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Proposal to increase efficiency in the pizza production line in Peruvian MYPE using Lean Manufacturing tools and IoT

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Authors
Melissa De la Torre, Katherine
Vilela, Cesar Gabriel
Velasquez, Jose Antonio
Issue Date
2025-04-28
Keywords
Food Industry
IoT
Poka Yoke
TPM
Work Study

Metadata
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Publisher
Association for Computing Machinery, Inc
Journal
Icibe 2024 10th International Conference on Industrial and Business Engineering
URI
http://hdl.handle.net/10757/686866
DOI
https://doi.org/10.1145/3716097.3716123
Abstract
Despite representing a significant percentage of economic growth, the food sector in Peru faces numerous challenges. Companies in this sector confront issues such as low efficiency in their production lines, high delay times, poorly maintained work areas, and high machinery downtime. This article explores solutions using Lean Manufacturing tools such as work study, 5S, Poka Yoke, and TPM with an IoT approach. Additionally, a pilot program will be implemented using the 8-step change management model to assess and quantify improvements in order to established performance parameters. By analyzing a company struggling with efficiency, it evaluates how Lean Manufacturing tools can enhance workflow and competitiveness. The aim of this research is to implement Lean Manufacturing tools to enhance the efficiency of a food sector company. To achieve this, key objectives must be considered, including optimizing workflow through process standardization and reducing machinery downtime through TPM - Planned Maintenance to improve efficiency by 3.58%. It is expected that the final outcome exceeds this percentage and that it improves over time, as the tools employed have the potential to further boost the company’s efficiency.
Type
info:eu-repo/semantics/article
Rights
info:eu-repo/semantics/restrictedAccess
Language
eng
ae974a485f413a2113503eed53cd6c53
https://doi.org/10.1145/3716097.3716123
Scopus Count
Collections
Seccion en procesamiento

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