scholarly journals A Multicomponent Distributed Framework for Smart Production System Modeling and Simulation

2020 ◽  
Vol 12 (17) ◽  
pp. 6969
Author(s):  
Simon Gorecki ◽  
Jalal Possik ◽  
Gregory Zacharewicz ◽  
Yves Ducq ◽  
Nicolas Perry
Keyword(s):  
Modeling And Simulation ◽  
Manufacturing Systems ◽  
Business Models ◽  
Distributed Simulation ◽  
System Modeling ◽  
Smart Manufacturing ◽  
Distributed Modeling ◽  
Simulation Techniques ◽  
Distributed Framework ◽  
And Performance

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.

scholarly journals Smart Manufacturing Systems and Applied Industrial Technologies for a Sustainable Industry: A Systematic Literature Review

2020 ◽  
Vol 10 (8) ◽  
pp. 2897
Author(s):  
Raffaele Cioffi ◽  
Marta Travaglioni ◽  
Giuseppina Piscitelli ◽  
Antonella Petrillo ◽  
Adele Parmentola
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Circular Economy ◽  
Manufacturing Systems ◽  
Business Models ◽  
New Technologies ◽  
Smart Manufacturing ◽  
Smart Devices ◽  
Digital Innovation ◽  
Smart Manufacturing Systems

Smart manufacturing is considered as a new paradigm that makes work smarter and more connected, bringing speed and flexibility through the introduction of digital innovation. Today, digital innovation is closely linked to the “sustainability” of companies. Digital innovation and sustainability are two inseparable principles that are based on the concept of circular economy. Digital innovation enables a circular economy model, promoting the use of solutions like digital platforms, smart devices, and artificial intelligence that help to optimize resources. Thus, the purpose of the research is to present a systematic literature review on what enabling technologies can promote new circular business models. A total of 31 articles were included in the study. Our results showed that realization of the circular economy involved two main changes: (i) managerial changes and (ii) legislative changes. Furthermore, the creation of the circular economy can certainly be facilitated by innovation, especially through the introduction of new technologies and through the introduction of digital innovations.

Study on Meta-Modeling Method for Performance Analysis of Digital Power Plant

2019 ◽  
Vol 142 (4) ◽  
Author(s):  
Dengji Zhou ◽  
Tingting Wei ◽  
Shixi Ma ◽  
Huisheng Zhang ◽  
Di Huang ◽  
...  
Keyword(s):  
Power Plant ◽  
Performance Analysis ◽  
Modeling And Simulation ◽  
Power Plants ◽  
System Modeling ◽  
Modeling Method ◽  
Simulation Platform ◽  
Meta Modeling ◽  
And Performance ◽  
Whole Life Cycle

Abstract Digital power plant is the theory and method to improve the operating quality of power plant by quantifying, analyzing, controlling, and deciding the physical and working objects of power plants in the whole life cycle. And the foundation of digital power plant is system modeling and performance analysis. However, there are some problems in the process of modeling establishment and performance analysis. For instance, each component has different dimensions and different types of mathematical description, and the data or information used for modeling are defined differently and belong to different enterprises, who do not want to share their information. Meta-modeling is a potential method to solve these problems. It defines the specification to describe different kinds of elements and the relationship between different elements. In this paper, the collaborative modeling and simulation platform for digital power plant has been established based on the meta-modeling method and the performance of the target power plant has been analyzed from different aspects via field data. The meta-modeling method consists of three parts: syntax definition, model development, and algorithm definition. In the comparative study between the meta-model and the traditional model, maximum average errors of the two methods are 8.72% and 4.74%, which reveals the high accuracy of the meta-modeling-based model. The result shows that the modeling and simulation platform for power plants can be used to reduce costs, decrease equipment failure rate, and improve plant output, so as to guarantee the safety and increase economics.

A model-driven approach to enable the simulation of complex systems on distributed architectures

SIMULATION ◽  
2019 ◽  
Vol 95 (12) ◽  
pp. 1185-1211 ◽  
Author(s):  
Paolo Bocciarelli ◽  
Andrea D’Ambrogio ◽  
Alberto Falcone ◽  
Alfredo Garro ◽  
Andrea Giglio
Keyword(s):  
Modeling And Simulation ◽  
Systems Engineering ◽  
Distributed Simulation ◽  
System Modeling ◽  
Modeling Language ◽  
Design Development ◽  
Simulation Code ◽  
Model Driven ◽  
Final Code ◽  
High Level

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 emerging, also to benefit from distributed simulation environments. In this context, one of the most mature and popular standards for distributed simulation is the IEEE 1516-2010 - Standard for M&S high level architecture (HLA). However, building and maintaining distributed simulations components, based on the IEEE 1516-2010 standard, is still a challenging and effort-consuming task. To ease the development of full-fledged HLA-based simulations, the paper proposes the MONADS method (MOdel-driveN Architecture for Distributed Simulation), which relies on the model-driven systems engineering paradigm. The method takes as input system models specified in Systems Modeling Language, the reference modeling language in the systems engineering field, and produces as output the final code of the corresponding HLA-based distributed simulation through a chain of model-to-model and model-to-text transformations. The obtained simulation code is based on the HLA Development Kit software framework, which has been developed by the SMASH-Lab (System Modeling and Simulation Hub - Laboratory) of the University of Calabria (Italy), in cooperation with the Software, Robotics, and Simulation Division (ER) of NASA’s Lyndon B. Johnson Space Center (JSC) in Houston (TX, USA). The effectiveness of the method is shown through a case study that concerns a military patrol operation, in which a set of drones are engaged to patrol the border of a military area, in order to prevent both ground and flight attacks from entering the area.

scholarly journals Manufacturing System Modeling and Performance Analysis of Mineral Water Production Line using ARENA Simulation

2020 ◽  
Vol 9 (5) ◽  
pp. 312-317
Keyword(s):  
Performance Analysis ◽  
Production Line ◽  
Manufacturing Systems ◽  
Mineral Water ◽  
System Modeling ◽  
Simulation Software ◽  
Cycle Times ◽  
Bottle Production ◽  
Arena Simulation ◽  
And Performance

Today’s scenario all manufacturing organizations are moving rapidly to adopt new process modeling, performance analysis through simulation, in order to design a new costeffective system. Organizations made several changes in their manufacturing systems to increase profit and to sustain their significance in global markets. Simulation modeling is a well accepted technique for improving process performance. In this study, the mineral water company operates the production line with less throughput, long cycle times, frequent machine failures and insufficient utilization of its resources. A simulation model is developed for the successful bottling and packaging of the production line by using Arena simulation software. The model is developed for AMWSC packaging process for returnable glass bottle Production Line. This model eliminates the bottlenecks in production line and provides optimal performance. By applying Effective Preventive Maintenance Strategy, the production line throughput is increased from 21.12% to 54.03% and the cycle time is reduced by 33.33%.

scholarly journals Business Models for Distributed-Simulation Orchestration and Risk Management

Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 71
Author(s):  
Simon Gorecki ◽  
Jalal Possik ◽  
Gregory Zacharewicz ◽  
Yves Ducq ◽  
Nicolas Perry
Keyword(s):  
Risk Management ◽  
Data Exchange ◽  
Manufacturing Systems ◽  
Business Models ◽  
Distributed Simulation ◽  
Heterogeneous Systems ◽  
International Standards ◽  
High Level Architecture ◽  
Generation Company ◽  
High Level

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.

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