scholarly journals Smart Factory Web—A Blueprint Architecture for Open Marketplaces for Industrial Production

2021 ◽  
Vol 11 (14) ◽  
pp. 6585
Author(s):  
Thomas Usländer ◽  
Felix Schöppenthau ◽  
Boris Schnebel ◽  
Sascha Heymann ◽  
Ljiljana Stojanovic ◽  
...  
Keyword(s):  
Industrial Production ◽  
Functional System ◽  
Open Architecture ◽  
Smart Factory ◽  
Open Approach ◽  
Reference Architecture ◽  
Supply Chain Networks ◽  
Industrial Internet ◽  
International Data ◽  
Future Demands

The paper describes a reference architecture for open marketplaces to be used for networked stakeholders in industrial production ecosystems. The motivation for such an endeavor comes from the idea to apply the basic principle of the platform economy to offer functions of an asset “as a service” to industrial production, including the associated supply chain networks. Currently, commercial offers of “production as a service” usually lead to proprietary systems with the risk of platform vendor lock-ins. Hence, there is a need for an open approach that relies upon international (emerging) standards, especially those from IETF, IEC, the Plattform Industrie 4.0 and the International Data Spaces Association (IDSA). The presented approach enables federation of marketplaces according to well-defined interfaces. This article proposes a technology-independent open architecture derived from functional and non-functional system requirements and driven by the idea of the Smart Factory Web, a testbed of the Industrial Internet Consortium (IIC). Furthermore, the architecture of the Smart Factory Web (SFW) platform is presented and assessed against the current and future demands of open federated marketplaces for industrial production ecosystems.

Proposal of an Architecture based on RAMI 4.0 Layers for Flexible Manufacturing in Industry 4.0

2020 ◽  
Author(s):  
José Z. Neto ◽  
Joel Ravelli Jr ◽  
Eduardo P. Godoy
Keyword(s):  
Flexible Manufacturing ◽  
Industry 4.0 ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Three Dimensional ◽  
Reference Architecture ◽  
Architecture Model ◽  
Industrial Internet ◽  
Integration Architecture ◽  
Rapid Changes

The Industry 4.0 (I4.0) together with the Industrial Internet of Things (IIoT) enable business productivity to be improved through rapid changes in production scope in an increasingly volatile market. This technology innovation is perceived by integrating manufacturing systems, managing business rules, and decentralizing computing resources, enabling rapid changes in production systems. The Reference Architecture Model for Industry 4.0 (RAMI 4.0) is a three-dimensional layer model to support I4.0 applications. One of the major challenges for adopting RAMI 4.0 is the development of solutions that support the functionality of each layer and the necessary interactions between the elements of each layer. This paper focuses on the proposal of architecture for flexible manufacturing in I4.0 using all the Information Technology (IT) Layers of the RAMI 4.0. In order to enable a standardized and interoperable communication, the architecture used the OPC-UA protocol to connect the low layers elements in the factory perspective and REST APIs to connect the high layers in the business perspective. The integration architecture creates an online interface to provide the client the ability to enter, view, and even modify an order based on their needs and priorities, enabling the industry to implement rapid changes to adapt to the marketplace.

scholarly journals A Study on Intelligent Manufacturing Industrial Internet for Injection Molding Industry Based on Digital Twin

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Zhiyong Wang ◽  
Wei Feng ◽  
Junlin Ye ◽  
Jinbiao Yang ◽  
Chun Liu
Keyword(s):  
Injection Molding ◽  
Production Management ◽  
Production Efficiency ◽  
Intelligent Manufacturing ◽  
Management Control ◽  
Smart Factory ◽  
Digital Twin ◽  
Intelligent Control System ◽  
Twin System ◽  
Industrial Internet

As one of the basic manufacturing industries in China, injection molding industry is faced with the problems of low degree of informatization and intelligence, resulting in low production efficiency and high costs. It is urgent to integrate deeply with new generation of information technology to achieve transformation and upgrade. In this paper, an integrative industrial Internet architecture of “integration of intelligent equipment, intelligent production lines, intelligent workshops, intelligent factories, and intelligent formats” was described. The injection molding intelligent control system, the production management, control platform based on the MES system, and other key technologies were researched. Also, the smart factory architecture based on digital twin was established, and the implementation method of the smart factory digital twin system was elaborated. The feasibility and effectiveness of the method had been verified through the industrial application, which provided the technical supports for the injection molding industrial Internet system. Finally, the intelligent manufacturing industrial Internet cloud platform for injection molding industry was prospected.

Datenbasierte Handlungsunterstützung durch iIoT/Increased productivity of conventional production processes with industrial Internet of Things

2021 ◽  
Vol 111 (07-08) ◽  
pp. 553-558
Author(s):  
Matthias Scholer ◽  
Mario Roßdeutscher ◽  
Benjamin Scheufele
Keyword(s):  
Data Collection ◽  
Internet Of Things ◽  
Value Chain ◽  
Industrial Production ◽  
Structured Data ◽  
Industrial Internet Of Things ◽  
Production Processes ◽  
Industrial Internet ◽  
Conventional Production ◽  
Means Of Production

Wenn Mitarbeiter datenbasiert handeln und somit in ihrem täglichen Umfeld dazu lernen können, ergeben sich hohe Potenziale für Produktivitätsverbesserungen entlang der gesamten Wertschöpfungskette in der industriellen Produktion. Dazu muss in einem Produktionsbetrieb eine ganzheitliche Vernetzung und strukturierte Datenerfassung aller relevanten Produktionsmittel erreicht werden. Zu diesem Zweck wird in diesem Beitrag eine Methodik beschrieben, wie konventionelle Maschinen und Anlagen mittels iIoT vernetzt sowie Daten effizient erfasst und anschließend für die Mitarbeiter verfügbar gemacht werden können.   With employees acting in a data-based manner and learning in their daily environment, there is high potential for productivity improvements along the entire value chain in industrial production. To achieve this, a holistic networking and structured data collection of all relevant means of production must be achieved. Therefore, this article describes a methodology for networking conventional machines and plants using iIoT, efficiently recording data, and then making them available to employees.

scholarly journals Analyzing Critical Failures in a Production Process: Is Industrial IoT the Solution?

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Shafiq Ahmad ◽  
Ahmed Badwelan ◽  
Atef M. Ghaleb ◽  
Ammar Qamhan ◽  
Mohamed Sharaf ◽  
...  
Keyword(s):  
Production Process ◽  
Business Case ◽  
Smart Factory ◽  
Smart Manufacturing ◽  
Industrial Internet ◽  
Proposed Model ◽  
Industrial Iot ◽  
Statistical Relationships ◽  
Traditional Manufacturing ◽  
Production Organization

Machine failures cause adverse impact on operational efficiency of any manufacturing concern. Identification of such critical failures and examining their associations with other process parameters pose a challenge in a traditional manufacturing environment. This research study focuses on the analysis of critical failures and their associated interaction effects which are affecting the production activities. To improve the fault detection process more accurately and efficiently, a conceptual model towards a smart factory data analytics using cyber physical systems (CPS) and Industrial Internet of Things (IIoTs) is proposed. The research methodology is based on a fact-driven statistical approach. Unlike other published work, this study has investigated the statistical relationships among different critical failures (factors) and their associated causes (cause of failures) which occurred due to material deficiency, production organization, and planning. A real business case is presented and the results which cause significant failure are illustrated. In addition, the proposed smart factory model will enable any manufacturing concern to predict critical failures in a production process and provide a real-time process monitoring. The proposed model will enable creating an intelligent predictive failure control system which can be integrated with production devices to create an ambient intelligence environment and thus will provide a solution for a smart manufacturing process of the future.

scholarly journals A reference architecture for the collaborative planning modelling process in multi-tier supply chain networks: a Zachman-based approach

2013 ◽  
Vol 25 (13-14) ◽  
pp. 1118-1134 ◽  
Author(s):  
Jorge E. Hernández ◽  
Andrew C. Lyons ◽  
Raul Poler ◽  
Josefa Mula ◽  
Ricardo Goncalves
Keyword(s):  
Supply Chain ◽  
Collaborative Planning ◽  
Reference Architecture ◽  
Supply Chain Networks ◽  
Modelling Process

scholarly journals An improved cyber-physical systems architecture for Industry 4.0 smart factories

2018 ◽  
Vol 10 (6) ◽  
pp. 168781401878419 ◽  
Author(s):  
Jehn-Ruey Jiang
Keyword(s):  
Vertical Integration ◽  
Physical System ◽  
Industry 4.0 ◽  
Smart Factory ◽  
Cyber Physical System ◽  
Industrial Internet Of Things ◽  
Systems Architecture ◽  
Physical Systems ◽  
Industrial Internet ◽  
Smart Factories

The cyber-physical system is the core concept of Industry 4.0 for building smart factories. We can rely on the ISA-95 architecture or the 5C architecture to build the cyber-physical system for smart factories. However, both architectures emphasize more on vertical integration and less on horizontal integration. This article proposes the 8C architecture by adding 3C facets into the 5C architecture. The 3C facets are coalition, customer, and content. The proposed 8C architecture is a helpful guideline to build the cyber-physical system for smart factories. We show an example of designing and developing, on the basis of the proposed 8C architecture, a smart factory cyber-physical system, including an Industrial Internet of Things gateway and a smart factory data center running in the cloud environment.

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