Assessment of Performance and Industry Segmentation in the Manufacturing Sector: An Empirical Study

Authors

  • Harshita Kaushik Department of Computer Science & Engineering, Vivekananda Global University, Jaipur
  • Sweta Kumari Department of ISME, ATLAS SkillTech University, Mumbai, Maharashtra, India
  • B. P. Singh Maharishi University of Information Technology, Lucknow, India
  • Aravindan Munusamy Kalidhas JAIN (Deemed-to-be University), Karnataka, India
  • Sunila Choudhary Chitkara University, Rajpura, Punjab, India

Keywords:

(TIV-FT), Chi square (X2), Performance (PER), Segmenting, Manufacturing industries

Abstract

The Triangular Interval-Valued (TIV) Fuzzy TOPSIS (TIV-FT) Technique  had been in this research by investigators to categorize factories according to their efficiency. Utilizing a common survey with a simple randomization technique, they gathered information from 280 factories in Assam. The investigators used programmed to analyze the information. Confirmatory Factor Analysis (CFA), (TIV-FT)  Technique , Chi-square (X2) analysis, and Correspondent Analysis (CA) were among the analytical techniques they used. The examiners evaluated the contributions provided by various variables in influencing the performance (PER) of the manufacturing industries by considering factor loadings that are of the goods. The investigators divided the production sectors under three categories utilizing the (TIV-FT) Technique ology. Furthermore, they discovered within (X2)  analysis that five demographic characteristics of the respondents—namely, the amount from decades the organization had been in operation, the size of the sector, the sort of producing goods, the plenty of workers, or the position of the producing facility—were strongly linked to division from factories while the outcome. Using complex statistics including an examination of the impact of different economic and demographic features, the research's purpose was to offer suggestions for the success of factories in Assam.

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Published

24.03.2024

How to Cite

Kaushik, H. ., Kumari, S. ., Singh, B. P. ., Kalidhas, A. M. ., & Choudhary, S. . (2024). Assessment of Performance and Industry Segmentation in the Manufacturing Sector: An Empirical Study. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 774–781. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5209

Issue

Vol. 12 No. 19s (2024)

Section

Research Article

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