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Breaking through the bottlenecks using artificial intelligence
Citation Link: https://doi.org/10.15480/882.2463
Publikationstyp
Conference Paper
Date Issued
2019-09-26
Sprache
English
Author(s)
TORE-DOI
TORE-URI
First published in
Number in series
27
Start Page
29
End Page
56
Citation
Hamburg International Conference of Logistics (HICL) 27: 29-56 (2019)
Contribution to Conference
Publisher
epubli
Purpose: Performance of Supply Chain is highly dependent on weak spots, so-called bottlenecks. This research paper presents the findings from the analysis of operation processes of a mid-sized producing company and the digital solution for opening up the bottlenecks in order to achieve effectiveness by cutting down the order lead time.
Methodology: The study is employing several rounds of simulation based on processes and data from a manufacturing company.
Findings: Simulation results demonstrate that by allowing a system to take autonomous decisions for production planning based on current changes in environment such as new customer order or available capacity, the order lead time can be shortened significantly, while granting additional flexibility and robustness to the whole supply chain.
Originality: The findings of this research reveal new insights on potentials of artificial intelligence in solving of existing issues within supply chain IT systems.
Methodology: The study is employing several rounds of simulation based on processes and data from a manufacturing company.
Findings: Simulation results demonstrate that by allowing a system to take autonomous decisions for production planning based on current changes in environment such as new customer order or available capacity, the order lead time can be shortened significantly, while granting additional flexibility and robustness to the whole supply chain.
Originality: The findings of this research reveal new insights on potentials of artificial intelligence in solving of existing issues within supply chain IT systems.
Subjects
Artificial intelligence
Assembly-to-order
Bottlenecks
Supply chain
DDC Class
330: Wirtschaft
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Feldt_Kontny_Wagenitz-Breaking_Through_the_Bottlenecks_Using_Artificial_Intelligence_hicl_2019.pdf
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