TY  - JOUR
A1  - Kallina, Dennis
A1  - Siegfried, Patrick
T1  - Optimization of supply chain network using genetic algorithms based on bill of materials
T2  - International Journal of Engineering & Science
N2  - The integration of genetic algorithms to optimize the networks of value chains could enormously improve the performance of supply chains. For this reason, this paper describes in more detail the application of genetic algorithms in the value chains of the automotive industry. For this purpose, a theoretical model is built up to evaluate whether the application of the model can optimize the value chain. This option is described, analyzed and its restrictions are shown. Instead of looking at the entire network, individual finished goods and their bill of material are used as a basis for optimization, which greatly reduces the complexity of the original problem. The original complexity of the supply chain networks can thus be reduced and considered based on the bill of material.
KW  - supply chain network
KW  - genetic algorithm
KW  - supply chain network optimization
KW  - Supply Chain Management
KW  - Wertschöpfungskette
KW  - Optimierung
KW  - Genetischer Algorithmus
KW  - Stückliste
Y1  - 2021
UR  - https://hst.opus.hbz-nrw.de/frontdoor/index/index/docId/232
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:tr5-2324
N1  - DOI-Angabe: 10.9790/1813-1007013747
zum Zeitpunkt des OPUS-Uploads inkorrekt oder noch nicht aktiviert
VL  - 10
IS  - 7
SP  - 37
EP  - 47
PB  - THE IJES
ER  -