scholarly journals Cooperative Approaches to Data Sharing and Analysis for Industrial Internet of Things Ecosystems

2021 ◽  
Vol 11 (16) ◽  
pp. 7547
Author(s):  
Henning Baars ◽  
Ann Tank ◽  
Patrick Weber ◽  
Hans-Georg Kemper ◽  
Heiner Lasi ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Value Creation ◽  
Manufacturing Industries ◽  
Industrial Internet Of Things ◽  
Manufacturing Environment ◽  
Novel Approach ◽  
Industrial Internet ◽  
It Resources

The collection and analysis of industrial Internet of Things (IIoT) data offer numerous opportunities for value creation, particularly in manufacturing industries. For small and medium-sized enterprises (SMEs), many of those opportunities are inaccessible without cooperation across enterprise borders and the sharing of data, personnel, finances, and IT resources. In this study, we suggest so-called data cooperatives as a novel approach to such settings. A data cooperative is understood as a legal unit owned by an ecosystem of cooperating SMEs and founded for supporting the members of the cooperative. In a series of 22 interviews, we developed a concept for cooperative IIoT ecosystems that we evaluated in four workshops, and we are currently implementing an IIoT ecosystem for the coolant management of a manufacturing environment. We discuss our findings and compare our approach with alternatives and its suitability for the manufacturing domain.

Towards Implementing a Collaborative Manufacturing Cloud Platform: Experimenting Testbeds Aiming Asset Efficiency

2020 ◽  
Author(s):  
Nuno Santos ◽  
Paula Monteiro ◽  
Francisco Morais ◽  
Jaime Pereira ◽  
Daniel Dias ◽  
...  
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Proof Of Concept ◽  
Cloud Platform ◽  
Industrial Internet Of Things ◽  
Manufacturing Environment ◽  
Collaborative Manufacturing ◽  
Manufacturing Operations ◽  
Industrial Internet ◽  
The Future

Abstract Developing Industrial Internet of Things (IIoT) systems requires addressing challenges that range from acquiring data at the level of the shopfloor, integrated at the edge level and managing it at the cloud level. Managing manufacturing operations at the cloud level arose the opportunity for extending decisions to entities of the supply chain in a collaborative way. Not only it has arisen many challenges due to several interoperability needs; but also in properly defining an effective way to take advantage of the available data, leading to Industrial Digital Thread (IDT) and Asset Efficiency (AE) implementing. This paper discusses implementation concerns for a collaborative manufacturing environment in an IIoT system in order to monitor equipment’s AE. Each concern was addressed in a separate proof of concept testbed. The demonstration is based in a project for the IIoT domain called PRODUTECH-SIF (Solutions for the Industry of the Future).

scholarly journals Responding to Failure Events in the Manufacturing Environment

2018 ◽  
Vol 188 ◽  
pp. 05006
Author(s):  
Christos Anagnostopoulos ◽  
Christos Alexakos ◽  
Apostolos Fournaris ◽  
Christos Koulamas ◽  
Athanasios Kalogeras
Keyword(s):  
Internet Of Things ◽  
Manufacturing Process ◽  
Failure Detection ◽  
Multi Agent System ◽  
Industrial Internet Of Things ◽  
Manufacturing Environment ◽  
Industrial Environment ◽  
Industrial Internet ◽  
Multi Agent ◽  
Manufacturing Resources

The manufacturing environment is characterized by increased complexity with different devices, systems and applications that need to interoperate, while residing at different layers of the classical industrial environment hierarchy. The introduction of the Industrial Internet of Things with increasingly smarter devices drives towards flatter hierarchies. This paper deals with an architecture for integration of IIoT devices in the manufacturing environment utilizing a Multi Agent System to this end. This extended architecture is utilised so as to perform failure detection of both IIoT devices and manufacturing resources, and react by altering the manufacturing process either automatically or semi-automatically.

Secure Online/Offline Data Sharing Framework for Cloud-Assisted Industrial Internet of Things

2019 ◽  
Vol 6 (5) ◽  
pp. 8681-8691 ◽  
Author(s):  
Yinbin Miao ◽  
Qiuyun Tong ◽  
Kim-Kwang Raymond Choo ◽  
Ximeng Liu ◽  
Robert H. Deng ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Industrial Internet Of Things ◽  
Industrial Internet
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