| TÃtulo : |
Artifact-Driven Business Process Monitoring : A Novel Approach to Transparently Monitor Business Processes, Supported by Methods, Tools, and Real-World Applications |
| Tipo de documento: |
documento electrónico |
| Autores: |
Meroni, Giovanni, Autor |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XIII, 161 p. 1 ilustraciones |
| ISBN/ISSN/DL: |
978-3-030-32412-4 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Software de la aplicacion TecnologÃa de la información Objetos cooperantes (Sistemas informáticos) Aplicaciones informáticas y de sistemas de información Gestión de Procesos de Negocio Sistemas ciberfÃsicos |
| Ãndice Dewey: |
005.3 Ciencia de los computadores (Programas) |
| Resumen: |
Este libro propone una técnica novedosa, denominada monitoreo de procesos impulsado por artefactos, mediante la cual los procesos multipartitos, que involucran actividades no automatizadas, pueden monitorearse de manera continua y autónoma. Esta técnica explota el paradigma de Internet de las cosas (IoT) para hacer que los objetos fÃsicos que participan en un proceso sean inteligentes. Al estar equipados con sensores, un dispositivo informático y una interfaz de comunicación, estos objetos inteligentes pueden tomar conciencia de sus propias condiciones y del proceso en el que participan, e intercambiar esta información con otros objetos inteligentes y las organizaciones involucradas. Para permitir que las organizaciones reutilicen modelos de procesos preexistentes, también se presenta un método para instruir a objetos inteligentes según diagramas de colaboración de Notación y Modelo de Procesos de Negocio (BPMN). El trabajo constituye una versión revisada de la tesis doctoral escrita por el autor en la Escuela de Doctorado en IngenierÃa de la Información del Politecnico di Milano, Italia. En 2019, la tesis doctoral ganó el "Premio Doctorado CAiSE", otorgado a tesis doctorales destacadas en el campo de la IngenierÃa de Sistemas de Información. . |
| Nota de contenido: |
1 Introduction -- 1.1 Motivations -- 1.2 Research Challenges -- 1.3 Research Questions -- 1.4 Major Contributions -- 1.5 Book Structure -- 2 Related Work -- 2.1 Business Process Monitoring -- 2.1.1 Process Monitoring Based on Sensor Data -- 2.1.2 Event Data Logging -- 2.1.3 Business Activity Monitoring -- 2.1.4 Conformance and Compliance Checking -- 2.2 Declarative Languages -- 2.2.1 Constraint-based Languages -- 2.2.2 Artifact-centric Languages -- 2.2.3 Case Management Languages -- 2.2.4 Imperative to Declarative Model Translators -- 2.3 The Internet of Things -- 2.3.1 Enabling technologies of the IoT -- 2.3.2 Ontologies for the IoT -- 2.3.3 Synergies between the IoT and BPM -- 3 Artifact-driven Process Monitoring Overview -- 3.1 Motivating Example -- 3.2 Introducing Artifact-driven Process Monitoring -- 3.3 Reference Architecture -- 3.4 Summary -- 4 E-GSM: an Artifact-centric Language for Process Monitoring -- 4.1 The Guard-Stage-Milestone Artifact-centric Language -- 4.2 Extending GSM -- 4.3 Assessing the severity of Constraints Violations -- 4.4 E-GSM Expressiveness -- 4.4.1 Activity Exclusion -- 4.4.2 Activity Overlap -- 4.4.3 Responded Existence -- 4.4.4 Constrained Iteration -- 4.5 Summary -- 5 A Method to Easily Configure the Monitoring Platform -- 5.1 Steps -- 5.1.1 Enriching the BPMN Process Model With Artifacts -- 5.1.2 Extracting the Artifact-oriented Process View -- 5.1.3 Generating the E-GSM Process Model -- 5.1.4 Generating the E-GSM Artifact Lifecycle Model -- 5.1.5 Generating the Artifact-to-object Mapping Criteria -- 5.2 Proof of Correctness -- 5.2.1 Trace Conformance -- 5.2.2 Execution Flow Alignment -- 5.2.3 Artifact Lifecycle Alignment -- 5.3 Summary -- 6 Assessing and Improving Process Monitorability -- 6.1 Formalizing the Capabilities of the Smart Objects -- 6.1.1 Smart Objects Ontology -- 6.1.2 State Detection Rules Ontology -- 6.2 Problem Setting -- 6.3 Process Monitorability Assessment -- 6.4 Process Monitorability Improvement -- 6.4.1 Process model improvement -- 6.4.2 State detection rules improvement -- 6.4.3 Infrastructure improvement -- 6.5 Summary -- 7 Implementing and Evaluating Artifact-driven Process Monitoring -- 7.1 SMARTifact: an Artifact-driven Monitoring Platform -- 7.2 Simulated Environment -- 7.3 Field Evaluation -- 7.4 Summary -- 8 Conclusions -- 8.1 Answers to the Research Questions -- 8.2 Achievements in Runtime Process Monitoring -- 8.3 Achievements in the Integration Among BPM and IoT -- 8.4 Current Limitations and Future Work -- A Criteria to Evaluate the Integration Among BPM and IoT -- A.1 Placing sensors in a process-oriented way (IC1) -- A.2 Monitoring manual activities (IC2) -- A.3 Connecting analytical processes with the IoT (IC3) -- A.4 Exploiting the IoT to do process correctness check (IC4) -- A.5 Dealing with unstructured environments (IC5) -- A.6 Managing the links between micro processes (IC6) -- A.7 Breaking down end-to-end processes (IC7) -- A.8 Detecting new processes from data (IC8) -- A.9 Specifying the autonomy level of smart objects (IC9) -- A.10 Specifyingthe socialroles of smart objects (IC10) -- A.11 Concretizing abstract process models (IC11) -- A.12 Dealing with new situations (IC12) -- A.13 Bridging the gap between process-based and event-based systems (IC13) -- A.14 Improving online conformance checking (IC14) -- A.15 Improving resource utilization optimization (IC15) -- A.16 Improving resource monitoring and quality of task execution (IC16) -- B BPMN to E-GSM Translation Proof of Correctness -- B.1 Process Model -- B.1.1 Data Component -- B.1.2 Blocks -- B.1.3 Process Model -- B.2 Trace Conformance -- B.3 Conformance Preservation of the Translation -- References. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
Artifact-Driven Business Process Monitoring : A Novel Approach to Transparently Monitor Business Processes, Supported by Methods, Tools, and Real-World Applications [documento electrónico] / Meroni, Giovanni, Autor . - 1 ed. . - [s.l.] : Springer, 2019 . - XIII, 161 p. 1 ilustraciones. ISBN : 978-3-030-32412-4 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Software de la aplicacion TecnologÃa de la información Objetos cooperantes (Sistemas informáticos) Aplicaciones informáticas y de sistemas de información Gestión de Procesos de Negocio Sistemas ciberfÃsicos |
| Ãndice Dewey: |
005.3 Ciencia de los computadores (Programas) |
| Resumen: |
Este libro propone una técnica novedosa, denominada monitoreo de procesos impulsado por artefactos, mediante la cual los procesos multipartitos, que involucran actividades no automatizadas, pueden monitorearse de manera continua y autónoma. Esta técnica explota el paradigma de Internet de las cosas (IoT) para hacer que los objetos fÃsicos que participan en un proceso sean inteligentes. Al estar equipados con sensores, un dispositivo informático y una interfaz de comunicación, estos objetos inteligentes pueden tomar conciencia de sus propias condiciones y del proceso en el que participan, e intercambiar esta información con otros objetos inteligentes y las organizaciones involucradas. Para permitir que las organizaciones reutilicen modelos de procesos preexistentes, también se presenta un método para instruir a objetos inteligentes según diagramas de colaboración de Notación y Modelo de Procesos de Negocio (BPMN). El trabajo constituye una versión revisada de la tesis doctoral escrita por el autor en la Escuela de Doctorado en IngenierÃa de la Información del Politecnico di Milano, Italia. En 2019, la tesis doctoral ganó el "Premio Doctorado CAiSE", otorgado a tesis doctorales destacadas en el campo de la IngenierÃa de Sistemas de Información. . |
| Nota de contenido: |
1 Introduction -- 1.1 Motivations -- 1.2 Research Challenges -- 1.3 Research Questions -- 1.4 Major Contributions -- 1.5 Book Structure -- 2 Related Work -- 2.1 Business Process Monitoring -- 2.1.1 Process Monitoring Based on Sensor Data -- 2.1.2 Event Data Logging -- 2.1.3 Business Activity Monitoring -- 2.1.4 Conformance and Compliance Checking -- 2.2 Declarative Languages -- 2.2.1 Constraint-based Languages -- 2.2.2 Artifact-centric Languages -- 2.2.3 Case Management Languages -- 2.2.4 Imperative to Declarative Model Translators -- 2.3 The Internet of Things -- 2.3.1 Enabling technologies of the IoT -- 2.3.2 Ontologies for the IoT -- 2.3.3 Synergies between the IoT and BPM -- 3 Artifact-driven Process Monitoring Overview -- 3.1 Motivating Example -- 3.2 Introducing Artifact-driven Process Monitoring -- 3.3 Reference Architecture -- 3.4 Summary -- 4 E-GSM: an Artifact-centric Language for Process Monitoring -- 4.1 The Guard-Stage-Milestone Artifact-centric Language -- 4.2 Extending GSM -- 4.3 Assessing the severity of Constraints Violations -- 4.4 E-GSM Expressiveness -- 4.4.1 Activity Exclusion -- 4.4.2 Activity Overlap -- 4.4.3 Responded Existence -- 4.4.4 Constrained Iteration -- 4.5 Summary -- 5 A Method to Easily Configure the Monitoring Platform -- 5.1 Steps -- 5.1.1 Enriching the BPMN Process Model With Artifacts -- 5.1.2 Extracting the Artifact-oriented Process View -- 5.1.3 Generating the E-GSM Process Model -- 5.1.4 Generating the E-GSM Artifact Lifecycle Model -- 5.1.5 Generating the Artifact-to-object Mapping Criteria -- 5.2 Proof of Correctness -- 5.2.1 Trace Conformance -- 5.2.2 Execution Flow Alignment -- 5.2.3 Artifact Lifecycle Alignment -- 5.3 Summary -- 6 Assessing and Improving Process Monitorability -- 6.1 Formalizing the Capabilities of the Smart Objects -- 6.1.1 Smart Objects Ontology -- 6.1.2 State Detection Rules Ontology -- 6.2 Problem Setting -- 6.3 Process Monitorability Assessment -- 6.4 Process Monitorability Improvement -- 6.4.1 Process model improvement -- 6.4.2 State detection rules improvement -- 6.4.3 Infrastructure improvement -- 6.5 Summary -- 7 Implementing and Evaluating Artifact-driven Process Monitoring -- 7.1 SMARTifact: an Artifact-driven Monitoring Platform -- 7.2 Simulated Environment -- 7.3 Field Evaluation -- 7.4 Summary -- 8 Conclusions -- 8.1 Answers to the Research Questions -- 8.2 Achievements in Runtime Process Monitoring -- 8.3 Achievements in the Integration Among BPM and IoT -- 8.4 Current Limitations and Future Work -- A Criteria to Evaluate the Integration Among BPM and IoT -- A.1 Placing sensors in a process-oriented way (IC1) -- A.2 Monitoring manual activities (IC2) -- A.3 Connecting analytical processes with the IoT (IC3) -- A.4 Exploiting the IoT to do process correctness check (IC4) -- A.5 Dealing with unstructured environments (IC5) -- A.6 Managing the links between micro processes (IC6) -- A.7 Breaking down end-to-end processes (IC7) -- A.8 Detecting new processes from data (IC8) -- A.9 Specifying the autonomy level of smart objects (IC9) -- A.10 Specifyingthe socialroles of smart objects (IC10) -- A.11 Concretizing abstract process models (IC11) -- A.12 Dealing with new situations (IC12) -- A.13 Bridging the gap between process-based and event-based systems (IC13) -- A.14 Improving online conformance checking (IC14) -- A.15 Improving resource utilization optimization (IC15) -- A.16 Improving resource monitoring and quality of task execution (IC16) -- B BPMN to E-GSM Translation Proof of Correctness -- B.1 Process Model -- B.1.1 Data Component -- B.1.2 Blocks -- B.1.3 Process Model -- B.2 Trace Conformance -- B.3 Conformance Preservation of the Translation -- References. |
| En lÃnea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
Artifact-Driven Business Process Monitoring
