Abstract
In Peru, most manufacturing companies are classified as micro and small enterprises (MSEs), as is the case in the food sector, where more than 90% of the total industry is microenterprises. However, MSEs face limitations that make it difficult to achieve competitive levels of efficiency, affecting their sustainability. Therefore, the objective of this research is to develop an improvement model to increase the efficiency in the use of raw materials in the production processes of food MSEs, adapted to low-income contexts. The implementation combines the use of Lean tools, mainly Poka-Yoke and TPM, along with Industry 4.0, considering the use of smart sensors. With the implementation of these tools, it is projected to reduce waste to 3.84%, recover 5.57% of raw materials and improve efficiency to 88%.
| Original language | English |
|---|---|
| Title of host publication | 2025 11th International Conference on Innovation and Trends in Engineering, CONIITI 2025 - Conference Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Edition | 2025 |
| ISBN (Electronic) | 9798331591328 |
| DOIs | |
| State | Published - 2025 |
| Event | 11th International Conference on Innovation and Trends in Engineering, CONIITI 2025 - Bogota, Colombia Duration: 1 Oct 2025 → 3 Oct 2025 |
Conference
| Conference | 11th International Conference on Innovation and Trends in Engineering, CONIITI 2025 |
|---|---|
| Country/Territory | Colombia |
| City | Bogota |
| Period | 1/10/25 → 3/10/25 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 8 Decent Work and Economic Growth
-
SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Industry 4.0
- Poka-Yoke
- Process-efficiency
- TPM
- waste-reduction
Fingerprint
Dive into the research topics of 'Increasing the efficiency of raw material utilization in a food sector SME: A model based on Lean and Industry 4.0 tools'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver