@conference {148, title = {A BPMN extension for modeling Cyber-Physical-Production-Systems in the context of Industry 4.0}, booktitle = {Proceedings of the 2017 IEEE 14th International Conference on Networking, Sensing and Control, ICNSC 2017}, year = {2017}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, organization = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {

Industry 4.0 denotes a recent trend that aims at exploiting Cyber Physical Systems (CPS), based on IoT (Internet of Things) and cloud computing technologies, to obtain increased degrees of cooperation and communication in production systems, thus leading to what is referred to as Cyber Physical Production Systems (CPPS) or {\textquoteright}Smart Factories{\textquoteright}. {\textcopyright} 2017 IEEE.

}, keywords = {Administrative data processing, BPMN, Business process management, Cloud computing technologies, CPPS, Cyber Physical System, Cyber physicals, Cyber-physical systems (CPS), Distributed computer systems, Embedded systems, Enterprise resource management, Industrial plants, Internet of things, Production system, Resources management}, isbn = {9781509044283}, doi = {10.1109/ICNSC.2017.8000159}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028506510\&doi=10.1109\%2fICNSC.2017.8000159\&partnerID=40\&md5=21f941fe91fbcb4bc02afe439cad2075}, author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Giglio, A. and Paglia, E.}, editor = {Guerrieri A., Fortino G., Vasilakos A.V., Zhou M., Lukszo Z., Palau C., Liotta A., Vinci A., Basile F., Fanti M.P.} } @conference {Antonacci2016124, title = {A BPMN-based automated approach for the analysis of healthcare processes}, booktitle = {Proceedings - 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2016}, year = {2016}, note = {cited By 0}, pages = {124-129}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, organization = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {

Healthcare organizations are increasingly pushed to improve the quality of care service taking into account the increasing complexity in patient treatment and the continuous reduction of available resources. The adoption of Business Process Management (BPM) practices is thus becoming a key enabler for the improvement of healthcare processes (HPs). Accordingly, methods and tools are required to address behavioral and performance aspects from the early phases of the process lifecycle in order to improve the quality of healthcare, reduce costly reworks and increase the effectiveness of BPM approaches. This paper specifically addresses the specification and analysis phases of the process lifecycle and introduces a model-driven method for healthcare process simulation. The proposed method is based on a model transformation approach that takes as input the process specification in BPMN, appropriately extended to include the performance properties of the process, and yields as output the corresponding process simulation code, ready to be executed. In order to illustrate the method and its effectiveness, the paper describes an example application to a process dealing with the hip fracture for elderly patients. {\textcopyright} 2016 IEEE.

}, keywords = {Administrative data processing, BPMN, Business process management, Enterprise resource management, Health care, Healthcare process, Life cycle, Model transformation, Patient treatment, Process simulations, Specifications}, isbn = {9781509016631}, doi = {10.1109/WETICE.2016.35}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983805389\&partnerID=40\&md5=524846f6fc6c8c3f937421168f86515c}, author = {Antonacci, G. and Calabrese, A. and Andrea D{\textquoteright}Ambrogio and Giglio, A. and Intrigila, B. and Ghiron, N.L.}, editor = {Reddy S.M., Gaaloul W.} } @conference {D{\textquoteright}Ambrogio2016, title = {Towards performance-oriented perfective evolution of BPMN models}, booktitle = {Proceedings of the 2016 Spring Simulation Multiconference - TMS/DEVS Symposium on Theory of Modeling and Simulation, TMS/DEVS 2016}, year = {2016}, note = {cited By 0}, publisher = {The Society for Modeling and Simulation International}, organization = {The Society for Modeling and Simulation International}, abstract = {

Simulation techniques are successfully applied to analyze and validate the performance of a business process (BP) since the early phases of its lifecycle, when the BP representation is commonly specified in BPMN. The BP simulation model is first to be built from the BPMN model, then implemented and finally executed to yield the performance indices of interest. The model building activity includes a parameterization task that is carried out either by use of tool-specific facilities or through standardized languages for specifying simulation model parameters. In both cases, the parameters have to be externally linked to the BPMN model. A similar reasoning applies to the simulation results. This paper introduces a BPMN extension to annotate BPMN models with both the input parameters and the results provided by the BP analysis, so as to include in a single BPMN model all the data associated to the simulation-based analysis of a given BP. The paper also outlines an architecture that exploits the proposed extension to realize the performance-oriented perfective evolution of BPMN models, or the ability to introduce a feedback chain that makes use of simulation results to automatically refactor a BP model in order to better meet the BP performance objectives. {\textcopyright}2016 Society for Modeling \& Simulation International (SCS).

}, keywords = {BPMN, Business Process, Circuit simulation, Performance indices, Performance objective, Performance-oriented, Simulation, Simulation technique, Simulation-based analysis, Software architecture, Software engineering}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978142027\&partnerID=40\&md5=d9a565c888c8c352dcbe3e6d0a81d2ac}, author = {Andrea D{\textquoteright}Ambrogio and Paglia, E. and Bocciarelli, P. and Giglio, A.}, editor = {Barros F., Hu X., Denil J., Prahofer H.} } @conference {Bocciarelli2014278, title = {Empowering business process simulation through automated model transformations}, booktitle = {Simulation Series}, volume = {46}, number = {4}, year = {2014}, note = {cited By 2}, pages = {278-286}, publisher = {The Society for Modeling and Simulation International}, organization = {The Society for Modeling and Simulation International}, abstract = {Simulation is one of the most relevant techniques that can be used in the business process management domain to effectively enact a continuous enhancement of business processes (BPs). However, the effectiveness of BP simulation is still limited for several reasons (e.g., lack of simulation know-how of BP analysts, simulation model parameters hard to determine, semantic gap between the business process model and the simulation model). To overcome these limitations, this paper proposes a model-driven method that introduces a set of model transformations to automate the generation of executable simulation code of a BP from its abstract definition in BPMN, the standard language for specifying business processes. The simulation code is specified in eBPMN, a Java-based domain-specific language that has been designed and implemented according to the BPMN execution semantics.}, keywords = {Administrative data processing, BPM, BPMN, Computer simulation, Computer simulation languages, EBPMN, Enterprise resource management, Mathematical models, MDA, Model transformation, Problem oriented languages, Semantics, Software architecture, Technology transfer}, isbn = {9781632662156}, issn = {07359276}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901985241\&partnerID=40\&md5=ebb5d7bb28209e8901e06a4b70f40735}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Giglio, A. and Paglia, E. and Gianni, D.} }