Proposal of production model based on Lean and Continuous Improvement to improve the productivity in SMEs of baking: an empirical investigation in Peru

Alanis Zamalloa-Menacho, Renzo Manani-Rojas, Alberto Flores-Perez, Martin Collao-Diaz

Producción científica: Libro o Capítulo del libro Contribución a la conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

In Peru, the food industry represents 16.52% of GDP and bread is one of the foods that generated the highest consumption; however, despite the demand, bakery SMEs have a negative performance. Poor process management and methods are used affecting its productivity. Faced with this problem, SMEs in Europe are using the Lean Manufacturing methodology to optimize their processes. That is why this article proposes as a contribution the Lean-Deming Model, which includes tools such as Poka Yoke, Work Standardization, 5S and Deming Cycle. To validate this contribution, the model was developed in a bakery SME in Lima, Peru in its "pan frances"production line. A simulation of the improvements in the Arena Software was carried out, with which positive results were obtained. Searching tools times decreased by 10.34% and labor productivity improved by 23.91%, thus improving overall process productivity.

Idioma originalInglés estadounidense
Título de la publicación alojadaIEIM 2022 - 2022 3rd International Conference on Industrial Engineering and Industrial Management
EditorialAssociation for Computing Machinery
Páginas66-71
-6
ISBN (versión digital)9781450395694
DOI
EstadoIndizado - 12 ene. 2022
Publicado de forma externa
Evento3rd International Conference on Industrial Engineering and Industrial Management, IEIM 2022 - Barcelona, Espana
Duración: 12 ene. 202214 ene. 2022

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia3rd International Conference on Industrial Engineering and Industrial Management, IEIM 2022
País/TerritorioEspana
CiudadBarcelona
Período12/01/2214/01/22

Nota bibliográfica

Publisher Copyright:
© 2022 ACM.

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