A Knowledge Graph-Based Decision Support System for Resilient Supply Chain Networks

被引:0
|
作者
Duggelin, Wilhelm [1 ]
Laurenzi, Emanuele [1 ]
机构
[1] FHNW Univ Appl Sci & Arts Northwestern Switzerlan, Riggenbachstr 16, CH-4600 Olten, Switzerland
关键词
Resilient Supply Chain Networks; Risk Aware Sourcing; Knowledge Graphs-based Decision-Support System; RISK; MODELS;
D O I
10.1007/978-3-031-59465-6_5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Events in recent years such as the Russo-Ukrainianwar of 2022 and the covid-19 pandemic have once again shown the importance of relying on resilient supply chain networks. The creation and maintenance of such networks is, however, a rather knowledge intensive task, which is still challenging. To tackle this, we introduce a first version of a knowledge graph-based decision support system aiming to help supply chain risk managers to make sourcing decisions. The system was designed by following the design science research methodology, which is supplemented with the Ontology Development 101 [25] for rigor in creation of the knowledge graph schema. Competency questions elicited with domain experts were used to evaluate the proposed system.
引用
收藏
页码:66 / 81
页数:16
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