A Literature Review on Human Changeover Ability in High-Variety Production

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

The business strategy of Mass Customization, enabled by e.g. Reconfigurable Manufacturing and Changeable Manufacturing is based on the fundamental premise; to achieve high operational efficiency, while producing high-variety products in small batches and with short product-life cycle of the unique products. To efficiently achieve this premise in manufacturing systems, all levels of changeability must be addressed. This paper investigates a fundamental sub-set of this changeability, which has not been addressed comprehensively by academia; the human changeover ability on workstation level. Based on a literature review, this paper identifies seven human related challenges which must be addressed to be able to manage high-variety and low-volume efficiently on a changeover ability level. This leads to a subsequent literature review that aims at investigating possible approaches and solutions for the identified challenges. Overall seven approaches and solutions have been identified which address five of the seven identified challenges. This leaves two challenges open; the forgetting and learning curve. These two challenges are therefore proposed for further research to be at the cutting edge of an emerging challenge organizations striving for high-variety production will meet.
Original languageEnglish
Title of host publicationAdvances in Production Management Systems. Smart Manufacturing for Industry 4.0 : IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, August 26-30, 2018, Proceedings, Part II
EditorsIlkyeong Moon, Gyu M. Lee, Jinwoo Park, Dimitris Kiritsis, Gregor von Cieminski
Number of pages7
PublisherSpringer
Publication date25 Aug 2018
Pages442-448
ISBN (Print)978-3-319-99706-3
ISBN (Electronic)978-3-319-99707-0
DOIs
Publication statusPublished - 25 Aug 2018
EventIFIP International Conference on Advances in Production Management Systems: Production Management for Data-Driven, Intelligent, Collaborative, and Sustainable Manufacturing - Seoul, Korea, Republic of
Duration: 26 Aug 201830 Aug 2018

Conference

ConferenceIFIP International Conference on Advances in Production Management Systems
CountryKorea, Republic of
CitySeoul
Period26/08/201830/08/2018
SeriesI F I P Advances in Information and Communication Technology
Volume536
ISSN1571-5736

Cite this

Ketelsen, C., Andersen, R., Nielsen, K., Andersen, A-L., Brunoe, T. D., & Bech, S. (2018). A Literature Review on Human Changeover Ability in High-Variety Production. In I. Moon, G. M. Lee, J. Park, D. Kiritsis, & G. von Cieminski (Eds.), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0: IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, August 26-30, 2018, Proceedings, Part II (pp. 442-448). Springer. I F I P Advances in Information and Communication Technology, Vol.. 536 https://doi.org/10.1007/978-3-319-99707-0_55
Ketelsen, Christopher ; Andersen, Rasmus ; Nielsen, Kjeld ; Andersen, Ann-Louise ; Brunoe, Thomas D. ; Bech, Sofie. / A Literature Review on Human Changeover Ability in High-Variety Production. Advances in Production Management Systems. Smart Manufacturing for Industry 4.0: IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, August 26-30, 2018, Proceedings, Part II. editor / Ilkyeong Moon ; Gyu M. Lee ; Jinwoo Park ; Dimitris Kiritsis ; Gregor von Cieminski. Springer, 2018. pp. 442-448 (I F I P Advances in Information and Communication Technology, Vol. 536).
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abstract = "The business strategy of Mass Customization, enabled by e.g. Reconfigurable Manufacturing and Changeable Manufacturing is based on the fundamental premise; to achieve high operational efficiency, while producing high-variety products in small batches and with short product-life cycle of the unique products. To efficiently achieve this premise in manufacturing systems, all levels of changeability must be addressed. This paper investigates a fundamental sub-set of this changeability, which has not been addressed comprehensively by academia; the human changeover ability on workstation level. Based on a literature review, this paper identifies seven human related challenges which must be addressed to be able to manage high-variety and low-volume efficiently on a changeover ability level. This leads to a subsequent literature review that aims at investigating possible approaches and solutions for the identified challenges. Overall seven approaches and solutions have been identified which address five of the seven identified challenges. This leaves two challenges open; the forgetting and learning curve. These two challenges are therefore proposed for further research to be at the cutting edge of an emerging challenge organizations striving for high-variety production will meet.",
author = "Christopher Ketelsen and Rasmus Andersen and Kjeld Nielsen and Ann-Louise Andersen and Brunoe, {Thomas D.} and Sofie Bech",
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Ketelsen, C, Andersen, R, Nielsen, K, Andersen, A-L, Brunoe, TD & Bech, S 2018, A Literature Review on Human Changeover Ability in High-Variety Production. in I Moon, GM Lee, J Park, D Kiritsis & G von Cieminski (eds), Advances in Production Management Systems. Smart Manufacturing for Industry 4.0: IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, August 26-30, 2018, Proceedings, Part II. Springer, I F I P Advances in Information and Communication Technology, vol. 536, pp. 442-448, IFIP International Conference on Advances in Production Management Systems, Seoul, Korea, Republic of, 26/08/2018. https://doi.org/10.1007/978-3-319-99707-0_55

A Literature Review on Human Changeover Ability in High-Variety Production. / Ketelsen, Christopher; Andersen, Rasmus; Nielsen, Kjeld; Andersen, Ann-Louise; Brunoe, Thomas D.; Bech, Sofie.

Advances in Production Management Systems. Smart Manufacturing for Industry 4.0: IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, August 26-30, 2018, Proceedings, Part II. ed. / Ilkyeong Moon; Gyu M. Lee; Jinwoo Park; Dimitris Kiritsis; Gregor von Cieminski. Springer, 2018. p. 442-448 (I F I P Advances in Information and Communication Technology, Vol. 536).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AB - The business strategy of Mass Customization, enabled by e.g. Reconfigurable Manufacturing and Changeable Manufacturing is based on the fundamental premise; to achieve high operational efficiency, while producing high-variety products in small batches and with short product-life cycle of the unique products. To efficiently achieve this premise in manufacturing systems, all levels of changeability must be addressed. This paper investigates a fundamental sub-set of this changeability, which has not been addressed comprehensively by academia; the human changeover ability on workstation level. Based on a literature review, this paper identifies seven human related challenges which must be addressed to be able to manage high-variety and low-volume efficiently on a changeover ability level. This leads to a subsequent literature review that aims at investigating possible approaches and solutions for the identified challenges. Overall seven approaches and solutions have been identified which address five of the seven identified challenges. This leaves two challenges open; the forgetting and learning curve. These two challenges are therefore proposed for further research to be at the cutting edge of an emerging challenge organizations striving for high-variety production will meet.

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Ketelsen C, Andersen R, Nielsen K, Andersen A-L, Brunoe TD, Bech S. A Literature Review on Human Changeover Ability in High-Variety Production. In Moon I, Lee GM, Park J, Kiritsis D, von Cieminski G, editors, Advances in Production Management Systems. Smart Manufacturing for Industry 4.0: IFIP WG 5.7 International Conference, APMS 2018, Seoul, Korea, August 26-30, 2018, Proceedings, Part II. Springer. 2018. p. 442-448. (I F I P Advances in Information and Communication Technology, Vol. 536). https://doi.org/10.1007/978-3-319-99707-0_55