TY - GEN
T1 - Aplicación de las herramientas de gestión de calidad para reducir costos operacionales de una fábrica de alimento balanceado en la ciudad de Trujillo
AU - Rodríguez-Alza, Miguel Angel
AU - Centurion-Garcia, Patrick Acxell
AU - Vargas-Villar, Jhoan Alahin
N1 - Publisher Copyright:
© 2024 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2024
Y1 - 2024
N2 - This research aims to reduce operational costs in a balanced food factory by implementing improvements in production processes using quality management tools. To achieve this, a diagnostic assessment of the company's current situation was conducted across its key areas. Statistical tests included the Ishikawa diagram, Indicator Matrix, Pareto diagram, histograms, and control charts. Additionally, the Process Operations Diagram (DOP), Quality Function Deployment (QFD), Six Sigma, and Failure Mode and Effects Analysis (FMEA) were applied, all developed using Minitab software. The production area was identified as the most critical due to the high number of defective products, leading to significant losses in raw materials and finished products. The primary issue is the lack of preventive maintenance on the machinery, which affects efficiency and quality. Implementing quality management tools will optimize processes, reduce defects and costs, and improve production reliability and profitability. Finally, based on the analyzed and collected information, as well as the diagnostic assessment, a detailed analysis of the results was conducted to validate the evidence with quantitative data. This analysis evaluates the effectiveness of the improvement proposal in the production area and its impact on the company's profitability. The financial results indicate a Net Present Value (NPV) of S/. 5,094.93 and an Internal Rate of Return (IRR) of 32.34%, confirming the feasibility and economic benefit of the proposal.
AB - This research aims to reduce operational costs in a balanced food factory by implementing improvements in production processes using quality management tools. To achieve this, a diagnostic assessment of the company's current situation was conducted across its key areas. Statistical tests included the Ishikawa diagram, Indicator Matrix, Pareto diagram, histograms, and control charts. Additionally, the Process Operations Diagram (DOP), Quality Function Deployment (QFD), Six Sigma, and Failure Mode and Effects Analysis (FMEA) were applied, all developed using Minitab software. The production area was identified as the most critical due to the high number of defective products, leading to significant losses in raw materials and finished products. The primary issue is the lack of preventive maintenance on the machinery, which affects efficiency and quality. Implementing quality management tools will optimize processes, reduce defects and costs, and improve production reliability and profitability. Finally, based on the analyzed and collected information, as well as the diagnostic assessment, a detailed analysis of the results was conducted to validate the evidence with quantitative data. This analysis evaluates the effectiveness of the improvement proposal in the production area and its impact on the company's profitability. The financial results indicate a Net Present Value (NPV) of S/. 5,094.93 and an Internal Rate of Return (IRR) of 32.34%, confirming the feasibility and economic benefit of the proposal.
KW - FMEA
KW - Management
KW - QFD
KW - Quality
KW - Six Sigma
UR - https://www.scopus.com/pages/publications/85217210687
U2 - 10.18687/LEIRD2024.1.1.448
DO - 10.18687/LEIRD2024.1.1.448
M3 - Contribución a la conferencia
AN - SCOPUS:85217210687
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - Proceedings of the 4th LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Matta, Rodolfo Andres Rivas
T2 - 4th LACCEI International Multiconference on Entrepreneurship, Innovation and Regional Development, LEIRD 2024
Y2 - 2 December 2024 through 4 December 2024
ER -