STATISTICAL QUALITY CONTROL IN A SUPERMARKET CHAIN OF RIO GRANDE DO NORTE, BRAZIL

Abstract

Purpose: This article aims to analyze the level of losses due to damage in a supermarket chain to understand the reason for these occurrences. Methodology/Approach: From data collected in May 2018, a survey of the most critical departments and items with the highest percentage of losses was performed and statistical control was applied from the p graph. A case study in the capital of Rio Grande do Norte. Findings: It was found that 84.6% of losses were concentrated in the meat, dairy, beverages, eggs and grocery departments. It was also found that the fraction non-conforming of losses is out of statistical control, which led to the interruption of monitoring. Research Limitation/implication: The data provided by the company, as the reason for each breakdown of the items was not informed. Thus, without this information, quality control was interrupted. Originality/Value of paper: This work lies in the gap of the Brazilian literature on the application of statistical quality control in losses by damaged products in a supermarket chain, since there are numerous studies that analyzed losses in supermarkets in Brazil. None of them performed damage monitoring, using the control chart p.