FMEA can identify improvements early when product and process changes are relatively easy and inexpensive to make. Updated to include changes reflected in ISO/TX-16949:2002 standards and 2008 AIAG guidelines, The Basics of FMEA, Second Edition continues to provide the expert advice needed to help shorten the learning curve for FMEA teams to conduct effective and efficient FMEAs, even if it is their very first one. Includes Ready-to-Use Worksheet Templates Using a manufacturing case study, readers learn step-by-step how to use FMEAs to assess, evaluate, and prioritize areas of risk, and then to implement the actions needed to reduce risks to an acceptable level. It shows the steps needed to ferret out potential problems and prevent making inferior products that could endanger public and worker safety and compromise profits as well as the future of all stakeholders. Although engineers have typically analyzed processes and products for potential failures, the FMEA process standardizes the approach and establishes a common language that nontechnical as well as technical employees can use at all levels. Unlike other improvement tools, FMEA does not require complicated statistics. However, they require a full commitment to quality and a willingness to take a team approach that involves all stakeholders.