Implementing Machine Learning in Small and Medium-sized Manufacturing Enterprises

Nadeem Iftikhar; Finn Ebertsen Nordbjerg

doi:10.1007/978-3-030-90700-6_51

Implementing Machine Learning in Small and Medium-sized Manufacturing Enterprises

Nadeem Iftikhar, Finn Ebertsen Nordbjerg

Publikation: Bidrag til bog/antologi/rapport › Konferenceartikel i proceeding › peer review

Abstract

Large enterprises in the world are making substantial investments to adopt smart manufacturing technologies (Industry 4.0). Machine learning is one of the main driving forces behind this industrial revolution. On the other hand, small and medium-sized enterprises (SMEs) in the manufacturing sector are falling behind. Thus, for SMEs, there is an urgent need for adopting a machine learning based approach to gain competitive advantage. Machine learning helps SMEs to improve efficiency, catch manufacturing defects, predict machine failures, reduce unplanned downtime and increase productivity. This paper elaborates on machine learning project development life cycle for manufacturing SMEs. Furthermore, the paper presents a real-life case study of a medium-sized manufacturing company. Finally, the paper offers new insights and suggestions for other SMEs to adopt machine learning successfully.

Originalsprog	Engelsk
Titel	Towards Sustainable Customization : Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021
Redaktører	Ann Louise Andersen, Rasmus Andersen, Thomas Ditlev Brunoe, Maria Stoettrup Schioenning Larsen, Kjeld Nielsen, Alessia Napoleone, Stefan Kjeldgaard
Antal sider	9
Forlag	Springer
Publikationsdato	2021
Sider	448-456
ISBN (Trykt)	978-3-030-90699-3
ISBN (Elektronisk)	978-3-030-90700-6
DOI	https://doi.org/10.1007/978-3-030-90700-6_51
Status	Udgivet - 2021
Begivenhed	8th Changeable, Agile, Reconfigurable and Virtual Production Conference &10th World Mass Customization and Personalization Conference, 2021 - Aalborg Universitet, Aalborg, Danmark Varighed: 1 nov. 2021 → 2 nov. 2021

Konference

Konference	8th Changeable, Agile, Reconfigurable and Virtual Production Conference &10th World Mass Customization and Personalization Conference, 2021
Lokation	Aalborg Universitet
Land/Område	Danmark
By	Aalborg
Periode	01/11/21 → 02/11/21
Andet	The CARV2021 conference is co-located with the 10th World Conference Mass Customization, Personalization & Co-Creation (MCPC2021).

Navn	Lecture Notes in Mechanical Engineering

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10.1007/978-3-030-90700-6_51Licens: Andet

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Link to publication in Scopus

Production Data Analytics
Iftikhar, N. (Projektleder), Nordbjerg, F. E. (Projektleder), Hvarregaard, B. (Projektdeltager) & Jeppesen, K. (Projektdeltager)
01/09/18 → …
Projekter: Projekt › Forskning

Citationsformater

Iftikhar, N., & Nordbjerg, F. E. (2021). Implementing Machine Learning in Small and Medium-sized Manufacturing Enterprises. I A. L. Andersen, R. Andersen, T. D. Brunoe, M. S. S. Larsen, K. Nielsen, A. Napoleone, & S. Kjeldgaard (red.), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021 (s. 448-456). Springer. https://doi.org/10.1007/978-3-030-90700-6_51

Iftikhar, Nadeem ; Nordbjerg, Finn Ebertsen. / Implementing Machine Learning in Small and Medium-sized Manufacturing Enterprises. Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021. red. / Ann Louise Andersen ; Rasmus Andersen ; Thomas Ditlev Brunoe ; Maria Stoettrup Schioenning Larsen ; Kjeld Nielsen ; Alessia Napoleone ; Stefan Kjeldgaard. Springer, 2021. s. 448-456 (Lecture Notes in Mechanical Engineering).

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title = "Implementing Machine Learning in Small and Medium-sized Manufacturing Enterprises",

abstract = "Large enterprises in the world are making substantial investments to adopt smart manufacturing technologies (Industry 4.0). Machine learning is one of the main driving forces behind this industrial revolution. On the other hand, small and medium-sized enterprises (SMEs) in the manufacturing sector are falling behind. Thus, for SMEs, there is an urgent need for adopting a machine learning based approach to gain competitive advantage. Machine learning helps SMEs to improve efficiency, catch manufacturing defects, predict machine failures, reduce unplanned downtime and increase productivity. This paper elaborates on machine learning project development life cycle for manufacturing SMEs. Furthermore, the paper presents a real-life case study of a medium-sized manufacturing company. Finally, the paper offers new insights and suggestions for other SMEs to adopt machine learning successfully.",

author = "Nadeem Iftikhar and Nordbjerg, {Finn Ebertsen}",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 8th Changeable, Agile, Reconfigurable<br/>and Virtual Production Conference &10th World Mass Customization and Personalization Conference, 2021, CARV 2021/MCPC 2021 ; Conference date: 01-11-2021 Through 02-11-2021",

year = "2021",

doi = "10.1007/978-3-030-90700-6_51",

language = "English",

isbn = "978-3-030-90699-3",

series = "Lecture Notes in Mechanical Engineering",

pages = "448--456",

editor = "Andersen, {Ann Louise} and Rasmus Andersen and Brunoe, {Thomas Ditlev} and Larsen, {Maria Stoettrup Schioenning} and Kjeld Nielsen and Alessia Napoleone and Stefan Kjeldgaard",

booktitle = "Towards Sustainable Customization",

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}

Iftikhar, N & Nordbjerg, FE 2021, Implementing Machine Learning in Small and Medium-sized Manufacturing Enterprises. i AL Andersen, R Andersen, TD Brunoe, MSS Larsen, K Nielsen, A Napoleone & S Kjeldgaard (red), Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021. Springer, Lecture Notes in Mechanical Engineering, s. 448-456, 8th Changeable, Agile, Reconfigurable
and Virtual Production Conference &10th World Mass Customization and Personalization Conference, 2021, Aalborg, Danmark, 01/11/21. https://doi.org/10.1007/978-3-030-90700-6_51

Implementing Machine Learning in Small and Medium-sized Manufacturing Enterprises. / Iftikhar, Nadeem ; Nordbjerg, Finn Ebertsen.
Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021. red. / Ann Louise Andersen; Rasmus Andersen; Thomas Ditlev Brunoe; Maria Stoettrup Schioenning Larsen; Kjeld Nielsen; Alessia Napoleone; Stefan Kjeldgaard. Springer, 2021. s. 448-456 (Lecture Notes in Mechanical Engineering).

Publikation: Bidrag til bog/antologi/rapport › Konferenceartikel i proceeding › peer review

TY - GEN

T1 - Implementing Machine Learning in Small and Medium-sized Manufacturing Enterprises

AU - Iftikhar, Nadeem

AU - Nordbjerg, Finn Ebertsen

PY - 2021

Y1 - 2021

N2 - Large enterprises in the world are making substantial investments to adopt smart manufacturing technologies (Industry 4.0). Machine learning is one of the main driving forces behind this industrial revolution. On the other hand, small and medium-sized enterprises (SMEs) in the manufacturing sector are falling behind. Thus, for SMEs, there is an urgent need for adopting a machine learning based approach to gain competitive advantage. Machine learning helps SMEs to improve efficiency, catch manufacturing defects, predict machine failures, reduce unplanned downtime and increase productivity. This paper elaborates on machine learning project development life cycle for manufacturing SMEs. Furthermore, the paper presents a real-life case study of a medium-sized manufacturing company. Finally, the paper offers new insights and suggestions for other SMEs to adopt machine learning successfully.

AB - Large enterprises in the world are making substantial investments to adopt smart manufacturing technologies (Industry 4.0). Machine learning is one of the main driving forces behind this industrial revolution. On the other hand, small and medium-sized enterprises (SMEs) in the manufacturing sector are falling behind. Thus, for SMEs, there is an urgent need for adopting a machine learning based approach to gain competitive advantage. Machine learning helps SMEs to improve efficiency, catch manufacturing defects, predict machine failures, reduce unplanned downtime and increase productivity. This paper elaborates on machine learning project development life cycle for manufacturing SMEs. Furthermore, the paper presents a real-life case study of a medium-sized manufacturing company. Finally, the paper offers new insights and suggestions for other SMEs to adopt machine learning successfully.

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DO - 10.1007/978-3-030-90700-6_51

M3 - Conference contribution to proceeding

SN - 978-3-030-90699-3

T3 - Lecture Notes in Mechanical Engineering

SP - 448

EP - 456

BT - Towards Sustainable Customization

A2 - Andersen, Ann Louise

A2 - Andersen, Rasmus

A2 - Brunoe, Thomas Ditlev

A2 - Larsen, Maria Stoettrup Schioenning

A2 - Nielsen, Kjeld

A2 - Napoleone, Alessia

A2 - Kjeldgaard, Stefan

PB - Springer

T2 - 8th Changeable, Agile, Reconfigurable<br/>and Virtual Production Conference &10th World Mass Customization and Personalization Conference, 2021

Y2 - 1 November 2021 through 2 November 2021

ER -

Iftikhar N , Nordbjerg FE. Implementing Machine Learning in Small and Medium-sized Manufacturing Enterprises. I Andersen AL, Andersen R, Brunoe TD, Larsen MSS, Nielsen K, Napoleone A, Kjeldgaard S, red., Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems - Proceedings of the 8th Changeable, Agile, Reconfigurable and Virtual Production Conference CARV 2021 and 10th World Mass Customization and Personalization Conference MCPC 2021. Springer. 2021. s. 448-456. (Lecture Notes in Mechanical Engineering). doi: 10.1007/978-3-030-90700-6_51

Implementing Machine Learning in Small and Medium-sized Manufacturing Enterprises

Abstract

Konference

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Projekter

Production Data Analytics

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