Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 593-598 |
| Seitenumfang | 6 |
| Fachzeitschrift | Procedia CIRP |
| Jahrgang | 33 |
| Publikationsstatus | Veröffentlicht - 2 Juli 2015 |
| Veranstaltung | 9th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2014 - Capri, Italien Dauer: 23 Juli 2014 → 25 Juli 2014 |
Abstract
Providing their customers with the most accurate pricing has become one of the key competitive factors ensuring commercial success for tool and mould manufacturers. However, time dynamic costs influence the pricing calculations significantly, indeed, they are rarely taken into consideration adequately. This paper presents an approach which allows to improve conventional tool performances by developing a novel forecasting method which combines mechanisms related to the stock market with techniques of stochastic prediction methods.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Steuerungs- und Systemtechnik
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: Procedia CIRP, Jahrgang 33, 02.07.2015, S. 593-598.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Stock-Market Related Price Determination in Consideration of Time Dynamic Cost Factors
AU - Nemeti, Andrea
AU - Denkena, Berend
N1 - Funding information: The authors thank the German Research Foundation in the framework of the project DE 447/72-3 for the support.
PY - 2015/7/2
Y1 - 2015/7/2
N2 - Providing their customers with the most accurate pricing has become one of the key competitive factors ensuring commercial success for tool and mould manufacturers. However, time dynamic costs influence the pricing calculations significantly, indeed, they are rarely taken into consideration adequately. This paper presents an approach which allows to improve conventional tool performances by developing a novel forecasting method which combines mechanisms related to the stock market with techniques of stochastic prediction methods.
AB - Providing their customers with the most accurate pricing has become one of the key competitive factors ensuring commercial success for tool and mould manufacturers. However, time dynamic costs influence the pricing calculations significantly, indeed, they are rarely taken into consideration adequately. This paper presents an approach which allows to improve conventional tool performances by developing a novel forecasting method which combines mechanisms related to the stock market with techniques of stochastic prediction methods.
KW - Forecasting
KW - Manufacturing
KW - Pricing calculation
KW - Stock market
KW - Time dynamic costs
UR - http://www.scopus.com/inward/record.url?scp=84939812895&partnerID=8YFLogxK
U2 - 10.1016/j.procir.2015.06.091
DO - 10.1016/j.procir.2015.06.091
M3 - Conference article
AN - SCOPUS:84939812895
VL - 33
SP - 593
EP - 598
JO - Procedia CIRP
JF - Procedia CIRP
SN - 2212-8271
T2 - 9th CIRP International Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2014
Y2 - 23 July 2014 through 25 July 2014
ER -