Introduction to Business Analytics Using Simulation

Introduction to Business Analytics Using Simulation
Author: Jonathan P. Pinder
Publisher: Academic Press
Total Pages: 513
Release: 2022-02-06
Genre: Business & Economics
ISBN: 0323991173

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Introduction to Business Analytics Using Simulation, Second Edition employs an innovative strategy to teach business analytics. The book uses simulation modeling and analysis as mechanisms to introduce and link predictive and prescriptive modeling. Because managers can't fully assess what will happen in the future, but must still make decisions, the book treats uncertainty as an essential element in decision-making. Its use of simulation gives readers a superior way of analyzing past data, understanding an uncertain future, and optimizing results to select the best decision. With its focus on uncertainty and variability, this book provides a comprehensive foundation for business analytics. Students will gain a better understanding of fundamental statistical concepts that are essential to marketing research, Six-Sigma, financial analysis, and business analytics. Teaches managers how they can use business analytics to formulate and solve business problems to enhance managerial decision-making Explains the processes needed to develop, report and analyze business data Describes how to use and apply business analytics software Offers expanded coverage on the value and application of prescriptive analytics Includes a wealth of illustrative exercises that are newly organized by difficulty level Winner of the 2017 Textbook and Academic Authors Association's (TAA) Most Promising New Textbook Award in the prior edition

Business Simulation

Business Simulation
Author: Markus Baum
Publisher: GRIN Verlag
Total Pages: 63
Release: 2012-05-24
Genre: Business & Economics
ISBN: 3656198268

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Template, Example from the year 2010 in the subject Business economics - Operations Research, The University of Surrey (School of Management), language: English, abstract: Abstract Business simulation is simulation used for business training or analysis. It can be scenario-based or numeric-based. Most business simulations are used for business acumen training and development. Learning objectives include: strategic thinking, financial analysis, market analysis, operations, teamwork and leadership (WIKIPEDIA). The authors participated in a simulation. The results and mistakes are discussed in this presentation. The authors also discuss the theoretical foundations. This book contains the presentations illustrated and supplemented by explanatory texts. Content 1. Team Organisation 2. Environmental and internal strategic analysis 3. Strategic brief 4. Strategy review 5. Internal control system 6. Financial analysis 7. Conclusion Keyword Business simulation, reflection report, automotive industry, Team Organisation, Environmental and internal strategic analysis, strategic brief, strategy review, internal control system, financial analysis, conclusion, leadership, teamwork, storming, norming, forming, performing, PESTEL, Porter diamond, Porters five forces, start up, market penetration, profitability, new products, relaunch, R&D, KPI, Product portfolio and target markets, SOWT, marketing mix, 4 P, Product, Price, Promotion, Place, Plan, Results, Lessons learned, miscommunication, communication process, COSO, Internal control framework, 5 year trend, profitability analysis, efficiency analysis, investment analysis,

Simulation in Business and Management

Simulation in Business and Management
Author: Salvatore Belardo
Publisher: Society for Computer Simulation International
Total Pages: 178
Release: 1990
Genre: Business & Economics
ISBN:

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Business Process Modeling, Simulation and Design:

Business Process Modeling, Simulation and Design:
Author: Manuel Laguna, Johan Marklund
Publisher: Pearson Education India
Total Pages: 444
Release: 2011
Genre: Business planning
ISBN: 9332511705

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Business Process Modeling, Simulation and Design covers the design of business processes from a broad quantitative modeling perspective. The text presents a multitude of analytical tools that can be used to model, analyze, understand and ultimately, to design business processes. The range of topics in this text include graphical flowcharting tools, deterministic models for cycle time analysis and capacity decisions, analytical queuing methods, as well as the use of Data Envelopment Analysis (DEA) for benchmarking purposes. And a major portion of the book is devoted to simulation modeling using a state of the art discrete-event simulation package.

Dynamic Modeling for Business Management

Dynamic Modeling for Business Management
Author: Bernard McGarvey
Publisher: Springer Science & Business Media
Total Pages: 320
Release: 2006-05-04
Genre: Mathematics
ISBN: 0387215565

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Modelling is a tool used by savvy business managers to understand the processes of their business and to estimate the impact of changes. Dynamic Modelling for Business Management applies dynamic modelling to business management, using accessible modelling techniques that are demonstrated starting with fundamental processes and advancing to more complex business models. Discussions of modelling emphasize its practical use for decision making and implementing change for measurable results. Readers will learn about both manufacturing and service-oriented business processes using hands-on lessons. Then will then be able to manipulate additional models to try out their knowledge and address issues specific to their own businesses and interests. Some of the topics covered include workflow management, supply-chain-management, and strategy.

Research Anthology on Business and Technical Education in the Information Era

Research Anthology on Business and Technical Education in the Information Era
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 1448
Release: 2021-01-08
Genre: Education
ISBN: 1799853462

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The Fourth Industrial Revolution has disrupted businesses worldwide through the introduction of highly automated processes. This disruption has affected the way in which companies conduct business, impacting everything from managerial styles to resource allocations to necessary new skillsets. As the business world continues to change and evolve, it is imperative that business education strategies are continuously revised and updated in order to adequately prepare students who will be entering the workforce as future entrepreneurs, executives, and marketers, among other careers. The Research Anthology on Business and Technical Education in the Information Era is a vital reference source that examines the latest scholarly material on pedagogical approaches in finance, management, marketing, international business, and other fields. It also explores the implementation of curriculum development and instructional design strategies for technical education. Highlighting a range of topics such as business process management, skill development, and educational models, this multi-volume book is ideally designed for business managers, business and technical educators, entrepreneurs, academicians, upper-level students, and researchers.

Simulation in Business and Management, 1991

Simulation in Business and Management, 1991
Author: Calif.) S. C. S. Multiconference on Simulation in Business and Management (1991 : Anaheim
Publisher:
Total Pages: 0
Release: 1990
Genre:
ISBN: 9780911801798

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Simulation Modelling for Business

Simulation Modelling for Business
Author: Andrew Greasley
Publisher: Routledge
Total Pages: 226
Release: 2004
Genre: Business & Economics
ISBN: 9780754632146

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Simulation Modelling for Business is a comprehensive textbook ideal for use on undergraduate and postgraduate courses.The first section of the book provides a definition of simulation modelling and describes the skills and resources required to undertake a successful simulation study. Types of simulation are assessed and the basic concepts behind the method are outlined. The main part of the book follows the steps involved in conducting a simulation study and provides a practical guide to building a simulation model and to implementing the results.Reference is made throughout to ARENA, SIMUL8 and WITNESS; systems used in industry and widely available to students. Case studies from manufacturing and service industries demonstrate the effectiveness of the approach and chapter questions are provided to assist learning.

Managing Business Complexity

Managing Business Complexity
Author: Michael J. North
Publisher: Oxford University Press
Total Pages: 326
Release: 2007-03
Genre: Business & Economics
ISBN: 0195172116

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Agent-based modeling and simulation (ABMS), a way to simulate a large number of choices by individual actors, is one of the most exciting practical developments in business modeling since the invention of relational databases. It represents a new way to understand data and generate information that has never been available before--a way for businesses to view the future and to understand and anticipate the likely effects of their decisions on their markets and industries. It thus promises to have far-reaching effects on the way that businesses in many areas use computers to support practical decision-making.Managing Business Complexity is the first complete business-oriented agent-based modeling and simulation resource. It has three purposes: first, to teach readers how to think about ABMS, that is, about agents and their interactions; second, to teach readers how to explain the features and advantages of ABMS to other people and third, to teach readers how to actually implement ABMS by building agent-based simulations. It is intended to be a complete ABMS resource, accessible to readers who haven't had any previous experience in building agent-based simulations, or any other kinds of models, for that matter. It is also a collection of ABMS business applications resources, all assembled in one place for the first time. In short, Managing Business Complexity addresses who needs ABMS and why, where and when ABMS can be applied to the everyday business problems that surround us, and how specifically to build these powerful agent-based models.