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Reduction of Waste Generation Using Lean Manufacturing in a Peruvian Craft Brewery. An Empirical Review

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Fecha
2023
Autor(es)
Flores Pérez, Alberto Enrique
Espinoza Berrocal, Roman Alejandro
Vilchez Peralta, Bruno Gustavo
Metadatos
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Resumen
The craft brewery sector is growing in the alcoholic beverage market; however, they face high costs and limitations that limit its growth. This is because companies in this sector are SMEs and need to be more efficient in their efforts. The main causes of the generation of waste that affects the profitability of the company are non-standard work procedures, inadequate plant design, and poor order and cleanliness. For this reason, this research aims to reduce waste generation through the implementation of Lean Manufacturing tools: Standard Work, 5S and Poka Yoke, and Systematic Layout Planning (SLP). To validate the success of the implementation of these tools, the simulation software was used. The validation consisted in two scenarios, the current and the proposed with improvement. After the simulation, the results were the following: first, the amount of wasted beer was reduced from 5,029 litres to 2,3708 litres. Secondly, efficiency increased from 76.14% to 82.17%. The loss of annual sales due to waste was reduced from PEN 179,030.35 to PEN 83,173.90. Therefore, the project is considered successful.
URI
https://hdl.handle.net/20.500.12724/18515
DOI
https://doi.org/10.1145/3587889.3587902
Cómo citar
Flores-Perez, A., Espinoza-Berrocal, R. & Vilchez-Peralta, B. (2023). Reduction of Waste Generation Using Lean Manufacturing in a Peruvian Craft Brewery. An Empirical Review. In Proceedings of the 2023 10th International Conference on Industrial Engineering and Applications (pp. 78-83). https://doi.org/10.1145/3587889.3587902
Editor
Association for Computing Machinery
Temas
Productividad
Cerveza
Bebidas alcohólicas
Gestión de residuos
Producción eficiente
Productivity
Beer
Alcoholic beverages
Refuse and refuse disposal
Lean manufacturing
Evento
ACM International Conference Proceeding Series
Coleccion(es)
  • Ingeniería Industrial [182]


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