scholarly journals Using a semi-automated job-shop production system model to prepare students for the challenges of Industrial Cyber-Physical Systems

2019 ◽  
Vol 31 ◽  
pp. 377-383
Author(s):  
Agnes Pechmann ◽  
Jeffrey Wermann ◽  
Armando Walter Colombo ◽  
Maximilian Zarte
Keyword(s):  
Production System ◽  
Job Shop ◽  
Cyber Physical Systems ◽  
System Model ◽  
Physical Systems

Model Instantiations

2017 ◽  
pp. 72-101
Keyword(s):  
Cyber Physical Systems ◽  
Specific Model ◽  
The Body ◽  
System Model ◽  
Physical Systems ◽  
The Third ◽  
The Core ◽  
Multi Agent ◽  
Research Domains ◽  
Generic System

In three specific model instantiations, this chapter demonstrates how URANOS can be applied to other research domains. The first instantiation, referred to as the body-mind continuum, addresses humans as holistic and spiritual beings embedded in their natural, informational and socio-cultural environments. The second instantiation provides a framework for integral thinking and designing based on the AQAL-model from K. Wilber (2007). The third instantiation addresses holistic and cognitive coordination processes in the context of multi-agent and cyber-physical systems. These three instantiations together build the core of our human-centered modeling approach. Each of them holds our generic system model at its core, but at the same time has its own specific extensions.

Smart Joining/Smart Joining - Concept for Mechanical Joining 4.0

2016 ◽  
Vol 106 (10) ◽  
pp. 705-711
Author(s):  
M. Jäckel ◽  
T. Falk ◽  
T. Grimm ◽  
D. Prof. Landgrebe
Keyword(s):  
Boundary Conditions ◽  
Mathematical Models ◽  
Production System ◽  
Cyber Physical Systems ◽  
Tool Design ◽  
Mechanical Joining ◽  
Physical Systems ◽  
Various Boundary Conditions ◽  
New Approaches ◽  
Automotive Production

Der Fachbeitrag beschreibt Zusammenhänge zwischen verschiedenen – in einer Automobilproduktion relevanten – Randbedingungen und dem Fügeergebnis beim Halbhohlstanznieten in Form von mathematischen Modellen. Diese Modelle sowie neue Ansätze bei der Fügewerkzeuggestaltung bilden die Grundlage für die dargelegten Konzepte zur Weiterentwicklung der mechanischen Fügetechnik hin zu cyber-physischen Systemen, die mit anderen Prozessen in der Automobilproduktion vernetzt sind.   This article describes in mathematical models how various boundary conditions in an automotive production system and the joining result for self-pierce riveting are related. These models and new approaches in the joining tool design are the basis for the described concepts for developing mechanical joining techniques to enable cyber-physical systems linked to other processes in automobile production.

scholarly journals Smart search for optimal technological processes in cyber-physical systems

2018 ◽  
Vol 224 ◽  
pp. 02110
Author(s):  
Vasiliy Golovin
Keyword(s):  
Technological Process ◽  
Production System ◽  
Physical System ◽  
Industry 4.0 ◽  
Cyber Physical Systems ◽  
Additive Technologies ◽  
Cyber Physical System ◽  
Physical Systems ◽  
Technological Processes ◽  
Digital Production

Digital production dictates new approaches to the organization of technological processes, including the development of cyber-physical systems within the framework of Industry 4.0. The development of these systems involves the use of not only classical methods, but also additive technologies in production. The article deals with the concept of a smart production system to find the optimal technological process, which is based on the user defined constraints and expert data of the cloud cyber-physical system.

scholarly journals Case Study of Building a Digital Twin for a Production System

2021 ◽  
Vol 29 (49) ◽  
pp. 51-58
Author(s):  
Fedor Burčiar ◽  
Pavel Važan ◽  
Simona Pulišová
Keyword(s):  
Production System ◽  
Industry 4.0 ◽  
Production Systems ◽  
Simulation Models ◽  
Cyber Physical Systems ◽  
Production Data ◽  
Physical Systems ◽  
Production Processes ◽  
Gathering Data

Abstract As the term of Industry 4.0 becomes more and more relevant with each passing day, it is up to researchers and companies to find solutions to integrating all the technologies it covers. One of those technologies, even though not highly developed, is simulation and building Cyber-Physical Systems for gathering data and improving the production processes. In the research described in this paper, we focused on integrating production data with simulation models in order to make the process of understanding and learning about complex production systems as simple and as quick as possible. This paper contains three sections. The first one introduces the theoretical fundamentals of our research. The second one focuses on the methods used to create a digital model of production system. The final one discusses the results of the conducted experiments, and their impact on further research.

scholarly journals METHOD FOR 3D-ENVIRONMENT DRIVEN DOMAIN KNOWLEDGE ELICITATION AND SYSTEM MODEL GENERATION

2020 ◽  
Vol 1 ◽  
pp. 197-206
Author(s):  
S. Japs ◽  
L. Kaiser ◽  
A. Kharatyan
Keyword(s):  
Systems Engineering ◽  
Automotive Industry ◽  
Domain Knowledge ◽  
Cyber Physical Systems ◽  
System Model ◽  
Physical Systems ◽  
3D Environment ◽  
Close Cooperation ◽  
Model Based Systems Engineering ◽  
Domain Independent

AbstractThe development of cyber-physical systems requires close cooperation between stakeholders from different disciplines. Model-based systems engineering support this by the design of a system model. Non-identified domain knowledge by the stakeholders is a challenge when creating the system model. The CONSENS 3D-Modeling Method supports the domain-independent elicitation of domain knowledge using a 3D environment and enables the derivation of a SysML system model. We applyed the method by implementing a prototype, called 3D Engineer, to an application example from the automotive industry.

APPROACH FOR IDENTIFYING COMPONENTS WORTHY OF PROTECTION OF CYBER-PHYSICAL SYSTEMS (CPS) BASED ON A SYSTEM MODEL

2015 ◽  
Vol 76 (4) ◽  
Author(s):  
Daniel Kliewe ◽  
Lydia Kaiser ◽  
Roman Dumitrescu ◽  
Jürgen Gausemeier
Keyword(s):  
Systems Engineering ◽  
Cyber Physical Systems ◽  
System Model ◽  
Crucial Importance ◽  
Physical Systems ◽  
System Protection ◽  
Model Based ◽  
First Results ◽  
Model Based Systems Engineering

This paper will improve the system protection for Cyber-Physical Systems (CPS) by the use of the specification technique CONSENS. Therefore an approach is demonstrated and validated. The possibilities how the system protection can be integrated in Model-Based Systems Engineering (MBSE) and especially in CONSENS are shown and discussed. First results how the different views on the system can be used to identify components worth protecting of CPS are presented. The identified components are of crucial importance in order to ensure the protection of CPS.

scholarly journals Integrated Monitoring System of Production Processes

2016 ◽  
Vol 7 (4) ◽  
pp. 86-96 ◽  
Author(s):  
Przemysław Oborski
Keyword(s):  
Data Processing ◽  
Production Process ◽  
Monitoring System ◽  
Production System ◽  
Reference Model ◽  
Cyber Physical Systems ◽  
Future Application ◽  
Manufacturing Processes ◽  
Integrated Monitoring ◽  
Physical Systems

Abstract Integrated monitoring system for discrete manufacturing processes is presented in the paper. The multilayer hardware and software reference model was developed. Original research are an answer for industry needs of the integration of information flow in production process. Reference model corresponds with proposed data model based on multilayer data tree allowing to describe orders, products, processes and save monitoring data. Elaborated models were implemented in the integrated monitoring system demonstrator developed in the project. It was built on the base of multiagent technology to assure high flexibility and openness on applying intelligent algorithms for data processing. Currently on the base of achieved experience an application integrated monitoring system for real production system is developed. In the article the main problems of monitoring integration are presented, including specificity of discrete production, data processing and future application of Cyber-Physical-Systems. Development of manufacturing systems is based more and more on taking an advantage of applying intelligent solutions into machine and production process control and monitoring. Connection of technical systems, machine tools and manufacturing processes monitoring with advanced information processing seems to be one of the most important areas of near future development. It will play important role in efficient operation and competitiveness of the whole production system. It is also important area of applying in the future Cyber-Physical-Systems that can radically improve functionally of monitoring systems and reduce the cost of its implementation.

Emerging Cyber-Physical Systems : An Overview

2018 ◽  
pp. 306-316
Author(s):  
Okolie S.O. ◽  
Kuyoro S.O. ◽  
Ohwo O. B
Keyword(s):  
Health Care ◽  
Economic Benefit ◽  
Physical World ◽  
Cyber Physical Systems ◽  
Cyber Physical System ◽  
Economic Sectors ◽  
Strategic Research ◽  
Physical Systems ◽  
Security Issues ◽  
Wide Range

Cyber-Physical Systems (CPS) will revolutionize how humans relate with the physical world around us. Many grand challenges await the economically vital domains of transportation, health-care, manufacturing, agriculture, energy, defence, aerospace and buildings. Exploration of these potentialities around space and time would create applications which would affect societal and economic benefit. This paper looks into the concept of emerging Cyber-Physical system, applications and security issues in sustaining development in various economic sectors; outlining a set of strategic Research and Development opportunities that should be accosted, so as to allow upgraded CPS to attain their potential and provide a wide range of societal advantages in the future.

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