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Books in Decision sciences

Our Decision Sciences titles care essential reading for students and professionals, and cover key topics in decision support systems, and global logistics, among other areas of research and practice

  • Operations Risk

    Managing a Key Component of Operational Risk
    • 1st Edition
    • David Loader
    • English
    Operations Risk--a form of Operational Risk, is becoming increasingly important as more and more sophisticated products and the use of those products occurs in the financial services industry. Outsourcing, including overseas outsourcing, is changing the structure of firms and particularly operations teams. Thus understanding the existing and the changing risk environment in operations functions and its impact on operational risk is centrally important today. The book focuses on areas such as technology risk, people risk, and settlement risk, examining the dangers that lurk within different organisations. Case studies throughout the book illustrate the way in which risk can become magnified and ultimately become a serious danger to the businesses concerned. The reader is challenged throughout the book to interpret given situations in Operations Risk so as to understand the impact of the risks and devise solutions through a series of exercises included in the relevant chapters. (answers are provided). This “self-test” approach will help reinforce understanding of the detailed material contained throughout the book.

  • Security Operations Management

    • 2nd Edition
    • Robert McCrie
    • English
    The second edition of Security Operations Management continues as the seminal reference on corporate security management operations. Revised and updated, topics covered in depth include: access control, selling the security budget upgrades to senior management, the evolution of security standards since 9/11, designing buildings to be safer from terrorism, improving relations between the public and private sectors, enhancing security measures during acute emergencies, and, finally, the increased security issues surrounding the threats of terrorism and cybercrime. An ideal reference for the professional, as well as a valuable teaching tool for the security student, the book includes discussion questions and a glossary of common security terms. Additionally, a brand new appendix contains contact information for academic, trade, and professional security organizations.

  • Handbooks in Operations Research and Management Science: Simulation

    • 1st Edition
    • Volume 13
    • Shane G. Henderson + 1 more
    • English
    This Handbook is a collection of chapters on key issues in the design and analysis of computer simulation experiments on models of stochastic systems. The chapters are tightly focused and written by experts in each area. For the purpose of this volume “simulation” refers to the analysis of stochastic processes through the generation of sample paths (realization) of the processes. Attention focuses on design and analysis issues and the goal of this volume is to survey the concepts, principles, tools and techniques that underlie the theory and practice of stochastic simulation design and analysis. Emphasis is placed on the ideas and methods that are likely to remain an intrinsic part of the foundation of the field for the foreseeable future. The chapters provide up-to-date references for both the simulation researcher and the advanced simulation user, but they do not constitute an introductory level ‘how to’ guide. Computer scientists, financial analysts, industrial engineers, management scientists, operations researchers and many other professionals use stochastic simulation to design, understand and improve communications, financial, manufacturing, logistics, and service systems. A theme that runs throughout these diverse applications is the need to evaluate system performance in the face of uncertainty, including uncertainty in user load, interest rates, demand for product, availability of goods, cost of transportation and equipment failures.

  • Info-Gap Decision Theory

    Decisions Under Severe Uncertainty
    • 2nd Edition
    • Yakov Ben-Haim
    • English
    Everyone makes decisions, but not everyone is a decision analyst. A decision analyst uses quantitative models and computational methods to formulate decision algorithms, assess decision performance, identify and evaluate options, determine trade-offs and risks, evaluate strategies for investigation, and so on. Info-Gap Decision Theory is written for decision analysts. The term "decision analyst" covers an extremely broad range of practitioners. Virtually all engineers involved in design (of buildings, machines, processes, etc.) or analysis (of safety, reliability, feasibility, etc.) are decision analysts, usually without calling themselves by this name. In addition to engineers, decision analysts work in planning offices for public agencies, in project management consultancies, they are engaged in manufacturing process planning and control, in financial planning and economic analysis, in decision support for medical or technological diagnosis, and so on and on. Decision analysts provide quantitative support for the decision-making process in all areas where systematic decisions are made. This second edition entails changes of several sorts. First, info-gap theory has found application in several new areas - especially biological conservation, economic policy formulation, preparedness against terrorism, and medical decision-making. Pertinent new examples have been included. Second, the combination of info-gap analysis with probabilistic decision algorithms has found wide application. Consequently "hybrid" models of uncertainty, which were treated exclusively in a separate chapter in the previous edition, now appear throughout the book as well as in a separate chapter. Finally, info-gap explanations of robust-satisficing behavior, and especially the Ellsberg and Allais "paradoxes", are discussed in a new chapter together with a theorem indicating when robust-satisficing will have greater probability of success than direct optimizing with uncertain models.

  • Ethical Decision Making for Digital Libraries

    • 1st Edition
    • Cokie Anderson
    • English
    This book examines the ethical issues and dilemmas that arise in digital libraries, and the codes of conduct, professional guidelines and ethics resources used in resolving them. The book begins with an overview of classical and applied ethics, then reviews the codes of conduct of professional information societies (libraries, archivists, information technology). The book then examines issues and situations that arise in digitization and digital library management, and explores the ways established information ethics can be applied and adapted to these cases.

  • Handbook of Economic Forecasting

    • 1st Edition
    • Volume 1
    • G. Elliott + 2 more
    • English
    Research on forecasting methods has made important progress over recent years and these developments are brought together in the Handbook of Economic Forecasting. The handbook covers developments in how forecasts are constructed based on multivariate time-series models, dynamic factor models, nonlinear models and combination methods. The handbook also includes chapters on forecast evaluation, including evaluation of point forecasts and probability forecasts and contains chapters on survey forecasts and volatility forecasts. Areas of applications of forecasts covered in the handbook include economics, finance and marketing.

  • Managing Maintenance Resources

    • 1st Edition
    • Anthony Kelly
    • English
    Managing Maintenance Resources shows how to reduce the complexity involved in engineering, or re-engineering, a maintenance organization. It recognises that this is a complex problem involving many inter-related decisions – such as whether or not resources should be centralized, contractor alliances be entered into or flexible working be adopted. This book provides a unique approach to modeling maintenance-producti... organizations. It enables the identification of problems and delivers guidelines to develop effective solutions. This is one of three stand-alone volumes designed to provide maintenance professionals in any sector with a better understanding of maintenance management, enabling the identification of problems and the delivery of effective solutions.

  • Handbooks in Operations Research and Management Science

    Discrete Optimization
    • 1st Edition
    • Volume 12
    • K. Aardal + 2 more
    • English
    The chapters of this Handbook volume cover nine main topics that are representative of recenttheoretical and algorithmic developments in the field. In addition to the nine papers that present the state of the art, there is an article on the early history of the field. The handbook will be a useful reference to experts in the field as well as students and others who want to learn about discrete optimization.

  • Measuring the Marginal Social Cost of Transport

    • 1st Edition
    • Volume 14
    • Christopher Nash + 1 more
    • English
    Many transport economists have for some time proposed marginal social cost as the principle on which prices in the transport sector should be based and, in recent years, their prescription has come to be taken more and more seriously by policy-makers. However, in order to properly test the possible implications of implementing pricing based on marginal social cost and, ultimately, to introduce such a system, it is necessary to actually measure the marginal social costs concerned, and how they vary according to mode, time and context. This book reviews the transport pricing policy debate and reports on the significant advances made in measuring the marginal social costs of transport, particularly through UNITE and other European research projects. We look in turn at infrastructure, operating costs, user costs (both of congestion and of charges in frequency of scheduled transport services) accidents and environmental costs, and how these estimates have been used to examine the impact of marginal cost pricing in transport. We finish by examining how the results of case studies might be generalised to obtain estimates of marginal social costs for all circumstances and, finally, presenting our conclusions.

  • Statistics in Medicine

    • 2nd Edition
    • Robert H. Riffenburgh
    • English
    Medicine deals with treatments that work often but not always, so treatment success must be based on probability. Statistical methods lift medical research from the anecdotal to measured levels of probability. This book presents the common statistical methods used in 90% of medical research, along with the underlying basics, in two parts: a textbook section for use by students in health care training programs, e.g., medical schools or residency training, and a reference section for use by practicing clinicians in reading medical literature and performing their own research. The book does not require a significant level of mathematical knowledge and couches the methods in multiple examples drawn from clinical medicine, giving it applicable context.

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