Towards a Digital Thread Between Industrial Internet of Things and Product Lifecycle Management: Experimental Work for Prototype Implementation

2019 ◽  
pp. 273-282
Author(s):  
Piers Barrios ◽  
Benoit Eynard ◽  
Christophe Danjou
Keyword(s):  
Internet Of Things ◽  
Experimental Work ◽  
Product Lifecycle Management ◽  
Industrial Internet Of Things ◽  
Product Lifecycle ◽  
Prototype Implementation ◽  
Industrial Internet ◽  
Lifecycle Management

scholarly journals Requirements for a Product Lifecycle Management System Using Internet of Things and Big Data Analytics for Product-as-a-Service

2021 ◽  
Vol 2 ◽  
Author(s):  
Tomohiko Sakao ◽  
Alex Kim Nordholm
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Use Phase ◽  
Lifecycle Management ◽  
Original Equipment Manufacturers ◽  
The Internet Of Things

Product-as-a-service (PaaS) offerings have advantages and potential for transforming societies to a circular economy and for improving environmental performance. Original equipment manufacturers providing PaaS offerings take higher responsibility for product performances in the use phase than those selling products. This responsibility can be supported by digital technologies such as the Internet of Things (IoT) and big data analytics (BDA). However, insights on how data of product designs and in-use services are managed for PaaS offerings in product lifecycle management (PLM) software are scarce. This mini-review first gives an account of extant major research works that successfully applied BDA, a specific technique of artificial intelligence (AI), to cases in industry through a systematic literature review. Then, these works are analyzed to capture requirements for a PLM system that will exploit the IoT and BDA for PaaS offerings. The captured requirements are summarized as (1) facilitate product and service integration, (2) address multiple lifecycles, (3) adopt an ontology approach encompassing several product standards, and (4) include reading data to process in an interoperation layer.

scholarly journals Internet of Things - Enabled Visual Analytics for Linked Maintenance and Product Lifecycle Management

2018 ◽  
Vol 51 (11) ◽  
pp. 435-440 ◽  
Author(s):  
C. Emmanouilidis ◽  
L. Bertoncelj ◽  
M. Bevilacqua ◽  
S. Tedeschi ◽  
C. Ruiz-Carcel
Keyword(s):  
Internet Of Things ◽  
Visual Analytics ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Lifecycle Management

Industrial internet platforms: A conceptual evaluation from a product lifecycle management perspective

2018 ◽  
Vol 233 (5) ◽  
pp. 1390-1401 ◽  
Author(s):  
Karan Menon ◽  
Hannu Kärkkäinen ◽  
Thorsten Wuest ◽  
Jayesh Prakash Gupta
Keyword(s):  
Time Management ◽  
Product Lifecycle Management ◽  
Manufacturing Companies ◽  
Product Lifecycle ◽  
Related Data ◽  
Industrial Internet ◽  
Managerial Implications ◽  
Internet Platform ◽  
And Control ◽  
Lifecycle Management

Industrial Internet platforms have the ability to access, manage and control product-related data, information and knowledge across all the lifecycle phases (beginning of life, middle of life and end of life). Traditional product lifecycle management/product data management software have many limitations when it comes to solving product lifecycle management challenges, like interoperability for instance. Industrial Internet platforms can provide real-time management of data and information along all the phases of a product’s lifecycle. Platform openness in combination with the above-mentioned industrial internet platform characteristics helps solve the product lifecycle management challenges. This article describes the product lifecycle management challenges in detail from the existing literature and presents solutions using industrial internet platform openness and related dimensions as well as sub-dimensions. A wide pool of platforms is narrowed down to specific platforms that can solve the documented product lifecycle management challenges and allow the manufacturing companies to collaborate as well as enhance their business. We also present in detail managerial implications toward long-term and sustainable selection of industrial internet platform.

Wie intelligente, vernetzte Produkte von Anfang an entwickelt werden

Konstruktion ◽  
2018 ◽  
Vol 70 (04) ◽  
pp. 40-42
Author(s):  
Stephan Ellenrieder
Keyword(s):  
Augmented Reality ◽  
Internet Of Things ◽  
Product Lifecycle Management ◽  
Product Lifecycle ◽  
Internet Der Dinge ◽  
Erweiterte Realität ◽  
Lifecycle Management

Das Internet der Dinge (Internet of Things, IoT) ist die nächste Generation des Product Lifecycle Management (PLM). Physikalische Daten werden durch IoT in die digitale Welt transportiert. Durch die Wahrnehmung und die darauf basierten Entscheidungen von Menschen bringt die erweiterte Realität (Augmented Reality, AR) im Gegenzug digitale Informationen zurück in die physikalische Welt. CAD und PLM sind die Vermittler, die diese beiden Gebiete zusammenhalten. Das alles macht aber nur dann Sinn, wenn die Realität in der Werkshalle betrachtet wird. Wie passt IoT in den Produktlebens- zyklus eines realen Produktes? Anhand eines Produktbeispiels des PTC-Kunden Bosch Rexroth wird beschrieben, wie ein vernetztes Produkt die Grundlage für die eigene Überarbeitung bietet und dazu beiträgt, neue Marktsegmente zu definieren und auch dank AR-Technologie eine bessere Verbindung zwischen Hersteller und Kunden zu schaffen.

An Integrated Legacy of Modbus Devices to Industrial Internet of Things: Approach for Smart Industries

2020 ◽  
Author(s):  
Karthik Muthineni
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Industrial Internet Of Things ◽  
Intelligent Decision Making ◽  
Internet Of Everything ◽  
Industrial Internet ◽  
Intelligent Decision ◽  
Network Platform ◽  
Smart Factories

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.

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