Details
| Original language | English |
|---|---|
| Pages (from-to) | 73-81 |
| Number of pages | 9 |
| Journal | Production Engineering |
| Volume | 12 |
| Issue number | 1 |
| Publication status | Published - 8 Dec 2017 |
Abstract
Rising and increasingly volatile energy prices resulting from increased power feeds from renewable sources such as solar and wind energy are confronting manufacturers with new challenges. If these companies procure their power supplies at fluctuating short-term prices from electricity exchanges or through energy purchasing pools, they can influence the resulting energy costs through production control via its actuating variables while energy consumption remains constant. A form of sequencing that decides at short notice which order will be processed next shows particularly high potential. The energy price-oriented sequencing rule that is introduced in this article prioritises orders with a high energy requirement at times when energy prices are low and gives precedence to orders that require less energy at times when energy prices are high, without neglecting the scheduled completion deadline. However, this sequencing rule can only be applied effectively under certain preconditions. These are elaborated in this article by means of a simulation study that will confirm the way the rule functions.
Keywords
- Energy costs, Energy prices, Manufacturing control, Production planning and control, Sequencing
ASJC Scopus subject areas
- Engineering(all)
- Mechanical Engineering
- Engineering(all)
- Industrial and Manufacturing Engineering
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Production Engineering, Vol. 12, No. 1, 08.12.2017, p. 73-81.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Preconditions for applying an energy price-oriented sequencing rule
AU - Willeke, Stefan
AU - Prinzhorn, Henrik
AU - Stonis, Malte
AU - Nyhuis, Peter
N1 - Funding information: costs in manufacturing control algorithms” of the research association BVL is funded via the German Federation of Industrial Research Associations (AiF) in the program of Industrial Collective Research (IGF)
PY - 2017/12/8
Y1 - 2017/12/8
N2 - Rising and increasingly volatile energy prices resulting from increased power feeds from renewable sources such as solar and wind energy are confronting manufacturers with new challenges. If these companies procure their power supplies at fluctuating short-term prices from electricity exchanges or through energy purchasing pools, they can influence the resulting energy costs through production control via its actuating variables while energy consumption remains constant. A form of sequencing that decides at short notice which order will be processed next shows particularly high potential. The energy price-oriented sequencing rule that is introduced in this article prioritises orders with a high energy requirement at times when energy prices are low and gives precedence to orders that require less energy at times when energy prices are high, without neglecting the scheduled completion deadline. However, this sequencing rule can only be applied effectively under certain preconditions. These are elaborated in this article by means of a simulation study that will confirm the way the rule functions.
AB - Rising and increasingly volatile energy prices resulting from increased power feeds from renewable sources such as solar and wind energy are confronting manufacturers with new challenges. If these companies procure their power supplies at fluctuating short-term prices from electricity exchanges or through energy purchasing pools, they can influence the resulting energy costs through production control via its actuating variables while energy consumption remains constant. A form of sequencing that decides at short notice which order will be processed next shows particularly high potential. The energy price-oriented sequencing rule that is introduced in this article prioritises orders with a high energy requirement at times when energy prices are low and gives precedence to orders that require less energy at times when energy prices are high, without neglecting the scheduled completion deadline. However, this sequencing rule can only be applied effectively under certain preconditions. These are elaborated in this article by means of a simulation study that will confirm the way the rule functions.
KW - Energy costs
KW - Energy prices
KW - Manufacturing control
KW - Production planning and control
KW - Sequencing
UR - http://www.scopus.com/inward/record.url?scp=85037624733&partnerID=8YFLogxK
U2 - 10.1007/s11740-017-0782-z
DO - 10.1007/s11740-017-0782-z
M3 - Article
AN - SCOPUS:85037624733
VL - 12
SP - 73
EP - 81
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 1
ER -