Optimization Model that Minimizes the Penalty Caused by Delayed Delivery of Construction Projects

• Autor: Arce Fernández,Nilthon
• Formato: artículo
• Fecha de Publicación: 2023
• Institución: Universidad Nacional de Jaén
• Repositorio: UNJ-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.unj.edu.pe:20.500.14689/1041
• Enlace del recurso: http://hdl.handle.net/20.500.14689/1041; https://doi.org/10.26668/businessreview/2023.v8i7.2553
• Nivel de acceso: acceso abierto
• Materia: optimization; penalty; construction project; mathematical model; projects with a single machine; https://purl.org/pe-repo/ocde/ford#1.01.02

Purpose: This work aims to minimize the penalty generated by delays in delivering construction projects operated by a single machine. Theoretical framework: The fundamental issues to develop this work are optimization and its application to delays in construction projects operated in their initial stage by a single machine. Design/Methodology/Approach: We presented a construction case study, developed an optimization model, implemented a computational optimization tool and obtained the optimal sequence to perform the tasks. Findings: The numerical results demonstrated the model’s usefulness in minimizing the penalty generated by delays in the delivery of projects. Research, practical & social implications: The benefit of this study is to help managers or decision-makers schedule their construction projects with limited resources and deadlines per activity to minimize penalty costs of delay. Originality/Value: Considering that the construction sector generates the largest labor force in Peru, the study has an important social value by providing a tool to improve operations and incentivize construction companies to continue operating. In addition, it provides a substantial basis for future work by applying optimization in a specific area of civil engineering. To our knowledge, no researcher or company in Peru has yet addressed this study.