TY - GEN
T1 - Lean production management model for SME waste reduction in the processed food sector in Peru
AU - Chávez, José
AU - Osorio, Fernando
AU - Altamirano, Ernesto
AU - Raymundo, Carlos
AU - Dominguez, Francisco
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2019
Y1 - 2019
N2 - The reduction of waste is a constant concern for companies that form part of a supply chain. In industrial processors, these are related to logistics solutions, because the production process of the different products is highly automated. In the case of the Peruvian potato, this model is not applicable due to its irregular characteristics. In this context, this paper proposes an improvement in the process of elaboration of processed potatoes in order to reduce or eliminate waste in food sector companies. Identification tools are used for activities that do not generate value, such as the VSM, and other continuous improvement tools such as Kaizen and 5S, as well as a simulation model. In the validation, an 89% increase in the product yield, as well as a 72% efficiency increase, is obtained.
AB - The reduction of waste is a constant concern for companies that form part of a supply chain. In industrial processors, these are related to logistics solutions, because the production process of the different products is highly automated. In the case of the Peruvian potato, this model is not applicable due to its irregular characteristics. In this context, this paper proposes an improvement in the process of elaboration of processed potatoes in order to reduce or eliminate waste in food sector companies. Identification tools are used for activities that do not generate value, such as the VSM, and other continuous improvement tools such as Kaizen and 5S, as well as a simulation model. In the validation, an 89% increase in the product yield, as well as a 72% efficiency increase, is obtained.
KW - Lean manufacturing
KW - Production management
KW - Time reduction
KW - Waste reduction
UR - https://www.scopus.com/pages/publications/85067398003
U2 - 10.1007/978-3-030-20494-5_5
DO - 10.1007/978-3-030-20494-5_5
M3 - Contribución a la conferencia
AN - SCOPUS:85067398003
SN - 9783030204938
T3 - Advances in Intelligent Systems and Computing
SP - 53
EP - 62
BT - Advances in Manufacturing, Production Management and Process Control - Proceedings of the AHFE 2019 International Conference on Human Aspects of Advanced Manufacturing, and the AHFE International Conference on Advanced Production Management and Process Control
A2 - Trzcielinski, Stefan
A2 - Mrugalska, Beata
A2 - Karwowski, Waldemar
PB - Springer Verlag
T2 - AHFE International Conference on Human Aspects of Advanced Manufacturing, 2019 and the AHFE International Conference on Advanced Production Management and Process Control, 2019
Y2 - 24 July 2019 through 28 July 2019
ER -