Process for Enhancing the Production System Robustness with Sensor Data – a Food Manufacturer Case Study

Sofie Bech; Thomas Ditlev Brunoe; Kjeld Nielsen

doi:10.1007/978-3-030-29996-5_47

Process for Enhancing the Production System Robustness with Sensor Data – a Food Manufacturer Case Study

Sofie Bech, Thomas Ditlev Brunoe^*, Kjeld Nielsen

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

1 Citationer (Scopus)

Abstract

Global markets for food products are changing towards accommodating larger product variety while experiencing shorter lifespans of products. These market trends impose pressure on the existing manufacturing infrastructure, however the food industry lacks investment in manufacturing technology. This research illustrates how the robustness of the existing production system can be enhanced using sensor data, including a case study of a Danish food company. The paper presents an outline of an iterative process performed in a case company to identify and carry out the potential of utilize sensor data from the existing production setup, and an example of the potential and return of investment is introduced. Several challenges are recognized when implementing sensor data to enhance the production system robustness. The in-house competencies are lacking in order to install the setup of sensors and operating in a database with a big amount of data. In addition, the challenge of continuously maintaining the data and the analyses is present. The research points to the importance of involving operators to better understand the context of the production. In conclusion, the case company has achieved information of the production based on data and not only running adjustments, based intuition of the operators and has thereby enhanced the production system robustness.

Originalsprog	Engelsk
Titel	Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings
Redaktører	Farhad Ameri, Kathryn E. Stecke, Gregor von Cieminski, Dimitris Kiritsis
Antal sider	8
Forlag	Springer
Publikationsdato	2019
Sider	405-412
ISBN (Trykt)	978-3-030-29995-8
ISBN (Elektronisk)	978-3-030-29996-5
DOI	https://doi.org/10.1007/978-3-030-29996-5_47
Status	Udgivet - 2019
Begivenhed	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2019 - Austin, USA Varighed: 1 sep. 2019 → 5 sep. 2019

Konference

Konference	IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2019
Land/Område	USA
By	Austin
Periode	01/09/2019 → 05/09/2019

Navn	I F I P Advances in Information and Communication Technology
Vol/bind	567
ISSN	1868-4238

Bibliografisk note

Publisher Copyright:
© IFIP International Federation for Information Processing 2019.

Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.

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10.1007/978-3-030-29996-5_47

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Citationsformater

Bech, S., Brunoe, T. D., & Nielsen, K. (2019). Process for Enhancing the Production System Robustness with Sensor Data – a Food Manufacturer Case Study. I F. Ameri, K. E. Stecke, G. von Cieminski, & D. Kiritsis (red.), Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings (s. 405-412). Springer. https://doi.org/10.1007/978-3-030-29996-5_47

Bech, Sofie ; Brunoe, Thomas Ditlev ; Nielsen, Kjeld. / Process for Enhancing the Production System Robustness with Sensor Data – a Food Manufacturer Case Study. Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings. red. / Farhad Ameri ; Kathryn E. Stecke ; Gregor von Cieminski ; Dimitris Kiritsis. Springer, 2019. s. 405-412 (I F I P Advances in Information and Communication Technology, Bind 567).

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title = "Process for Enhancing the Production System Robustness with Sensor Data – a Food Manufacturer Case Study",

abstract = "Global markets for food products are changing towards accommodating larger product variety while experiencing shorter lifespans of products. These market trends impose pressure on the existing manufacturing infrastructure, however the food industry lacks investment in manufacturing technology. This research illustrates how the robustness of the existing production system can be enhanced using sensor data, including a case study of a Danish food company. The paper presents an outline of an iterative process performed in a case company to identify and carry out the potential of utilize sensor data from the existing production setup, and an example of the potential and return of investment is introduced. Several challenges are recognized when implementing sensor data to enhance the production system robustness. The in-house competencies are lacking in order to install the setup of sensors and operating in a database with a big amount of data. In addition, the challenge of continuously maintaining the data and the analyses is present. The research points to the importance of involving operators to better understand the context of the production. In conclusion, the case company has achieved information of the production based on data and not only running adjustments, based intuition of the operators and has thereby enhanced the production system robustness.",

keywords = "Food manufacturing, Production system robustness, Sensor data",

author = "Sofie Bech and Brunoe, {Thomas Ditlev} and Kjeld Nielsen",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2019. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2019 ; Conference date: 01-09-2019 Through 05-09-2019",

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Bech, S, Brunoe, TD & Nielsen, K 2019, Process for Enhancing the Production System Robustness with Sensor Data – a Food Manufacturer Case Study. i F Ameri, KE Stecke, G von Cieminski & D Kiritsis (red), Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings. Springer, I F I P Advances in Information and Communication Technology, bind 567, s. 405-412, IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2019, Austin, USA, 01/09/2019. https://doi.org/10.1007/978-3-030-29996-5_47

Process for Enhancing the Production System Robustness with Sensor Data – a Food Manufacturer Case Study. / Bech, Sofie; Brunoe, Thomas Ditlev ; Nielsen, Kjeld.
Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings. red. / Farhad Ameri; Kathryn E. Stecke; Gregor von Cieminski; Dimitris Kiritsis. Springer, 2019. s. 405-412 (I F I P Advances in Information and Communication Technology, Bind 567).

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

TY - GEN

T1 - Process for Enhancing the Production System Robustness with Sensor Data – a Food Manufacturer Case Study

AU - Bech, Sofie

AU - Brunoe, Thomas Ditlev

AU - Nielsen, Kjeld

PY - 2019

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N2 - Global markets for food products are changing towards accommodating larger product variety while experiencing shorter lifespans of products. These market trends impose pressure on the existing manufacturing infrastructure, however the food industry lacks investment in manufacturing technology. This research illustrates how the robustness of the existing production system can be enhanced using sensor data, including a case study of a Danish food company. The paper presents an outline of an iterative process performed in a case company to identify and carry out the potential of utilize sensor data from the existing production setup, and an example of the potential and return of investment is introduced. Several challenges are recognized when implementing sensor data to enhance the production system robustness. The in-house competencies are lacking in order to install the setup of sensors and operating in a database with a big amount of data. In addition, the challenge of continuously maintaining the data and the analyses is present. The research points to the importance of involving operators to better understand the context of the production. In conclusion, the case company has achieved information of the production based on data and not only running adjustments, based intuition of the operators and has thereby enhanced the production system robustness.

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KW - Food manufacturing

KW - Production system robustness

KW - Sensor data

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Bech S, Brunoe TD , Nielsen K. Process for Enhancing the Production System Robustness with Sensor Data – a Food Manufacturer Case Study. I Ameri F, Stecke KE, von Cieminski G, Kiritsis D, red., Advances in Production Management Systems. Towards Smart Production Management Systems - IFIP WG 5.7 International Conference, APMS 2019, Proceedings. Springer. 2019. s. 405-412. (I F I P Advances in Information and Communication Technology, Bind 567). doi: 10.1007/978-3-030-29996-5_47

Process for Enhancing the Production System Robustness with Sensor Data – a Food Manufacturer Case Study

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