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Analysis of Information Flow Characteristics in Shop Floor: State-of-the-Art and Future Research Directions for Developing Countries

Author

Listed:
  • André Marie Mbakop

    (National Advanced School of Engineering of Yaoundé (NASEY)
    Laboratory of Civil and Mechanical Engineering
    Department of Mechanical and Industrial Engineering)

  • Joseph Voufo

    (National Advanced School of Engineering of Yaoundé (NASEY)
    Laboratory of Civil and Mechanical Engineering
    Department of Mechanical and Industrial Engineering)

  • Florent Biyeme

    (National Advanced School of Engineering of Yaoundé (NASEY)
    Laboratory of Civil and Mechanical Engineering
    Department of Mechanical and Industrial Engineering)

  • Louise Angèle Ngozag

    (Laboratory of Civil and Mechanical Engineering
    National Committee for the Development of Technologies in the Ministry of Scientific Research and Innovation)

  • Lucien Meva’a

    (National Advanced School of Engineering of Yaoundé (NASEY)
    Laboratory of Civil and Mechanical Engineering
    Department of Mechanical and Industrial Engineering)

Abstract

The information flow in a company is a whole set of static or dynamic data obtained from communication used for the conception and realization of products; facing competition, every company aims at improving its performance to meet customer needs. The focus on information flow to improve the performances of companies has always been a major preoccupation in the research domain, which always contributes to the evolution of the analysis of information flow for companies to be more efficient. This article presents the state of the art on the analysis of information flow model based on information characteristics in shop floor manufacturing companies (known as advanced in technology) to ameliorate their performance and future research directions for small- and medium-sized manufacturing companies for developing countries to be more competitive and efficient.

Suggested Citation

  • André Marie Mbakop & Joseph Voufo & Florent Biyeme & Louise Angèle Ngozag & Lucien Meva’a, 2021. "Analysis of Information Flow Characteristics in Shop Floor: State-of-the-Art and Future Research Directions for Developing Countries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(1), pages 43-53, March.
  • Handle: RePEc:spr:gjofsm:v:22:y:2021:i:1:d:10.1007_s40171-020-00257-3
    DOI: 10.1007/s40171-020-00257-3
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    References listed on IDEAS

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    Cited by:

    1. André Marie Mbakop & Joseph Voufo & Florent Biyeme & Jean Raymond Lucien Meva’a, 2022. "Moving to a Flexible Shop Floor by Analyzing the Information Flow Coming from Levels of Decision on the Shop Floor of Developing Countries Using Artificial Neural Network: Cameroon, Case Study," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(2), pages 255-270, June.
    2. Murilo Catussi Almeida & Adilson Carlos Yoshikuni & Rajeev Dwivedi & Cláudio Luís Carvalho Larieira, 2022. "Do Leadership Styles Influence Employee Information Systems Security Intention? A Study of the Banking Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(4), pages 535-550, December.

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