Details
Original language | English |
---|---|
Pages (from-to) | 26-29 |
Number of pages | 4 |
Journal | Manufacturing Letters |
Volume | 36 |
Early online date | 20 Jan 2023 |
Publication status | Published - Jul 2023 |
Abstract
Employees in production systems need to be trained to be able to work at a determined number of different workstations to ensure functional flexibility. Repetitive deployment at the same workstation leads to an increase of practice effects. For prediction purposes, knowledge about interrelations to anticipate a probable course of competence development and potential losses is required. This letter examines literature to interconnect influencing factors which have an impact on the role of practice within competence development of production tasks. We propose a mathematical function as a basis for future research activities which can be used to achieve more accurate predictions.
Keywords
- Employee deployment, Learning behaviour, Practice effects, Prediction, Production tasks
ASJC Scopus subject areas
- Engineering(all)
- Mechanics of Materials
- Engineering(all)
- Industrial and Manufacturing Engineering
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Manufacturing Letters, Vol. 36, 07.2023, p. 26-29.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - A theoretical approach for considering practice effects when determining deployment schedules
AU - Ast, Jonas
AU - Nyhuis, Peter
N1 - Funding Information: This publication is written as part of the project ”teamIn”. The research and development project is funded by the German Federal Ministry of Education and Research (BMBF) and the European Social Fund (ESF) within the program ”Future of Work” (Grant No.: 02L18A140) and is managed by the Project Management Agency Karlsruhe (PTKA). The authors are responsible for the content of this publication.
PY - 2023/7
Y1 - 2023/7
N2 - Employees in production systems need to be trained to be able to work at a determined number of different workstations to ensure functional flexibility. Repetitive deployment at the same workstation leads to an increase of practice effects. For prediction purposes, knowledge about interrelations to anticipate a probable course of competence development and potential losses is required. This letter examines literature to interconnect influencing factors which have an impact on the role of practice within competence development of production tasks. We propose a mathematical function as a basis for future research activities which can be used to achieve more accurate predictions.
AB - Employees in production systems need to be trained to be able to work at a determined number of different workstations to ensure functional flexibility. Repetitive deployment at the same workstation leads to an increase of practice effects. For prediction purposes, knowledge about interrelations to anticipate a probable course of competence development and potential losses is required. This letter examines literature to interconnect influencing factors which have an impact on the role of practice within competence development of production tasks. We propose a mathematical function as a basis for future research activities which can be used to achieve more accurate predictions.
KW - Employee deployment
KW - Learning behaviour
KW - Practice effects
KW - Prediction
KW - Production tasks
UR - http://www.scopus.com/inward/record.url?scp=85147333251&partnerID=8YFLogxK
U2 - 10.1016/j.mfglet.2022.12.005
DO - 10.1016/j.mfglet.2022.12.005
M3 - Article
AN - SCOPUS:85147333251
VL - 36
SP - 26
EP - 29
JO - Manufacturing Letters
JF - Manufacturing Letters
SN - 2213-8463
ER -