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

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...

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Veröffentlicht in:International Journal of Professional Business Review 2023-01, Vol.8 (7), p.e02553-19
Hauptverfasser: Fernandez, Nilthon Arce, Segura, Flabio Gutiérrez, Pino, Manuel Emilio Milla, Chavil, Walter Jose Quiroz, Ruiz, Adán Díaz, Sánchez, Jaime Lucho Cieza
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Sprache:eng
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Zusammenfassung: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.
ISSN:2525-3654
2525-3654
DOI:10.26668/businessreview/2023.v8i7.2553