BUSINESS & “INDUSTRY 4.0”

Augmented Analytics platform and Service 4.0 solution for service excellence

  • 1 Danlex 78 EOOD Research center, 430, blvd. Tsar Boris III, 1619 Sofia, Bulgaria
  • 2 Danlex 78 EOOD Research center, 430, blvd. Tsar Boris III, 1619 Sofia, Bulgaria; Sofia University “St. Kliment Ohridski”, Faculty of Physics, 5 J. Bourchier Blvd, 1164 Sofia, Bulgaria

Abstract

In the modern era, it is a challenge to develop a high-quality business product that adequately serves its real purpose, by implementing Machine Learning (ML) and Large Language Models (LLM), both generally defined as AI. For this reason, Danlex 78 proposes a multilayer approach for developing an augmented analytics platform and Service 4.0 solution to accomplish service excellence in x-ray inspection systems. In this approach, AI is important, but still just a tool for achieving targeted business goals. The complex ecosystem of business knowledge combined with science and technology leads to our working solution. This article presents our approach and marks the most important KPIs for achieving service excellence in X-ray inspection systems maintenance.

Keywords

References

  1. G. Nalbantov, D. Todorov, N Zografov, S. Georgiev, N. Bojilova: Predictive Maintenance Tool for Non-Intrusive Inspection Systems, arXiv:2103.01044 [cs.LG] (2021)
  2. P. Petkov, A. Zyapkov, N. Veselinov, K. Genkov, D. Todorov and N. Zografov: Thermal Monitoring for Condition Based Maintenance of an X-ray Generator, PoS BPU11 (2023) DOI: 10.22323/1.427.0270
  3. System For Automated Predictive Maintenance Of X-Ray Machines For Inspection Of Baggage, Cargo, Containers, Vehicles And Trains, Patent Application (2020) Link to BPO

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