000			04229nam a22003615i 4500
001			395233
003			ES-MaUEC
005			20230110120133.0
007			cr nn 008mamaa
008			220625s2022 sz | s |||| 0|eng d
020			_a9783030988166
024	7		_a10.1007/978-3-030-98816-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
100	1		_aSulis, Emilio. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aAgent-Based Business Process Simulation _bA Primer with Applications and Examples _cby Emilio Sulis, Kuldar Taveter.
250			_a1st edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XX, 182 páginas) _b70 ilustraciones, 48 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_aPart I: Introduction and Background -- 1. Introducing Agent-Based Simulation for the Business Processes -- 2. The Analysis of Business Processes -- 3. Agents and Organization Studies -- Part II: The Agent-Based Perspective -- 4. Agent-Based Simulation with NetLogo -- 5. Agent-Oriented Modeling -- 6. The Agent-Based Business Process Simulation Approach -- Part III: Agent-Based Modeling for Business Process Management -- 7. Multi-Agent Systems and Business Process Management -- 8. Practical Applications -- 9. Beyond Process Simulation.
520			_aThis 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.
776	0	8	_iPrinted edition: _z9783030988159
776	0	8	_iPrinted edition: _z9783030988173
776	0	8	_iPrinted edition: _z9783030988180
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-98816-6 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aSpringer_Computer_2022
999			_c395233 _d395233