This book combines the topics of Root Cause Analysis (RCA) and Lubrication Degradation Mechanisms (LDM) with the goal of allowing the reader to develop the disciplined thought process for getting to the root causes of each of the degradation mechanisms. This new way of thinking can be applied to other areas within their facility to mitigate or eliminate any future recurrence. Lubrication Degradation: Getting into the Root Causes strives to break down the complex topic of Lubrication Degradation into its six most common failure mechanisms. It presents the mechanisms as manageable components and then teaches the reader how to identify the typical root causes associated with each failure mechanism. The main aim of this book is to get the audience to look past the physical root causes and really unearth the underlying human and/or systemic roots to prevent recurrence of these types of failures. The book offers a field-proven and practical root cause analysis approach. An ideal practical book for industry professionals involved with Plant Operations, Engineering, Management, Maintenance, Reliability, Quality, and also useful for Technicians.

This book is a collection of applications of analytic techniques to a number of popular sports including baseball, basketball, hockey, Jai Alai, NFL football and horseracing. We focus on both the statistics of the sporting events and betting strategies on the events. The subject is fascinating as there are many twists and subtle complicated decisions.Sports analytics applies mathematical and statistical methods to important questions in the structure and performance of sporting activities using the same basic methods and approaches as data analysts in other disciplines.Sports games and events are a fruitful area for study and to evaluate betting strategies as there is extensive data and mean reversion. With prices changing continuously, risk arbitrage bets can be made. Moreover, little errors, like a penalty to a player or an error in a call by a referee, can change the score of a game and corresponding betting prices. The collection and analysis of in-game data can inform players, coaches and staff on effective decision making during sporting events.Novel features of the book include: an analysis of who were the greatest baseball batters; analyses of the players most important to team success (and they are not necessarily the best players) in basketball, NFL football and hockey; a tutorial on risk arbitrage and its applications to NFL football and NBA basketball; a discussion of many ad hoc decision rules by coaches and players and what was really optimal; in the racing section we discuss breeding, the analysis of various bets like the Rainbow and ordinary Pick 6, a discussion and betting on the most important races and a visit to the Breeders' Cup with Ed Thorp to demonstrate the place and show system in action.

This volume brings together both political and educational scientists. While educational research literature has so far not systematically addressed the tool of simulations of decision-making, political scientists have hardly used insights from research on assessment or on motivation and interest of students. Almost all political science publications on simulations merely discuss how to implement the tool in class and fall short of providing evidence of the effects on student outcomes such as increased interest and performance. Combining the two disciplines is mutually enriching. Political science benefits from state of the art educational science measuring and testing of the claims made by the proponents of simulations, while educational sciences adds the systematic analysis of simulations of decision-making to their list of empirical objects, which also adds insights to the theories on the affective component of student learning. It is the explicit aim of the volume to address how simulating decision-making environments fosters learning. Implications for research and practice regarding student learning are addressed in all chapters.

Provides an insight to safety managers in analyzing bad events and the ways to deal with them. Covers randomness, uncertainty, and predictability in detail. Explains concepts including reverse stress testing, real-time monitoring, and predictive maintenance in a comprehensive manner. Presents mathematical analysis of incidents and accidents using statistics and probabilities theories.

How do accidents and disasters occur? How has knowledge of accident processes evolved? A significant improvement in safety has occurred during the past century, with the number of accidents falling spectacularly within industry, aviation and road traffic. This progress has been gradual in the context of a changing society. The improvements are partly due to a better understanding of the accident processes that ultimately lead to damage. This book shows how contemporary crises instigated the development of safety knowledge and how the safety sciences pieced their theories together by research, by experience and by taking ideas from other domains. From Safety to Safety Science details 150 years of knowledge development in the safety sciences. The authors have rigorously extracted the essence of safety knowledge development from more than 2,500 articles to provide a unique overview and insight into the background and usability of safety theories, as well as modelling how they developed and how they are used today. Extensive appendices and references provide an additional dimension to support further scholarly work in this field. The book is divided into clear time periods to make it an accessible piece of science history that will be invaluable to both new and experienced safety researchers, to safety courses and education, and to learned practitioners.

This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

This book discusses risk management as it applies to problem-solving for simple, complex and wicked problems faced by policy creators and implementors, project managers and systems engineers in the context of policies, large engineering projects (LEPs), projects and systems. When applying systems thinking to risk management, it can be seen that risk management applies to almost every action taken in daily life. This book: Introduces the systems approach of integrating risk management into policy creation and implementation, project management and systems engineering, such as the risk framework and the Firm Fixed Price (FFP) contract with penalties and bonuses. Introduces a number of out-of-the box concepts building on the application of the systems thinking tools in the system thinker's toolbox. Points out that integrating risk management into policy and project management and systems engineering is just good management and engineering practice. Discusses the flow of risk in a policy from creation through implementation via LEPs and simpler projects, identifying where risks arise and where they should be dealt with. Presents the risks in the relationship between policy creation, implementation, project management and systems engineering. Discusses risks throughout the policy implementation process and shows how the nature of risks changes from political to financial to technological as implementation proceeds. Discusses managing complexity and specifies the minimum number of elements in a system for it to be defined as, and managed as, complex. Points out that in most instances the traditionally ignored major implementation risk is that of poor performance by personnel. Shows how to proactively incorporate prevention into planning in order to prevent risks, as well as how to mitigate them when they occur.

Nowadays, decision problems are pervaded with incomplete knowledge, i.e., imprecision and/or uncertain information, both in the problem description and in the preferential information. In this volume leading scientists in the field address various theoretical and practical aspects related to the handling of this incompleteness. The problems discussed are taken from multi-objective linear programming, rationality considerations in preference modelling, non-probabilistic utility theory, data fusion, group decision making and multicriteria decision aid. The book is oriented towards researchers, graduate and postgraduate students in decision analysis, fuzzy sets and fuzzy logic, and operations research/management science.

Real risk management is predicated on the eventuality of human erraticism and therefore necessitates the design of resilient systems, such as control measures, policies, procedures, processes, rules, checklists, and protocols, to protect organizations against unpredictability. However, these systems aren't enough to prevent tragedies, they must be paired with an organizational culture that drives employee understanding, adherence, questioning, and enforcement of these systems. Success is conditioned on this interdependent relationship, meaning employees do the right thing, the right way every time, as they unequivocally support the underlying rationale of their organizational systems, mission, and purpose. This dynamic, inculcated way of thinking is intrinsic to high-reliability organizations and should be the aspiration of all executives, managers, and supervisors. Authors Gordon Graham and Paul Fuller impart a wide range of practical information on resilient systems- as these thoughtfully designed protocols, kept up-to-date and properly implemented, serve to minimize organizational risk in the water and wastewater industry. Features: Offers guidance for organizations to maximize service, enhance safety, and minimize liability. Presents fundamental background on risk, systems, risk management, as well as factors leading to industrial tragedies and how to avoid or mitigate them. Includes practical examples to demonstrate the necessary steps to transform a water facility into a highly reliable and safe organization. Centering on organizational risk management, Practitioner's Handbook of Risk Management for Water & Wastewater Systems provides the investigative tools for risk assessments and risk/frequency matrixes to effectively recognize and prioritize the thousands of risks facing professionals working in the water and wastewater industry today.

Offers a basic understanding of the issues and processes involved in decision-making Presents the tools involved in problem analysis Discusses the tools that enable developing alternatives and judgement criteria Covers tools used to normalize judgement criteria achievement so that they are comparable across measures with differing scales Explores the methods used for selecting a best alternative when multiple decision criteria are relevant requiring the elicitation of preferred information of the decision maker

"Foundations of Risk Analysis" presents the issues core to risk analysis - understanding what risk means, expressing risk, building risk models, addressing uncertainty, and applying probability models to real problems. The author provides the readers with the knowledge and basic thinking they require to successfully manage risk and uncertainty to support decision makin"g." This updated edition reflects recent developments on risk and uncertainty concepts, representations and treatment.

""New material in "Foundations of Risk Analysis "includes: An up to date presentation of how to understand, define and describe risk based on research carried out in recent years. A new definition of the concept of vulnerability consistent with the understanding of risk.Reflections on the need for seeing beyond probabilities to measure/describe uncertainties. A presentation and discussion of a method for assessing the importance of assumptions (uncertainty factors) in the background knowledge that the subjective probabilities are based on A brief introduction to approaches that produce interval (imprecise) probabilities instead of exact probabilities.

In addition the new version provides a number of other improvements, for example, concerning the use of cost-benefit analyses and the As Low As Reasonably Practicable (ALARP) principle.

"Foundations of Risk Analysis" provides a framework for understanding, conducting and using risk analysis suitable for advanced undergraduates, graduates, analysts and researchers from statistics, engineering, finance, medicine and the physical sciences, as well as for managers facing decision making problems involving risk and uncertainty.

This book is a collection of applications of analytic techniques to a number of popular sports including baseball, basketball, hockey, Jai Alai, NFL football and horseracing. We focus on both the statistics of the sporting events and betting strategies on the events. The subject is fascinating as there are many twists and subtle complicated decisions.Sports analytics applies mathematical and statistical methods to important questions in the structure and performance of sporting activities using the same basic methods and approaches as data analysts in other disciplines.Sports games and events are a fruitful area for study and to evaluate betting strategies as there is extensive data and mean reversion. With prices changing continuously, risk arbitrage bets can be made. Moreover, little errors, like a penalty to a player or an error in a call by a referee, can change the score of a game and corresponding betting prices. The collection and analysis of in-game data can inform players, coaches and staff on effective decision making during sporting events.Novel features of the book include: an analysis of who were the greatest baseball batters; analyses of the players most important to team success (and they are not necessarily the best players) in basketball, NFL football and hockey; a tutorial on risk arbitrage and its applications to NFL football and NBA basketball; a discussion of many ad hoc decision rules by coaches and players and what was really optimal; in the racing section we discuss breeding, the analysis of various bets like the Rainbow and ordinary Pick 6, a discussion and betting on the most important races and a visit to the Breeders' Cup with Ed Thorp to demonstrate the place and show system in action.

Meets the need for Engineers to have a single volume that considers Reliability, Maintainability, and Safety Offers examples along with their solutions at the end of each chapter to test reader comprehension Discusses the importance of how these 3 topics need to work hand in hand for today's world economy Written in such a manner that the reader will not need previous knowledge to understand it Provides many sources for further reading

This book is written to empower risk professionals to turn analytics and models into deployable solutions with minimal IT intervention. Corporations, especially financial institutions, must show evidence of having quantified credit, market and operational risks. They have databases but automating the process to translate data into risk parameters remains a desire.Modelling is done using software with output codes not readily processed by databases. With increasing acceptance of open-source languages, database vendors have seen the value of integrating modelling capabilities into their products. Nevertheless, deploying solutions to automate processes remains a challenge. While not comprehensive in dealing with all facets of risks, the author aims to develop risk professionals who will be able to do just that.

The second volume of companion books on comparative student discipline identifies the best practices in dealing with student misconduct, on six continents, in a legally sound manner. It is essential for educators to examine national as well as international practices addressing student misconduct in schools because learner misbehavior often has a detrimental effect on the quality of teaching and learning in elementary and secondary schools. The countries covered are Brazil, China, Malaysia, Turkey and South Africa.

Conducted properly, information security risk assessments provide managers with the feedback needed to manage risk through the understanding of threats to corporate assets, determination of current control vulnerabilities, and appropriate safeguards selection. Performed incorrectly, they can provide the false sense of security that allows potential threats to develop into disastrous losses of proprietary information, capital, and corporate value. Picking up where its bestselling predecessors left off, The Security Risk Assessment Handbook: A Complete Guide for Performing Security Risk Assessments, Third Edition gives you detailed instruction on how to conduct a security risk assessment effectively and efficiently, supplying wide-ranging coverage that includes security risk analysis, mitigation, and risk assessment reporting. The third edition has expanded coverage of essential topics, such as threat analysis, data gathering, risk analysis, and risk assessment methods, and added coverage of new topics essential for current assessment projects (e.g., cloud security, supply chain management, and security risk assessment methods). This handbook walks you through the process of conducting an effective security assessment, and it provides the tools, methods, and up-to-date understanding you need to select the security measures best suited to your organization. Trusted to assess security for small companies, leading organizations, and government agencies, including the CIA, NSA, and NATO, Douglas J. Landoll unveils the little-known tips, tricks, and techniques used by savvy security professionals in the field. It includes features on how to Better negotiate the scope and rigor of security assessments Effectively interface with security assessment teams Gain an improved understanding of final report recommendations Deliver insightful comments on draft reports This edition includes detailed guidance on gathering data and analyzes over 200 administrative, technical, and physical controls using the RIIOT data gathering method; introduces the RIIOT FRAME (risk assessment method), including hundreds of tables, over 70 new diagrams and figures, and over 80 exercises; and provides a detailed analysis of many of the popular security risk assessment methods in use today. The companion website (infosecurityrisk.com) provides downloads for checklists, spreadsheets, figures, and tools.

Offers a basic understanding of the issues and processes involved in decision-making Presents the tools involved in problem analysis Discusses the tools that enable developing alternatives and judgement criteria Covers tools used to normalize judgement criteria achievement so that they are comparable across measures with differing scales Explores the methods used for selecting a best alternative when multiple decision criteria are relevant requiring the elicitation of preferred information of the decision maker

Managing Towards Supply Chain Maturity takes a view of the crucial issues involved in supply chain management, namely risk, information and social capital management. Over the last dozen or so years, the outsourcing and offshoring processes have grown in importance. It is now more and more the case that enterprises concentrate on their key competences while transferring operations or specific tasks to other countries. Modern supply chains are becoming supply networks; hence there is a need for conscious and concerted implementation of methods to manage risk, information and social capital. These issues are very important for the efficiency and competitiveness of supply chains and are discussed in detail. The discussion includes the results of research and introduces the concept of risk, information and social capital management that will ensure supply chain excellence and maturity according to the Poirier's model that has been taken as the point of reference for this study. From a managerial point of view this study can play a significant role in determining the best risk and information management practices in the context of the outsourcing and offshoring of business processes.

Presents various challenges faced by security policy makers and risk analysts, and mathematical approaches that inform homeland security policy development and decision support Compiled by a group of highly qualified editors, this book provides a clear connection between risk science and homeland security policy making and includes top-notch contributions that uniquely highlight the role of risk analysis for informing homeland security policy decisions. Featuring discussions on various challenges faced in homeland security risk analysis, the book seamlessly divides the subject of risk analysis for homeland security into manageable chapters, which are organized by the concept of risk-informed decisions, methodology for applying risk analysis, and relevant examples and case studies. Applied Risk Analysis for Guiding Homeland Security Policy and Decisions offers an enlightening overview of risk analysis methods for homeland security. For instance, it presents readers with an exploration of radiological and nuclear risk assessment, along with analysis of uncertainties in radiological and nuclear pathways. It covers the advances in risk analysis for border security, as well as for cyber security. Other topics covered include: strengthening points of entry; systems modeling for rapid containment and casualty mitigation; and disaster preparedness and critical infrastructure resilience. Highlights how risk analysis helps in the decision-making process for homeland security policy Presents specific examples that detail how various risk analysis methods provide decision support for homeland security policy makers and risk analysts Describes numerous case studies from academic, government, and industrial perspectives that apply risk analysis methods for addressing challenges within the U.S. Department of Homeland Security (DHS) Offers detailed information regarding each of the five DHS missions: prevent terrorism and enhance security; secure and manage our borders; enforce and administer our immigration laws; safeguard and secure cyberspace; and strengthen national preparedness and resilience Discusses the various approaches and challenges faced in homeland risk analysis and identifies improvements and methodological advances that influenced DHS to adopt an increasingly risk-informed basis for decision-making Written by top educators and professionals who clearly illustrate the link between risk science and homeland security policy making Applied Risk Analysis for Guiding Homeland Security Policy and Decisions is an excellent textbook and/or supplement for upper-undergraduate and graduate-level courses related to homeland security risk analysis. It will also be an extremely beneficial resource and reference for homeland security policy analysts, risk analysts, and policymakers from private and public sectors, as well as researchers, academics, and practitioners who utilize security risk analysis methods.

The book uses a systems-based approach to show how innovation is pervasive in all facets of endeavors, including business, industrial, government, the military, and even academia. It presents chapters that provide techniques and methodologies for achieving the transfer of science and technology assets for innovation applications. By introducing Innovation, the book and offers different viewpoints, both qualitative and quantitative. It includes the role that systems can play and discusses approaches along technical and process issues. There is a showcase of innovation applications, and coverage on how to manage innovation individually as well as within a team and it also includes how to develop, manage, and sustain innovation in various organizations. Open-ended questions and exercises are included at the end of chapters with no need for a solutions manual. Written for the advance-level textbook market as well as for the professional reader, it targets those within the engineering, business, and management fields.

- Sidney Dekker examines how decades of deregulation and privatization have only led to a greater burden of compliance, and why, with so many rules to ensure safety, things can still go spectacularly wrong. - Written for all those with a vested interest in understanding the actual nature of organizational safety and performance, and in doing so make tangible improvements. - The first in a unique trilogy, this book complements Dekker's many best-sellers while broadening his appeal way beyond safety-critical industries.

When is it morally acceptable to expose others to risk? Most moral philosophers have had very little to say in answer to that question, but here is a moral philosopher who puts it at the centre of his investigations. Sven Ove Hansson shows why traditional moral theories are ill suited to deal with risk and uncertainty, and proposes new approaches that can do so much better. The book contains many examples that connect moral philosophy to the practical world of risk management in new ways. This is an important book for moral philosophers as it opens up a new area for ethical investigations. It is equally important for risk analysts and policy makers who need input from moral philosophy in order to deal with the difficult normative issues that arise in decision-making under risk and uncertainty.

This book explores the challenges, opportunities, applications, and implications of applying qualitative research to critical questions of research and practice in the field of organizational risk and safety. The book brings together a diverse perspective to explore the practice of conducting qualitative research as well as to debate the quality of research and knowledge, drawing on a range of different perspectives and traditions. It offers novel and innovative developments in data collection and data analysis methods and tools that can be applied to safety, risk, and accident analysis in complex systems. It also will present practical issues associated with data access and empirical research in challenging and high-stakes environments. This book will provide academics, researchers, students, and professionals in the fields of safety, accident analysis, and risk with a broad-range and expert guide to the key issues and debates in the field, as well as a set of exemplary cases and reflective narratives from leading researchers in the field.

For increasingly data-savvy clients, lawyers can no longer give "it depends" answers rooted in anecdata. Clients insist that their lawyers justify their reasoning, and with more than a limited set of war stories. The considered judgment of an experienced lawyer is unquestionably valuable. However, on balance, clients would rather have the considered judgment of an experienced lawyer informed by the most relevant information required to answer their questions. Data-Driven Law: Data Analytics and the New Legal Services helps legal professionals meet the challenges posed by a data-driven approach to delivering legal services. Its chapters are written by leading experts who cover such topics as: Mining legal data Computational law Uncovering bias through the use of Big Data Quantifying the quality of legal services Data mining and decision-making Contract analytics and contract standards In addition to providing clients with data-based insight, legal firms can track a matter with data from beginning to end, from the marketing spend through to the type of matter, hours spent, billed, and collected, including metrics on profitability and success. Firms can organize and collect documents after a matter and even automate them for reuse. Data on marketing related to a matter can be an amazing source of insight about which practice areas are most profitable. Data-driven decision-making requires firms to think differently about their workflow. Most firms warehouse their files, never to be seen again after the matter closes. Running a data-driven firm requires lawyers and their teams to treat information about the work as part of the service, and to collect, standardize, and analyze matter data from cradle to grave. More than anything, using data in a law practice requires a different mindset about the value of this information. This book helps legal professionals to develop this data-driven mindset.

Captures a moment in history through the experiences of Environmental Health Practitioners in meeting the complex challenges presented by the COVID-19 pandemic. Features the observations of practitioners in the field as to the different practical issues encountered globally, suggesting the lessons learnt for current practice in infectious disease control. Expands upon the reflections of some of the professional bodies around the world as to how the response of EHPs to the COVID-19 pandemic should see a renewed commitment to public health through Environmental Health. Provides a valuable resource to EHPs in current practice and training, other public health professionals and those looking to build a better health protection service, including policy makers.