In the complex, cash-strapped, high pressure world of modern construction, what do you do when something goes wrong? This work looks beyond the best-case scenario to give project managers, contractors, architects and engineers the tools to prepare effectively for the unexpected. Based on the author's more than thirty-five years of construction management experience, the book shows how to proactively mitigate a schedule. It opens with case studies of real life construction mitigation, and goes on to examine the conceptual aspects of anticipating risks and making contingency plans, technical aspects of scheduling, and essential role of communication in change management. Working on the principle that no major project can ever quite go to plan and that "it's not how you start, it's how you finish," Collaborative Risk Mitigation is the ideal complement to traditional scheduling textbooks.

Many decision problems in Operations Research are defined on temporal networks, that is, workflows of time-consuming tasks whose processing order is constrained by precedence relations. For example, temporal networks are used to model projects, computer applications, digital circuits and production processes. Optimization problems arise in temporal networks when a decision maker wishes to determine a temporal arrangement of the tasks and/or a resource assignment that optimizes some network characteristic (e.g. the time required to complete all tasks). The parameters of these optimization problems (e.g. the task durations) are typically unknown at the time the decision problem arises. This monograph investigates solution techniques for optimization problems in temporal networks that explicitly account for this parameter uncertainty. We study several formulations, each of which requires different information about the uncertain problem parameters.

This practical guide covers the steps necessary to sustain quality in a project from start to finish. The book shows how to identify risks at different processes, phases, and stages and offers directions on how to mitigate and reduce risks using analysis, evaluation, and monitoring. Risk Management Applications Used to Sustain Quality in Projects: A Practical Guide focuses on applying risk management principles to manage quality in all project management processes, stages, and phases. The book discusses the potential risks that may occur at the different phases of the project life cycle, their effects on projects, and how to prevent them. It explores all the process elements and activities of risk management and provides steps on how to make the project more qualitative, competitive, and economical. Risk management processes are discussed at each project management processes and project lifecycle phase/stage to help the reader understand how various risks can occur and how to mitigate and reduce them. The main audience for this book is project management professionals, quality managers, systems engineers, construction managers, and risk management professionals as well as industrial engineers, academics, and students.

Planning and management is increasingly problematic in the real-world environment of spiralling change and uncertainty. Knowledge is incomplete, values are in dispute and the decisions of others are often unpredictable.

Problem structuring methods (PSMs) are now widely accepted within Operational Research and the systems movement, and have generated an impressive record of high-profile applications. This new edition provides easier access to PSMs. Each of five methods is presented from both a theoretical and a practical perspective. The justification for each approach is explained, and an illustration of applying each method is given in a practical case study. New topics in line with the many advances in the field of problem structuring methods are explored and multimethodology is introduced for the first time.

This book does not peddle methods for optimum solutions, but instead shows you how to facilitate an enriched and fluid decision-making process. Participatory methods are explained to assist the formulation and re-formulation of problem solving in an uncertain world.

Offering contributions from leading thinkers in the field and building on the success of the first edition, this theoretical guide and practical source will prove invaluable to students of management, systems and OR and to practitioners negotiating real-life problems in today's complex, conflicting and uncertain business climate.

Reviews of the first edition:

'.....probably the most referenced book by JORS authors over the last 10 years.'
J. Ranyard, Journal of Operational Research Society 51 (12), 2001

' . . . a thought provoking collection of articles, delivering a strong message about the way decision analysis is moving.'
Helen Couclelis, University of California at Santa Barbara, USA

' . . .sets out extremely clearly what soft OR is about . . . the editor and authors deserve all credit.'
M.C. Jackson, Systems Practice

The goal of this book is to help business managers and academic researchers understand the means-end perspective and the methods by which it is used, and to demonstrate how to use the means-end approach to develop better marketing and advertising strategy. The authors discuss methodological issues regarding interviewing and coding, present applications of the means-end approach to marketing and advertising problems, and describe the conceptual foundations of the means-end approach.
This book is of interest to academic researchers in marketing and related fields, graduate students in business, marketing research professionals, and business managers. It is intended as a reference book containing ideas about the means-end approach and its applications.

Since 2007, the repeated financial crises around the world have brought to the headlines financial practices and models considered to fuel the economic instabilities. Deep Dive into Financial Models: Modeling Risk and Uncertainty comes handy in demystifying the underlying quantitative finance concepts. With a limited use of mathematical formalism, the book explains thoroughly the models, their hypotheses, principles and other building blocks. A particular care is given to model limitations and their misuse for investment strategies, asset pricing, or risk management. Its reader-friendly nature provides readers with a head start in quantitative finance.

Today's instantaneous and ever-present news stream frequently presents a sensationalized or otherwise distorted view of the world, demanding constant critical engagement on the part of everyday citizens. The Critical Thinker's Guide to Bias, Lies, and Politics in the News reveals the power of critical thinking to make sense of overwhelming and often subjective media by detecting ideology, slant, and spin at work. Building off the Richard Paul and Linda Elder framework for critical thinking, Elder focuses on the internal logic of the news as well as societal influences on the media while illustrating essential elements of trustworthy journalism. With up-to-date discussions of social media, digital journalism, and political maneuvering inside and outside the fourth estate, Fact or Fake is an essential handbook for those who want to stay informed but not influenced by our modern news reporting systems.

Global competition is forcing reliability and other professionals to work closely during the product design and manufacturing phase. Because of this collaboration, reliability, usability, and quality principles are being applied across many diverse sectors of the economy. This book offers the principles, methods, and procedures for these areas in one resource. This book brings together the areas of reliability, usability, and quality for those working in diverse areas to allow them to be exposed to activities that can help them perform their tasks more effectively. This is the only book that covers these areas together in this manner and written in such a way that no previous knowledge is required to understand it. The sources of the material presented are included in the reference section at the end of each chapter along with examples and solutions to test reader comprehension. Applied Reliability, Usability, and Quality for Engineers is useful to design, manufacturing, and systems engineers, as well as manufacturing managers, reliability, usability and, quality specialists. It can also be helpful to graduate, senior undergraduate students, and instructors.

With the recent tightening of air quality standards as mandated by the U.S. EPA, has come great pressure on regulatory bodies at all levels of government, along with the industries and groups affected by these standards, to better assess the hazards and risks that result from air pollutants. Risk Assessment and Indoor Air Quality carefully ties together the tools and methodologies of Risk Assessment to the study of indoor air quality. This informative text takes a look at the problem of long-term exposure to low-level concentrations of toxins. In addition to commonly found toxins, such as chemical fumes from furnishings and carpeting, and indoor use of pesticides, this unique volume discusses risks associated with exposure to indoor allergens and infectious disease pathogens such as Legionnaires Disease. Because few scientific models exist for understanding the dynamics of indoor air quality, Risk Assessment and Indoor Air Quality is an essential resource for all students and professionals involved evaluating, testing and monitoring indoor air quality.

Most approaches that contribute to the design of life-critical systems almost only consider nominal situations where procedures can be developed and used to achieve satisfactory operations. These kinds of approaches lead to rigid ways of doing things and poorly address the needs for flexibility, especially when things go wrong. It is not a matter of human adaptation but of human systems integration (HSI) flexibility. HSI flexibility requires cross-fertilization of appropriate experiences combined with creativity. This book provides risk-management approaches and methods for combining prevention and design. Features: Discusses risk-management approaches and methods for combining prevention and design Examines a transdisciplinary approach to risk management in design and operations of safer life-critical systems Proposes an approach of work analysis during design, which enables design teams to consider HSI issues early enough to fix organizational problems upstream Teaches the combination of prevention and design for safety management This book gathers and analyzes relevant field data to rationalize human and systems activity in various life-critical environments and workplaces, in a systemic manner, and in a variety of safety domains (e.g., aviation, road, navy, manufacturing, hospital, transportation, defense, sport). It further formalizes and analyzes risk-taking experience, expertise, stories about critical events, and scientific and professional literature data to help engineering designers, managers, and health and safety specialists. The text is primarily written for graduate students and professionals working in the fields of occupational health and safety, ergonomics, human factors, cognitive engineering, and human-system integration.

Stress Testing and Risk Integration in Banks provides a comprehensive view of the risk management activity by means of the stress testing process. An introduction to multivariate time series modeling paves the way to scenario analysis in order to assess a bank resilience against adverse macroeconomic conditions. Assets and liabilities are jointly studied to highlight the key issues that a risk manager needs to face. A multi-national bank prototype is used all over the book for diving into market, credit, and operational stress testing. Interest rate, liquidity and other major risks are also studied together with the former to outline how to implement a fully integrated risk management toolkit. Examples, business cases, and exercises worked in Matlab and R facilitate readers to develop their own models and methodologies.

This book presents the concept of the double hierarchy linguistic term set and its extensions, which can deal with dynamic and complex decision-making problems. With the rapid development of science and technology and the acceleration of information updating, the complexity of decision-making problems has become increasingly obvious. This book provides a comprehensive and systematic introduction to the latest research in the field, including measurement methods, consistency methods, group consensus and large-scale group consensus decision-making methods, as well as their practical applications. Intended for engineers, technicians, and researchers in the fields of computer linguistics, operations research, information science, management science and engineering, it also serves as a textbook for postgraduate and senior undergraduate university students.

This is the first book to provide a comprehensive and systematic introduction to the ranking methods for interval-valued intuitionistic fuzzy sets, multi-criteria decision-making methods with interval-valued intuitionistic fuzzy sets, and group decision-making methods with interval-valued intuitionistic fuzzy preference relations. Including numerous application examples and illustrations with tables and figures and presenting the authors' latest research developments, it is a valuable resource for researchers and professionals in the fields of fuzzy mathematics, operations research, information science, management science and decision analysis.

In today's world, deep learning source codes and a plethora of open access geospatial images are readily available and easily accessible. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source Software is the first practical book to introduce deep learning techniques using free open source tools for processing real world remote sensing images. The approaches detailed in this book are generic and can be adapted to suit many different applications for remote sensing image processing, including landcover mapping, forestry, urban studies, disaster mapping, image restoration, etc. Written with practitioners and students in mind, this book helps link together the theory and practical use of existing tools and data to apply deep learning techniques on remote sensing images and data. Specific Features of this Book: The first book that explains how to apply deep learning techniques to public, free available data (Spot-7 and Sentinel-2 images, OpenStreetMap vector data), using open source software (QGIS, Orfeo ToolBox, TensorFlow) Presents approaches suited for real world images and data targeting large scale processing and GIS applications Introduces state of the art deep learning architecture families that can be applied to remote sensing world, mainly for landcover mapping, but also for generic approaches (e.g. image restoration) Suited for deep learning beginners and readers with some GIS knowledge. No coding knowledge is required to learn practical skills. Includes deep learning techniques through many step by step remote sensing data processing exercises.

Featuring a substantial new introduction and two new chapters in the Postscript, this new edition makes one of the most significant works on power available in paperback and online for the first time. The author extensively engages with a body of new literature to elucidate and expand upon the original work, using rational choice theory to provide: * An examination of how, due to the collective action problem, groups can be powerless despite not facing any resistance * Timely engagement with feminist accounts of power * An explanation of the relationship of structure and agency and how to measure power comparatively across societies This book's unique interaction with both classical and contemporary debates makes it an essential resource for anyone teaching or studying power in the disciplines of sociology, philosophy, politics or international relations.

In the field of financial risk management, the 'sell side' is the set of financial institutions who offer risk management products to corporations, governments, and institutional investors, who comprise the 'buy side'. The sell side is often at a significant advantage as it employs quantitative experts who provide specialized knowledge. Further, the existing body of knowledge on risk management, while extensive, is highly technical and mathematical and is directed to the sell side.This book levels the playing field by approaching risk management from the buy side instead, focusing on educating corporate and institutional users of risk management products on the essential knowledge they need to be an intelligent buyer. Rather than teach financial engineering, this volume covers the principles that the buy side should know to enable it to ask the right questions and avoid being misled by the complexity often presented by the sell side.Written in a user-friendly manner, this textbook is ideal for graduate and advanced undergraduate classes in finance and risk management, MBA students specializing in finance, and corporate and institutional investors. The text is accompanied by extensive supporting material including exhibits, end-of-chapter questions and problems, solutions, and PowerPoint slides for lecturers.

Providing new knowledge on risk analysis and simulation for megaprojects, this book is essential reading for both academics and practitioners. Its focus is on technical descriptions of a newly developed dynamic systems approach to megaproject risk analysis and simulation. This is backed up by a discussion of the methodology as applied in a comprehensive case study on the Edinburgh Tram Network (ETN) project. The book informs both academic researchers and megaproject stakeholders with the latest information on risk as applied to megaprojects. As well as the complete case study, the book includes a general risk analysis framework for megaprojects, an analytic network process (ANP) method for risk quantification, a system dynamics (SD) method for risk simulation, and practical guides for the application of the dynamic systems approach in megaproject research and practice.

Technology failures, data loss, issues with providers of outsourced services, misconduct and mis-selling are just some of the top risks that keep financial firms up at night. In this context effective operational risk management is, simply, a commercial necessity. The management of operational risk, defined by the Basel Accord as arising from failures of processes, people, systems or external events, has developed considerably since its early years. Continued regulatory focus and catastrophic industry events have led to operational risk becoming a crucial topic on senior management's agenda. This book is a practical guide for practitioners which focuses on how to establish effective solutions and avoid common pitfalls. Filled with frameworks, examples and diagrams, this book offers clear advice on key practices including conducting risk assessments, assessing change initiatives, designing key risk indicators, establishing scenario analysis, drafting appetite statements and carrying out risk reporting. Operational Risk Management in Financial Services also features results from polls taken by risk practitioners which provide a snapshot of current practices and allow the reader to benchmark themselves against other firms. This is the essential guide for professionals looking to derive value out of operational risk management, rather than applying a compliance 'tick box' approach.

Enterprise Risk Management: Advances on its Foundation and Practice relates the fundamental enterprise risk management (ERM) concepts and current generic risk assessment and management principles that have been influential in redefining the risk field over the last decade. It defines ERM with a particular focus on understanding the nexus between risk, uncertainty, knowledge and performance. The book argues that there is critical need for ERM concepts, principles and methods to adapt to the latest and most influential risk management developments, as there are several issues with outdated ERM theories and practices; problems include the inability to effectively and systematically balance both opportunity and downside performance, or relying too much on narrow probability-based perspectives for risk assessment and decision-making. It expands traditional loss-based risk principles into new and innovative performance-risk frameworks, and presents fundamental risk principles that have recently been developed by the Society for Risk Analysis (SRA). All relevant statistical and risk concepts are clearly explained and interpreted using minimal mathematical notation. The focus of the book is centered around ideas and principles, more than technicalities. The book is primarily intended for risk professionals, researchers and graduate students in the fields of engineering and business, and should also be of interest to executive managers and policy makers with some background in quantitative methods such as statistics.

This book arose out of a conference on "Epistemic Logic and the Theory of Games and Decisions" that took place in January 1994 at the Centre Inter- national de Recherches Mathematiques in Marseille. The convergence of game theory and epistemic logic has been in progress for two decades. The aim of the conference was to explore this rapprochement further by gathering spe- cialists from different professional communities, i. e. , economics, mathematics, philosophy, and computer science. Also, the organizors aimed at fostering the work centered on the issues of knowledge and belief that has recently been pursued amongst game theorists and decision theorists. The conference was funded by the following institutions: Centre National de la Recherche Sci- entifique (France), Ministere de l'Enseignement Superieur et de la Recherche (France), Association pour Ie Developpement de la Recherche en Economie et Statistique (France). It was also supported by the Human Capital and Mobility Programme of the EU, as well as, locally, by the Ville de Marseille. We would like to express our gratitude to these institutions for their generous help. Despite the success of the conference, it was not the editors' intention to circulate just another volume of proceedings in the usual style. Throughout the more than two-year editorial process, they have pursued the goal of providing a no doubt non-exhaustive, but hopefully thorough and accurate, state of the art account of a promising field of research.

A prominent scholar once noted that lotteries in politics and society-to break vote ties, assign students to schools, draft people into the military, select juries-are "at first thought absurd, and at second thought obvious." Lotteries have been part of politics since the Greek and Roman times, and they are used frequently in American politics today. When there is a two-to-two vote tie for prospective school board members, officials will often resort to flipping a coin (as happened recently in California). And in military drafts, the conventional wisdom is that random selection is far more just than non-lottery drafts. Northerners rioted against the perceived injustice of the non-random draft during the Civil War, and Americans by and large believed that student deferments subverted the justice of the draft during the Vietnam War. Over the years, people who study and practice politics have devoted considerable effort to thinking about the legitimacy of lotteries and whether they are just or not under certain circumstances. Yet they have really only focused on lotteries on a case-by-case basis, and no one has ever developed a substantial and comprehensive political theory of lotteries. In The Luck of the Draw, Peter Stone does just that. Examining the wide range of arguments for and against lotteries, Stone comes to the startling conclusion that lotteries have only one crucial effect relevant to decision-making: they have the "sanitizing effect" of preventing decisions from being made on the basis of reasons. Stone readily admits that this rationale might sound absurd to us, but contends that in many instances it is vital for people to make decisions without any reasoned rationale to compel them. Sometimes, justice can only be carried out through random selection-a fundamental principle of the practice of lottery that Stone comes to call "The Just Lottery Rule." By developing innovative ways for interpreting this pervasive form of political practice, Stone provides us with a foundation for understanding how to best make use of lottery when making political decisions both large and small.