Agent-Based Business Process Simulation
Agent-Based Business Process Simulation

Author: Emilio Sulis

Publisher: Springer Nature

Published: 2022-07-27

Total Pages: 182

ISBN-13: 3030988163

DOWNLOAD EBOOK

This book provides a conceptual clarification of the interconnections between agent-based modeling and business process management (BPM) and presents practical examples of agent-based models dealing with BPM and simulation in NetLogo. The book is structured in three parts. Part I starts with the motivation for the work and introduces the general structure of the book. Next, chapter 2 provides a brief introduction to main BPM concepts including the business process lifecycle, which describes the analysis of an organization by means of modeling and simulation, business process performance indicators, and the automatic extraction of information from event data. Chapter 3 then offers a summary of the concept of agent and the studies concerning agent-based approaches that involve business process analysis and management studies. Part II of the book introduces in chapter 4 the NetLogo tool adopted throughout the remaining book. After that, chapter 5 focuses on agent-oriented modeling as a problem domain analysis and design approach for creating decision-support systems based on agent-based simulations. Chapter 6 further describes the topic of agent-based modeling and simulation for business process analysis. The final part III starts with chapter 7 that reviews some BPM applications by introducing programs enabling to manage models represented in standard formats, such as BPMN, Petri nets, and the eXtensible Event Stream standard language. Subsequently, chapter 8 describes a number of case studies from different areas, and eventually, chapter 9 introduces some examples of advanced topics of process mining and agent-based simulation with process discovery, conformance checking, and agent-based applications utilizing Petri nets. The book is primarily written for researchers and advanced graduate and PhD students who look for an introduction to the fruitful exploitation of agent-based modeling to business process management. The book is also useful for industry practitioners who are interested in supporting their business decisions with computational simulations. The book is complemented by a dedicated web site with lots of additional details and models in NetLogo for further evaluation by the reader.

Agent-Based Modelling of Socio-Technical Systems
Agent-Based Modelling of Socio-Technical Systems

Author: Koen H. van Dam

Publisher: Springer Science & Business Media

Published: 2012-10-09

Total Pages: 285

ISBN-13: 9400749325

DOWNLOAD EBOOK

Decision makers in large scale interconnected network systems require simulation models for decision support. The behaviour of these systems is determined by many actors, situated in a dynamic, multi-actor, multi-objective and multi-level environment. How can such systems be modelled and how can the socio-technical complexity be captured? Agent-based modelling is a proven approach to handle this challenge. This book provides a practical introduction to agent-based modelling of socio-technical systems, based on a methodology that has been developed at TU Delft and which has been deployed in a large number of case studies. The book consists of two parts: the first presents the background, theory and methodology as well as practical guidelines and procedures for building models. In the second part this theory is applied to a number of case studies, where for each model the development steps are presented extensively, preparing the reader for creating own models.

AnyLogic 7 in Three Days
AnyLogic 7 in Three Days

Author: Ilya Grigoryev

Publisher:

Published: 2015-03-20

Total Pages: 0

ISBN-13: 9781508933748

DOWNLOAD EBOOK

THE NEW EDITION OF THE BOOK, COMPLETELY UP-TO-DATE (FOR ANYLOGIC 8.3.2) IS AVAILABLE HERE: https://www.amazon.com/AnyLogic-Three-Days-Simulation-Modeling-ebook/dp/B07FYP8Y3C

How Do I Develop an Agent-Based Model?
How Do I Develop an Agent-Based Model?

Author: Davide Secchi

Publisher: Edward Elgar Publishing

Published: 2022-04-28

Total Pages: 176

ISBN-13: 9781839105197

DOWNLOAD EBOOK

This clear and coherent book introduces agent-based modelling (ABM) to those who are not familiar with nor have been previously exposed to computational simulation. Featuring examples, cases and models, the book illustrates how ABM can, and should, be considered as a useful approach and technique for the study of management and organisational systems. Davide Secchi begins by explaining what ABM has to offer as opposed to other techniques, emphasising its suitability to the study of complex social systems. While dissecting the core components of the approach, he introduces key elements and mechanisms with a practice oriented approach rather than insisting solely on logic and theory. With an emphasis on applications and using examples from NetLogo -- one of the most widely used agent-based software platforms -- the book guides the reader through a step-by-step process on how to develop a computational simulation. Featuring a hands-on applied approach that makes a difficult topic easy for non-modellers, How Do I Develop an Agent-Based Model? will be a key resource for business and management Masters-level students embarking on a dissertation project. It will also be a useful reference for PhD students in the field, as well as a starting point for academics who would like to begin using ABM in their research.

Introduction to Discrete Event Simulation and Agent-based Modeling
Introduction to Discrete Event Simulation and Agent-based Modeling

Author: Theodore T. Allen

Publisher: Springer Science & Business Media

Published: 2011-01-12

Total Pages: 220

ISBN-13: 0857291394

DOWNLOAD EBOOK

Discrete event simulation and agent-based modeling are increasingly recognized as critical for diagnosing and solving process issues in complex systems. Introduction to Discrete Event Simulation and Agent-based Modeling covers the techniques needed for success in all phases of simulation projects. These include: • Definition – The reader will learn how to plan a project and communicate using a charter. • Input analysis – The reader will discover how to determine defensible sample sizes for all needed data collections. They will also learn how to fit distributions to that data. • Simulation – The reader will understand how simulation controllers work, the Monte Carlo (MC) theory behind them, modern verification and validation, and ways to speed up simulation using variation reduction techniques and other methods. • Output analysis – The reader will be able to establish simultaneous intervals on key responses and apply selection and ranking, design of experiments (DOE), and black box optimization to develop defensible improvement recommendations. • Decision support – Methods to inspire creative alternatives are presented, including lean production. Also, over one hundred solved problems are provided and two full case studies, including one on voting machines that received international attention. Introduction to Discrete Event Simulation and Agent-based Modeling demonstrates how simulation can facilitate improvements on the job and in local communities. It allows readers to competently apply technology considered key in many industries and branches of government. It is suitable for undergraduate and graduate students, as well as researchers and other professionals.

Assessing the Use of Agent-Based Models for Tobacco Regulation
Assessing the Use of Agent-Based Models for Tobacco Regulation

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2015-07-17

Total Pages: 269

ISBN-13: 0309317258

DOWNLOAD EBOOK

Tobacco consumption continues to be the leading cause of preventable disease and death in the United States. The Food and Drug Administration (FDA) regulates the manufacture, distribution, and marketing of tobacco products - specifically cigarettes, cigarette tobacco, roll-your-own tobacco, and smokeless tobacco - to protect public health and reduce tobacco use in the United States. Given the strong social component inherent to tobacco use onset, cessation, and relapse, and given the heterogeneity of those social interactions, agent-based models have the potential to be an essential tool in assessing the effects of policies to control tobacco. Assessing the Use of Agent-Based Models for Tobacco Regulation describes the complex tobacco environment; discusses the usefulness of agent-based models to inform tobacco policy and regulation; presents an evaluation framework for policy-relevant agent-based models; examines the role and type of data needed to develop agent-based models for tobacco regulation; provides an assessment of the agent-based model developed for FDA; and offers strategies for using agent-based models to inform decision making in the future.

Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics
Simulating Business Processes for Descriptive, Predictive, and Prescriptive Analytics

Author: Andrew Greasley

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2019-10-21

Total Pages: 405

ISBN-13: 1547400714

DOWNLOAD EBOOK

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.

Business Process Management
Business Process Management

Author: Chiara Di Francescomarino

Publisher: Springer Nature

Published: 2023-08-31

Total Pages: 510

ISBN-13: 3031416201

DOWNLOAD EBOOK

This book constitutes the refereed proceedings of the 21st International Conference on Business Process Management, BPM 2023, which took place in Utrecht, The Netherlands, in September 2023. The 27 papers included in this book were carefully reviewed and selected from 151 submissions. They were organized in three main research tracks: Foundations, engineering, and management.

Agent-Based Modelling in Population Studies
Agent-Based Modelling in Population Studies

Author: André Grow

Publisher: Springer

Published: 2016-08-11

Total Pages: 511

ISBN-13: 3319322834

DOWNLOAD EBOOK

This book examines the use of agent-based modelling (ABM) in population studies, from concepts to applications, best practices to future developments. It features papers written by leading experts in the field that will help readers to better understand the usefulness of ABM for population projections, how ABM can be injected with empirical data to achieve a better match between model and reality, how geographic information can be fruitfully used in ABM, and how ABM results can be reported effectively and correctly. Coverage ranges from detailing the relation between ABM and existing paradigms in population studies to infusing agent-based models with empirical data. The papers show the benefits that ABM offers the field, including enhanced theory formation by better linking the micro level with the macro level, the ability to represent populations more adequately as complex systems, and the possibility to study rare events and the implications of alternative mechanisms in artificial laboratories. In addition, readers will discover guidelines and best practices with detailed examples of how to apply agent-based models in different areas of population research, including human mating behaviour, migration, and socio-structural determinants of health behaviours. Earlier versions of the papers in this book have been presented at the workshop “Recent Developments and Future Directions in Agent-Based Modelling in Population Studies,” which took place at the University of Leuven (KU Leuven), Belgium, in September 2014. The book will contribute to the development of best practices in the field and will provide a solid point of reference for scholars who want to start using agent-based modelling in their own research.

An Introduction to Agent-Based Modeling
An Introduction to Agent-Based Modeling

Author: Uri Wilensky

Publisher: MIT Press

Published: 2015-04-03

Total Pages: 505

ISBN-13: 0262731894

DOWNLOAD EBOOK

A comprehensive and hands-on introduction to the core concepts, methods, and applications of agent-based modeling, including detailed NetLogo examples. The advent of widespread fast computing has enabled us to work on more complex problems and to build and analyze more complex models. This book provides an introduction to one of the primary methodologies for research in this new field of knowledge. Agent-based modeling (ABM) offers a new way of doing science: by conducting computer-based experiments. ABM is applicable to complex systems embedded in natural, social, and engineered contexts, across domains that range from engineering to ecology. An Introduction to Agent-Based Modeling offers a comprehensive description of the core concepts, methods, and applications of ABM. Its hands-on approach—with hundreds of examples and exercises using NetLogo—enables readers to begin constructing models immediately, regardless of experience or discipline. The book first describes the nature and rationale of agent-based modeling, then presents the methodology for designing and building ABMs, and finally discusses how to utilize ABMs to answer complex questions. Features in each chapter include step-by-step guides to developing models in the main text; text boxes with additional information and concepts; end-of-chapter explorations; and references and lists of relevant reading. There is also an accompanying website with all the models and code.