Risk Analysis of Complex and Uncertain Systems

Author: Louis Anthony Cox Jr.
Publisher: Springer Science & Business Media
ISBN: 9780387890142
Format: PDF, Mobi
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In Risk Analysis of Complex and Uncertain Systems acknowledged risk authority Tony Cox shows all risk practitioners how Quantitative Risk Assessment (QRA) can be used to improve risk management decisions and policies. It develops and illustrates QRA methods for complex and uncertain biological, engineering, and social systems – systems that have behaviors that are just too complex to be modeled accurately in detail with high confidence – and shows how they can be applied to applications including assessing and managing risks from chemical carcinogens, antibiotic resistance, mad cow disease, terrorist attacks, and accidental or deliberate failures in telecommunications network infrastructure. This book was written for a broad range of practitioners, including decision risk analysts, operations researchers and management scientists, quantitative policy analysts, economists, health and safety risk assessors, engineers, and modelers.

Structural Performance

Author: Christian Cremona
Publisher: John Wiley & Sons
ISBN: 1118601157
Format: PDF, Kindle
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This book covers the development of efficient methods for the assessment and the management of civil structures is today a major challenge from economical, social and environmental aspects. Tools for handling uncertainties in loads, geometry, material properties, construction and operating conditions are nowadays essential. Covers the key concepts across topics including probability theory and statistics, structural safety, performance-based assessment, modelling uncertainties and principles of decision theory.

Safety Reliability and Risk Analysis

Author: R.D.J.M. Steenbergen
Publisher: CRC Press
ISBN: 1315815591
Format: PDF, ePub, Mobi
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During the last decade there have been increasing societal concerns over sustainable developments focusing on the conservation of the environment, the welfare and safety of the individual and at the same time the optimal allocation of available natural and financial resources. As a consequence the methods of risk and reliability analysis are becoming increasingly important as decision support tools in various fields of engineering. In this book, the risk and reliability research community looks beyond the horizon. The technology we deploy to fix today’s problems is based on research that started more than two decades ago. What we are doing today should make a difference for tomorrow. Developing innovative new knowledge and applications helps engineers to better play the important role they have for society in establishing the basis for decision making. Safety, Reliability and Risk Analysis: Beyond the Horizon contains the papers presented at the 22nd European Safety and Reliability (ESREL 2013) annual conference in Amsterdam, The Netherlands. The abstracts book (785 pages) + full paper CD-ROM (3426 pages) cover a wide range of topics for which risk analysis forms an indispensable field of knowledge to ensure sufficient safety: Uncertainty Analysis, Accident and Incident Modeling, Human Factors and Human Reliability, System Reliability, Structural Reliability, Safety in Civil Engineering, Quantitative Risk Assessment, Prognostics and System Health Management, Occupational Safety, Mathematical Methods in Reliability and Safety, and Maintenance Modeling and Applications. Applications in different industrial areas are shown: Natural Hazards, Land Transportation, Aeronautics Aerospace, Chemical and Process Industry, Critical Infrastructures, Manufacturing, Security, Nuclear Industry, Energy, Maritime Transportation, and Information Technology.

Operations Research Management Science at Work

Author: Erhan Kozan
Publisher: Springer Science & Business Media
ISBN: 9780792375883
Format: PDF, Docs
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There is synergy between the diverse methodologies ofOperations Research and Management Science, and the many problems itseeks to solve. "Operation Research/Management Science at Work" isan example of that synergy. The principal aim of this book is toexamine selected recent research in and applications of OperationalResearch/Management Science. The focus is on research that is ofindustry interest and covers a wide range of topics from major fieldsof OR/MS in a systematic and coherent fashion. Each application ischosen to demonstrate the elegance of their implementations. The bookmeets the needs of applied researchers who are interested inapplications of OR/MS algorithms. Moreover, real world problemstogether with their solutions and implementations are the applicationsthat have been selected for the volume.The Asia Pacific region has embraced business applications of decisionsupport systems in recent years. Many of these applications have thestate of the art OR/MS techniques in this region embedded in them.Hence, the increased use of OR/MS techniques in this region providesopportunities for identifying methodological advances that are takingplace as a result of the unique nature of the applications. These alsoprovide opportunities for exploring synergies and interfaces thatexist between OR/MS, both in terms of applications and theoreticaladvances.

Nutritional Care of the Patient with Gastrointestinal Disease

Author: Alan L Buchman
Publisher: CRC Press
ISBN: 1138001236
Format: PDF
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This evidence-based book serves as a clinical manual as well as a reference guide for the diagnosis and management of common nutritional issues in relation to gastrointestinal disease. Chapters cover nutrition assessment; macro- and micronutrient absorption; malabsorption; food allergies; prebiotics and dietary fiber; probiotics and intestinal microflora; nutrition and GI cancer; nutritional management of reflux; nutrition in IBS and IBD; nutrition in acute and chronic pancreatitis; enteral nutrition; parenteral nutrition; medical and endoscopic therapy of obesity; surgical therapy of obesity; pharmacologic nutrition, and nutritional counseling.

Handbook of Operations Research in Natural Resources

Author: Andres Weintraub
Publisher: Springer Science & Business Media
ISBN: 038771815X
Format: PDF, Mobi
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Here is the first systematic handbook treatment of quantitative modeling natural resource problems, their allocated efficient use, and societal and economic impact. Andrés Weintraub is the very top person in Natural Resource research. He has selected co-editors who are at the top of the sub-fields in natural resources: agriculture, fisheries, forestry, and mining. The book covers these areas with contributions from researchers on, among others, modeling natural research problems, quantifying data, and developing algorithms.

Healthcare Analytics

Author: Hui Yang
Publisher: John Wiley & Sons
ISBN: 1119374642
Format: PDF, Mobi
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Features of statistical and operational research methods and tools being used to improve the healthcare industry With a focus on cutting-edge approaches to the quickly growing field of healthcare, Healthcare Analytics: From Data to Knowledge to Healthcare Improvement provides an integrated and comprehensive treatment on recent research advancements in data-driven healthcare analytics in an effort to provide more personalized and smarter healthcare services. Emphasizing data and healthcare analytics from an operational management and statistical perspective, the book details how analytical methods and tools can be utilized to enhance healthcare quality and operational efficiency. Organized into two main sections, Part I features biomedical and health informatics and specifically addresses the analytics of genomic and proteomic data; physiological signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the design of cyber infrastructures for early prediction of epidemic events. Part II focuses on healthcare delivery systems, including system advances for transforming clinic workflow and patient care; macro analysis of patient flow distribution; intensive care units; primary care; demand and resource allocation; mathematical models for predicting patient readmission and postoperative outcome; physician–patient interactions; insurance claims; and the role of social media in healthcare. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement also features: • Contributions from well-known international experts who shed light on new approaches in this growing area • Discussions on contemporary methods and techniques to address the handling of rich and large-scale healthcare data as well as the overall optimization of healthcare system operations • Numerous real-world examples and case studies that emphasize the vast potential of statistical and operational research tools and techniques to address the big data environment within the healthcare industry • Plentiful applications that showcase analytical methods and tools tailored for successful healthcare systems modeling and improvement The book is an ideal reference for academics and practitioners in operations research, management science, applied mathematics, statistics, business, industrial and systems engineering, healthcare systems, and economics. Healthcare Analytics: From Data to Knowledge to Healthcare Improvement is also appropriate for graduate-level courses typically offered within operations research, industrial engineering, business, and public health departments.

Project Scheduling

Author: Erik Leuven Demeulemeester
Publisher: Springer Science & Business Media
ISBN: 0306481421
Format: PDF, Docs
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Our objectives in writing Project Scheduling: A Research Handbook are threefold: (1) Provide a unified scheme for classifying the numerous project scheduling problems occurring in practice and studied in the literature; (2) Provide a unified and up-to-date treatment of the state-of-the-art procedures developed for their solution; (3) Alert the reader to various important problems that are still in need of considerable research effort. Project Scheduling: A Research Handbook has been divided into four parts. Part I consists of three chapters on the scope and relevance of project scheduling, on the nature of project scheduling, and finally on the introduction of a unified scheme that will be used in subsequent chapters for the identification and classification of the project scheduling problems studied in this book. Part II focuses on the time analysis of project networks. Part III carries the discussion further into the crucial topic of scheduling under scarce resources. Part IV deals with robust scheduling and stochastic scheduling issues. Numerous tables and figures are used throughout the book to enhance the clarity and effectiveness of the discussions. For the interested and motivated reader, the problems at the end of each chapter should be considered as an integral part of the presentation.

Modeling Uncertainty

Author: Moshe Dror
Publisher: Springer Science & Business Media
ISBN: 9780792374633
Format: PDF, Docs
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Modeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends and colleagues of Sid Yakowitz in his honor. Fifty internionally known scholars have collectively contributed 30 papers on modeling uncertainty to this volume. Each of these papers was carefully reviewed and in the majority of cases the original submission was revised before being accepted for publication in the book. The papers cover a great variety of topics in probability, statistics, economics, stochastic optimization, control theory, regression analysis, simulation, stochastic programming, Markov decision process, application in the HIV context, and others. There are papers with a theoretical emphasis and others that focus on applications. A number of papers survey the work in a particular area and in a few papers the authors present their personal view of a topic. It is a book with a considerable number of expository articles, which are accessible to a nonexpert - a graduate student in mathematics, statistics, engineering, and economics departments, or just anyone with some mathematical background who is interested in a preliminary exposition of a particular topic. Many of the papers present the state of the art of a specific area or represent original contributions which advance the present state of knowledge. In sum, it is a book of considerable interest to a broad range of academic researchers and students of stochastic systems.