Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 791-801 |
| Seitenumfang | 11 |
| Fachzeitschrift | Production Planning and Control |
| Jahrgang | 28 |
| Ausgabenummer | 10 |
| Publikationsstatus | Veröffentlicht - 10 Apr. 2017 |
Abstract
Productivity and schedule reliability are two key objectives when designing, planning and controlling an enterprise’s internal supply chain. Productivity can be increased by implementing set-up optimised order sequencing, which reduces the time and costs required for set-ups. However, since planned end-of-orderprocessing dates are ignored with set-up optimised sequencing, it tends to cause increased lateness and thus poorer schedule reliability. Accordingly, enterprises must weigh the highest possible productivity against a high schedule reliability. In this paper, we develop a logistic model that can be used by enterprises to facilitate describing the impact of set-up optimised sequencing on a workstation’s lateness behaviour. This logistic model depicts the extent of the output lateness’ standard deviation as a function of the mean WIP, mean workstation output and the input lateness’ standard deviation when applying set-up optimised sequencing. It is thus possible to quantitatively describe the effects of set-up optimised sequencing on the logistic objective ‘schedule reliability’ and compare possible productivity gains.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Angewandte Informatik
- Betriebswirtschaft, Management und Rechnungswesen (insg.)
- Strategie und Management
- Entscheidungswissenschaften (insg.)
- Managementlehre und Operations Resarch
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: Production Planning and Control, Jahrgang 28, Nr. 10, 10.04.2017, S. 791-801.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Describing the influence of set-up optimised sequencing on output lateness of workstations
AU - Mayer, Jonas
AU - Nyhuis, Peter
N1 - Funding information: This work was supported by the German Research Foundation [grant number NY 4/58-1].
PY - 2017/4/10
Y1 - 2017/4/10
N2 - Productivity and schedule reliability are two key objectives when designing, planning and controlling an enterprise’s internal supply chain. Productivity can be increased by implementing set-up optimised order sequencing, which reduces the time and costs required for set-ups. However, since planned end-of-orderprocessing dates are ignored with set-up optimised sequencing, it tends to cause increased lateness and thus poorer schedule reliability. Accordingly, enterprises must weigh the highest possible productivity against a high schedule reliability. In this paper, we develop a logistic model that can be used by enterprises to facilitate describing the impact of set-up optimised sequencing on a workstation’s lateness behaviour. This logistic model depicts the extent of the output lateness’ standard deviation as a function of the mean WIP, mean workstation output and the input lateness’ standard deviation when applying set-up optimised sequencing. It is thus possible to quantitatively describe the effects of set-up optimised sequencing on the logistic objective ‘schedule reliability’ and compare possible productivity gains.
AB - Productivity and schedule reliability are two key objectives when designing, planning and controlling an enterprise’s internal supply chain. Productivity can be increased by implementing set-up optimised order sequencing, which reduces the time and costs required for set-ups. However, since planned end-of-orderprocessing dates are ignored with set-up optimised sequencing, it tends to cause increased lateness and thus poorer schedule reliability. Accordingly, enterprises must weigh the highest possible productivity against a high schedule reliability. In this paper, we develop a logistic model that can be used by enterprises to facilitate describing the impact of set-up optimised sequencing on a workstation’s lateness behaviour. This logistic model depicts the extent of the output lateness’ standard deviation as a function of the mean WIP, mean workstation output and the input lateness’ standard deviation when applying set-up optimised sequencing. It is thus possible to quantitatively describe the effects of set-up optimised sequencing on the logistic objective ‘schedule reliability’ and compare possible productivity gains.
KW - Lateness
KW - Logistic modelling
KW - Logistics
KW - Set-up optimised sequencing
UR - http://www.scopus.com/inward/record.url?scp=85017213774&partnerID=8YFLogxK
U2 - 10.1080/09537287.2017.1314038
DO - 10.1080/09537287.2017.1314038
M3 - Article
AN - SCOPUS:85017213774
VL - 28
SP - 791
EP - 801
JO - Production Planning and Control
JF - Production Planning and Control
SN - 0953-7287
IS - 10
ER -