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Supply Chain Quality Improvement Based on Customer Compliance

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Technological Innovation for Connected Cyber Physical Spaces (DoCEIS 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 678))

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Abstract

Current research is focused on topics of interest in the digital transformation of the supply chain, data analytics and system automation perspectives. The study aims to test the hypothesis that real-time information on the supply chain could be used to improve customer service quality and lead to a more reliable supply chain. Research is done to analyse supply chain performance using SCOR-based KPI model. The Integration of the methods presented in the study focuses on a solution that minimises supply chain failures, decreases failure elimination time, and improves customer satisfaction. Originality is that the proposed mechanism, is based on the Supply Chain Operations Reference (SCOR) model and Bayesian Belief Network (BBN) to estimate the influence of KPI metrics improvements on Supply Chain efficiency. Along that using the network of interconnected KPI-s, solution will show which operational level best practices influence the strategic level metrices the most.

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Acknowledgement

This research has been financed by the European Social Fund via the IT Academy programme.

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Authors and Affiliations

  1. University of Tartu, Ãœlikooli 18, 50090, Tartu, Estonia

    Rene Maas, Eduard Shevtshenko & Tatjana Karaulova

  2. TTK UAS, Pärnu Mnt 62A, 10135, Tallinn, Estonia

    Rene Maas & Eduard Shevtshenko

  3. Tallinn University of Technology, Ehitajate Tee 5, 19086, Tallinn, Estonia

    Tatjana Karaulova

Authors
  1. Rene Maas
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  2. Eduard Shevtshenko
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  3. Tatjana Karaulova
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Corresponding author

Correspondence to Rene Maas .

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Editors and Affiliations

  1. School of Science and Technology, NOVA University of Lisbon, Monte Caparica, Portugal

    Luis M. Camarinha-Matos

  2. School of Science and Technology, NOVA University of Lisbon, Monte Caparica, Portugal

    Filipa Ferrada

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Maas, R., Shevtshenko, E., Karaulova, T. (2023). Supply Chain Quality Improvement Based on Customer Compliance. In: Camarinha-Matos, L.M., Ferrada, F. (eds) Technological Innovation for Connected Cyber Physical Spaces. DoCEIS 2023. IFIP Advances in Information and Communication Technology, vol 678. Springer, Cham. https://doi.org/10.1007/978-3-031-36007-7_17

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  • DOI: https://doi.org/10.1007/978-3-031-36007-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36006-0

  • Online ISBN: 978-3-031-36007-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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