Title: Justification of technological competency parameter using fuzzy-based simulation model

Authors: Harpreet Sharma; Chandandeep Singh; Kanwaljit Singh

Addresses: Yadavindra Department of Engineering, Punjabi University, Guru Kashi Campus, Talwandi Sabo, Punjab, India ' Department of Mechanical Engineering, Punjabi University, Patiala, India ' Department of Aerospace and Aeronautical Engineering, Punjab State Aeronautical Engineering Colleges, Patiala, Punjab, India

Abstract: The world in which firms operate is one that is rapidly getting more technologically advanced. Global firms are competing in India's manufacturing sector. To fulfil expected output, a wide range of potentially viable technologies is already in existence. In order to keep their competitive edge, companies must keep up with the state of manufacturing technology in terms of both capacity and competency. This article assesses the impact of technological competencies on the Indian manufacturing industry. The fuzzy inference system (fuzzy logic toolbox) is used in this study to assess the strategic impact of technological competencies. According to the results of MATLAB's fuzzy toolbox's fuzzy rule viewer and surface view tool, technological competency parameters have a positive impact on manufacturing performance. Top management support, technology adoption, and technological capability are significant predictors of Indian manufacturing performance.

Keywords: competency; technological competency; fuzzy inference system; FIS; business performance parameters.

DOI: 10.1504/IJPQM.2025.146579

International Journal of Productivity and Quality Management, 2025 Vol.45 No.1, pp.94 - 110

Received: 06 Jan 2023
Accepted: 09 Jul 2023
Published online: 05 Jun 2025 *

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