Quality management control in a company in the food service sector with RPC curves and Multivariate Geometric Indicator

Main Article Content

Tomás José Fontalvo Herrera https://orcid.org/0000-0003-4642-9251
Katy Bedoya Puerta https://orcid.org/0009-0009-0892-3604

Keywords

Quality, RPC curves, geometric indicators, performance, Six Sigma

Abstract

Objective: this basic research aimed to evaluate the performance of a food service system using Process Performance Operation Curves (PPOC) and multivariate capability indicators. Method: the research was developed using a quantitative approach, in which the system was evaluated using RPC operating curves and multivariate geometric indicators. For this purpose, the process performance was measured in order to clearly visualize the capabilities and limitations of the system under study.  Results: the results evidenced the relevance of the tools applied to evaluate the service, by identifying improvement opportunities such as defect reduction and process capability analysis. Discussions: the usefulness of yield curves and multivariate capability indicators for optimizing food service management was highlighted. These tools allow the establishment of effective strategies that improve efficiency and operational quality. Conclusions: the relevance of Six Sigma metrics and statistical control systems to evaluate process performance in the foodservice context was verified.

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