Details
| Original language | English |
|---|---|
| Pages (from-to) | 309-318 |
| Number of pages | 10 |
| Journal | Production Engineering |
| Volume | 14 |
| Issue number | 3 |
| Early online date | 5 Apr 2020 |
| Publication status | Published - Jun 2020 |
Abstract
Sales revenues of enterprises are often subject to seasonal fluctuation. This leads to high or low utilized resources and this in turn to revenue losses. Hence, the enterprises invest a high effort to improve long and short-term resource utilization. In this context, disregarding future capacity utilization within the process of quotation leads to short-timed capacity adjustments for instance, additional work hours across seasons. This paper presents an approach which focuses on dependencies between costs and capacity by linking cost pricing and production scheduling. A first evaluation at an MTO supplier shows that order delays can be reduced by up to 95% and total costs by 21% compared to using the most appropriate priority rule.
Keywords
- Cost, Decision making, Economics, Production planning, Scheduling
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
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In: Production Engineering, Vol. 14, No. 3, 06.2020, p. 309-318.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Optimization of delivery adherence based on capacity planning and bid pricing
AU - Denkena, Berend
AU - Dittrich, Marc-André
AU - Wilmsmeier, Sören
AU - Stamm, Siebo Claas
N1 - Funding Information: Open Access funding provided by Projekt DEAL. The authors thank the Federal Ministry of Education and Research of Germany (BMBF) for its financial and organizational support of the project “Dynamic capacity planning and control in manufacturing SME" (project “KaPro", 02P15K563).
PY - 2020/6
Y1 - 2020/6
N2 - Sales revenues of enterprises are often subject to seasonal fluctuation. This leads to high or low utilized resources and this in turn to revenue losses. Hence, the enterprises invest a high effort to improve long and short-term resource utilization. In this context, disregarding future capacity utilization within the process of quotation leads to short-timed capacity adjustments for instance, additional work hours across seasons. This paper presents an approach which focuses on dependencies between costs and capacity by linking cost pricing and production scheduling. A first evaluation at an MTO supplier shows that order delays can be reduced by up to 95% and total costs by 21% compared to using the most appropriate priority rule.
AB - Sales revenues of enterprises are often subject to seasonal fluctuation. This leads to high or low utilized resources and this in turn to revenue losses. Hence, the enterprises invest a high effort to improve long and short-term resource utilization. In this context, disregarding future capacity utilization within the process of quotation leads to short-timed capacity adjustments for instance, additional work hours across seasons. This paper presents an approach which focuses on dependencies between costs and capacity by linking cost pricing and production scheduling. A first evaluation at an MTO supplier shows that order delays can be reduced by up to 95% and total costs by 21% compared to using the most appropriate priority rule.
KW - Cost
KW - Decision making
KW - Economics
KW - Production planning
KW - Scheduling
UR - http://www.scopus.com/inward/record.url?scp=85082934701&partnerID=8YFLogxK
U2 - 10.1007/s11740-020-00959-8
DO - 10.1007/s11740-020-00959-8
M3 - Article
AN - SCOPUS:85082934701
VL - 14
SP - 309
EP - 318
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 3
ER -