|
Books > Reference & Interdisciplinary > Communication studies > Decision theory > Risk assessment
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.
The book constitutes a valuable guide to the implementation of the
CNS/ATM system towards ensuring safe, efficient and orderly
evolution of international air transport. It uses a pragmatic
approach in addressing the major legal, institutional, technical,
political and economic aspects underlying the Global Navigation
Satellite System, which is expected to play a fundamental role in
aviation safety and air navigation world-wide. The book also
examines, through well-reasoned analysis and research, the various
controversial and relevant issues which will dominate the system in
the years to come. The author demonstrates a profound grasp of the
subject-matter through a sustained absorption of technical,
institutional and legal principles applying to this complex
subject. This is brought to bear in the coherent structure and
logical organisation of the chapters which makes the book an
invaluable tool for the aviation community, scholars and national
and international regulatory authorities. It will also be immensely
useful for practitioners who work towards further development and
implementation of the CNS/ATM system. There has been no comparable
work previously published.
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.
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.
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.
Layer of protection analysis (LOPA) is a recently developed,
simplified method of risk assessment that provides the much-needed
middle ground between a qualitative process hazard analysis and a
traditional, expensive quantitative risk analysis. Beginning with
an identified accident scenario, LOPA uses simplifying rules to
evaluate initiating event frequency, independent layers of
protection, and consequences to provide an order-of-magnitude
estimate of risk. LOPA has also proven an excellent approach for
determining the safety integrity level necessary for an
instrumented safety system, an approach endorsed in instrument
standards, such as ISA S84 and IEC 61511. Written by industry
experts in LOPA, this pioneering book provides all the necessary
information to undertake and complete a Layer of Protection
Analysis during any stage in a processes' life cycle. Loaded with
tables, charts, and examples, this book is invaluable to technical
experts involved with ensuring the safety of a process. Because of
its simplified, quicker risk assessment approach, LOPA is destined
to become a widely used technique. Join other major companies and
start your LOPA efforts now by purchasing this book.
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.
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.
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.
Compliance has become key to our contemporary markets, societies,
and modes of governance across a variety of public and private
domains. While this has stimulated a rich body of empirical and
practical expertise on compliance, thus far, there has been no
comprehensive understanding of what compliance is or how it
influences various fields and sectors. The academic knowledge of
compliance has remained siloed along different disciplinary
domains, regulatory and legal spheres, and mechanisms and
interventions. This handbook bridges these divides to provide the
first one-stop overview of what compliance is, how we can best
study it, and the core mechanisms that shape it. Written by leading
experts, chapters offer perspectives from across law, regulatory
studies, management science, criminology, economics, sociology, and
psychology. This volume is the definitive and comprehensive account
of compliance.
A remarkable look at how the growth, technology, and politics of
high-frequency trading have altered global financial markets In
today's financial markets, trading floors on which brokers buy and
sell shares face-to-face have increasingly been replaced by
lightning-fast electronic systems that use algorithms to execute
astounding volumes of transactions. Trading at the Speed of Light
tells the story of this epic transformation. Donald MacKenzie shows
how in the 1990s, in what were then the disreputable margins of the
US financial system, a new approach to trading-automated
high-frequency trading or HFT-began and then spread throughout the
world. HFT has brought new efficiency to global trading, but has
also created an unrelenting race for speed, leading to a
systematic, subterranean battle among HFT algorithms. In HFT, time
is measured in nanoseconds (billionths of a second), and in a
nanosecond the fastest possible signal-light in a vacuum-can travel
only thirty centimeters, or roughly a foot. That makes HFT
exquisitely sensitive to the length and transmission capacity of
the cables connecting computer servers to the exchanges' systems
and to the location of the microwave towers that carry signals
between computer datacenters. Drawing from more than 300 interviews
with high-frequency traders, the people who supply them with
technological and communication capabilities, exchange staff,
regulators, and many others, MacKenzie reveals the extraordinary
efforts expended to speed up every aspect of trading. He looks at
how in some markets big banks have fought off the challenge from
HFT firms, and how exchanges sometimes engineer technical systems
to favor certain types of algorithms over others. Focusing on the
material, political, and economic characteristics of high-frequency
trading, Trading at the Speed of Light offers a unique glimpse into
its influence on global finance and where it could lead us in the
future.
This is an update and expansion upon PMI's popular reference, The
Practice Standard for Project Risk Management. Risk Management
addresses the fact that certain events or conditions may occur with
impacts on project, program, and portfolio objectives. This
standard will: identify the core principles for risk management;
describe the fundamentals of risk management and the environment
within which it is carried out; define the risk management life
cycle; and apply risk management principles to the portfolio,
program, and project domains within the context of an enterprise
risk management approach It is primarily written for portfolio,
program, and project managers, but is a useful tool for leaders and
business consumers of risk management, and other stakeholders.
To meet the needs of today, engineered products and systems are an
important element of the world economy, and each year billions of
dollars are spent to develop, manufacture, operate, and maintain
various types of products and systems around the globe. This book
integrates and combines three of those topics to meet today's needs
for the engineers working in these fields. This book provides a
single volume that considers reliability, maintainability, and
safety when designing new products and systems. Examples along with
their solutions are placed at the end of each chapter to test
readers' comprehension. The book is written in a manner that
readers do not need any previous knowledge of the subject, and many
references are provided. This book is also useful to many people,
including design engineers, system engineers, reliability
specialists, safety professionals, maintainability engineers,
engineering administrators, graduate and senior undergraduate
students, researchers, and instructors.
|
|