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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

Author

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  • André Marie Mbakop

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

  • Joseph Voufo

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

  • Florent Biyeme

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

  • Jean Raymond Lucien Meva’a

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

Abstract

Performance improvement in manufacturing is the major target of small and medium size enterprises (SMEs) of developing countries. This performance has always been linked to the good management of information flow (MIF) which is also a key to transforming a non-flexible shop floor to a flexible one. The MIF in developing countries has always been accurate when characterizing the information flow. The good MIF is always based on the value of information flow (VIF). In this paper, we analyze the influence of the direction (decision-making levels or information from hierarchy’s offices) and also the dimension (medium) of information flow on VIF on the shop floor of developing countries, with Cameroon as a case study. The audit results obtained from shop floors show that, in developing countries such as Cameroon, there is still a great impact of the non-digital information flow in production operations, such as paper, audio, and visual information. The results also show that the collaboration between the personnel influences the production operations jobs on the shop floor as long as hierarchy’s levels of decision making are concerned. From the results obtained, a proposed model of information sharing depending on the direction and the dimension in a woodworking company is presented with a decision flowchart based on the VIF. The analyzed VIF with artificial neural network shows that SMEs can become efficient by considering the visual information at every job post. A shop floor can only become flexible when it has a good VIF.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:gjofsm:v:23:y:2022:i:2:d:10.1007_s40171-022-00299-9
    DOI: 10.1007/s40171-022-00299-9
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    References listed on IDEAS

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    3. Phan Chi Anh & Yoshiki Matsui, 2011. "Relationship between quality management information and operational performance," Management Research Review, Emerald Group Publishing Limited, vol. 34(5), pages 519-540, April.
    4. 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.
    5. Phan Chi Anh & Yoshiki Matsui, 2011. "Relationship between quality management information and operational performance," Management Research Review, Emerald Group Publishing Limited, vol. 34(5), pages 519-540, April.
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