Operations Management Model to Improve Compliance with the Fan Production Plan through Process Standardization in the Metalworking Sector

Authors

DOI:

https://doi.org/10.26439/ciii2025.8646

Keywords:

5S, fan manufacturing, metalworking industry, SMED, standardization

Abstract

The metal-mechanic sector plays an important role for the Peruvian economy, representing approximately 1% of total GDP and 6% of manufacturing GDP. It is particularly relevant for its strategic role in providing essential components and services for sectors such as mining, construction, and agribusiness. The problem that motivates this study focuses on the need to reduce the waste of resources in metal-working companies where operational performance is affected, and in this sense, the research was carried out in a factory producing fans with the objective of developing an operations management model to improve compliance with the production plan. An empirical study was conducted using Lean Manufacturing techniques—specifically 5S, Standardized Work, and Single-Minute Exchange of Dies (SMED)—to develop a model that was functionally validated through a pilot test and process simulation. The results showed that production plan compliance reached 60.7%, non-productive time was reduced by 92.8%, cycle time decreased by 3.46%, and setup time was reduced by 25.2%. The contribution of this research demonstrates that integrating the applied engineering techniques results in a robust and effective combination for improving industrial processes.

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Author Biographies

  • Paola G. Pérez Cadillo, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Paola Guadalupe Pérez Cadillo holds a Bachelor’s degree in Industrial Engineering from Universidad de Lima, with a specialization in Business Engineering. She also earned a certificate in Financial Analysis and Management Strategies from the Oxford International Study Abroad Programme at St Antony’s College, University of Oxford. She previously worked as a Logistics Intern at Artesco S.A., where she optimized dispatch flows by designing data-driven tracking architectures, ensuring operational integrity and process traceability. Her professional objective is to integrate Lean Manufacturing methodologies and systems simulation for industrial optimization, applying these capabilities to the energy transition and sustainable systems modeling.

  • Eliane T. Rivera Odar, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Eliane Teresa Rivera Odar holds a Bachelor’s degree in Industrial Engineering from Universidad de Lima and ranked in the top 30% of her class. She currently works as a Professional Intern in the Sales Department, where she applies her academic background to commercial support, sales data monitoring, and team coordination to meet departmental objectives. Her research interests focus on operations management aimed at production plan fulfillment and its impact on organizational commercial performance. Professionally, she is interested in the commercial sector, market analysis, customer experience, and the strategic use of data to support business management.

  • Carlos A. Lizarraga Portugal, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Carlos Augusto Lizarraga Portugal holds a Doctorate in Education from Universidad de San Martín de Porres, a Master’s degree in Administration from ESAN, and a degree in Industrial Engineering from Universidad de Lima, where he graduated cum laude. He also completed postgraduate studies in auditing and implementation of Integrated Management Systems, including ISO 9001 Quality, ISO 14001 Environment, OHSAS 18001 Occupational Health and Safety, and Social Responsibility. He is a professor in the Industrial Engineering Program at Universidad de Lima, where he teaches courses on comprehensive safety, maintenance management, business diagnosis, and research projects. He is also a business consultant specializing in strategic planning, occupational health and safety management systems, logistics management, purchasing management, strategic inventory control, supply chain management, warehouse management, state purchasing processes, costs, and asset management. He has experience in sectors such as clothing, plastics, industrial footwear, fishing, services, marketing, and training. He also works as a trainer and facilitator in seminars on strategic planning, business organization, production management, operations management, strategic inventory control, supply chain management, industrial safety, and comprehensive safety management, and serves as thesis advisor and jury member for the Industrial Engineering degree.

  • Javier M. Castillo Tejada, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Javier Miguel Castillo Tejada holds an MBA from UNIR México and a Bachelor of Science degree in Industrial Engineering from Pontificia Universidad Católica del Perú. He currently works as professor at Universidad de Lima. He has co-authored the papers “Quality Process to Improve Operating Results: A Study on Potato Production in Barranca, Peru” (CONIITI 2022); “Reduction of Non-Conforming Products through a Quality Management Model Using Lean Manufacturing Tools in the Wood Furniture Industry” (CONIITI 2022); and “Warehouse Management Model Based on Lean and SLP to Reduce Non-Compliance with Delivery Deadlines in a Peruvian Cocoa SME” (CONIITI 2022).

References

[1] T. Jonathan, “Sector metalmecánico multiplica el empleo por cuatro y hoy depende de la inversión minera [Metalworking sector multiplies employment fourfold and now relies on mining investment],” Dipromin.com, Sep. 4, 2022. [Online]. Available: https://bit.ly/4nQopqO

[2] J. I. Illaganqui Florida and Y. I. Galvez Martinez, “Implementación de las herramientas 5S y TPM para aumentar el índice de entrega de pedidos a tiempo en una empresa metalmecánica [Implementation of 5S and TPM tools to increase the on-time delivery rate in a metalworking company],” Professional degree thesis, Academic Program of Industrial Engineering, Universidad Peruana de Ciencias Aplicadas, Lima, Peru, 2023. [Online]. Available: http://hdl.handle.net/10757/671591

[3] M. A. Arbieto Martos and J. A. Vásquez Meza, “Mejora de los procesos productivos usando herramientas de Lean Manufacturing en una MYPE de carpintería metálica para disminuir la tasa de entregas tardías [Improvement of production processes using Lean Manufacturing tools in a metal carpentry SME to reduce the late delivery rate],” B.S. thesis, Academic Program of Industrial Engineering, Universidad Peruana de Ciencias Aplicadas, Lima, Peru, 2020. [Online]. Available: http://hdl.handle.net/10757/654448

[4] J. A. Bravo Fernandez, “Aplicación de herramientas Lean Manufacturing (5S, Andon y Tiempo Estándar) para el aumento de la productividad en el área de producción de una empresa metalmecánica [Application of Lean Manufacturing tools (5S, Andon, and Standard Time) to increase productivity in the production area of a metalworking company],” Ind. Data, vol. 26, no. 1, pp. 217–245, Jul. 2023, doi: https://doi.org/10.15381/idata.v26i1.24580

[5] E. L. Vargas Crisóstomo and J. W. Camero Jiménez, “Aplicación del Lean Manufacturing (5S y Kaizen) para el incremento de la productividad en el área de producción de adhesivos acuosos de una empresa manufacturera [Application of Lean Manufacturing (5S and Kaizen) to increase productivity in the aqueous adhesive production area of a manufacturing company],” Ind. Data, vol. 24, no. 2, pp. 249–271, Dec. 2021, doi: https://doi.org/10.15381/idata.v24i2.19485

[6] D. M. C. dos Santos, B. K. dos Santos, and C. G. dos Santos, “Implementation of a standard work routine using Lean Manufacturing tools: A case study,” Gest. Prod., vol. 28, no. 1, e4823, Feb. 2021, doi: https://doi.org/10.1590/0104-530x4823-20

[7] M. A. Morales Rodriguez, G. Cervantes Zubirías, J. Y. Wong Gallegos, and R. Martínez Mendoza, “Reducción de los tiempos de cambio de modelo en los productos fabricados en una empresa manufacturera de aspiradoras [Reduction of model changeover times in products manufactured in a vacuum cleaner manufacturing company],” Multidiscip. Ing., vol. 9, no. 13, pp. 12–22, Dec. 2023, doi: https://doi.org/10.29105/mdi.v9i13.260.

[8] P. Ribeiro, J. C. Sá, L. P. Ferreira, F. J. G. Silva, M. T. Pereira, and G. Santos, “The impact of the application of lean tools for process improvement in a plastic company: A case study,” Procedia Manuf., vol. 38, pp. 765–775, Jan. 2019, doi: https://doi.org/10.1016/j.promfg.2020.01.104.

[9] C. M. Valenzuela Huaraca and J. B. Chipana Ayala, “Propuesta de mejora del proceso de producción para reducir los tiempos improductivos basada en la implementación de SLP, 5’s y SMED en el sector metalmecánica [Production process improvement proposal to reduce unproductive time based on the implementation of SLP, 5S, and SMED in the metalworking sector],” Professional degree thesis, Academic Program of Industrial Engineering, Universidad Peruana de Ciencias Aplicadas, Lima, Peru, 2023. [Online]. Available: http://hdl.handle.net/10757/671840

[10] V. Barrenechea Chamorro, “Propuesta de mejora de la eficiencia en la fabricación de vigas en una empresa MYPE del sector metalmecánico en el Perú, utilizando herramientas de Lean Manufacturing y estandarización de trabajo [Proposal to improve efficiency in beam manufacturing in an SME of the metalworking sector in Peru using Lean Manufacturing tools and work standardization],” Professional degree thesis, Academic Program of Industrial Engineering, Universidad Peruana de Ciencias Aplicadas, Lima, Peru, 2022. [Online]. Available: http://hdl.handle.net/10757/660864

[11] D. I. Ramirez-Lozano, J. E. Avilés-Solano, and M. Collao Diaz, “Process optimization in metalworking SMEs by implementing Lean Manufacturing tools: An integrated approach to improving operational efficiency,” in Proc. 5th Asia Pacific Conf. Ind. Eng. Oper. Manag. (AP05), Tokyo, Japan, Sep. 10–12, 2024, doi: https://doi.org/10.46254/AP05.20240087.

[12] C. Oliveira and T. M. Lima, “Setup time reduction of an automotive parts assembly line using lean tools and quality tools,” Eng, vol. 4, no. 3, pp. 2352–2362, Sep. 2023, doi: https://doi.org/10.3390/eng4030134.

Published

2026-06-08