scholarly journals Alignment of safety and security risk assessments for modular production systems

2021 ◽  
Author(s):  
Marco Ehrlich ◽  
Andre Bröring ◽  
Dimitri Harder ◽  
Torben Auhagen-Meyer ◽  
Philip Kleen ◽  
...  
Keyword(s):  
Manufacturing Systems ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Risk Assessments ◽  
Security Risk ◽  
Industrial Systems ◽  
Modular Systems ◽  
Information Models ◽  
Modular Production ◽  
Normative Requirements

AbstractIn order to ensure the safety and security of industrial systems with regard to all life cycle phases from development through operation to disposal, specific regulatory and normative requirements are imposed. Due to the digitalization, interconnection, and constantly increasing complexity of manufacturing systems in the context of Industrie 4.0, the manual effort necessary to achieve the required safety and security is becoming ever greater and almost impossible to manage, especially for small and medium-sized enterprises. Therefore, this paper examines the existing challenges in this area in more detail and gives an outlook on the possible solutions to ensure safety and security much quicker and with less manual effort. The overall vision is a (partially) automated risk assessment of modular systems with respect to safety and security, including the alignment of the corresponding processes from both domains and the formalization of the information models needed.

Modulare Fertigungslinien für die individualisierte Produktion/Modular manufacturing systems for individualized production - Improving flexibility through business process modelling

2016 ◽  
Vol 106 (04) ◽  
pp. 204-210
Author(s):  
S. Wrede ◽  
M. Wojtynek ◽  
J. Prof. Steil ◽  
O. Beyer ◽  
C. Frobieter ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Leading Edge ◽  
Industrie 4.0 ◽  
Process Models ◽  
Modular System ◽  
Lot Size ◽  
Business Process Modelling ◽  
Individualized Production ◽  
Modular Production

Der Beitrag beschreibt ein Hard- und Softwarekonzept für vernetzte Fertigungsmodule. Eine modulare Systemarchitektur sowie die dezentrale Steuerung durch Prozessmodelle auf Basis von BPMN2 erlauben eine kundenspezifische Produktion bis hin zu Losgröße eins. Anhand eines vertikal in die Unternehmens-IT integrierten Demonstrators wurden die Vorteile als Showcase für Industrie 4.0 auf verschiedenen Fachmessen erlebbar. Der innovative Ansatz wurde im Verbundprojekt itsowl-FlexiMon im Rahmen des BMBF Spitzenclusters „Intelligente Technische Systeme OstWestfalenLippe“ (it’s OWL) entwickelt.   This contribution describes a distributed modular production system for individualized production. A modular system architecture and semi-autonomous cell control based on executable process models with BPMN2 are used to realize a customer specific production down to lot size one. The advantages have become tangible through a vertically integrated demonstrator that has been exhibited at different fares and showcases the progress towards Industry 4.0. The overall approach was developed in the project itsowl-FlexiMon in the framework of the BMBF leading edge cluster „Intelligent Technical Systems OWL“ (it’s OWL).

Simulation-Based Manufacturing Interoperability Standards and Testing

2009 ◽  
Vol 407-408 ◽  
pp. 283-286 ◽  
Author(s):  
Guo Dong Shao ◽  
Swee Leong ◽  
Charles McLean
Keyword(s):  
Manufacturing Systems ◽  
Production Systems ◽  
Industrial Systems ◽  
Software Applications ◽  
Interoperability Test ◽  
Simulation Based ◽  
Operational Systems ◽  
Technical Issues ◽  
Manufacturing Software ◽  
Productivity And Competitiveness

Software applications for manufacturing systems developed using software from different vendors typically cannot work together. Develop¬ment of custom integrations of manufacturing software incurs costs and delays that hurt industry productivity and competitiveness. Software applications need to be tested in live operational systems. It is impractical to use real industrial systems to support dynamic interoperability test¬ing and research due to: 1) access issues - manu¬facturing facilities are not open to outsiders, as proprietary data and processes may be compro¬mised; 2) technical issues - operational systems are not instrumented to support testing; and 3) cost issues - productivity suffers when actual production systems are taken offline to allow testing. Publicly available simulations do not exist to demonstrate simulation integration issues, validate potential standards solu¬tions, or dynamically test the interoperability of simulation systems and other software applica¬tions. A new, dynamic, simulation-based interoperability testing facility for manufacturing software applications is being developed at the National Institute of Standards and Technology (NIST).

scholarly journals Social Dimensions in CPS & IoT Based Automated Production Systems

Societies ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 98
Author(s):  
Hind Bril El-Haouzi ◽  
Etienne Valette ◽  
Bettina-Johanna Krings ◽  
António Brandão Moniz
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Intelligent Manufacturing ◽  
Social Dimensions ◽  
Industrial Systems ◽  
Automated Production ◽  
Research Fields ◽  
Human Operators ◽  
Conceptual Evolution

Since the 1970s, the application of microprocessor in industrial machinery and the development of computer systems have transformed the manufacturing landscape. The rapid integration and automation of production systems have outpaced the development of suitable human design criteria, creating a deepening gap between humans and systems in which human was seen as an important source of errors and disruptions. Today, the situation seems different: the scientific and public debate about the concept of Industry 4.0 has raised awareness about the central role humans have to play in manufacturing systems, the design of which must be considered from the very beginning. The future of industrial systems, as represented by Industry 4.0, will rely on the convergence of several research fields such as Intelligent Manufacturing Systems (IMS), Cyber-Physical Systems (CPS), Internet of Things (IoT), but also socio-technical fields such as social approaches within technical systems. This article deals with different human social dimensions associated with CPS and IoT and focuses on their conceptual evolution regarding automated production systems’ sociability, notably by bringing humans back in the loop. Hereby, this paper aims to take stock of current research trends to show the importance of integrating human operators as a part of a socio-technical system based autonomous and intelligent products or resources. Consequently, different models of sociability as a way to integrate humans in the broad sense and/or the develop future automated production systems have been identified from the literature and analysed.

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

scholarly journals Robust scheduling and dispatching rules for high-mix collaborative manufacturing systems

2021 ◽  
Author(s):  
Andrea Maria Zanchettin
Keyword(s):  
Manufacturing Systems ◽  
Production Systems ◽  
Adaptive Scheduling ◽  
Dispatching Rules ◽  
Numerical Verification ◽  
Robust Scheduling ◽  
Collaborative Manufacturing ◽  
Processing Times ◽  
Increasing Demand ◽  
Variable Production

AbstractMotivated by the increasing demand of mass customisation in production systems, this paper proposes a robust and adaptive scheduling and dispatching method for high-mix human-robot collaborative manufacturing facilities. Scheduling and dispatching rules are derived to optimally track the desired production within the mix, while handling uncertainty in job processing times. The sequencing policy is dynamically adjusted by online forecasting the throughput of the facility as a function of the scheduling and dispatching rules. Numerical verification experiments confirm the possibility to accurately track highly variable production requests, despite the uncertainty of the system.

Augmented Reality in der Produktion*/Augmented Reality in production systems – seeing things nobody else can see

2019 ◽  
Vol 109 (03) ◽  
pp. 153-157
Author(s):  
J. Gutjahr ◽  
G. Riexinger ◽  
F. Strieg
Keyword(s):  
Augmented Reality ◽  
Production Planning ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Production Operation ◽  
Production Environment ◽  
Research Activities ◽  
Fraunhofer Institute ◽  
Manufacturing Engineering ◽  
Planning Production

Das Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA in Stuttgart entwickelt Augmented-Reality-Lösungen für das Produktionsumfeld. Die in diesem Beitrag vorgestellten Arbeiten und Anwendungen sind im „Applikationszentrum Industrie 4.0“ Teil der Showcases Mensch und IT. Abteilungsübergreifend wurden verschiedene Anwendungsbereiche für Augmented Reality in der Produktion erforscht und anwendungsnahe Lösungen entwickelt. Ausgewählte Arbeiten werden im Beitrag getrennt nach den Themenbereichen Produktionsplanung, Produktionsbetrieb, Instandhaltung sowie Montage vorgestellt.   The Fraunhofer Institute for Manufacturing Engineering and Automation IPA in Stuttgart develops augmented reality solutions for the production environment. This article presents research activities and applications that are part of human and IT showcases within the “Application Center Industrie 4.0”. Different areas of application for Augmented Reality in production have been evaluated and application-driven solutions developed. The article presents selected findings in the fields of production planning, production operation, maintenance and assembly.

Reale Daten für Simulationen im digitalen Zwilling*/Real data for simulation in the digital twin -Study on how to record Profinet data and reproduce them in complex simulation environments

2019 ◽  
Vol 109 (09) ◽  
pp. 662-666
Author(s):  
M. Chemnitz ◽  
O. Heimann ◽  
A. Vick
Keyword(s):  
Twin Study ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Real Data ◽  
Control Data ◽  
Cause Analysis ◽  
Digital Twin ◽  
Root Cause ◽  
Complex Simulation ◽  
Complex Manufacturing Systems

Die hohen Anforderungen an moderne Fertigungssysteme erfordern leistungsfähige Engineering-Lösungen. Wie man die Identifikation von Fehlerursachen in komplexen Anlagen erleichtert, wurde in einer Machbarkeitsstudie des Fraunhofer IPK im Auftrag von Siemens DI FA untersucht. In der vorgestellten Lösung werden die Daten der Anlage auf Feldbusebene erfasst und in den digitalen Zwilling eingespeist. So kann das Verhalten der Komponenten taktgenau nachvollzogen werden. Dies elaubt einen tiefen Einblick in das System und unterstützt so bei der Fehlerbehebung.   Powerful engineering tools are required to keep modern production systems manageable. Siemens DI FA and the Fraunhofer IPK present a novel tool for root cause analysis within complex manufacturing systems. The solution combines a CAx plant model with control data recorded from the field bus. This creates a comprehensive digital twin, allowing to analyse past machine behavior with bus clock resolution.

Concept to Support the Flexibility of Manufacturing System through Reconfigurable Structure Based on Modular Design

2015 ◽  
Vol 816 ◽  
pp. 536-546
Author(s):  
Vladimír Rudy ◽  
Andrea Lešková
Keyword(s):  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Structural Changes ◽  
Modular Design ◽  
Production Systems ◽  
Low Cost ◽  
Modular Construction ◽  
Production Platform ◽  
Flexible Adaptation ◽  
Reconfigurable Structure

This article deals about the challenges of structural changes in manufacturing conditions. The objective of this paper is to present the modular workstations concept based on miniaturization and re-configurability trends. The article is aimed at problems of designing of production systems with a modular construction structure. The modular structure allows an individual and flexible adaptation to varying requirements but also the realization of low-cost solutions for creation of new or modernized production base. The goal is to present the example of modular workstations solutions that correspond with new designing approach. The specification of basics principles, which should help to designing flexible manufacturing systems, discussed in this paper are: modularity; integrability; convertibility; diagnosability; customization. The theoretical part provides an overview of fundamental design principles in manufacturing structures. In the first part of this article are discussed the specification of basic flexibility types in production system and the main impacts influencing design of manufacturing structures. The closing section of the article provides the specification of example solution of adjustable production platform with modular frame (called desktop factory).

Beyond Traceability: Compared Approaches to Consistent Security Risk Assessments

2013 ◽  
Author(s):  
Franco Bergomi ◽  
Stephane Paul ◽  
Bjornar Solhaug ◽  
Raphael Vignon-Davillier
Keyword(s):  
Risk Assessments ◽  
Security Risk
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