Andrea Giglio

• PhD
• University of Rome Tor Vergata

The combination of process modeling and simulation-based analysis provides a quantitative approach to analyze business processes, and to evaluate design alternatives before committing the required resources, to properly align operations with business strategies, improve operational efficiency, and gain competitive advantage. However, the use of sim...

Modern systems are exposing an ever increasing degree of complexity also due to the heterogeneity of the involved components. Distributed simulation is widely recognized as an effective tool to carry out verification and validation activities for heterogeneous and complex systems. Unfortunately, the use of distributed simulation frameworks and rela...

Distributed Simulation (DS) is widely recognized to provide a valuable support for systems engineering efforts. Various contributions have addressed the adoption of model transformation approaches to enable a more effective DS use, with specific application to the HLA (High Level Architecture) DS standard and the generation of HLA simulation code f...

The increasing complexity of modern systems makes their design, development, and operation extremely challenging and therefore new systems engineering and modeling and simulation (M&S) methods, techniques, and tools are emer- ging, also to benefit from distributed simulation environments. In this context, one of the most mature and popular stan- da...

In modern Software Engineering, Continuous De- livery (CD) is a development approach in which a software is iteratively developed in short cycles ensuring, for each cycle, that the new features are available to end users as soon as they are implemented and tested. CD aims at defining, building and releasing software with greater speed and frequency...

Recently, due to the increasing complexity and wider adoption of heterogeneous Large-Scale systems and System-of-Systems (SoSs), the management of requirements, properties, emergent behaviors, and risks of integrations by coupling existing components, is becoming more and more challenging. To address this complexity, suitable Modeling and Simulatio...

An effective analysis of business processes (BPs) is crucial for modern organizations, which are required to promptly react to rapid market changes and evolving customer expectations. A suitable integration of standard BP management approaches and emerging technologies and methodologies, such as modeling and simulation (M&S), cloud computing and mi...

The design and development of modern Large- Scale systems and System-of-Systems (SoSs) requires the use of new Modeling and Simulation (M&S) methods, models and techniques so as to manage their ever-increasing complexity. In this context, distributed simulation (DS) can effectively support the analysis and design of these systems by enabling the ev...

The increasing complexity of modern Large-Scale systems and System-of-Systems (SoSs) makes their design and development extremely challenging. To face this difficulty new Modeling and Simulation techniques, methods, and tools are emerging and some of them take advantage of distributed simulation environments. In this context, the IEEE 1516-2010-Hig...

MSaaS (M&S as a Service) is gaining momentum as an effective approach to bring the benefits of service-oriented architectures and cloud computing into the M&S field, so as to enhance interoperability, composability, reusability and reduce the cost of M&S efforts. Such significant advantages can be further enhanced by introducing automated model tra...

Business Process Management (BPM) is an holistic approach for describing, analyzing, managing, improving and executing large enterprise business processes, which can be seen as a number of related tasks that have to be executed in order to reach well-defined objectives. This paper introduces an approach to the specification and management of the re...

The paper describes the project “Integrated technologies for fire monitoring and first alert” proposed by the authors to satisfy technical requirements of the Firefighter Bodies with particular attention to the monitoring of wood fires and release of chemical materials. The target system is composed of three sub-systems: sensors to detect target pa...

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)....

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...

The increasing complexity of modern systems makes their design, development and operation extremely challenging and therefore new Systems Engineering and Modeling and Simulation (M&S) techniques, methods and tools are emerging, also to benefit from distributed simulation environments. In this context, one of the most mature tools is the IEEE 1516-2...

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 a...

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...

Simulation is a key technique for enabling business process analysts to predict the process behavior at design time. However, some issues limit the effectiveness of business process simulation (e.g., lack of simulation know how, costs and difficulties for gathering process data, semantic gap between the business process model and the simulation mod...

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 t...

The development of complex systems requires the use of quantitative analysis techniques to allow a designtime evaluation of the system behavior. In this context, distributed simulation (DS) techniques can be effectively introduced to assess whether or not the system satisfies the user requirements. Unfortunately, the development of a DS requires th...