@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 {Bocciarelli2015213, title = {A model-driven framework for distributed simulation of autonomous systems}, booktitle = {Simulation Series}, volume = {47}, number = {8}, year = {2015}, note = {cited By 1}, pages = {213-220}, publisher = {The Society for Modeling and Simulation International}, organization = {The Society for Modeling and Simulation International}, abstract = {

The adoption of systems with autonomous capabilities is becoming more and more relevant in many real-world operational scenarios, in which risky operations have to be carried out (e.g., a military battlefield or a search-and-rescue operation). In this context, innovative approaches should be introduced at design time to ensure that the system will achieve the mission objectives at operation time. To this purpose, distributed simulation techniques have shown to be effective to deal with the inherent complexity of the environment to be simulated, which generally includes several interacting entities. Unfortunately, currently available distributed simulation standards, such as HLA (High Level Architecture), require a non-negligible effort and significant skills in terms of both simulation methodologies and related implementation technologies. In this respect, this paper focuses on the simulationbased analysis of systems with autonomous capabilities and introduces a model-driven approach to support the automated generation of HLA-based distributed simulations. The proposed approach is founded on the use of model transformation techniques and allows system designers to carry out a timely and cost-effective simulation-based analysis of the operational system without being required to own specific distributed simulation skills. {\textcopyright} 2015 Society for Modeling \& Simulation International (SCS).

}, keywords = {Autonomous systems, Cost effectiveness, Distributed simulation techniques, Distributed simulations, MDA, Model driven development, Model transformation technique, Search and rescue operations, Simulation-based analysis, Software architecture}, issn = {07359276}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84928155948\&partnerID=40\&md5=9e8205a446169e040469dff647e9cfa3}, author = {Bocciarelli, P. and Andrea D{\textquoteright}Ambrogio and Giglio, A. and Paglia, E.}, editor = {Wang M.H., Barros F., D{\textquoteright}Ambrogio A., Zacharewicz G.} } @conference {Filippi2015311, title = {A service Systems Engineering framework with application to performance based logistics}, booktitle = {1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Proceedings}, year = {2015}, note = {cited By 0}, pages = {311-317}, publisher = {Institute of Electrical and Electronics Engineers Inc.}, organization = {Institute of Electrical and Electronics Engineers Inc.}, abstract = {

Although Systems Engineering (SE) is becoming progressively the leading discipline in the development of engineered systems, most of the functions performed by a system are {\textquoteright}delivered{\textquoteright} as services. This leads to what is referred to as Service Systems Engineering (SSE), which has its basis in the SE and, for specific types of services, represents the driving discipline to design successful systems capable of delivering effective services. In the defence market, the acquisition of defence and weapon systems is facing, in the last decades, a continuous budget contraction for both the acquisition and the support of the delivered systems. The main scope of support services, as an instance of SSE, is to define, deliver and asses the proper blend of services to ensure optimal system performance at an affordable life cycle cost. This paper introduces a model for the definition, implementation and continuous assessment of operational availability, in order to ensure that the required performance is met in a cost-effective way throughout the system lifecycle. The amount, distribution and continuous readiness of the logistic resources required to meet the target availability is the primary scope of what is referred to as performance based logistics, which this paper addresses by introducing a SSE framework to tailor, design, deliver and monitor logistic resources. {\textcopyright} 2015 IEEE.

}, keywords = {Budget control, Continuous assessment, Cost effectiveness, Engineered systems, Engineering frameworks, Life cycle, Logistics, Operational availability, Optimal system performance, Performance-based logistics, Support services, System lifecycle, Systems engineering}, isbn = {9781479919208}, doi = {10.1109/SysEng.2015.7302775}, url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954536711\&partnerID=40\&md5=d8ad59bdf17177796fadbbaa2dd0f1e5}, author = {Filippi, M. and Andrea D{\textquoteright}Ambrogio and Lisi, M.} }