Modelling forgetting due to intermittent production in mixed-model line scheduling

Ostermeier, FF; Deuse, J

Modelling forgetting due to intermittent production in mixed-model line scheduling

Ostermeier, FF Deuse, J

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Publisher:: SPRINGER
Publication Type:: Journal Article
Citation:: Flexible Services and Manufacturing Journal, 2023
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Ostermeier, FF
dc.contributor.author	Deuse, J https://orcid.org/0000-0003-4066-4357
dc.date.accessioned	2023-11-06T00:42:09Z
dc.date.available	2023-11-06T00:42:09Z
dc.date.issued	2023-01-01
dc.identifier.citation	Flexible Services and Manufacturing Journal, 2023
dc.identifier.issn	1936-6582
dc.identifier.issn	1936-6590
dc.identifier.uri	http://hdl.handle.net/10453/173018
dc.description.abstract	Forgetting effects occur whenever production is interrupted and workers lose previously acquired routine. Existing forgetting models primarily focused on the impacts of production breaks in single-product production environments. Consequently, forgetting models neglected times during which a different product type is produced despite being an important cause for forgetting in industrial mixed-model production. Therefore, this work extends existing forgetting models for application in mixed-model line scheduling models by considering times of intermittent production. These are modelled as interruptions in addition to production break interruptions. A routine loss factor is introduced that allows to partially consider times elapsed during which different products are processed. The higher the routine loss factor is, the higher the considered portion of the time elapsed due to intermittent production becomes and the higher becomes the amount of forgetting. Through means of simulation studies it is investigated how the routine loss factor affects the height of learning effects present and the line performance in terms of makespan and flow time. While sequence types with a higher degree of grouping are almost insensitive with respect to the height of the routine loss factor, sequences with no grouping are strongly affected. Depending on the height of the routine loss factor different sequence types are preferred. Hence, not modelling forgetting appropriately can lead to non-optimal schedules.
dc.language	English
dc.publisher	SPRINGER
dc.relation.ispartof	Flexible Services and Manufacturing Journal
dc.relation.isbasedon	10.1007/s10696-023-09500-2
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	01 Mathematical Sciences, 08 Information and Computing Sciences, 09 Engineering
dc.subject.classification	Industrial Engineering & Automation
dc.subject.classification	40 Engineering
dc.subject.classification	46 Information and computing sciences
dc.subject.classification	49 Mathematical sciences
dc.title	Modelling forgetting due to intermittent production in mixed-model line scheduling
dc.type	Journal Article
utslib.for	01 Mathematical Sciences
utslib.for	08 Information and Computing Sciences
utslib.for	09 Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAM - Centre for Advanced Manufacturing
utslib.copyright.status	closed_access	*
dc.date.updated	2023-11-06T00:42:08Z
pubs.publication-status	Published

Abstract:

Forgetting effects occur whenever production is interrupted and workers lose previously acquired routine. Existing forgetting models primarily focused on the impacts of production breaks in single-product production environments. Consequently, forgetting models neglected times during which a different product type is produced despite being an important cause for forgetting in industrial mixed-model production. Therefore, this work extends existing forgetting models for application in mixed-model line scheduling models by considering times of intermittent production. These are modelled as interruptions in addition to production break interruptions. A routine loss factor is introduced that allows to partially consider times elapsed during which different products are processed. The higher the routine loss factor is, the higher the considered portion of the time elapsed due to intermittent production becomes and the higher becomes the amount of forgetting. Through means of simulation studies it is investigated how the routine loss factor affects the height of learning effects present and the line performance in terms of makespan and flow time. While sequence types with a higher degree of grouping are almost insensitive with respect to the height of the routine loss factor, sequences with no grouping are strongly affected. Depending on the height of the routine loss factor different sequence types are preferred. Hence, not modelling forgetting appropriately can lead to non-optimal schedules.

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http://hdl.handle.net/10453/173018