Testing quality based on asymmetric capability index Cpmk and its pharmaceutical application
Communications in Statistics - Theory and Methods, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1080/03610926.2026.2719756
- Dergi Adı: Communications in Statistics - Theory and Methods
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, MathSciNet, zbMATH, Academic Search Ultimate (EBSCO), Business Source Ultimate (EBSCO), Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Anahtar Kelimeler: asymmetric specification limits, Monte Carlo simulation, process capability index Cpmk, Testing quality
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
Statistical hypotheses testing is a useful technique for determining the level of the production process capability. Testing the process capability index (Formula presented.) can be very challenging due to the complexity of the distribution of its natural estimator, even if the underlying distribution is normal. To handle processes with asymmetric specification limits, this paper proposes a simulated Monte Carlo test on capability index (Formula presented.) based on its natural estimator. Detailed steps of an algorithm are provided to simulate the components for making a reliable decision in testing quality. Furthermore, a real application is investigated in a pharmaceutical company to demonstrate how the proposed simulation approach performs.