TY  - CONF
A1  - Berwing, Katharina
A1  - Schuh, Günther
A1  - Stich, Volker
A2  - Herberger, David
A2  - Hübner, Marco
T1  - Generation of a Data Model For Quotation Costing Of Make To Order Manufacturers From Case Studies
T2  - Proceedings of the Conference on Production Systems and Logistics: CPSL 2022
N2  - For contract or make to order manufacturers, quotation costing is a complex process that is mainly performed based on experience. Due to the high diversity of the product range of these mostly small or medium-sized companies (SMEs) and the poor data situation at the time of quotation preparation, the quality of the calculation is subject to strong variations and uncertainties. The gap between the initial quotation costing and the actual costs to be spent (pre- and post-calculation) is crucial to the existence of SMEs. Digitalization in general can help companies to get a better understanding of processes and to generate data. For improving these processes, an understanding of the important data for that specific process is crucial. Accurate quotation costing for customized products is time-consuming and resource-intensive, as there is a lack of an overview of data to be used within the process. This paper therefore derives a data model for supporting quotation costing in the company, based on literature-based costing procedures and recorded case studies for quotation and calculation. Based on the results, SMEs will have a first overview of the needed data for quotation costing to optimize their calculation process.
KW  - rev
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/1788
UR  - https://www.repo.uni-hannover.de/bitstream/handle/123456789/12258/Berwing-CPSL2022.pdf?sequence=1&isAllowed=y
SP  - 492
EP  - 503
PB  - publish-Ing.
CY  - Hannover
ER  -