Influencing factors analysis to determine standard time of operators in a gauge calibration process

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), a...

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Published in:Independent Journal of Management & Production 2018-01, Vol.9 (5), p.589-606
Main Authors: Faria, Karen Botelho, Santos, Ana Carla de Souza Gomes dos, Mendonça, Layanne Andrade, Reis, Augusto da Cunha, Salles, Sérgio Augusto Faria
Format: Article
Language:English
Subjects:
ANOVA
Employment
Industrial equipment
motion study
Normal distribution
Production capacity
Productivity
regression
Regression analysis
Repair & maintenance
Studies
time
Workers
Workloads
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container_end_page 606
container_issue 5
container_start_page 589
container_title Independent Journal of Management & Production
container_volume 9
creator Faria, Karen Botelho
Santos, Ana Carla de Souza Gomes dos
Mendonça, Layanne Andrade
Reis, Augusto da Cunha
Salles, Sérgio Augusto Faria
description 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.
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source ABI/INFORM Global (ProQuest); Publicly Available Content Database
subjects ANOVA
Employment
Industrial equipment
motion study
Normal distribution
Production capacity
Productivity
regression
Regression analysis
Repair & maintenance
Studies
time
Workers
Workloads
title Influencing factors analysis to determine standard time of operators in a gauge calibration process
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