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Analysis and estimation of complexity level in industrial firms

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  • Ibrahim H. Garbie
  • Ashraf Shikdar

Abstract

Nowadays, industrial firms require a reduction in their complexity. Complexity in industrial firms presents a new challenge in this decade, especially, during the global recession. Estimation of the level of complexity in industrial firms is still unclear due to the difficulty of analysis of important issues. This research will put a framework to in-depth analysis of these issues and concepts to estimate the expected complexity level in industrial firms. In this paper, a fuzzy logic approach was proposed to estimate the complexity level of the industrial organisations and a computer software package was created to manipulate a huge amount of collected data. Several case studies were conducted to obtain a clear understanding of the causes of complexity in industrial organisations to demonstrate the proposed methodology of analysis and estimation. The results show that the complexity of industrial organisations is still an ill-structured multi-dimensional problem and needs more attention from manufacturers and academics.

Suggested Citation

  • Ibrahim H. Garbie & Ashraf Shikdar, 2011. "Analysis and estimation of complexity level in industrial firms," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 8(2), pages 175-197.
    • Handle: RePEc:ids:ijisen:v:8:y:2011:i:2:p:175-197
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    Cited by:

    1. Germán Herrera Vidal & Jairo R. Coronado-Hernández & Claudia Minnaard, 2023. "Measuring manufacturing system complexity: a literature review," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 2865-2888, October.
    2. Ruiz-Hernández, Diego & Menezes, Mozart B.C. & Amrani, Aicha, 2019. "An information-content based measure of proliferation as a proxi for structural complexity," International Journal of Production Economics, Elsevier, vol. 212(C), pages 78-91.

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