Measuring the Variation of an Industrial Staple Manufacturing Process under 3-Dimensional Uncertainty Functions
2024 International Conference on Decision Aid Sciences and Applications, DASA 2024, Manama, Bahreyn, 11 - 12 Aralık 2024, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/dasa63652.2024.10836465
- Basıldığı Şehir: Manama
- Basıldığı Ülke: Bahreyn
- Anahtar Kelimeler: fuzzy logic, manufacturing, Picture fuzzy sets, variable control chart
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
In the context of industrial staple manufacturing, maintaining high-quality standards is essential to ensure product consistency and dependability. Traditional statistical quality control (SQC) methods, such as X-s control charts, are often employed to monitor and control these processes. However, these methods may fall short in handling uncertainty and imprecise data observed in real-world manufacturing environments. This study introduces a novel approach by integrating picture fuzzy sets (PFSs) into X-s variable control charts (VCCs) to enhance their sensitivity and robustness in detecting variations in the manufacturing process. Since PFSs, characterized by membership, non-membership, and hesitancy functions, provide a more comprehensive framework for representing uncertainty, we aim to establish a more sensitive method for quality control, accommodating both quantitative measurements and qualitative judgments by incorporating it. The proposed picture fuzzy X-s control chart is applied to monitor mass variations in industrial staples, demonstrating their effectiveness in distinguishing in-control and out-of-control states, thereby offering a more flexible and informative approach to process monitoring and decision-making.