Resumen
The present investigation was carried out in a food manufacturing company in Metropolitan Lima, specifically in the
Meats and sausages industry category. The investigation is focused on three stuffing machines within the sausage
production line. The problem is the low overall efficiency expressed by the OEE indicator, which initially was an
average of 60.479% for the three stuffing machines, compared to the world-class OEE, which according to Nakajima,
is 85%. In order to improve the OEE indicator, the company implemented the use of Shoplogix software and applied
lean manufacturing methodologies in its sausage production lines. Due to this, the main objective was to describe the
impact generated by implementing lean manufacturing methodologies in the OEE. For this, information was collected
from primary sources for four weeks, and historical data of four years was used on the OEE indicator, and the main
problems detected in the stuffing machines. Finally, normality and Student's t-tests were performed, showing that
implementing lean manufacturing methodologies positively impacted the OEE, increasing an average of 5.9583%. It
was also shown that the software-generated implementation significantly changed the OEE's data collection and
calculation. This improvement is translated into more than 2 million dollars in savings from its implementation until
2021.
Meats and sausages industry category. The investigation is focused on three stuffing machines within the sausage
production line. The problem is the low overall efficiency expressed by the OEE indicator, which initially was an
average of 60.479% for the three stuffing machines, compared to the world-class OEE, which according to Nakajima,
is 85%. In order to improve the OEE indicator, the company implemented the use of Shoplogix software and applied
lean manufacturing methodologies in its sausage production lines. Due to this, the main objective was to describe the
impact generated by implementing lean manufacturing methodologies in the OEE. For this, information was collected
from primary sources for four weeks, and historical data of four years was used on the OEE indicator, and the main
problems detected in the stuffing machines. Finally, normality and Student's t-tests were performed, showing that
implementing lean manufacturing methodologies positively impacted the OEE, increasing an average of 5.9583%. It
was also shown that the software-generated implementation significantly changed the OEE's data collection and
calculation. This improvement is translated into more than 2 million dollars in savings from its implementation until
2021.
| Idioma original | Español (Perú) |
|---|---|
| Título de la publicación alojada | 3rd South American International Conference on Industrial Engineering and Operations Management |
| Páginas | 1716-1726 |
| Número de páginas | 11 |
| DOI | |
| Estado | Publicada - 19 jul. 2022 |
| Evento | Proceedings of the 3rd South American International Industrial Engineering and Operations Management Conference, Asuncion, Paraguay, July 19-21, 2022 - Universidad Nacional de Asunción - Paraguay, Asunción, Paraguay Duración: 19 jul. 2022 → 21 jul. 2022 Número de conferencia: 3 http://ieomsociety.org/paraguay2022/proceedings/ |
Conferencia
| Conferencia | Proceedings of the 3rd South American International Industrial Engineering and Operations Management Conference, Asuncion, Paraguay, July 19-21, 2022 |
|---|---|
| Título abreviado | IEOM Paraguay 2022 |
| País/Territorio | Paraguay |
| Ciudad | Asunción |
| Período | 19/07/22 → 21/07/22 |
| Dirección de internet |
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