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Modellbasierte Auftragsannahme und -terminierung

Citation Link: https://doi.org/10.15480/882.9517
Publikationstyp
Doctoral Thesis
Date Issued
2024
Sprache
German
Author(s)
Mundt, Christopher  orcid-logo
Advisor
Lödding, Hermann  
Referee
Nyhuis, Peter  
Title Granting Institution
Technische Universität Hamburg
Place of Title Granting Institution
Hamburg
Examination Date
2024-04-16
Institute
Produktionsmanagement und -technik M-18  
TORE-DOI
10.15480/882.9517
TORE-URI
https://hdl.handle.net/11420/47243
First published in
Wissen schafft Innovation  
Number in series
53
Citation
Wissen schafft Innovation 53: (2024)
Make-to-order companies have to deal with uncertainties while processing their offers. In the early phase of offer planning, it is uncertain (1) which open offers will be accepted by customers and (2) what capacities the resulting orders will require. Therefore, it is particularly challenging to determine realistic delivery times and to promise them bindingly. The model-based order acceptance and scheduling procedure allows to determine realistic delivery times with the help of early available information and by using the throughput diagram. An extensive evaluation of the procedure shows that it can effectively and robustly support logistical target achievement.
Subjects
Auftragsannahme und -terminierung
Produktionsplanung und -steuerung
Produktionsmanagement
Logistische Modellierung
Terminplanung
DDC Class
620: Engineering
670: Manufacturing
330: Economics
Funding(s)
Modellbasierte Auftragsannahme und -terminierung  
Funding Organisations
Deutsche Forschungsgemeinschaft (DFG)  
Lizenz
https://creativecommons.org/licenses/by/4.0/
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