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Ebook Analytical Models For Decision Making
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Book Synopsis EBOOK: Analytical Models for Decision-Making by : Colin Sanderson
Download or read book EBOOK: Analytical Models for Decision-Making written by Colin Sanderson and published by McGraw-Hill Education (UK). This book was released on 2006-03-16 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health care systems are complex and, as a result, it is often unclear what the effects of changes in policy or service provision might be. At the same time, resources for health care tend to be in short supply, which means that public health practitioners have to make difficult decisions. This book describes the quantitative and qualitative methods that can help decision-makers to structure and clarify difficult problems and to explore the implications of pursuing different options. The accompanying CD ROM provides the opportunity to try out some of the proposed solutions. The book examines: Models and decision-making in health care Methods for clarifying complex decisions Models for service planning and resource allocation Modelling for evaluating changes in systems Series Editors: Rosalind Plowman and Nicki Thorogood.
Book Synopsis Systems Models for Decision Making by : Nawaz Sharif
Download or read book Systems Models for Decision Making written by Nawaz Sharif and published by Pergamon. This book was released on 1978 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Business Analytics for Decision Making by : Steven Orla Kimbrough
Download or read book Business Analytics for Decision Making written by Steven Orla Kimbrough and published by CRC Press. This book was released on 2018-09-03 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business Analytics for Decision Making, the first complete text suitable for use in introductory Business Analytics courses, establishes a national syllabus for an emerging first course at an MBA or upper undergraduate level. This timely text is mainly about model analytics, particularly analytics for constrained optimization. It uses implementations that allow students to explore models and data for the sake of discovery, understanding, and decision making. Business analytics is about using data and models to solve various kinds of decision problems. There are three aspects for those who want to make the most of their analytics: encoding, solution design, and post-solution analysis. This textbook addresses all three. Emphasizing the use of constrained optimization models for decision making, the book concentrates on post-solution analysis of models. The text focuses on computationally challenging problems that commonly arise in business environments. Unique among business analytics texts, it emphasizes using heuristics for solving difficult optimization problems important in business practice by making best use of methods from Computer Science and Operations Research. Furthermore, case studies and examples illustrate the real-world applications of these methods. The authors supply examples in Excel®, GAMS, MATLAB®, and OPL. The metaheuristics code is also made available at the book's website in a documented library of Python modules, along with data and material for homework exercises. From the beginning, the authors emphasize analytics and de-emphasize representation and encoding so students will have plenty to sink their teeth into regardless of their computer programming experience.
Book Synopsis Business Analytics by : S. Christian Albright
Download or read book Business Analytics written by S. Christian Albright and published by . This book was released on 2017 with total page 952 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :Nagraj (Raju) Balakrishnan Publisher :Walter de Gruyter GmbH & Co KG ISBN 13 :1501506315 Total Pages :828 pages Book Rating :4.5/5 (15 download)
Book Synopsis Managerial Decision Modeling by : Nagraj (Raju) Balakrishnan
Download or read book Managerial Decision Modeling written by Nagraj (Raju) Balakrishnan and published by Walter de Gruyter GmbH & Co KG. This book was released on 2017-08-07 with total page 828 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book fills a void for a balanced approach to spreadsheet-based decision modeling. In addition to using spreadsheets as a tool to quickly set up and solve decision models, the authors show how and why the methods work and combine the user's power to logically model and analyze diverse decision-making scenarios with software-based solutions. The book discusses the fundamental concepts, assumptions and limitations behind each decision modeling technique, shows how each decision model works, and illustrates the real-world usefulness of each technique with many applications from both profit and nonprofit organizations. The authors provide an introduction to managerial decision modeling, linear programming models, modeling applications and sensitivity analysis, transportation, assignment and network models, integer, goal, and nonlinear programming models, project management, decision theory, queuing models, simulation modeling, forecasting models and inventory control models. The additional material files Chapter 12 Excel files for each chapter Excel modules for Windows Excel modules for Mac 4th edition errata can be found at https://www.degruyter.com/view/product/486941
Book Synopsis Financial Modeling for Decision Making by : Ron Messer
Download or read book Financial Modeling for Decision Making written by Ron Messer and published by Emerald Group Publishing. This book was released on 2020-09-01 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides accounting students in post-secondary institutions with an advanced level understanding of how to use MS-Excel to make business decisions. It reflects real-life applications of this important analytical tool, which has become the accepted industry standard for spreadsheet software.
Book Synopsis Decision Analysis, Location Models, and Scheduling Problems by : H. A. Eiselt
Download or read book Decision Analysis, Location Models, and Scheduling Problems written by H. A. Eiselt and published by Springer Science & Business Media. This book was released on 2004-01-12 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to provide readers with an introduction to the fields of decision making, location analysis, and project and machine scheduling. The combination of these topics is not an accident: decision analysis can be used to investigate decision seenarios in general, location analysis is one of the prime examples of decision making on the strategic Ievel, project scheduling is typically concemed with decision making on the tactical Ievel, and machine scheduling deals with decision making on the operational Ievel. Some of the chapters were originally contributed by different authors, and we have made every attempt to unify the notation, style, and, most importantly, the Ievel of the exposition. Similar to our book on Integer Programming and Network Models (Eiselt and Sandblom, 2000), the emphasis of this volume is on models rather than solution methods. This is particularly important in a book that purports to promote the science of decision making. As such, advanced undergraduate and graduate students, as weil as practitioners, will find this volume beneficial. While different authors prefer different degrees of mathematical sophistication, we have made every possible attempt to unify the approaches, provide clear explanations, and make this volume accessible to as many readers as possible.
Book Synopsis The Seven Rules for Building Effective Analytical Models for Decisions by : Frank Tillman
Download or read book The Seven Rules for Building Effective Analytical Models for Decisions written by Frank Tillman and published by Htx, Incorporated. This book was released on 2016-04-13 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through years of consulting, operating their own companies, and working in a number of corporate environments, the authors have developed insights into which methods work and which do not in the "real world." The result of this experience is the development of these fundamental rules for building analysis models to solve complex corporate problems. This book describes some common-sense principles that can be used to ensure that the models and solutions that are developed meet the decision maker's needs. These principles will help you avoid mistakes and help you develop better usable solutions.
Book Synopsis Data Driven Decision Making using Analytics by : Parul Gandhi
Download or read book Data Driven Decision Making using Analytics written by Parul Gandhi and published by CRC Press. This book was released on 2021-12-21 with total page 135 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Prescriptive Analytics by : Dursun Delen
Download or read book Prescriptive Analytics written by Dursun Delen and published by FT Press. This book was released on 2019-10-21 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make Better Decisions, Leverage New Opportunities, and Automate Decisioning at Scale Prescriptive analytics is more directly linked to successful decision-making than any other form of business analytics. It can help you systematically sort through your choices to optimize decisions, respond to new opportunities and risks with precision, and continually reflect new information into your decisioning process. In Prescriptive Analytics, analytics expert Dr. Dursun Delen illuminates the field’s state-of-the-art methods, offering holistic insight for both professionals and students. Delen’s end-to-end, all-inclusive approach covers optimization, simulation, multi-criteria decision-making methods, inference- and heuristic-based decisioning, and more. Balancing theory and practice, he presents intuitive conceptual illustrations, realistic example problems, and real-world case studies–all designed to deliver knowledge you can use. Discover where prescriptive analytics fits and how it improves decision-making Identify optimal solutions for achieving an objective within real-world constraints Analyze complex systems via Monte-Carlo, discrete, and continuous simulations Apply powerful multi-criteria decision-making and mature expert systems and case-based reasoning Preview emerging techniques based on deep learning and cognitive computing
Book Synopsis Decision Making in Systems Engineering and Management by : Patrick J. Driscoll
Download or read book Decision Making in Systems Engineering and Management written by Patrick J. Driscoll and published by John Wiley & Sons. This book was released on 2022-10-25 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: DECISION MAKING IN SYSTEMS ENGINEERING AND MANAGEMENT A thoroughly updated overview of systems engineering management and decision making In the newly revised third edition of Decision Making in Systems Engineering and Management, the authors deliver a comprehensive and authoritative overview of the systems decision process, systems thinking, and qualitative and quantitative multi-criteria value modeling directly supporting decision making throughout the system lifecycle. This book offers readers major new updates that cover recently developed system modeling and analysis techniques and quantitative and qualitative approaches in the field, including effective techniques for addressing uncertainty. In addition to Excel, six new open-source software applications have been added to illustrate key topics, including SIPmath Modeler Tools, Cambridge Advanced Modeller, SystemiTool2.0, and Gephi 0.9.2. The authors have reshaped the book’s organization and presentation to better support educators engaged in remote learning. New appendices have been added to present extensions for a new realization analysis technique and getting started steps for each of the major software applications. Updated illustrative examples support modern system decision making skills and highlight applications in hardware, organizations, policy, logistic supply chains, and architecture. Readers will also find: Thorough introductions to working with systems, the systems engineering perspective, and systems thinking In-depth presentations of applied systems thinking, including holism, element dependencies, expansive and contractive thinking, and concepts of structure, classification, and boundaries Comprehensive explorations of system representations leading to analysis In-depth discussions of supporting system decisions, including the system decision process (SDP), tradespace methods, multi-criteria value modeling, working with stakeholders, and the system environment Perfect for undergraduate and graduate students studying systems engineering and systems engineering management, Decision Making in Systems Engineering and Management will also earn a place in the libraries of practicing system engineers and researchers with an interest in the topic.
Book Synopsis Decision Modelling for Health Economic Evaluation by : Andrew Briggs
Download or read book Decision Modelling for Health Economic Evaluation written by Andrew Briggs and published by OUP Oxford. This book was released on 2006-08-17 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: In financially constrained health systems across the world, increasing emphasis is being placed on the ability to demonstrate that health care interventions are not only effective, but also cost-effective. This book deals with decision modelling techniques that can be used to estimate the value for money of various interventions including medical devices, surgical procedures, diagnostic technologies, and pharmaceuticals. Particular emphasis is placed on the importance of the appropriate representation of uncertainty in the evaluative process and the implication this uncertainty has for decision making and the need for future research. This highly practical guide takes the reader through the key principles and approaches of modelling techniques. It begins with the basics of constructing different forms of the model, the population of the model with input parameter estimates, analysis of the results, and progression to the holistic view of models as a valuable tool for informing future research exercises. Case studies and exercises are supported with online templates and solutions. This book will help analysts understand the contribution of decision-analytic modelling to the evaluation of health care programmes. ABOUT THE SERIES: Economic evaluation of health interventions is a growing specialist field, and this series of practical handbooks will tackle, in-depth, topics superficially addressed in more general health economics books. Each volume will include illustrative material, case histories and worked examples to encourage the reader to apply the methods discussed, with supporting material provided online. This series is aimed at health economists in academia, the pharmaceutical industry and the health sector, those on advanced health economics courses, and health researchers in associated fields.
Book Synopsis INFORMS Analytics Body of Knowledge by : James J. Cochran
Download or read book INFORMS Analytics Body of Knowledge written by James J. Cochran and published by John Wiley & Sons. This book was released on 2018-10-23 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Standardizes the definition and framework of analytics #2 on Book Authority’s list of the Best New Analytics Books to Read in 2019 (January 2019) We all want to make a difference. We all want our work to enrich the world. As analytics professionals, we are fortunate - this is our time! We live in a world of pervasive data and ubiquitous, powerful computation. This convergence has inspired and accelerated the development of both analytic techniques and tools and this potential for analytics to have an impact has been a huge call to action for organizations, universities, and governments. This title from Institute for Operations Research and the Management Sciences (INFORMS) represents the perspectives of some of the most respected experts on analytics. Readers with various backgrounds in analytics – from novices to experienced professionals – will benefit from reading about and implementing the concepts and methods covered here. Peer reviewed chapters provide readers with in-depth insights and a better understanding of the dynamic field of analytics The INFORMS Analytics Body of Knowledge documents the core concepts and skills with which an analytics professional should be familiar; establishes a dynamic resource that will be used by practitioners to increase their understanding of analytics; and, presents instructors with a framework for developing academic courses and programs in analytics.
Book Synopsis Big Data Analytics Using Multiple Criteria Decision-Making Models by : Ramakrishnan Ramanathan
Download or read book Big Data Analytics Using Multiple Criteria Decision-Making Models written by Ramakrishnan Ramanathan and published by CRC Press. This book was released on 2017-07-12 with total page 569 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multiple Criteria Decision Making (MCDM) is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on modelling-based tools for Business Analytics (BA), with exclusive focus on the sub-field of MCDM within the domain of operations research. The book will include an Introduction to Big Data and Business Analytics, and challenges and opportunities for developing MCDM models in the era of Big Data.
Book Synopsis Handbook of Decision Analysis by : Gregory S. Parnell
Download or read book Handbook of Decision Analysis written by Gregory S. Parnell and published by John Wiley & Sons. This book was released on 2013-01-24 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: A ONE-OF-A-KIND GUIDE TO THE BEST PRACTICES IN DECISION ANALYSIS Decision analysis provides powerful tools for addressing complex decisions that involve uncertainty and multiple objectives, yet most training materials on the subject overlook the soft skills that are essential for success in the field. This unique resource fills this gap in the decision analysis literature and features both soft personal/interpersonal skills and the hard technical skills involving mathematics and modeling. Readers will learn how to identify and overcome the numerous challenges of decision making, choose the appropriate decision process, lead and manage teams, and create value for their organization. Performing modeling analysis, assessing risk, and implementing decisions are also addressed throughout. Additional features include: Key insights gleaned from decision analysis applications and behavioral decision analysis research Integrated coverage of the techniques of single- and multiple-objective decision analysis Multiple qualitative and quantitative techniques presented for each key decision analysis task Three substantive real-world case studies illustrating diverse strategies for dealing with the challenges of decision making Extensive references for mathematical proofs and advanced topics The Handbook of Decision Analysis is an essential reference for academics and practitioners in various fields including business, operations research, engineering, and science. The book also serves as a supplement for courses at the upper-undergraduate and graduate levels.
Book Synopsis EBOOK: Health Management Information Systems by : Jack Smith
Download or read book EBOOK: Health Management Information Systems written by Jack Smith and published by McGraw-Hill Education (UK). This book was released on 1999-12-16 with total page 366 pages. Available in PDF, EPUB and Kindle. Book excerpt: The growth and development of health information systems have been of a scale, and at a pace, that many health professionals are left wondering quite how to relate to the changes that have taken place. This comprehensive text is aimed at both practitioners and students, and it relates systems and management theories to applications found in health settings, and compares the best of international practice. It sets out the basic principles of health management information systems, and illustrates them with examples and case studies from a wide range of health care applications and from a number of different countries, including the USA, the UK, Germany and Australia. Ideal for practitioners, health care managers, and for undergraduate and postgraduate students in public health and clinical specializations, Health Management Information Systems shows how information can and should be best used as a management resource.
Book Synopsis Data Science for Business and Decision Making by : Luiz Paulo Fávero
Download or read book Data Science for Business and Decision Making written by Luiz Paulo Fávero and published by Academic Press. This book was released on 2019-04-11 with total page 1240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®. Combines statistics and operations research modeling to teach the principles of business analytics Written for students who want to apply statistics, optimization and multivariate modeling to gain competitive advantages in business Shows how powerful software packages, such as SPSS and Stata, can create graphical and numerical outputs
