Applied Management Science

Modeling, Spreadsheet Analysis, and Communication for Decision Making

Author: John A. Lawrence,Barry A. Pasternack

Publisher: Wiley

ISBN: 9780471391906

Category: Business & Economics

Page: 672

View: 2771

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Emphasizes building the most appropriate model possible from the available data. * Major focus is on analysis and communication of results to management. Teaches readers how to conduct a management science study, analyze different situations, break down the steps of problem-solving, write a business report, and effectively communicate study results to management. * A supporting CD-ROM is packaged with every book to include three complete additional chapters, additional cases and problems for every chapter, coverage of key algorithms and derivations, a review of statistics, the complete WINQSB package developed by Yih-Long Chang, and Excel files for every chapter. * Computer Integrated Approach: Use of Excel, WinQSB, and LINDO for windows integrated throughout text for use in solving models.

Mathematical Modeling for Business Analytics

Author: William P. Fox

Publisher: CRC Press

ISBN: 1351368230

Category: Business & Economics

Page: 430

View: 1423

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Mathematical Modeling for Business Analytics is written for decision makers at all levels. This book presents the latest tools and techniques available to help in the decision process. The interpretation and explanation of the results are crucial to understanding the strengths and limitations of modeling. This book emphasizes and focuses on the aspects of constructing a useful model formulation, as well as building the skills required for decision analysis. The book also focuses on sensitivity analysis. The author encourages readers to formally think about solving problems by using a thorough process. Many scenarios and illustrative examples are provided to help solve problems. Each chapter is also comprehensively arranged so that readers gain an in-depth understanding of the subject which includes introductions, background information and analysis. Both undergraduate and graduate students taking methods courses in methods and discrete mathematical modeling courses will greatly benefit from using this book.

Practical Management Science

Author: Wayne L. Winston,S. Christian Albright

Publisher: Cengage Learning

ISBN: 1337671983

Category: Business & Economics

Page: 50

View: 9332

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Take full advantage of the power of spreadsheet modeling with the guidance in PRACTICAL MANAGEMENT SCIENCE, 6E, geared entirely to Excel 2016. This edition integrates modeling into all functional areas of business -- finance, marketing, operations management -- using real examples and real data. The book emphasizes applied, relevant learning while presenting the right amount of theory to ensure readers gain a strong foundation. Exercises offer practical, hands-on experience working with the methodologies. The authors focus on modeling rather than algebraic formulations or memorization of particular models. This edition provides new and updated cases as well as a new chapter on data mining. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

A First Course in Mathematical Modeling

Author: Frank R. Giordano,William P. Fox,Steven B. Horton

Publisher: Cengage Learning

ISBN: 1285531760

Category: Mathematics

Page: 704

View: 1122

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Offering a solid introduction to the entire modeling process, A FIRST COURSE IN MATHEMATICAL MODELING, 5th Edition delivers an excellent balance of theory and practice, and gives you relevant, hands-on experience developing and sharpening your modeling skills. Throughout, the book emphasizes key facets of modeling, including creative and empirical model construction, model analysis, and model research, and provides myriad opportunities for practice. The authors apply a proven six-step problem-solving process to enhance your problem-solving capabilities -- whatever your level. In addition, rather than simply emphasizing the calculation step, the authors first help you learn how to identify problems, construct or select models, and figure out what data needs to be collected. By involving you in the mathematical process as early as possible -- beginning with short projects -- this text facilitates your progressive development and confidence in mathematics and modeling. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Business Analytics with Management Science Models and Methods

Author: Arben Asllani

Publisher: Pearson Education

ISBN: 0133760359

Category: Business & Economics

Page: 400

View: 9904

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This book is about prescriptive analytics. It provides business practitioners and students with a selected set of management science and optimization techniques and discusses the fundamental concepts, methods, and models needed to understand and implement these techniques in the era of Big Data. A large number of management science models exist in the body of literature today. These models include optimization techniques or heuristics, static or dynamic programming, and deterministic or stochastic modeling. The topics selected in this book, mathematical programming and simulation modeling, are believed to be among the most popular management science tools, as they can be used to solve a majority of business optimization problems. Over the years, these techniques have become the weapon of choice for decision makers and practitioners when dealing with complex business systems.

Communications With Data

Communicating Data Insights Using a Combination of Data, Visuals, and Narrative.

Author: Stewart Alan Sutton

Publisher: Createspace Independent Publishing Platform

ISBN: 9781979278751

Category:

Page: 240

View: 1392

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This book has been developed as an instructional guide for classes taught in the subject area of data visualization and communications. It can be used as a reference text for both undergraduate and graduate-level studies and the emphasis is toward establishing a working foundation and competency in data visualization and applying that skill as part of business communications. This text was constructed to make it easier for each of my students to navigate these topics across specific individual textbooks as they establish their core operating foundation in these intersecting topics.

Business Statistics

For Contemporary Decision Making

Author: Ken Black

Publisher: John Wiley & Sons

ISBN: 0470931469

Category: Business & Economics

Page: 880

View: 1049

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Black's latest outstanding pedagogy of Business Statistics includes the use of extra problems called "Demonstration Problems" to provide additional insight and explanation to working problems, and presents concepts, topics, formulas, and application in a manner that is palatable to a vast audience and minimizes the use of "scary" formulas. Every chapter opens up with a vignette called a "Decision Dilemma" about real companies, data, and business issues. Solutions to these dilemmas are presented as a feature called "Decision Dilemma Solved." In this edition all cases and "Decision Dilemmas" are updated and revised and 1/3 have been replaced for currency. There is also a significant number of additional problems and an extremely competitive collection of databases (containing real data) on: international stock markets, consumer food, international labor, financial, energy, agribusiness, 12-year gasoline, manufacturing, and hospital.

Applied Management Science

A Computer-Integrated Approach for Decision Making 2nd Edition with Reg Car AMS Set

Author: John A. Lawrence

Publisher: N.A

ISBN: 9780470906996

Category:

Page: N.A

View: 8024

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Business Case Analysis with R

Simulation Tutorials to Support Complex Business Decisions

Author: Robert D. Brown III

Publisher: Apress

ISBN: 1484234952

Category: Computers

Page: 282

View: 331

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This tutorial teaches you how to use the statistical programming language R to develop a business case simulation and analysis. It presents a methodology for conducting business case analysis that minimizes decision delay by focusing stakeholders on what matters most and suggests pathways for minimizing the risk in strategic and capital allocation decisions. Business case analysis, often conducted in spreadsheets, exposes decision makers to additional risks that arise just from the use of the spreadsheet environment. R has become one of the most widely used tools for reproducible quantitative analysis, and analysts fluent in this language are in high demand. The R language, traditionally used for statistical analysis, provides a more explicit, flexible, and extensible environment than spreadsheets for conducting business case analysis. The main tutorial follows the case in which a chemical manufacturing company considers constructing a chemical reactor and production facility to bring a new compound to market. There are numerous uncertainties and risks involved, including the possibility that a competitor brings a similar product online. The company must determine the value of making the decision to move forward and where they might prioritize their attention to make a more informed and robust decision. While the example used is a chemical company, the analysis structure it presents can be applied to just about any business decision, from IT projects to new product development to commercial real estate. The supporting tutorials include the perspective of the founder of a professional service firm who wants to grow his business and a member of a strategic planning group in a biomedical device company who wants to know how much to budget in order to refine the quality of information about critical uncertainties that might affect the value of a chosen product development pathway. What You’ll Learn Set up a business case abstraction in an influence diagram to communicate the essence of the problem to other stakeholders Model the inherent uncertainties in the problem with Monte Carlo simulation using the R language Communicate the results graphically Draw appropriate insights from the results Develop creative decision strategies for thorough opportunity cost analysis Calculate the value of information on critical uncertainties between competing decision strategies to set the budget for deeper data analysis Construct appropriate information to satisfy the parameters for the Monte Carlo simulation when little or no empirical data are available Who This Book Is For Financial analysts, data practitioners, and risk/business professionals; also appropriate for graduate level finance, business, or data science students

Business Analytics: Data Analysis & Decision Making

Author: S. Christian Albright,Wayne L. Winston

Publisher: Cengage Learning

ISBN: 1337225274

Category: Business & Economics

Page: 984

View: 4042

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Master data analysis, modeling, and spreadsheet use with BUSINESS ANALYTICS: DATA ANALYSIS AND DECISION MAKING, 6E! Popular with students, instructors, and practitioners, this quantitative methods text delivers the tools to succeed with its proven teach-by-example approach, user-friendly writing style, and complete Excel 2016 integration. It is also compatible with Excel 2013, 2010, and 2007. Completely rewritten, Chapter 17, Data Mining, and Chapter 18, Importing Data into Excel, include increased emphasis on the tools commonly included under the Business Analytics umbrella -- including Microsoft Excel’s “Power BI” suite. In addition, up-to-date problem sets and cases provide realistic examples to show the relevance of the material. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Applied Statistics for Public and Nonprofit Administration

Author: Kenneth J. Meier,Jeffrey L. Brudney,John Bohte

Publisher: Cengage Learning

ISBN: 1285737237

Category: Education

Page: 528

View: 9408

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As the first book ever published for public administration statistics courses, APPLIED STATISTICS FOR PUBLIC AND NONPROFIT ADMINISTRATION makes a difficult subject accessible to students and practitioners of public administration and to non-profit studies who have little background in statistics or research methods. Steeped in experience and practice, this landmark text remains the first and best in research methods and statistics for students and practitioners in public-and nonprofit-administration. All statistical techniques used by public administration professionals are covered, and all examples in the text relate to public administration and the nonprofit sector. Avoiding jargon and formula, this text uses a step-by-step approach that facilitates student learning. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Business Analytics

Methods, Models, and Decisions

Author: James R. Evans

Publisher: Pearson College Division

ISBN: 9780321997821

Category: Business & Economics

Page: 656

View: 3403

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Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today's organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives.

Managerial Decision Modeling with Spreadsheets

Author: Nagraj Balakrishnan,Barry Render,Ralph M. Stair

Publisher: Prentice Hall

ISBN: 9780136115830

Category: Business & Economics

Page: 588

View: 2027

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Balakrishnan offers the perfect balance of the decision modeling process and the use of spreadsheets to set up and solve decision models. The third edition has been updated to reflect the latest version of Excel.

Decision Making in Systems Engineering and Management

Author: Gregory S. Parnell, PhD,Patrick J. Driscoll,Dale L. Henderson

Publisher: John Wiley & Sons

ISBN: 0470934719

Category: Technology & Engineering

Page: 544

View: 3138

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Decision Making in Systems Engineering and Management is a comprehensive textbook that provides a logical process and analytical techniques for fact-based decision making for the most challenging systems problems. Grounded in systems thinking and based on sound systems engineering principles, the systems decisions process (SDP) leverages multiple objective decision analysis, multiple attribute value theory, and value-focused thinking to define the problem, measure stakeholder value, design creative solutions, explore the decision trade off space in the presence of uncertainty, and structure successful solution implementation. In addition to classical systems engineering problems, this approach has been successfully applied to a wide range of challenges including personnel recruiting, retention, and management; strategic policy analysis; facilities design and management; resource allocation; information assurance; security systems design; and other settings whose structure can be conceptualized as a system.

Communicating Risks and Benefits

An Evidence Based User's Guide

Author: Baruch Fischhoff

Publisher: Government Printing Office

ISBN: 9780160901799

Category: Health & Fitness

Page: 240

View: 8352

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Effective risk communication is essential to the well-being of any organization and those people who depend on it. Ineffective communication can cost lives, money and reputations. Communicating Risks and Benefits: An Evidence-Based User’s Guide provides the scientific foundations for effective communications. The book authoritatively summarizes the relevant research, draws out its implications for communication design, and provides practical ways to evaluate and improve communications for any decision involving risks and benefits. Topics include the communication of quantitative information and warnings, the roles of emotion and the news media, the effects of age and literacy, and tests of how well communications meet the organization’s goals. The guide will help users in any organization, with any budget, to make the science of their communications as sound as the science that they are communicating.

WinQSB

Author: Yih-Long Chang,Kiran Desai

Publisher: Wiley

ISBN: 9780471406723

Category: Business & Economics

Page: 240

View: 2611

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* Wide range of problem-solving tools from management science and operations management * User-friendly, easy-to-understand environment-users learn how these tools work and how to apply them to tackle business problems * Data entry is spreadsheet oriented and easy to do * Output includes spreadsheet tables and graphic analyses * Extensive help files support the user every step of the way

Business Analytics, Global Edition

Author: James R. Evans

Publisher: Pearson Higher Ed

ISBN: 1292095458

Category: Business & Economics

Page: 656

View: 3951

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For undergraduate or graduate business students. A balanced and holistic approach to business analytics Business Analytics, Second Edition teaches the fundamental concepts of the emerging field of business analytics and provides vital tools in understanding how data analysis works in today’s organizations. Students will learn to apply basic business analytics principles, communicate with analytics professionals, and effectively use and interpret analytic models to make better business decisions. Included access to commercial grade analytics software gives students real-world experience and career-focused value. Author James Evans takes a balanced, holistic approach and looks at business analytics from descriptive, and predictive perspectives.

Business Statistics, Student Study Guide

For Contemporary Decision Making

Author: Ken Black

Publisher: Wiley

ISBN: 9780471466079

Category: Business & Economics

Page: 416

View: 9589

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The text is not written for those students who will become statisticians; it is written for future decision makers in business. The focus and goal is to make students better quantitative decision makers. The concepts of statistics are presented in the setting of business decision making through the use of many real world examples, real business data and applications. Student Study Guide: Designed to be used alongside the text book, this invaluable step-by-step study guide walks students through the text as they read it and work problems while supporting the decision making approach.

Foundations of Production and Operations Management

Author: Martin Starr

Publisher: Atomic Dog Pub Incorporated

ISBN: 9781592602766

Category: Business & Economics

Page: 652

View: 3012

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Foundations of Production and Operations Management focuses on the concepts essential to a simple-quantitative understanding of strategies and tactics in the P/OM field. Using a managerial focus with the systems approach, this book clarifies the field of Production and Operations Management in its current state. The systems approach is ideal for the managerial focus because the systems approach crosses functional boundaries in search of best solutions. This line of attack has come into strong favor by industry managers. In lieu of detailed quantitative discussions, Starr has streamlined, clarified, and updated fundamental qualitative concepts of business and P/OM. This introductory text provides students with a solid managerial framework for making better decisions, developing career skills, and problem-solving to support company sustainability. The writing style encourages educational literacy. This textbook is dedicated to broad educational objectives in the belief that managers prefer to hire well-informed students. Foundations of Production and Operations Management focuses on the concepts essential to a simple-quantitative understanding of strategies and tactics in the P/OM field. Using a managerial focus with the systems approach, this book clarifies the field of Production and Operations Management in its current state. The systems approach is ideal for the managerial focus because the systems approach crosses functional boundaries in search of best solutions. This line of attack has come into strong favor by industry managers. In lieu of detailed quantitative discussions, Starr has streamlined, clarified, and updated fundamental qualitative concepts of business and P/OM. This introductory text provides students with a solid managerial framework for making better decisions, developing career skills, and problem-solving to support company sustainability. The writing style encourages educational literacy. This textbook is dedicated to broad educational objectives in the belief that managers prefer to hire well-informed students.