An advisory system to support Industry 4.0 readiness improvement

Yevgeniy Lukhmanov, Dinara Dikhanbayeva, Bauyrzhan Yertayev, Essam Shehab, Ali Turkyilmaz

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)


Industry 4.0 requires companies to go through a complex transformation. Numerous maturity models offer to measure the readiness of an enterprise for the transition to a new operation mode. However, there is a lack of research efforts in developing an advisory tool for digital readiness improvement recommendations. This study aims to create a systematic approach for building an advisory decision support system based on Industry 4.0 Maturity Models. The development of the proposed system has gone through three stages, including analysis of the existing maturity models, reviewing the development methods of decision-support systems, and industrial interactions with manufacturing companies via the project online recommendation tool. The developed advisory system provides I4.0 readiness recommendations based on industry best practices, integration of recommendation databases with a maturity model, information filtration algorithm, and weight-based prioritisation of suggestions. Moreover, an interactive and user-friendly interface was developed to enable the user to utilise the system easily and efficiently.

Original languageEnglish
Pages (from-to)1361-1366
Number of pages6
JournalProcedia CIRP
Publication statusPublished - 2022
Event55th CIRP Conference on Manufacturing Systems, CIRP CMS 2022 - Lugano, Switzerland
Duration: Jun 29 2022Jul 1 2022


  • Advisory system
  • COMMA 4.0
  • Expert system
  • Industry 4.0
  • Maturity models

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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