Analysis and estimation of complexity level in industrial firms

Ibrahim H. Garbie, Ashraf Shikdar

Research output: Contribution to journalArticle

17 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)175-197
Number of pages23
JournalInternational Journal of Industrial and Systems Engineering
Volume8
Issue number2
DOIs
Publication statusPublished - Jul 2011

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Software packages
Fuzzy logic

Keywords

  • Complexity of manufacturing systems
  • Performance measurements

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

Cite this

Analysis and estimation of complexity level in industrial firms. / Garbie, Ibrahim H.; Shikdar, Ashraf.

In: International Journal of Industrial and Systems Engineering, Vol. 8, No. 2, 07.2011, p. 175-197.

Research output: Contribution to journalArticle

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