Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 165-173 |
Seitenumfang | 9 |
Fachzeitschrift | Production Engineering |
Jahrgang | 8 |
Ausgabenummer | 1-2 |
Frühes Online-Datum | 3 Dez. 2013 |
Publikationsstatus | Veröffentlicht - März 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, pricing is characterised by an inconsistent and subjective supply calculation, particularly in the customised production area. In addition, even though time dynamic costs influence the pricing calculations significantly, they are rarely taken into consideration adequately. This can lead to an increasing deviation between the pre- and post-calculation and, thus, to losses of the enterprise benefits. This paper presents an approach, which allows tool and mould manufacturers to calculate their pricing in relation to time dynamic costs. Starting from the identification of suitable time dynamic cost parameters, an appropriate prediction tool to forecast these costs is developed. Based on an enterprise-related aggregation of knowledge, this approach permits propositions concerning the probability of occurrence of the estimated price. Furthermore, the realisation of the method in a user-friendly software surface and its validation will be presented.
ASJC Scopus Sachgebiete
- Ingenieurwesen (insg.)
- Maschinenbau
- Ingenieurwesen (insg.)
- Wirtschaftsingenieurwesen und Fertigungstechnik
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in: Production Engineering, Jahrgang 8, Nr. 1-2, 03.2014, S. 165-173.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Time-oriented pricing for the tool and mould manufacturing industry
AU - Nemeti, A.
AU - Denkena, B.
N1 - Funding information: Acknowledgments The authors would like to thank the German Research Foundation in the framework of the project ‘‘Dynamic Calculation’’, Grant Number: DE 447/73-1 for the support.
PY - 2014/3
Y1 - 2014/3
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, pricing is characterised by an inconsistent and subjective supply calculation, particularly in the customised production area. In addition, even though time dynamic costs influence the pricing calculations significantly, they are rarely taken into consideration adequately. This can lead to an increasing deviation between the pre- and post-calculation and, thus, to losses of the enterprise benefits. This paper presents an approach, which allows tool and mould manufacturers to calculate their pricing in relation to time dynamic costs. Starting from the identification of suitable time dynamic cost parameters, an appropriate prediction tool to forecast these costs is developed. Based on an enterprise-related aggregation of knowledge, this approach permits propositions concerning the probability of occurrence of the estimated price. Furthermore, the realisation of the method in a user-friendly software surface and its validation will be presented.
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, pricing is characterised by an inconsistent and subjective supply calculation, particularly in the customised production area. In addition, even though time dynamic costs influence the pricing calculations significantly, they are rarely taken into consideration adequately. This can lead to an increasing deviation between the pre- and post-calculation and, thus, to losses of the enterprise benefits. This paper presents an approach, which allows tool and mould manufacturers to calculate their pricing in relation to time dynamic costs. Starting from the identification of suitable time dynamic cost parameters, an appropriate prediction tool to forecast these costs is developed. Based on an enterprise-related aggregation of knowledge, this approach permits propositions concerning the probability of occurrence of the estimated price. Furthermore, the realisation of the method in a user-friendly software surface and its validation will be presented.
KW - Forecasting
KW - Prediction markets
KW - Quotation costing
KW - Time-dynamic costs
UR - http://www.scopus.com/inward/record.url?scp=84897580514&partnerID=8YFLogxK
U2 - 10.1007/s11740-013-0515-x
DO - 10.1007/s11740-013-0515-x
M3 - Article
AN - SCOPUS:84897580514
VL - 8
SP - 165
EP - 173
JO - Production Engineering
JF - Production Engineering
SN - 0944-6524
IS - 1-2
ER -