Abstract
Companies seek to improve service level, aiming to meet the most demanding customers that enable it survives in a complex and competitive marketplace. The article presents a study in a company of repair and maintenance of industrial equipment and instruments, located in Campos dos Goytacazes (RJ), aiming to identify the factors that influence the execution time of the operators' activities in the manometer calibration process. For this scope, the study of times and movements and statistical analyzes, such as Linear Regression and ANOVA, were applied. The survey revealed that operators who have completed their technical courses in mechanics perform the activities in standard time greater than those who have not yet completed and that working on board and being married do not change the execution time. It also revealed that employees of lower age and longer experience are preferable because of shorter operating times and that the age was statistically significant, revealing that the most appropriate age to have a shorter time is approximately 27 years.
Highlights
Service sector has faced a decrease of 3.2% on volume of services rendered in July 2017 in comparison with the same month a year ago and a decrease of 0.8% in comparison with its previous month (IBGE, 2017)
Time and motion study was performed and the calibration time of the manometer was measured considering five employees who were observed during the process
This case study presented the application of time and motion study, in association with the statistical techniques Analysis of Variance (ANOVA) and linear regression, in the process of manometer calibration, in the city of Campos dos Goytacazes/RJ
Summary
Service sector has faced a decrease of 3.2% on volume of services rendered in July 2017 in comparison with the same month a year ago and a decrease of 0.8% in comparison with its previous month (IBGE, 2017). Companies at a high level of competitiveness are aiming to meet customer requirements and remain survivor in the marketplace. Some standardization tools such as time and motion study (TMS), first proposed by Frederick Taylor, provides competitiveness for a company and is still currently applied in several organizations (NOVASKI; SUGAI, 2002; SILVA; GUIMARÃES; VERALDO JÚNIOR, 2014; SIMÕES; FENNER; ESPERANCINI, 2014). It is extremely important to find out what are the factors that influence this performance time. This sort of analysis is possible through statistical techniques, such as ANOVA (for qualitative data) and Linear Regression (for quantitative data)
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