scholarly journals Agents enabling cyber-physical production systems

2015 ◽  
Vol 63 (10) ◽  
Author(s):  
Birgit Vogel-Heuser ◽  
Jay Lee ◽  
Paulo Leitão
Keyword(s):  
Industrial Production ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Enabling Technology ◽  
Research Issues ◽  
Agent Based ◽  
Open Research ◽  
Exchange Information ◽  
Future Challenges ◽  
Cyber Physical Production Systems

AbstractIn order to be prepared for future challenges facing the industrial production domain, Cyber-Physical Production Systems (CPPS) consisting of intelligent entities which collaborate and exchange information globally are being proclaimed recently as part of Industrie 4.0. In this article the requirements of CPPS and abilities of agents as enabling technology are discussed. The applicability of agents for realizing CPPS is exemplarily shown based on three selected use cases with different requirements regarding real-time and dependability. The paper finally concludes with opportunities and open research issues that need to be faced in order to achieve agent-based CPPSs.

Integration of Cutting-Edge Interoperability Approaches in Cyber-Physical Production Systems and Industry 4.0

2021 ◽  
pp. 144-172
Author(s):  
Luis Alberto Estrada-Jimenez ◽  
Terrin Pulikottil ◽  
Nguyen Ngoc Hien ◽  
Agajan Torayev ◽  
Hamood Ur Rehman ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Production Systems ◽  
Heterogeneous Systems ◽  
Smart Manufacturing ◽  
Use Case ◽  
Integrative Framework ◽  
Data Formats ◽  
Exchange Information ◽  
Cyber Physical Production Systems ◽  
Physical Components

Interoperability in smart manufacturing refers to how interconnected cyber-physical components exchange information and interact. This is still an exploratory topic, and despite the increasing number of applications, many challenges remain open. This chapter presents an integrative framework to understand common practices, concepts, and technologies used in trending research to achieve interoperability in production systems. The chapter starts with the question of what interoperability is and provides an alternative answer based on influential works in the field, followed by the presentation of important reference models and their relation to smart manufacturing. It continues by discussing different types of interoperability, data formats, and common ontologies necessary for the integration of heterogeneous systems and the contribution of emerging technologies in achieving interoperability. This chapter ends with a discussion of a recent use case and final remarks.

scholarly journals Towards trustworthy Cyber-physical Production Systems: A dynamic agent accountability approach

2021 ◽  
Vol 13 (2) ◽  
pp. 157-180
Author(s):  
Richárd Beregi ◽  
Gianfranco Pedone ◽  
Davy Preuveneers
Keyword(s):  
Production Systems ◽  
Smart Manufacturing ◽  
Use Case ◽  
Multi Agent Systems ◽  
Hand Tools ◽  
Agent Based ◽  
Agent Systems ◽  
Multi Agent ◽  
Cyber Physical Production Systems ◽  
Dynamic Authorization

Smart manufacturing is a challenging trend being fostered by the Industry 4.0 paradigm. In this scenario Multi-Agent Systems (MAS) are particularly elected for modeling such types of intelligent, decentralised processes, thanks to their autonomy in pursuing collective and cooperative goals. From a human perspective, however, increasing the confidence in trustworthiness of MAS based Cyber-physical Production Systems (CPPS) remains a significant challenge. Manufacturing services must comply with strong requirements in terms of reliability, robustness and latency, and solution providers are expected to ensure that agents will operate within certain boundaries of the production, and mitigate unattended behaviours during the execution of manufacturing activities. To address this concern, a Manufacturing Agent Accountability Framework is proposed, a dynamic authorization framework that defines and enforces boundaries in which agents are freely permitted to exploit their intelligence to reach individual and collective objectives. The expected behaviour of agents is to adhere to CPPS workflows which implicitly define acceptable regions of behaviours and production feasibility. Core contributions of the proposed framework are: a manufacturing accountability model, the representation of the Leaf Diagrams for the governance of agent behavioural autonomy, and an ontology of declarative policies for the identification and avoidance of ill-intentioned behaviours in the execution of CPPS services. We outline the application of this enhanced trustworthiness framework to an agent-based manufacturing use-case for the production of a variety of hand tools.

scholarly journals Cyber-Physical Production Systems in Settings with Limited Infrastructure

2021 ◽  
Vol 1 ◽  
Author(s):  
Bastian Prell ◽  
Norman Günther ◽  
Jörg Reiff-Stephan
Keyword(s):  
Industrial Production ◽  
Production Systems ◽  
Developed Countries ◽  
Industrial Applications ◽  
Production Environment ◽  
Industrial Companies ◽  
Similarities And Differences ◽  
Cyber Physical Production Systems ◽  
Smart Factories

During the last decade production innovation was mainly focused on connectivity aspects. The vision of smart factories running on software, that uses collected machine data, has become true but foremost for leading industrial companies in highly developed countries. Apart from these, production can also be found in non-industrialized craft professions as well as in less developed countries. As digitalization does not necessarily require an industrial or developed setting the latter could possibly benefit from it as well. Socio-cyber-physical production systems have been used to describe the interdependencies of linked production systems but usually focus on highly developed regions as well as for industrial applications. This paper lines out similarities and differences for each case, introduces the concept of cyber-physical production systems (CPPS) and its extension to socio-CPPS (SCPPS), which emphasizes the role of human workers in the production environment. The relation between industrial, non-industrial production and innovations is examined. Furthermore, the widening of SCCPS concepts for non-industrial production is discussed.

Intelligente Werkstattfertigung*/Intelligent job shop manufacturing - Control mechanisms for job shop manufacturing of series products using the German “Industrie 4.0” approach

2015 ◽  
Vol 105 (04) ◽  
pp. 184-189
Author(s):  
E. Uhlmann ◽  
B. Schallock ◽  
F. Otto
Keyword(s):  
Production Control ◽  
Job Shop ◽  
Production Systems ◽  
Industrie 4.0 ◽  
Innovative Technology ◽  
Shop Floor ◽  
Control Mechanisms ◽  
Utilisation Rate ◽  
Cyber Physical Production Systems ◽  
And Control

Die „intelligente selbstorganisierende Werkstattproduktion“ (iWePro) folgt dem Konzept einer dezentralisierten Produktionssteuerung. Erstmalig wird die Anwendung der Selbstorganisation auf die Serienproduktion von Automobilkomponenten untersucht, die momentan nach Lean-Prinzipien für große Stückzahlen verkettet aufgebaut ist. Zukünftig soll mit dem Werkstattprinzip schwankenden Auslastungen entgegengewirkt werden. Die Fertigungssteuerung für die dadurch wahlfrei zugreifbaren Produktionsmaschinen lässt sich konventionell kaum, wohl aber mit Zukunftskonzepten und Industrie 4.0-Technologien umsetzen.   “Intelligent self-organizing shop floor production” (iWePro) uses the concept of decentralized production control solutions. For the first time, a concept of self-organization is applied to the production of car components, which are currently a moving line according to traditional lean production large batch principles. In the future, the traditional shop floor structure of disconnected machines should guarantee a higher utilisation rate but needs innovative technology and control mechanisms for cyber-physical production systems (CPPS).

scholarly journals Development of a Decision Support System for 3D Printing Processes based on Cyber Physical Production Systems

Procedia CIRP ◽  
2021 ◽  
Vol 98 ◽  
pp. 348-353
Author(s):  
Rishi Kumar ◽  
Christopher Rogall ◽  
Sebastian Thiede ◽  
Christoph Herrmann ◽  
Kuldip Singh Sangwan
Keyword(s):  
Decision Support ◽  
3D Printing ◽  
Decision Support System ◽  
Support System ◽  
Production Systems ◽  
Cyber Physical Production Systems ◽  
Printing Processes
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