Nour Ramzy, Hans Ehm, Sandra Durst, Konstanze Wibmer, and Werner Bick
Knowgraph-TT: Knowledge-Graph-Based Transit Time Matching in Semiconductor Supply Chains
The semiconductor supply chain is characterized by a global and complex production network in a competitive market. The time when work at one location ends and can be resumed at another is defined as Transit Time (TT). Therefore, planning Transit Time accurately and minimizing delays is crucial as it is used in the execution system to determine the Available to Promise (ATP) and thus important for daily order confirmation. By determining the ATP, the customer receives a response to the resource availability and a due date to the customer requests. Due to tool inherent differences, we choose semantic integration via Knowledge Graph (KG) to match the planned TT used in the execution system and the actual TT measured in the monitoring tool. KnowGraph-TT thereby serves as a role model for further matching and alignment tasks using KG. It connects actual and planned TT, highlights the gaps via applied queries, and enables an optimized update of planned TT. With our solution, deviations of actual and planned TT can be minimized and confirmations of unrealizable deliverable times are avoided.
Please cite this paper the following way:
Nour Ramzy, Hans Ehm, Sandra Durst, Konstanze Wibmer, and Werner Bick, "Knowgraph-TT: Knowledge-Graph-Based Transit Time Matching in Semiconductor Supply Chains", Infocommunications Journal, Vol. XIV, No 1, March 2022, pp. 51-58., https://doi.org/10.36244/ICJ.2022.1.7