Integrated Application of MRP, ABC, and SLP to Reduce Internal Supply Time for Pinch Valve Production in a Peruvian Metalworking Company

Autores/as

DOI:

https://doi.org/10.26439/ciii2025.8651

Palabras clave:

ABC analysis, industrial engineering, internal supply, logistics, MRP, simulation, SLP

Resumen

This study improves the internal supply of critical materials for pinch valve production in a Peruvian metalworking firm by applying Material Requirements Planning (MRP), ABC classification, and Systematic Layout Planning (SLP) to reduce lead times and enhance inventory flow. A representative sample from key warehouses was analyzed. AS-IS and TO-BE scenarios were simulated in Arena (62 replications) evaluating picking time, logistics lead time, and fulfillment rate. Results show a 10% drop in picking time and a more than 23% rise in fulfillment, confirming the combined tools’ effectiveness. The scalable methodology offers benefits for similar production lines.

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Biografía del autor/a

  • Jhoanna M. Alcantara Ramos, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Jhoanna Milagros Alcantara Ramos holds a Bachelor’s degree in Industrial Engineering from Universidad de Lima, Peru. She currently works as a professional intern in the Safety and Environment area at Repsol, within the Exploration and Production Business Unit. She is co-author of the article “Integrated Application of MRP, ABC and SLP to Reduce Internal Supply Time for Pinch Valve Production in a Peruvian Metalworking Company,” presented at the IV International Congress of Industrial Engineering. Her areas of interest include engineering projects, risk assessment, safety and environmental management (SMA),
    operational control, and machine learning.

  • Gianella Montenegro Espinoza, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Gianella Yanatte Michely Montenegro Espinoza holds a Bachelor’s degree in Industrial Engineering from
    Universidad de Lima, Peru. Her academic background focuses on operations management, logistics, finance, and process improvement. She is currently a professional intern in the Network & Assets area at Corporación Primax, where she participates in activities related to asset management, data analysis, and decision-making support. She has also participated in university study groups as a member of the Virtual
    Design and Construction (VDC) Study Circle of the Civil Engineering Program, where she developed skills in project management and collaborative work. She is co-author of the article “Integrated Application of
    MRP, ABC and SLP to Reduce Internal Supply Time for Pinch Valve Production in a Peruvian Metalworking Company,” presented at the IV International Congress of Industrial Engineering. Her research interests include project management, logistics, finance, process management, and supply chain management.

  • Edilberto Avalos-Ortecho, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Edilberto Miguel Avalos Ortecho holds a PhD in Business Management from Universidad Nacional Mayor de San Marcos, an MBA in Strategic Business Management from Centrum Católica, and a Master’s degree in Environmental Management and Administration from EOI Escuela de Organización Industrial, Spain. He is Coordinator of Research and Publications, Researcher, and Lecturer in the Industrial Engineering Program at Universidad de Lima. He is registered in Renacyt at Level VI under code P0041763 and represents Peru on the ISO/TC 279 Technical Committee on Innovation Management. He has co-authored the publications “Implementation of Lean Manufacturing to Increase Aircraft Availability” (Journal of Fluid Flow, Heat and Mass Transfer); “Crude Oil Production and Simulation from Catalytic Fast Pyrolysis of Waste Polyethylene Terephthalate (PET)” (Cleaner Engineering and Technology, 2025); “Implementation of Machine Learning and BPM to Increase Profitability in a Travel Agency” (World Congress on Mechanical, Chemical, and Material Engineering, 2025); “Application of Lean Manufacturing to Increase Productivity in the Food Sector” (LACCEI 2025); and “Application of Circular Economy to Manufacture Sneakers from Banana Pseudostem Yarn” (CONIITI 2024). His research interests include machine learning, innovation management, lean manufacturing, pyrolysis technology, circular economy, clean energy, sustainable environmental management, and business competitiveness. 

  • Silvia P. Ponce Alvarez, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Silvia Ponce Álvarez holds a PhD in Applied Physical Chemistry from Universidad Autónoma de Madrid and a Bachelor’s degree in Chemistry from Universidad Nacional Mayor de San Marcos. She completed her doctoral thesis at Instituto de Catálisis y Petroleoquímica (CSIC, Spain). She has carried out postdoctoral
    research at Institut für Angewandte Chemie (ACA-Berlin, Germany), Universidad de Buenos Aires (Argentina), Universidad Autónoma de Madrid (Spain), and Auburn University (United States), and was a fellow of AECI-ICI (Spain) and DAAD. She leads the research groups on Applied Nanomaterials and Circular Economy. She has participated as principal investigator and co-investigator in research projects funded by ProCiencia, PNIPA, Innovate Peru, TWAS, and UNESCO–L’Oréal, among others. She serves as an external evaluator of projects funded through competitive grants from FONDECYT, UNMSM, and PUCP, and as a reviewer for journals indexed in Scopus and Web of Science. She is the recipient of the For Women in Science 2013–Peru Award, Green Patent 2022, General Prize of the Indecopi Contest 2022, Peruvian Inventor Award 2022, and the Silver Medal at KIWIE 2023. Her research interests include nanomaterials derived from agro-industrial waste, heterogeneous and environmental catalysis, photocatalysis, and the removal of aqueous contaminants using non-conventional methods.

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Publicado

2026-06-08

Número

Núm. 004 (2025): IV Congreso Internacional de Ingeniería Industrial

Sección

Ponencias

Licencia

Derechos de autor 2026 Congreso Internacional de Ingeniería Industrial de la Universidad de Lima

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.