Simulation Modelling For Business

Author : Andrew Greasley
Publisher : Routledge
Page : 135 pages
File Size : 47,9 Mb
Release : 2017-03-02
Category : Business & Economics
ISBN : 9781351899987

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Simulation Modelling for Business by Andrew Greasley Pdf

Simulation Modelling has been used for many years in the manufacturing sector but has now become a mainstream tool in business situations. This is partly because of the popularity of Business Process Reengineering (BPR) and other process based improvement methods that use simulation to help analyse changes in process design. This text book includes case studies in both manufacturing and service situations to demonstrate the usefulness of the approach. A further reason for the increasing popularity of the technique is the development of business orientated and user-friendly windows-based software. This text provides a guide to the use of ARENA, SIMUL8 and WITNESS simulation software systems which are widely used in industry and available to students. Overall this text provides a practical guide to building and implementing the results from a simulation model. All the steps in a typical simulation study are covered including data collection, input data modelling and experimentation.

Author : Michael Rees
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 45,5 Mb
Release : 2015-08-03
Category : Business & Economics
ISBN : 9781118904039

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Business Risk and Simulation Modelling in Practice by Michael Rees Pdf

The complete guide to the principles and practice of risk quantification for business applications. The assessment and quantification of risk provide an indispensable part of robust decision-making; to be effective, many professionals need a firm grasp of both the fundamental concepts and of the tools of the trade. Business Risk and Simulation Modelling in Practice is a comprehensive, in–depth, and practical guide that aims to help business risk managers, modelling analysts and general management to understand, conduct and use quantitative risk assessment and uncertainty modelling in their own situations. Key content areas include: Detailed descriptions of risk assessment processes, their objectives and uses, possible approaches to risk quantification, and their associated decision-benefits and organisational challenges. Principles and techniques in the design of risk models, including the similarities and differences with traditional financial models, and the enhancements that risk modelling can provide. In depth coverage of the principles and concepts in simulation methods, the statistical measurement of risk, the use and selection of probability distributions, the creation of dependency relationships, the alignment of risk modelling activities with general risk assessment processes, and a range of Excel modelling techniques. The implementation of simulation techniques using both Excel/VBA macros and the @RISK Excel add-in. Each platform may be appropriate depending on the context, whereas the core modelling concepts and risk assessment contexts are largely the same in each case. Some additional features and key benefits of using @RISK are also covered. Business Risk and Simulation Modelling in Practice reflects the author′s many years in training and consultancy in these areas. It provides clear and complete guidance, enhanced with an expert perspective. It uses approximately one hundred practical and real-life models to demonstrate all key concepts and techniques; these are accessible on the companion website.

Author : Andrew Greasley
Publisher : Routledge
Page : 226 pages
File Size : 51,6 Mb
Release : 2004
Category : Business & Economics
ISBN : 0754632148

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Simulation Modelling for Business by Andrew Greasley Pdf

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.

Author : Andrew Greasley
Publisher : Taylor & Francis
Page : 414 pages
File Size : 46,6 Mb
Release : 2022-09-21
Category : Business & Economics
ISBN : 9781000648829

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Simulation Modelling by Andrew Greasley Pdf

While simulation has a vast area of application, this textbook focuses on the use of simulation to analyse business processes. It provides an up-to-date coverage of all stages of the discrete-event simulation (DES) process, covering important areas such as conceptual modelling, modelling input data, verification and validation and simulation output analysis. The book is comprehensive yet uncomplicated, covering the theoretical aspects of the subject and the practical elements of a typical simulation project, demonstrated by cases, examples and exercises. It also shows how simulation relates to new developments in machine learning, big data analytics and conceptual modelling techniques. Guidance is provided on how to build DES models using the Arena, Simio and Simul8 simulation software, and tutorials for using the software are incorporated throughout. Simulation Modelling offers a uniquely practical and end-to-end overview of the subject, which makes it perfect required or recommended reading for advanced undergraduate and postgraduate students studying business simulation and simulation modelling as part of operations research, business analytics, supply chain management and computer science courses.

Author : Andrew Greasley
Publisher : Walter de Gruyter GmbH & Co KG
Page : 352 pages
File Size : 53,7 Mb
Release : 2019-10-21
Category : Business & Economics
ISBN : 9781547400690

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Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics by Andrew Greasley Pdf

This book outlines the benefits and limitations of simulation, what is involved in setting up a simulation capability in an organization, the steps involved in developing a simulation model and how to ensure that model results are implemented. In addition, detailed example applications are provided to show where the tool is useful and what it can offer the decision maker. In Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics, Andrew Greasley provides an in-depth discussion of Business process simulation and how it can enable business analytics How business process simulation can provide speed, cost, dependability, quality, and flexibility metrics Industrial case studies including improving service delivery while ensuring an efficient use of staff in public sector organizations such as the police service, testing the capacity of planned production facilities in manufacturing, and ensuring on-time delivery in logistics systems State-of-the-art developments in business process simulation regarding the generation of simulation analytics using process mining and modeling people’s behavior Managers and decision makers will learn how simulation provides a faster, cheaper and less risky way of observing the future performance of a real-world system. The book will also benefit personnel already involved in simulation development by providing a business perspective on managing the process of simulation, ensuring simulation results are implemented, and that performance is improved.

Author : Manuel Laguna, Johan Marklund
Publisher : Pearson Education India
Page : 448 pages
File Size : 52,7 Mb
Release : 2024-06-02
Category : Electronic
ISBN : 9789332511705

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Business Process Modeling, Simulation and Design: by Manuel Laguna, Johan Marklund Pdf

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.

Author : Damianos P. Sakas,Dimitrios K. Nasiopoulos,Yulia Taratuhina
Publisher : Springer Nature
Page : 523 pages
File Size : 50,7 Mb
Release : 2021-01-31
Category : Mathematics
ISBN : 9783030570651

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Business Intelligence and Modelling by Damianos P. Sakas,Dimitrios K. Nasiopoulos,Yulia Taratuhina Pdf

This book highlights interdisciplinary insights, latest research results, and technological trends in Business Intelligence and Modelling in fields such as: Business Intelligence, Business Transformation, Knowledge Dissemination & Implementation, Modeling for Logistics, Business Informatics, Business Model Innovation, Simulation Modelling, E-Business, Enterprise & Conceptual Modelling, etc. The book is divided into eight sections, grouping emerging marketing technologies together in a close examination of practices, problems and trends. The chapters have been written by researchers and practitioners that demonstrate a special orientation in Strategic Marketing and Business Intelligence. This volume shares their recent contributions to the field and showcases their exchange of insights.

Author : Manuel Laguna,Johan Marklund
Publisher : CRC Press
Page : 527 pages
File Size : 49,7 Mb
Release : 2013-04-25
Category : Business & Economics
ISBN : 9781439885253

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Business Process Modeling, Simulation and Design, Second Edition by Manuel Laguna,Johan Marklund Pdf

Most textbooks on business process management focus on either the nuts and bolts of computer simulation or the managerial aspects of business processes. Covering both technical and managerial aspects of business process management, Business Process Modeling, Simulation and Design, Second Edition presents the tools to design effective business processes and the management techniques to operate them efficiently. New to the Second Edition Three completely revised chapters that incorporate ExtendSim 8 An introduction to simulation A chapter on business process analytics Developed from the authors’ many years of teaching process design and simulation courses, the text provides students with a thorough understanding of numerous analytical tools that can be used to model, analyze, design, manage, and improve business processes. It covers a wide range of approaches, including discrete event simulation, graphical flowcharting tools, deterministic models for cycle time analysis and capacity decisions, analytical queuing methods, and data mining. Unlike other operations management books, this one emphasizes user-friendly simulation software as well as business processes, rather than only manufacturing processes or general operations management problems. Taking an analytical modeling approach to process design, this book illustrates the power of simulation modeling as a vehicle for analyzing and designing business processes. It teaches how to apply process simulation and discusses the managerial implications of redesigning processes. The ExtendSim software is available online and ancillaries are available for instructors.

Author : Andrew Greasley
Publisher : Springer Science & Business Media
Page : 152 pages
File Size : 53,6 Mb
Release : 2008-05-07
Category : Business & Economics
ISBN : 9781848001695

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Enabling a Simulation Capability in the Organisation by Andrew Greasley Pdf

This book addresses the application of simulation modelling techniques in order to enable better informed decisions in business and industrial organisations. The book’s unique approach treats simulation not just as a technical tool, but as a support for organisational decision making, showing the results from a survey of current and potential users of simulation to suggest reasons why the technique is not used as much as it should be and what are the barriers to its further use.

Author : Manuel Laguna,Johan Marklund
Publisher : CRC Press
Page : 526 pages
File Size : 55,8 Mb
Release : 2018-12-07
Category : Business & Economics
ISBN : 9780429673337

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Business Process Modeling, Simulation and Design by Manuel Laguna,Johan Marklund Pdf

Business Process Modeling, Simulation and Design, Third Edition provides students with a comprehensive coverage of a range of analytical tools used to model, analyze, understand, and ultimately design business processes. The new edition of this very successful textbook includes a wide range of approaches such as graphical flowcharting tools, cycle time and capacity analyses, queuing models, discrete-event simulation, simulation-optimization, and data mining for process analytics. While most textbooks on business process management either focus on the intricacies of computer simulation or managerial aspects of business processes, this textbook does both. It presents the tools to design business processes and management techniques on operating them efficiently. The book focuses on the use of discrete event simulation as the main tool for analyzing, modeling, and designing effective business processes. The integration of graphic user-friendly simulation software enables a systematic approach to create optimal designs.

Author : Joan Carles Ferrer-Comalat,Salvador Linares-Mustarós,José M. Merigó,Janusz Kacprzyk
Publisher : Springer
Page : 218 pages
File Size : 52,6 Mb
Release : 2019-03-18
Category : Technology & Engineering
ISBN : 9783030154134

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Modelling and Simulation in Management Sciences by Joan Carles Ferrer-Comalat,Salvador Linares-Mustarós,José M. Merigó,Janusz Kacprzyk Pdf

This book includes a collection of selected papers presented at the International Conference on Modelling and Simulation in Engineering, Economics, and Management, held at the Faculty of Economics and Business at the University of Girona, Spain, 28-29 June 2018.The conference was organized by the Association for the Advancement of Modelling and Simulation Techniques in Enterprises (AMSE) and the University of Girona with the aim of promoting research in the field of modelling, simulation and management science. This book presents original research studies related to fuzzy logic, soft computing and uncertainty, as well as a number of papers in the field of bibliometrics in social sciences. Presenting new advances in these areas, with a special focus on management, economics and social sciences. It is of great interest to researchers and Ph.D. students working in the field of fuzzy logic, soft computing, uncertainty and bibliometrics.

Author : Patrick L. Anderson
Publisher : CRC Press
Page : 499 pages
File Size : 50,9 Mb
Release : 2004-07-27
Category : Mathematics
ISBN : 9780203494653

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Business Economics and Finance with MATLAB, GIS, and Simulation Models by Patrick L. Anderson Pdf

This book takes recent theoretical advances in Finance and Economics and shows how they can be implemented in the real world. It presents tactics for using mathematical and simulation models to solve complex tasks of forecasting income, valuing businesses, predicting retail sales, and evaluating markets and tax and regulatory problems. Busine

Author : Jonathan P. Pinder
Publisher : Academic Press
Page : 513 pages
File Size : 47,8 Mb
Release : 2022-02-06
Category : Business & Economics
ISBN : 9780323991179

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Introduction to Business Analytics Using Simulation by Jonathan P. Pinder Pdf

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

Author : Les Oakshott
Publisher : Unknown
Page : 128 pages
File Size : 43,7 Mb
Release : 1997
Category : Electronic
ISBN : OCLC:1042906453

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Business modelling and simulation by Les Oakshott Pdf

Author : Louis G. Birta,Gilbert Arbez
Publisher : Springer Science & Business Media
Page : 463 pages
File Size : 54,9 Mb
Release : 2007-09-07
Category : Computers
ISBN : 9781846286216

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Modelling and Simulation by Louis G. Birta,Gilbert Arbez Pdf

This book provides a balanced and integrated presentation of modelling and simulation activity for both Discrete Event Dynamic Systems (DEDS) and Continuous Time Dynamic Systems (CYDS). The authors establish a clear distinction between the activity of modelling and that of simulation, maintaining this distinction throughout. The text offers a novel project-oriented approach for developing the modelling and simulation methodology, providing a solid basis for demonstrating the dependency of model structure and granularity on project goals. Comprehensive presentation of the verification and validation activities within the modelling and simulation context is also shown.