A new probability-based multivariate process capability index

Khadse, Kailas Govinda; Shinde, Ramkrishna L.

doi:10.1504/ijqet.2021.116757

Cited by 4 publications

(1 citation statement)

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“…From a multivariate approach to statistical quality control, other authors such as Casacci and Pareto (2022), Fontalvo, et al (2021a), and Khadse, et al (2021, in their studies have used multivariate capability indicators as an integral part in the evaluation of the quality dimensions of goods and services. Thus, showing the relationship between the actual performance of the process and the tolerance limits of customer specifications.…”

Section: Discussionmentioning

confidence: 99%

Global Performance Evaluation Based on Multivariable Statistical Control of a Public Utility Company

Maturana,

Herrera

2023

Pesqui. Oper.

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In this research article, the service provision in a public company was evaluated through multivariate statistical control to determine the performance of its dimensions. For this purpose, the methodology used was: 1) characterization of the information associated with the quality dimensions provided, through consolidated databases recognized for their high level of quality, such as: Elsevier, Inderscience, among others; 2) calculation of Six Sigma metrics (DPMO, Z-level and performance), which will allow from a monthly average, to evaluate the quality of the service provided by the company in a timely and periodic manner in the 12 periods of 2019; 3) Evaluation of the performance of the service dimensions in a global and comprehensive manner, through multivariate analysis. Finally, the quality of the company's service is presented. Thus, allowing the control and continuous improvement of the processes, through its prompt replanting.

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Section: Discussionmentioning

confidence: 99%