SLMToolBox: An Implementation of MDSEA for Servitisation and Enterprise Interoperability

Bazoun, Hassan; Zacharewicz, Grégory; Ducq, Yves; Boyé, Hadrien

doi:10.1007/978-3-319-04948-9_9

Cited by 13 publications

(15 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As an historical perspective, to operationalize the models from BSM to TSM [50], the work in Reference [60] proposed the frame of the EU FP7 Research Project MSEE "Manufacturing Service Ecosystem" ID 284860 (http://www.msee-ip.eu/). The authors of References [50] introduced the implementation of the SLMToolBox that is a service graphical modeler, model transformer, and simulation engine. Since then, SLMToolBox has been improved and renamed MSTB.…”

Section: Implementing Mdise Framework and Methods In Mstb Evolvedmentioning

confidence: 99%

“…Model-Driven Service Engineering Architecture, generalized and renamed as Model-Driven System Engineering Architecture (MDSEA) [50] (see Figure 11), is a recent engineering architecture proposed in the "servitization" domain and generalized in all kinds of production domains, such as the modeling context-based on Model Driven Interoperability (MDI) [25]. This architecture was developed in the MSEE project [51] (MSEE book, 2014) and used in the EC project BeinCPPS (www.beincpps.eu).…”

Section: Model Driven System Engineering Application (Mdsea)mentioning

confidence: 99%

“…EA*, introduced in Section 1.3, and were chosen to model processes at the BSM level due to its independence regarding IT consideration, its hierarchical decomposition, and the fact that it can easily model three supported resources: material, human and IT. It was developed as an answer to previous issues encountered with other enterprise modeling languages regarding its capacity to represent interoperability [50]. However, EA* is chosen to capture business process models at a high semantic level, independently from any technological or detailed specifications in MDISE.…”

Section: Using Grai Grid and Extended Actigram* At Top Bsmmentioning

confidence: 99%

See 2 more Smart Citations

Model Driven Interoperability for System Engineering

et al. 2020

Self Cite

View full text Add to dashboard Cite

To keep up to date, manufacturing enterprises need to use the latest results from the ICT sector, especially when collaborating with external partners in a supply chain and exchanging products and data. This has led to dealing with an increasing amount of heterogeneous information exchanged between partners including machines (physical means), humans and IT in the Supply Chain of ICT Systems (SC-ICTS). In this context, interoperability management is becoming more and more critical, but paradoxically, it is not yet fully efficiently anticipated, controlled and accompanied to recover from incompatibilities issues or failures. This paper intends to present how enterprise modeling, enterprise interoperability and model driven approaches can lead, together with system engineering architecture, to contribute to developing and improving the interoperability in the SC-ICTs. Model Driven System Engineering Architecture (MDSEA) is based on Enterprise Modeling using GRAI Model and its extensions. It gives enterprise internal developments guidelines, but originally, MDSEA is not the considering interoperability that is required between partners when setting a collaboration in the frame of SC-ICTS. As a result, the MDSEA, extended with interoperability concerns, led to the design of the MDISE (Model Driven Interoperability System Engineering) framework, which capitalizes on the research on enterprise interoperability. To finish, some proposals are made to extend the Model System Tool Box (MSTB) and the use of MDISE for Cyber Physical System (CPS) that are relevant components of SC-ICTS.

show abstract

Section: Implementing Mdise Framework and Methods In Mstb Evolvedmentioning

confidence: 99%

Section: Model Driven System Engineering Application (Mdsea)mentioning

confidence: 99%

Section: Using Grai Grid and Extended Actigram* At Top Bsmmentioning

confidence: 99%

See 1 more Smart Citation

Model Driven Interoperability for System Engineering

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…This research converts the BPMN into executable code. Bazoun et al [16] presented a tool called "SLMToolBOX". This developed tool is a graphical modeler, a model transformer, and a simulation engine capable of converting a BPMN diagram into DEVS models to simulate the behavior of a process.…”

Section: Literature Reviewmentioning

confidence: 99%

Business Models for Distributed-Simulation Orchestration and Risk Management

et al. 2021

Self Cite

View full text Add to dashboard Cite

Nowadays, industries are implementing heterogeneous systems from different domains, backgrounds, and operating systems. Manufacturing systems are becoming more and more complex, which forces engineers to manage the complexity in several aspects. Technical complexities bring interoperability, risk management, and hazards issues that must be taken into consideration, from the business model design to the technical implementation. To solve the complexities and the incompatibilities between heterogeneous components, several distributed and cosimulation standards and tools can be used for data exchange and interconnection. High-level architecture (HLA) and functional mockup interface (FMI) are the main international standards used for distributed and cosimulation. HLA is mainly used in academic and defense domains while FMI is mostly used in industry. In this article, we propose an HLA/FMI implementation with a connection to an external business process-modeling tool called Papyrus. Papyrus is configured as a master federate that orchestrates the subsimulations based on the above standards. The developed framework is integrated with external heterogeneous components through an FMI interface. This framework is developed with the aim of bringing interoperability to a system used in a power generation company.

show abstract

“…The model transformation applied to the security management is described in detail in the previous work published by the authors in [26]. The business processes are firstly designed with the Extended Diagram Star (

E A^{*}

) technology in the SLMToolBox [31]. This diagram instantiates the Business Services Model (BSM) of the MDSEA methodology and allows one to represent the regular activities flow of a specific company or network that wishes to apply the cybersecurity framework.…”

Section: Proposed Cybersecurity Frameworkmentioning

confidence: 99%

An Ontology-Based Cybersecurity Framework for the Internet of Things

Mozzaquatro

Agostinho

Gonçalves

et al. 2018

Sensors

View full text Add to dashboard Cite

The use of sensors and actuators as a form of controlling cyber-physical systems in resource networks has been integrated and referred to as the Internet of Things (IoT). However, the connectivity of many stand-alone IoT systems through the Internet introduces numerous cybersecurity challenges as sensitive information is prone to be exposed to malicious users. This paper focuses on the improvement of IoT cybersecurity from an ontological analysis, proposing appropriate security services adapted to the threats. The authors propose an ontology-based cybersecurity framework using knowledge reasoning for IoT, composed of two approaches: (1) design time, which provides a dynamic method to build security services through the application of a model-driven methodology considering the existing enterprise processes; and (2) run time, which involves monitoring the IoT environment, classifying threats and vulnerabilities, and actuating in the environment ensuring the correct adaptation of the existing services. Two validation approaches demonstrate the feasibility of our concept. This entails an ontology assessment and a case study with an industrial implementation.

show abstract

SLMToolBox: An Implementation of MDSEA for Servitisation and Enterprise Interoperability

Cited by 13 publications

References 8 publications

Model Driven Interoperability for System Engineering

Model Driven Interoperability for System Engineering

Business Models for Distributed-Simulation Orchestration and Risk Management

An Ontology-Based Cybersecurity Framework for the Internet of Things

Contact Info

Product

Resources

About