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Risorse bibliografiche
Risorsa bibliografica obbligatoria
Risorsa bibliografica facoltativa
Scheda Riassuntiva
Anno Accademico 2019/2020
Tipo incarico Dottorato
Insegnamento 055058 - BUSINESS PROCESS MANAGEMENT
Docente Plebani Pierluigi
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Dottorato Da (compreso) A (escluso) Insegnamento
MI (1380) - INGEGNERIA DELL'INFORMAZIONE / INFORMATION TECHNOLOGYAZZZZ055058 - BUSINESS PROCESS MANAGEMENT
055214 - BUSINESS PROCESS MANAGEMENT

Programma dettagliato e risultati di apprendimento attesi

One of the main goals of Business Process Management (BPM) is to reduce the gap between the definition and modeling of business processes, as seen by the organization managers, and their execution, as implemented by the available ICT solutions. In recent years, several models and approaches have been proposed for designing business processes (i.e., BPMN), and several platforms have been implemented to run them (e.g., workflows, BPEL engines).

The course has the following learning objectives:
- Understanding BPM Fundamentals and the main steps of the BPM lifecycle: from the design, to the enactment, till the improvement.
- Knowing the requirements for a good process modeling which emphasis on BPMN as a modeling tool
- Knowing the basics of the process mining as a methodology to discover business processes, check the conformance of processes, detect bottlenecks, and predict execution problems analyzing process logs.
- Understanding the role IT platforms in the design and the enactment of business processes with special emphasis on monitoring
- Knowing the current and relevant research challenges in BPM

The main topics introduced during the classes are:
- Introduction on Business Process Management: goals, mains steps in the lifecycle, current IT approaches and solutions
- Business Process Modeling: existing approaches, modeling with imperative (e.g., BPMN) and declarative (e.g., CMMN) languages
- Business Process verification: structural soundness and soundness verification with PetriNets
- Business Process Management Systems: architecture and current approaches
- Process mining: relation with Data Science, main algorithms and solutions tested with the usage of PROM: a tool for mining processes.
- Advancement in BPM: design-time and run-time adaptive busi-ness process management, types of flexibility, BPM in Cyber Physical Systems

 

 

 

The goals of this course are to introduce and discuss the following main topics related to the whole BPM life cycle (from the design to the evaluation):

- BPM Fundamentals: BPM lifecycle, BP classification (orchestration vs choreography, control-flow based vs artefact-based)
- BPM design: modelling languages and details on BPMN
- BPM enactment: business process and SOA (Web services and micro services)
- BPM monitoring: centralised vs. distributed
- Deep-dives into research


Note Sulla Modalità di valutazione

Discussion of an assigned argument, or development of a small project


Intervallo di svolgimento dell'attività didattica
Data inizio
Data termine

Calendario testuale dell'attività didattica

5/2/2020 (14:00-18:00) - Introduction on BPM
7/2/2020 (9:00-13:00) - BPM modeling
11/2/2020 (9:00-13:00) - BPM verification and enactment
13/2/2020 (9:00-13:00) - Introduction to Process Mining and Process Discovery
18/2/2020 (9:00-13:00) - Process Mining for conformance checking and ProM
20/2/2020 (9:00-13:00) - Advancement in BPM
19/3/2020 (9:00-13:00) - Discussion on projects


Bibliografia
Risorsa bibliografica obbligatoriaM. Weske, Business Process Management, Editore: Springer, Anno edizione: 2019, ISBN: 978-3-662-59431-5 https://doi.org/10.1007/978-3-662-59432-2
Risorsa bibliografica obbligatoriaM. Dumas, M. La Rosa, J. Mendling, H. Rejiers, Fundamentals of Business Process Management, Editore: Springer, Anno edizione: 2018, ISBN: 978-3-662-56508-7 https://doi.org/10.1007/978-3-662-56509-4
Risorsa bibliografica obbligatoriaWil van der Aalst, Process Mining, Editore: Springer-Verlag Berlin Heidelberg, Anno edizione: 2016, ISBN: 978-3-662-49850-7 https://doi.org/10.1007/978-3-662-49851-4

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
25.0
esercitazione
0.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
50.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese

Note Docente
schedaincarico v. 1.6.1 / 1.6.1
Area Servizi ICT
08/12/2019