Construction Project Delays: Application of Lean Construction for Process Optimization and On-Time Delivery Validated through Simulation

Authors

DOI:

https://doi.org/10.26439/ciii2025.8652

Keywords:

Delay analysis, Last Planner System, Lean construction, material supply disruptions, planning management, simulation modeling, Standard Work

Abstract

Construction projects in Peru often face delays that result in economic and contractual penalties. This study identifies the primary causes of project delays and proposes a process optimization model based on Lean Construction tools, applied to a road maintenance company. The methodology combines exploratory and experimental phases using operational data from 2022–2023. Pareto analysis and the 5 Whys technique identify material shortages (52%) and requisition rework (31%) as the most critical contributors to delays. To mitigate these issues, the Last Planner System, Standard Work, and Kaizen are implemented. Validation using discrete-event simulation in Arena demonstrates a 24.69% increase in project physical progress, a 39.27% reduction in accumulated delay days, and a 65.96% decrease in canceled requisitions. These results demonstrate that Lean tools can significantly improve planning reliability, reduce rework, and promote a continuous improvement culture in public works.

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Author Biographies

  • Gustavo Almeida, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Gustavo Alessandro Almeida Rosillo holds a Bachelor’s degree in Industrial Engineering from Universidad de Lima. His areas of interest include data science, production systems engineering, and project
    management.

  • Stefano Monier, Carrera de Ingeniería Industrial, Universidad de Lima, Perú

    Stefano Franco Monier Perez holds a Bachelor’s degree in Industrial Engineering from Universidad de Lima. He is currently a professional management intern at Claro Perú. His areas of interest include data science, production process management, and quality engineering.

  • Silvia Ponce, 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.

  • 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

     

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Published

2026-06-08

Issue

No. 004 (2025): IV Congreso Internacional de Ingeniería Industrial

Section

Ponencias

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