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| managerial decision modeling with spreadsheets: Managerial Decision Modeling Nagraj (Raju) Balakrishnan, Barry Render, Ralph Stair, Charles Munson, 2017-08-07 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 |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling with Spreadsheets Nagraj Balakrishnan, Barry Render, Ralph M. Stair, 2013 For courses on decision modeling through the use of spreadsheets. The perfect balance between decision modeling and spreadsheet use. It's important that textbooks support decision modeling courses by combining student's ability to logically model and analyze diverse decision-making scenarios with software-based solution procedures. 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. |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling with Spreadsheets Nagraj Balakrishnan, 2016 |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling with Spreadsheets Nagraj Balakrishnan, 2013 |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling with Spreadsheets Barry Render, Nagraj Balakrishnan, Brian E. Smith, Ralph M. Stair, Jr., 2009-08-05 Render provides a modern, Excel-Based, and thoroughly Canadian introduction to management science concepts and techniques. This second edition has more fully integrated Canadian content than before and continues to be a perfect balance between decision modeling and the use of spreadsheets to set up and solve modeling problems. |
| managerial decision modeling with spreadsheets: Management Decision Making George E. Monahan, 2000-08-17 CD-ROM contains: Crystal Ball -- TreePlan -- AnimaLP -- Queue -- ExcelWorkbooks. |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling Nagraj Balakrishnan, Barry Render, Ralph M. Stair, Chuck Munson, 2017 |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling , 2020 |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling with Spreadsheets ITT, 2010-05-18 |
| managerial decision modeling with spreadsheets: Optimization Modeling with Spreadsheets Kenneth R. Baker, 2012-01-10 Reflects the latest applied research and features state-of-the-art software for building and solving spreadsheet optimization models Thoroughly updated to reflect the latest topical and technical advances in the field, Optimization Modeling with Spreadsheets, Second Edition continues to focus on solving real-world optimization problems through the creation of mathematical models and the use of spreadsheets to represent and analyze those models. Developed and extensively classroom-tested by the author, the book features a systematic approach that equips readers with the skills to apply optimization tools effectively without the need to rely on specialized algorithms. This new edition uses the powerful software package Risk Solver Platform (RSP) for optimization, including its Evolutionary Solver, which employs many recently developed ideas for heuristic programming. The author provides expanded coverage of integer programming and discusses linear and nonlinear programming using a systematic approach that emphasizes the use of spreadsheet-based optimization tools. The Second Edition also features: Classifications for the various problem types, providing the reader with a broad framework for building and recognizing optimization models Network models that allow for a more general form of mass balance A systematic introduction to Data Envelopment Analysis (DEA) The identification of qualitative patterns in order to meaningfully interpret linear programming solutions An introduction to stochastic programming and the use of RSP to solve problems of this type Additional examples, exercises, and cases have been included throughout, allowing readers to test their comprehension of the material. In addition, a related website features Microsoft Office® Excel files to accompany the figures and data sets in the book. With its accessible and comprehensive presentation, Optimization Modeling with Spreadsheets, Second Edition is an excellent book for courses on deterministic models, optimization, and spreadsheet modeling at the upper-undergraduate and graduate levels. The book can also serve as a reference for researchers, practitioners, and consultants working in business, engineering, operations research, and management science. |
| managerial decision modeling with spreadsheets: Spreadsheet Modeling for Business Decisions + Webcom , |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling with Spreadsheets, Selected Chapters Nagraj (Raju) Balakrishnan, Barry Render, Ralph M. Stair, 2019-12-04 Managerial Decision Modeling with Spreadsheets, Selected Chapters |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling , 2016 |
| managerial decision modeling with spreadsheets: Managerial Spreadsheet Modeling and Analysis Rick Hesse, 1997 |
| managerial decision modeling with spreadsheets: Operations Research Using Excel Vikas Singla, 2021-09-16 The field of operations research provides a scientific approach to managerial decision making. In a contemporary, hypercompetitive ever-changing business world, a manager needs quantitative and factual ways of solving problems related to optimal allocation of resources, profit/loss, maximization/minimization etc. In this endeavor, the subject of doing research on how to manage and make operations efficient is termed as Operations Research. The reference text provides conceptual and analytical knowledge for various operations research techniques. Readers, especially students of this subject, are skeptic in dealing with the subject because of its emphasis on mathematics. However, this book has tried to remove such doubts by focusing on the application part of OR techniques with minimal usage of mathematics. The attempt was to make students comfortable with some complicated topics of the subject. It covers important concepts including sensitivity analysis, duality theory, transportation solution method, Hungarian algorithm, program evaluation and review technique and periodic review system. Aimed at senior undergraduate and graduate students in the fields of mechanical engineering, civil engineering, industrial engineering and production engineering, this book: • Discusses extensive use of Microsoft Excel spreadsheets and formulas in solving operations research problems • Provides case studies and unsolved exercises at the end of each chapter • Covers industrial applications of various operations research techniques in a comprehensive manner • Discusses creating spreadsheets and using different Excel formulas in an easy-to-understand manner • Covers problem-solving procedures for techniques including linear programming, transportation model and game theory |
| managerial decision modeling with spreadsheets: Business Analytics Stephen G. Powell, Kenneth R. Baker, 2016-11-16 Now in its fifth edition, Powell and Baker’s Business Analytics: The Art of Modeling with Spreadsheets provides students and business analysts with the technical knowledge and skill needed to develop real expertise in business modeling. In this book, the authors cover spreadsheet engineering, management science, and the modeling craft. The briefness & accessibility of this title offers opportunities to integrate other materials –such as cases -into the course. It can be used in any number of courses or departments where modeling is a key skill. |
| managerial decision modeling with spreadsheets: Decision Modeling with Microsoft Excel Lawrence R. Weatherford, 2001-04-01 |
| managerial decision modeling with spreadsheets: The Managerial Decision-Making Process E. Frank Harrison, 1995 Rather than present decision making strictly as a quantitative science, this text views it as a multidimensional process involving values, psychology, sociology, social psychology, and politics. Using a process modela focus on the process of a decision rather than the outcomethe book presents a variety of perspectives useful for making and evaluating decisions in all kinds of organizations. |
| managerial decision modeling with spreadsheets: Engineering Decision Making and Risk Management Jeffrey W. Herrmann, 2015-04-06 IIE/Joint Publishers Book of the Year Award 2016! Awarded for ‘an outstanding published book that focuses on a facet of industrial engineering, improves education, or furthers the profession’. Engineering Decision Making and Risk Management emphasizes practical issues and examples of decision making with applications in engineering design and management Featuring a blend of theoretical and analytical aspects, this book presents multiple perspectives on decision making to better understand and improve risk management processes and decision-making systems. Engineering Decision Making and Risk Management uniquely presents and discusses three perspectives on decision making: problem solving, the decision-making process, and decision-making systems. The author highlights formal techniques for group decision making and game theory and includes numerical examples to compare and contrast different quantitative techniques. The importance of initially selecting the most appropriate decision-making process is emphasized through practical examples and applications that illustrate a variety of useful processes. Presenting an approach for modeling and improving decision-making systems, Engineering Decision Making and Risk Management also features: Theoretically sound and practical tools for decision making under uncertainty, multi-criteria decision making, group decision making, the value of information, and risk management Practical examples from both historical and current events that illustrate both good and bad decision making and risk management processes End-of-chapter exercises for readers to apply specific learning objectives and practice relevant skills A supplementary website with instructional support material, including worked solutions to the exercises, lesson plans, in-class activities, slides, and spreadsheets An excellent textbook for upper-undergraduate and graduate students, Engineering Decision Making and Risk Management is appropriate for courses on decision analysis, decision making, and risk management within the fields of engineering design, operations research, business and management science, and industrial and systems engineering. The book is also an ideal reference for academics and practitioners in business and management science, operations research, engineering design, systems engineering, applied mathematics, and statistics. |
| managerial decision modeling with spreadsheets: Modeling for Insight Stephen G. Powell, Robert J. Batt, 2011-09-20 Praise for Modeling for Insight Most books on modeling are either too theoretical or too focused on the mechanics of programming. Powell and Batt's emphasis on using simple spreadsheet models to gain business insight (which is, after all, the name of the game) is what makes this book stand head and shoulders above the rest. This clear and practical book deserves a place on the shelf of every business analyst. —Jonathan Koomey, PhD, Lawrence Berkeley National Laboratory and Stanford University, author of Turning Numbers into Knowledge: Mastering the Art of Problem Solving Most business analysts are familiar with using spreadsheets to organize data and build routine models. However, analysts often struggle when faced with examining new and ill-structured problems. Modeling for Insight is a one-of-a-kind guide to building effective spreadsheet models and using them to generate insights. With its hands-on approach, this book provides readers with an effective modeling process and specific modeling tools to become a master modeler. The authors provide a structured approach to problem-solving using four main steps: frame the problem, diagram the problem, build a model, and generate insights. Extensive examples, graduated in difficulty, help readers to internalize this modeling process, while also demonstrating the application of important modeling tools, including: Influence diagrams Spreadsheet engineering Parameterization Sensitivity analysis Strategy analysis Iterative modeling The real-world examples found in the book are drawn from a wide range of fields such as financial planning, insurance, pharmaceuticals, advertising, and manufacturing. Each chapter concludes with a discussion on how to use the insights drawn from these models to create an effective business presentation. Microsoft Office Excel and PowerPoint are used throughout the book, along with the add-ins Premium Solver, Crystal Ball, and Sensitivity Toolkit. Detailed appendices guide readers through the use of these software packages, and the spreadsheet models discussed in the book are available to download via the book's related Web site. Modeling for Insight is an ideal book for courses in engineering, operations research, and management science at the upper-undergraduate and graduate levels. It is also a valuable resource for consultants and business analysts who often use spreadsheets to better understand complex problems. |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling Cliff T. Ragsdale, 2007 |
| managerial decision modeling with spreadsheets: Spreadsheet Modeling and Decision Analysis Cliff T. Ragsdale, Lance Matheson, 1995 Valuable software, realistic examples, and fascinating topics . . . everything you need to master the most widely used management science techniques using Microsoft Excel is right here! Learning to make decisions in today's business world takes training and experience. Cliff Ragsdale--the respected innovator in the field of management science--is an outstanding guide to help you learn the skills you need, use Microsoft Excel for Windows to implement those skills, and gain the confidence to apply what you learn to real business situations. SPREADSHEET MODELING AND DECISION ANALYSIS gives you step-by-step instructions and annotated screen shots to make examples easy to follow. Plus, interesting sections called The World of Management Science show you how each topic has been applied in a real company. |
| managerial decision modeling with spreadsheets: Introduction to Management Science Frederick Stanton Hillier, Mark S. Hillier, Karl Schmedders, Molly Stephens, 2004-01 Introduction to Management Science, 2e offers a unique case study approach and integrates the use of Excel. Each chapter includes a case study that is meant to show the students a real and interesting application of the topics addressed in that chapter. This most recent revision has been thoroughly updated to be more user-friendly and more technologically advanced. These changes include, a completely new chapter on the art of modeling with spreadsheets. This unique chapter goes far beyond anything found in other textbooks and are based on the award winning methodologies used by Mark Hillier in his own course. The technology package has also been greatly enhanced to include, Crystal Ball 2000 (Professional Edition) a Management Science Online Learning Center, and an Excel add-in called Alver Table for performing sensitivity analysis. Crystal Ball is the most popular Excel add-in for computer simulation and includes OptQuest (an optimizer with simulation) as well as a forecasting module. The Management Science Online Learning Center (website) includes several modules that enable students to interactively explore certain management science techniques in depth. Solver Table is an Excel add-in developed by the author to help perform sensitivity analysis systematically, as well as substantially expanded coverage of computer simulation, including Crystal Ball. We now have two chapters on computer simulation instead of one, where the second chapter features the use of Crystal Ball.all. |
| managerial decision modeling with spreadsheets: Statistics for Managers Using Microsoft Excel, Global Edition David M. Levine, David F. Stephan, Kathryn A. Szabat, 2016-12-22 For undergraduate business statistics courses. Analyzing the Data Applicable to Business This text is the gold standard for learning how to use Microsoft Excel® in business statistics, helping students gain the understanding they need to be successful in their careers. The authors present statistics in the context of specific business fields; full chapters on business analytics further prepare students for success in their professions. Current data throughout the text lets students practice analyzing the types of data they will see in their professions. The friendly writing style include tips throughout to encourage learning. The book also integrates PHStat, an add-in that bolsters the statistical functions of Excel. MyStatLab™ not included. Students, if MyStatLab is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN and course ID. MyStatLab should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information. MyStatLab from Pearson is the world's leading online resource for teaching and learning statistics, integrating interactive homework, assessment, and media in a flexible, easy-to-use format. MyStatLab is a course management system that delivers improving results in helping individual students succeed. |
| managerial decision modeling with spreadsheets: Deterministic Operations Research David J. Rader, 2013-06-07 Uniquely blends mathematical theory and algorithm design for understanding and modeling real-world problems Optimization modeling and algorithms are key components to problem-solving across various fields of research, from operations research and mathematics to computer science and engineering. Addressing the importance of the algorithm design process. Deterministic Operations Research focuses on the design of solution methods for both continuous and discrete linear optimization problems. The result is a clear-cut resource for understanding three cornerstones of deterministic operations research: modeling real-world problems as linear optimization problem; designing the necessary algorithms to solve these problems; and using mathematical theory to justify algorithmic development. Treating real-world examples as mathematical problems, the author begins with an introduction to operations research and optimization modeling that includes applications form sports scheduling an the airline industry. Subsequent chapters discuss algorithm design for continuous linear optimization problems, covering topics such as convexity. Farkas’ Lemma, and the study of polyhedral before culminating in a discussion of the Simplex Method. The book also addresses linear programming duality theory and its use in algorithm design as well as the Dual Simplex Method. Dantzig-Wolfe decomposition, and a primal-dual interior point algorithm. The final chapters present network optimization and integer programming problems, highlighting various specialized topics including label-correcting algorithms for the shortest path problem, preprocessing and probing in integer programming, lifting of valid inequalities, and branch and cut algorithms. Concepts and approaches are introduced by outlining examples that demonstrate and motivate theoretical concepts. The accessible presentation of advanced ideas makes core aspects easy to understand and encourages readers to understand how to think about the problem, not just what to think. Relevant historical summaries can be found throughout the book, and each chapter is designed as the continuation of the “story” of how to both model and solve optimization problems by using the specific problems-linear and integer programs-as guides. The book’s various examples are accompanied by the appropriate models and calculations, and a related Web site features these models along with MapleTM and MATLAB® content for the discussed calculations. Thoroughly class-tested to ensure a straightforward, hands-on approach, Deterministic Operations Research is an excellent book for operations research of linear optimization courses at the upper-undergraduate and graduate levels. It also serves as an insightful reference for individuals working in the fields of mathematics, engineering, computer science, and operations research who use and design algorithms to solve problem in their everyday work. |
| managerial decision modeling with spreadsheets: Management Information Systems Kenneth C. Laudon, Jane Price Laudon, 2004 Management Information Systems provides comprehensive and integrative coverage of essential new technologies, information system applications, and their impact on business models and managerial decision-making in an exciting and interactive manner. The twelfth edition focuses on the major changes that have been made in information technology over the past two years, and includes new opening, closing, and Interactive Session cases. |
| managerial decision modeling with spreadsheets: Management Accounting Anthony A. Atkinson, 2007 AUDIENCE: For upper level undergraduate and MBA Management Accounting courses. APPROACH: Atkinson is a managerially-oriented book that focuses on both quantitative and qualitative aspects of classical and contemporary managerial accounting. COMPETITORS: Garrison, MH; |
| managerial decision modeling with spreadsheets: Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition Brian Larson, 2016-11-04 Distribute Actionable, Timely BI with Microsoft® SQL Server® 2016 and Power BI Drive better, faster, more informed decision making across your organization using the expert tips and best practices featured in this hands-on guide. Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition, shows, step-by-step, how to distribute high-performance, custom analytics to users enterprise-wide. Discover how to build BI Semantic Models, create data marts and OLAP cubes, write MDX and DAX scripts, and share insights using Microsoft client tools. The book includes coverage of self-service business intelligence with Power BI. • Understand the goals and components of successful BI • Build data marts, OLAP cubes, and Tabular models • Load and cleanse data with SQL Server Integration Services • Manipulate and analyze data using MDX and DAX scripts and queries • Work with SQL Server Analysis Services and the BI Semantic Model • Author interactive reports using SQL Server Data Tools • Create KPIs and digital dashboards • Implement time-based analytics • Embed data model content in custom applications using ADOMD.NET • Use Power BI to gather, model, and visualize data in a self-service environment |
| managerial decision modeling with spreadsheets: Metaheuristics for Business Analytics Abraham Duarte, Manuel Laguna, Rafael Marti, 2017-11-24 This essential metaheuristics tutorial provides descriptions and practical applications in the area of business analytics. It addresses key problems in predictive and prescriptive analysis, while also illustrating how problems that arise in business analytics can be modelled and how metaheuristics can be used to find high-quality solutions. Readers will be introduced to decision-making problems for which metaheuristics offer the most effective solution technique. The book not only shows business problem modelling on a spreadsheet but also how to design and create a Visual Basic for Applications code. Extra Material can be downloaded at http://extras.springer.com/978-3-319-68117-7. |
| managerial decision modeling with spreadsheets: Intermediate Microeconomics with Microsoft Excel Humberto Barreto, 2009-06-15 This unique text uses Microsoft Excel® workbooks to instruct students. In addition to explaining fundamental concepts in microeconomic theory, readers acquire a great deal of sophisticated Excel skills and gain the practical mathematics needed to succeed in advanced courses. In addition to the innovative pedagogical approach, the book features explicitly repeated use of a single central methodology, the economic approach. Students learn how economists think and how to think like an economist. With concrete, numerical examples and novel, engaging applications, interest for readers remains high as live graphs and data respond to manipulation by the user. Finally, clear writing and active learning are features sure to appeal to modern practitioners and their students. The website accompanying the text is found at www.depauw.edu/learn/microexcel. |
| managerial decision modeling with spreadsheets: Business Modeling with Spreadsheets Thin-Yin Leong, Michelle L. F. Cheong, 2013 |
| managerial decision modeling with spreadsheets: Structured Spreadsheet Modelling and Implementation Paul Mireault, 2017-03-20 Learn how to create spreadsheets that are easy to understand, easy to explain to colleagues, bosses or clients, and easy to modify. |
| managerial decision modeling with spreadsheets: Introduction to Management Science with Spreadsheets William J. Stevenson, Ceyhun Ozgur, 2007 |
| managerial decision modeling with spreadsheets: VBA for Modelers S. Christian Albright, 2007 |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling Cliff T. Ragsdale, 2011-01-01 Cliff Ragsdale is an innovator of the spreadsheet teaching revolution and is highly regarded in the field of management science. The sixth edition of MANAGERIAL DECISION MODELING, 6e, International Edition retains the elements and philosophy that has made its past editions so successful.This version of MANAGERIAL DECISION MODELING, 6e, International Edition has been updated for use with Microsoft® Office Excel® 2010. It provides succinct instruction in the most commonly used management science techniques and shows how these tools can be implemented using the most current version of Excel® for Windows. This text also focuses on developing both algebraic and spreadsheet modeling skills.Risk Solver Platform replaces Crystal Ball in the sixth edition. Risk Solver Platform includes all of the capabilities of Risk Solver for risk analysis and Monte Carlo simulation, all of the capabilities of Premium solver Platform for optimization, and new capabilities for finding robust optimal decisions using simulation, optimization, stochastic programming, and robust optimization methods. |
| managerial decision modeling with spreadsheets: Decision Support Systems and Intelligent Systems Efraim Turban, Jay E. Aronson, Ting-Peng Liang, 2005 A guide to management support system technologies, and how they can be used for better decision making. It focuses on Web-enabled tools, performance analysis, knowledge management, and other innovations. |
| managerial decision modeling with spreadsheets: Managerial Decision Modeling With Spreadsheets And Sudent Cd Package, 2/E (With Cd) Balakrishnan, 2007-09 This Text Emphasizes Balancing The Theory Behind Decision Modeling And The Use Of Spreadsheets To Easily Set Up And Solve These Models. From A Managerial Is To Gain Insight Into The Problem, Not The Detailed Mechanics Of The Solution Process. |
| managerial decision modeling with spreadsheets: Business Intelligence Ramesh Sharda, Dursun Delen, Efraim Turban, 2017-01-13 For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice. |
| managerial decision modeling with spreadsheets: Simulation Modeling and Analysis Averill M. Law, 2007 Accompanying CD-ROM contains ... the Student Version of the ExpertFit distribution-fitting software.--Page 4 of cover. |
| managerial decision modeling with spreadsheets: Managerial Economics James R. McGuigan, R. Charles Moyer, Frederick H. deB. Harris, 2005 With its emphasis on real world, manager-oriented applications, this text shows students how managers apply theories and techniques to analyse and solve real-world business problems. |
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