Enhancing Production Automotive Industry Performance with Ishikawa's 5M Method and Fuzzy Logic

Abstract

The digitalization in the dynamic landscape of the automotive industry, achieving optimal production processes is a fundamental imperative. This article delves into a robust approach that combines Ishikawa's 5M method and fuzzy logic to significantly enhance production performance. The 5M method, encompassing Manpower, Machinery, Material, Method, and Measurement, serves as the foundational framework for dissecting factors influencing production. Meanwhile, fuzzy logic, a contemporary mathematical framework, introduces flexibility to decision-making in handling complex, uncertain variables.

The assessment of Manpower Expertise, Machinery Condition, Material Quality, Method Efficiency, and Measurement Accuracy is essential. In the automotive industry, the proficiency of the workforce, machine reliability, material quality, operational efficiency, and precision of measurements collectively define success. Ishikawa's 5M method offers a structured approach to dissecting and addressing these crucial elements.

Fuzzy logic, on the other hand, bridges the gap between qualitative assessments and quantifiable outputs. By assigning linguistic variables and membership functions, it allows for nuanced analysis. Rule-based decision-making in fuzzy logic draws connections between input and output variables, aiding in the interpretation of complex relationships. This adaptive system evolves with time, enhancing its accuracy and predictive capabilities.

The integration of Ishikawa's 5M method and fuzzy logic results in a powerful tool for enhancing production performance. Quality, productivity, safety, and customer satisfaction—integral outcomes in the automotive industry—are no longer subjective measures. Instead, they are quantified, analyzed, and optimized through a synergistic approach. By leveraging both time-tested methodologies and modern techniques, manufacturers can navigate the challenges of the industry and usher in a new era of excellence.

This article serves as a guide to harnessing the potential of Ishikawa's 5M method and fuzzy logic in achieving remarkable production performance in the automotive industry. Through a deeper understanding of the interplay between human expertise, machinery reliability, material quality, method efficiency, and measurement accuracy, coupled with the dynamic capabilities of fuzzy logic, manufacturers are empowered to elevate their production processes to unparalleled heights.

Keywords: Ishikawa, 5M, Fuzzy logic, automotive industry, performance.

Received Date: June 19, 2026

Accepted Date: July 10, 2026

Published Date: August 01, 2026

Available Online at: https://www.ijsrisjournal.com/index.php/ojsfiles/article/view/867