Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0

This paper investigates digital traceability technologies taking careful consideration of the company’s needs to improve the traceability of products at the production of GPV Group as well as the efficiency and added value in their production cycles. GPV is primarily an electronics manufacturing ser...

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Main Authors: Michail J. Beliatis, Kasper Jensen, Lars Ellegaard, Annabeth Aagaard, Mirko Presser
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/10/5/628
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author Michail J. Beliatis
Kasper Jensen
Lars Ellegaard
Annabeth Aagaard
Mirko Presser
author_facet Michail J. Beliatis
Kasper Jensen
Lars Ellegaard
Annabeth Aagaard
Mirko Presser
author_sort Michail J. Beliatis
collection DOAJ
description This paper investigates digital traceability technologies taking careful consideration of the company’s needs to improve the traceability of products at the production of GPV Group as well as the efficiency and added value in their production cycles. GPV is primarily an electronics manufacturing service company (EMS) that manufactures electronic circuit boards, in addition to big metal products at their mechanics manufacturing sites. The company aims to embrace the next generation IoT technologies such as digital traceability in their internal supply chain at manufacturing sites in order to stay compatible with the Industry 4.0 requirements. In this paper, the capabilities of suitable digital traceability technologies are screened together with the actual GPV needs to determine if deployment of such technologies would benefit GPV shop floor operations and can solve the issues they face due to a lack of traceability. The traceability term refers to tracking the geolocation of products throughout the manufacturing steps and how that functionality can foster further optimization of the manufacturing processes. The paper focuses on comparing different IoT technologies and analyze their positive and negative attributes to identify a suitable technological solution for product traceability in the metal manufacturing industry. Finally, the paper proposes a suitable implementation road map for GPV, which can also be adopted from other metal manufacturing industries to deploy Industry 4.0 traceability at shop floor level.
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spelling doaj.art-ce824ff5416944c096d01d2432ceb8992023-11-21T09:41:08ZengMDPI AGElectronics2079-92922021-03-0110562810.3390/electronics10050628Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0Michail J. Beliatis0Kasper Jensen1Lars Ellegaard2Annabeth Aagaard3Mirko Presser4Department of Technology and Business Development, Aarhus University, 7400 Herning, DenmarkDepartment of Technology and Business Development, Aarhus University, 7400 Herning, DenmarkDepartment of Digitalization GPV Group, GPV International A/S, 7100 Vejle, DenmarkDepartment of Technology and Business Development, Aarhus University, 7400 Herning, DenmarkDepartment of Technology and Business Development, Aarhus University, 7400 Herning, DenmarkThis paper investigates digital traceability technologies taking careful consideration of the company’s needs to improve the traceability of products at the production of GPV Group as well as the efficiency and added value in their production cycles. GPV is primarily an electronics manufacturing service company (EMS) that manufactures electronic circuit boards, in addition to big metal products at their mechanics manufacturing sites. The company aims to embrace the next generation IoT technologies such as digital traceability in their internal supply chain at manufacturing sites in order to stay compatible with the Industry 4.0 requirements. In this paper, the capabilities of suitable digital traceability technologies are screened together with the actual GPV needs to determine if deployment of such technologies would benefit GPV shop floor operations and can solve the issues they face due to a lack of traceability. The traceability term refers to tracking the geolocation of products throughout the manufacturing steps and how that functionality can foster further optimization of the manufacturing processes. The paper focuses on comparing different IoT technologies and analyze their positive and negative attributes to identify a suitable technological solution for product traceability in the metal manufacturing industry. Finally, the paper proposes a suitable implementation road map for GPV, which can also be adopted from other metal manufacturing industries to deploy Industry 4.0 traceability at shop floor level.https://www.mdpi.com/2079-9292/10/5/628Industry 4.0digital transformationdigitalizationIIoTdigital traceabilitymaterial flow
spellingShingle Michail J. Beliatis
Kasper Jensen
Lars Ellegaard
Annabeth Aagaard
Mirko Presser
Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0
Electronics
Industry 4.0
digital transformation
digitalization
IIoT
digital traceability
material flow
title Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0
title_full Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0
title_fullStr Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0
title_full_unstemmed Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0
title_short Next Generation Industrial IoT Digitalization for Traceability in Metal Manufacturing Industry: A Case Study of Industry 4.0
title_sort next generation industrial iot digitalization for traceability in metal manufacturing industry a case study of industry 4 0
topic Industry 4.0
digital transformation
digitalization
IIoT
digital traceability
material flow
url https://www.mdpi.com/2079-9292/10/5/628
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