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Digitalisation of supply chain management system for customer quality service improvement

Shevtshenko Eduard, Maas Rene, Murumaa Lea, Karaulova Tatjanja, Raji Ibrahim Oluwole, Popell Janek

Journal of Machine Engineering

2022

Vol. 22, No. 3

78--90

The main idea of the current research is to apply customer satisfaction level Key Performance Indicators (KPIs) for supply chain reliability improvement. The Supply Chain Operations Reference (SCOR) model-based KPI metrics increase the quality of product/service by monitoring, visualising, and digitalising directly involved processes. In the long run, the solution will ultimately help reduce/eliminate the number of customer reclamations in the supply chain. An industry-oriented performance measurement model based on SCOR can be easily adapted for different sectors. The approach proposed in the current research is based on identifying key factors of supply chain performance of the SCOR model connected with the predictive and diagnostic capability of Bayesian Believe Networks. The difference in performance can be reached via applying the best practices to processes, affecting the performance on a larger scale.