Details
| Original language | English |
|---|---|
| Pages (from-to) | 421-424 |
| Number of pages | 4 |
| Journal | CIRP Annals - Manufacturing Technology |
| Volume | 66 |
| Issue number | 1 |
| Publication status | Published - 1 Jan 2017 |
Abstract
When designing, planning and controlling an enterprise's internal supply chain, productivity and schedule reliability are two key objectives. Setup optimized order sequencing simultaneously impacts these objectives. Whereas productivity is positively influenced by setup optimized sequencing, increased lateness and thus lower schedule reliability need to be taken into account. Setup optimized sequencing therefore, leads to a target conflict. This paper describes the derivation of logistic models which support companies in positioning their workstations within this target conflict. These models quantify the impact of setup optimized sequencing on the two objectives in dependence on the control variable ‘work-in-process’.
Keywords
- Lateness, Productivity, Sequencing
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: CIRP Annals - Manufacturing Technology, Vol. 66, No. 1, 01.01.2017, p. 421-424.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Modelling the influence of setup optimized sequencing on lateness and productivity behaviour of workstations
AU - Nyhuis, Peter
AU - Mayer, Jonas
N1 - Funding information: This work is funded by the German Research Foundation (DFG) under reference number NY 4/58-1.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - When designing, planning and controlling an enterprise's internal supply chain, productivity and schedule reliability are two key objectives. Setup optimized order sequencing simultaneously impacts these objectives. Whereas productivity is positively influenced by setup optimized sequencing, increased lateness and thus lower schedule reliability need to be taken into account. Setup optimized sequencing therefore, leads to a target conflict. This paper describes the derivation of logistic models which support companies in positioning their workstations within this target conflict. These models quantify the impact of setup optimized sequencing on the two objectives in dependence on the control variable ‘work-in-process’.
AB - When designing, planning and controlling an enterprise's internal supply chain, productivity and schedule reliability are two key objectives. Setup optimized order sequencing simultaneously impacts these objectives. Whereas productivity is positively influenced by setup optimized sequencing, increased lateness and thus lower schedule reliability need to be taken into account. Setup optimized sequencing therefore, leads to a target conflict. This paper describes the derivation of logistic models which support companies in positioning their workstations within this target conflict. These models quantify the impact of setup optimized sequencing on the two objectives in dependence on the control variable ‘work-in-process’.
KW - Lateness
KW - Productivity
KW - Sequencing
UR - http://www.scopus.com/inward/record.url?scp=85018769721&partnerID=8YFLogxK
U2 - 10.1016/j.cirp.2017.04.008
DO - 10.1016/j.cirp.2017.04.008
M3 - Article
AN - SCOPUS:85018769721
VL - 66
SP - 421
EP - 424
JO - CIRP Annals - Manufacturing Technology
JF - CIRP Annals - Manufacturing Technology
SN - 0007-8506
IS - 1
ER -