A Multicomponent Distributed Framework for Smart Production System Modeling and Simulation

Abstract

In order to control manufacturing systems, managers need risk and performance evaluation methods and simulation tools. However, these simulation techniques must evolve towards being multiperformance, multiactor, and multisimulation tools, and this requires interoperability between those distributed components. This paper presents an integrated platform that brings interoperability to several simulation components. This work expands the process modeling tool Papyrus to allow it to communicate with external components through both distributed simulation and cosimulation standards. The distributed modeling and simulation framework (DMSF) platform takes its environment into consideration in order to evaluate the sustainability of the system while integrating external heterogeneous components. For instance, a DMSF connection with external IoT devices has been implemented. Moreover, the orchestration of different smart manufacturing components and services is achieved through configurable business models. As a result, an automotive industry case study has successfully been tested to demonstrate the sustainability of smart supply chains and manufacturing factories, allowing better connectivity with their real environments.

Process modeling for smart factories: using science mapping to understand the strategic themes, main challenges and future trends

“…To overcome the challenges, several authors address the role of process modeling in the context of the Fourth Industrial Revolution and emphasize the need to develop more robust, complete and flexible modeling languages that meet the dynamism of I4.0 (Seiger et al , 2015). Other authors have created extensions of current languages to model processes that use emerging technologies (Cheng et al , 2019) or have complemented process modeling with computer simulation (Gorecki et al , 2020; Mass et al , 2020).…”

Lean techniques impact evaluation methodology based on a co-simulation framework for manufacturing systems

“…The simulation system must be disassembled into subsystems or nodes in order to be parallelized or distributed on a multiprocessing environment for performance enhancements (Lopez-Novoa, Mendiburu, and Miguel-Alonso 2014). In other cases, a collection of interacting simulations is needed to form a more complex system that offers other functionalities in addition to existing ones (Gorecki et al 2020). There are also scenarios where users need to compare many different DES.…”

A Model Based Systems Engineering Approach to Automated Music Arrangement

“…For this purpose, we use Papyrus (Guermazi et al 2015) , an open-source project, providing an integrated environment for editing and executing processes through Unified Modeling Language (UML) and Foundational Subset for Executable UML Models (fUML). The tool offers many interconnection capabilities with complex and heterogeneous systems (Gorecki et al 2020;. Papyrus supports UML profiling mechanisms allowing one to extend metaclasses of existing UML metamodels by using stereotypes, so to create a so-called UML profile, and to define a custom behavior at the simulation time using the fUML execution engine (Moka).…”