@conference {182,
	title = {BPMN-Based Business Process Modeling and Simulation},
	booktitle = {Proceedings - Winter Simulation Conference},
	year = {2019},
	doi = {10.1109/WSC40007.2019.9004960},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081140337\&doi=10.1109\%2fWSC40007.2019.9004960\&partnerID=40\&md5=562c397f5282b4d755ea42195d8f5d51},
	author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Giglio, A. and Paglia, E.}
}
@conference {187,
	title = {A BPMN/HLA-Based Methodology for Collaborative Distributed des},
	booktitle = {Proceedings - 2019 IEEE 28th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2019},
	year = {2019},
	doi = {10.1109/WETICE.2019.00033},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071674691\&doi=10.1109\%2fWETICE.2019.00033\&partnerID=40\&md5=edfa6f3fbef940c14919b4803aa0f7b3},
	author = {Possik, J. and Amrani, A. and Vallespir, B. and D{\textquoteright}Ambrogio, A. and Zacharewicz, G.}
}
@article {194,
	title = {A BPMN extension to support discrete-event simulation for healthcare applications: An explicit representation of queues, attributes and data-driven decision points},
	journal = {Journal of the Operational Research Society},
	volume = {69},
	year = {2018},
	pages = {788-802},
	doi = {10.1057/s41274-017-0267-7},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021790477\&doi=10.1057\%2fs41274-017-0267-7\&partnerID=40\&md5=f0f30c77b3cccc771c50d7b8b6c878d4},
	author = {Onggo, B.S.S. and Proudlove, N.C. and D{\textquoteright}Ambrogio, A. and Calabrese, A. and Bisogno, S. and Levialdi Ghiron, N.}
}
@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 = {<p>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.</p>},
	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 {157,
	title = {Business process modeling and simulation: State of the art and MSaaS opportunities},
	booktitle = {Proceedings of the 2017 Summer Simulation Multi-Conference (SummerSim 2017)},
	year = {2017},
	publisher = {The Society for Modeling and Simulation International},
	organization = {The Society for Modeling and Simulation International},
	abstract = {<p>The analysis and continuous improvement of business processes (BPs) has a strategic relevance for those enterprises that strongly rely on the performance of their operational processes to deliver services and/or goods to customers. The adoption of Modeling \&amp; Simulation (M\&amp;S) approaches is widely recognized as a valuable solution for analyzing and improving BPs, even though it is not yet fully exploited, due to the required know-how, effort and cost. In this context, M\&amp;S as a Service (MSaaS) is a promising paradigm that contributes to effectively ease the introduction of M\&amp;S approaches in the BP lifecyle, by saving the investments required to build and maintain the needed hardware and software infrastructure. This paper first illustrates a survey that analyzes the state-of-The-Art regarding the adoption of M\&amp;S approaches in the BP domain and then, starting from a set of identified open issues, proposes a next generation MSaaS architecture which aims at enabling a time-And cost-effective M\&amp;S-based analysis of BPs. {\textcopyright} 2017 Society for Modeling \&amp; Simulation International (SCS).</p>},
	keywords = {Architecture, Business Process, Business process model, Continuous improvements, Cost benefit analysis, Cost effective, Cost effectiveness, Hardware and software, Investments, MSaaS, Operational process, State of the art, Surveying, Surveys, Systems engineering, Technology transfer},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029479125\&partnerID=40\&md5=ba1a219978ded9acd748ff217becba43},
	author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Mastromattei, A. and Paglia, E. and Giglio, A.},
	editor = {Syriani E. and D{\textquoteright}Ambrogio A.}
}
@conference {138,
	title = {Bringing Model-Based Systems Engineering Capabilities to Project Management: an Application to Prince2},
	booktitle = {CEUR Workshop Proceedings},
	year = {2016},
	publisher = {CEUR-WS},
	organization = {CEUR-WS},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84999268216\&partnerID=40\&md5=bc5793d603e17b2b57c9a5a5aa29192f},
	author = {Coppola, D. and D{\textquoteright}Ambrogio, A. and Gianni, D.}
}
