Distributed simulation approach for enabling cooperation between entities in heterarchical manufacturing systems

1995 ◽  
Author(s):  
Vittaldas V. Prabhu ◽  
Neil A. Duffie
Keyword(s):  
Manufacturing Systems ◽  
Distributed Simulation ◽  
Simulation Approach

A Distributed Simulation Approach for Modeling and Analyzing Systems of Systems

2006 ◽  
Author(s):  
Abeer Sharawi ◽  
Serge Sala-diakanda ◽  
Adam Dalton ◽  
Sergio Quijada ◽  
Nabeel Yousef ◽  
...  
Keyword(s):  
Distributed Simulation ◽  
Simulation Approach ◽  
Systems Of Systems

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.

A Basic Study on a Highly Distributed Simulation of Manufacturing Systems Under the Ubiquitous Environment

2012 ◽  
Author(s):  
Susumu Fujii ◽  
Nobutada Fujii ◽  
Akira Tsumaya ◽  
Koji Iwamura ◽  
Eiji Morinaga ◽  
...  
Keyword(s):  
Simulation Model ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Distributed Simulation ◽  
Discrete Event ◽  
Basic Study ◽  
Ubiquitous Environment ◽  
Simulation Paradigm ◽  
Simulation Functions ◽  
Intelligent Devices

This study reports a new simulation paradigm devised to simulate manufacturing systems in its real operational stage. The objective manufacturing system is supposed to be under ubiquitous environment; in other words, all machines and equipments constituting a real manufacturing system are all equipped with intelligent devices and are connected to an information network. In the framework of the proposed simulation method, the simulation model is not built on one computer as is done in the conventional simulation, but is built on the network by integrating the intelligent devices. Each devise with properly embedded simulation functions plays as a simulation agent representing a resource or an entity in the conventional simulation model. This paper discusses the simulation functions required to each device to form a discrete event simulation system. The time management of the simulation and the event processes in the new simulation paradigm are described.

scholarly journals Energy–Economy Coupled Simulation Approach and Simulator Based on Invididual-Based Model

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2771
Author(s):  
Jisong Zhu ◽  
Zhaoxia Jing ◽  
Tianyao Ji ◽  
Nauman Ali Larik
Keyword(s):  
Modeling And Simulation ◽  
Distributed Simulation ◽  
Simulation Method ◽  
Energy System ◽  
Simulation Approach ◽  
Individual Based Model ◽  
Multi Scale ◽  
Integrated Energy System ◽  
Energy Economy ◽  
The Individual

An integrated energy system, referred to specifically as a heterogeneous energy system that combines cooling, heating, power, etc., is a dynamic system containing continuous as well as discrete behaviors on both technical and economic levels. Currently, the comprehensive utilization of multiple forms of energy and the implementation of the energy market have made the simulation of such a system very complicated, which is reflected in two aspects. First, the simulation model becomes complex and varied. Second, the time-varying characteristics of the models are quite diverse. Therefore, a standard and normative modeling and simulation method is urgently needed. This work aims to obtain a compatible modeling and simulation method for the energy economy coupling system. The individual-based model is widely used to describe organisms in an ecology system that are similar to the energy–economy coupled system. Inspired by this, a general simulation approach based on the individual-based model is proposed in this paper to overcome these existing problems. The standard formal expression model is built, then its structure and elements explained in detail, and multi-scale time simulation supported to model and simulate an integrated energy system that is coupled with markets. In addition, a simulator is designed and implemented based on multi-agent framework and model-view-controller architecture. Finally, a simulation case of a conceived scenario was designed and executed, and the results analysis proved the validity and versatility of the proposed approach. The proposed method has the advantages of model standardization, multi-scale time compatibility, distributed simulation capability, and privacy protection. These advantages support and strengthen each other. Through these studies, a systematic approach was formed that could improve the standardization of modeling and simulation in the energy–economy research area.

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