@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 = {

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 \& Simulation (M\&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\&S as a Service (MSaaS) is a promising paradigm that contributes to effectively ease the introduction of M\&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\&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\&S-based analysis of BPs. {\textcopyright} 2017 Society for Modeling \& Simulation International (SCS).

}, 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 {156, title = {A cloud-based service-oriented architecture for business process modeling and simulation}, booktitle = {CEUR Workshop Proceedings {\textendash} INCOSE Italia Conference on Systems Engineering}, year = {2017}, publisher = {CEUR-WS}, organization = {CEUR-WS}, abstract = {

The adoption of Modeling \& Simulation (M\&S) approaches is widely recognized as a valuable solution for enacting a timely analysis of business processes (BPs). Despite their relevance, the effective introduction of such approaches in the BP lifecycle is still limited, due to the know-how and skills for building and implementing a simulation model and to the cost and effort for setting up and maintaining the execution platform. In this respect, this paper proposes a cloud-based architecture that exploits the M\&S as a Service (MSaaS) paradigm and containerization technology for the flexible and dynamic composition of M\&S services, so to allow business analysts to carry out an effortless and effective M\&S-based BP analysis. An example case study dealing with an e-commerce scenario is also presented in order to show the actual application of the proposed approach.

}, keywords = {Business analysts, Business Process, Business process model, Cloud-based, Cloud-based architectures, Computer architecture, Dynamic composition, Execution platforms, Information services, Service oriented architecture (SOA), Simulation model, Systems engineering, Technology transfer}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038838268\&partnerID=40\&md5=801305b85d284d68f1f5963ae4bc3f4d}, author = {Bocciarelli, P. and D{\textquoteright}Ambrogio, A. and Paglia, E. and Panetti, T. and Giglio, A.} } @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 {Bocciarelli20153012, title = {Simulation-based performance and reliability analysis of business processes}, booktitle = {Proceedings - Winter Simulation Conference}, volume = {2015-January}, year = {2015}, note = {cited By 2}, pages = {3012-3023}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, organization = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {

The use of process modeling combined with the use of simulation-based analysis provides a valuable way to analyze business processes (BPs) and to evaluate design alternatives before committing resources and effort. The simulation-based analysis of BPs usually addresses performance in terms of efficiency, i.e., focusing on time-related properties (e.g., throughput or execution time). Differently, this paper proposes an automated method for the analysis of BPs in terms of both efficiency-related performance and reliability. In addition, the method allows business analysts to carry out a joint performance and reliability analysis by introducing a so-called performability attribute. The proposed method is illustrated by use of a running example dealing with a conventional e-commerce scenario. {\textcopyright} 2014 IEEE.

}, keywords = {Automated methods, Business analysts, Business Process, Design alternatives, Joint performance, Performance and reliabilities, Process Modeling, Reliability, Reliability analysis, Simulation-based analysis}, isbn = {9781479974863}, issn = {08917736}, doi = {10.1109/WSC.2014.7020140}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84940521933\&partnerID=40\&md5=04c0407c66dbcda5756df2c96a686040}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Giglio, A. and Paglia, E.}, editor = {Tolk A., Diallo S.Y., Ryzhov I.O., Yilmaz L.} }