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 |
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| container_title | International Journal of Professional Business Review |
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| creator | Fernandez, Nilthon Arce Segura, Flabio Gutiérrez Pino, Manuel Emilio Milla Chavil, Walter Jose Quiroz Ruiz, Adán Díaz Sánchez, Jaime Lucho Cieza |
| description | 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. |
| doi_str_mv | 10.26668/businessreview/2023.v8i7.2553 |
| format | Article |
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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.</description><identifier>ISSN: 2525-3654</identifier><identifier>EISSN: 2525-3654</identifier><identifier>DOI: 10.26668/businessreview/2023.v8i7.2553</identifier><language>eng</language><publisher>São Paulo: AOS-ESTRATÉGIA & INOVAÇÃO; JPB-Review</publisher><subject>Construction ; Construction Project ; Mathematical Model ; Optimization ; Penalty ; Projects with a Single Machine</subject><ispartof>International Journal of Professional Business Review, 2023-01, Vol.8 (7), p.e02553-19</ispartof><rights>2023. This work is published under https://creativecommons.org/licenses/by-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>LICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI | INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0002-6514-617X ; 0000-0003-0372-3864 ; 0000-0003-3931-9804 ; 0000-0003-3221-1286 ; 0000-0002-9519-3604 ; 0000-0003-3507-9030</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,870,27901,27902</link.rule.ids></links><search><creatorcontrib>Fernandez, Nilthon Arce</creatorcontrib><creatorcontrib>Segura, Flabio Gutiérrez</creatorcontrib><creatorcontrib>Pino, Manuel Emilio Milla</creatorcontrib><creatorcontrib>Chavil, Walter Jose Quiroz</creatorcontrib><creatorcontrib>Ruiz, Adán Díaz</creatorcontrib><creatorcontrib>Sánchez, Jaime Lucho Cieza</creatorcontrib><title>Optimization Model that Minimizes the Penalty Caused by Delayed Delivery of Construction Projects</title><title>International Journal of Professional Business Review</title><description>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.</description><subject>Construction</subject><subject>Construction Project</subject><subject>Mathematical Model</subject><subject>Optimization</subject><subject>Penalty</subject><subject>Projects with a Single Machine</subject><issn>2525-3654</issn><issn>2525-3654</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>FKZ</sourceid><recordid>eNpVkWtLwzAUhosoOOb-Q0Dw27ZcmrYBEca8gmND5ueQpqeY0TUzSSf119tuKvrpvOflXDjniaIrgic0SZJsmjfe1OC9g72BjynFlE32mUknlHN2Eg0op3zMEh6f_tHn0cj7DcaYYoGJSAaRWu6C2ZpPFYyt0cIWUKHwpgJamLr3wXcpoBXUqgotmqvGQ4HyFt1CpdpOdtHswbXIlmhuax9cow-zVs5uQAd_EZ2VqvIw-o7D6PX-bj1_HD8vH57ms-exJoKysYh1jnmZQwG04KzgSaZSoinmWOuDT4tcZYympFSKl4IDFqqkmeA6j0vGhtH1cW5hVFVDkDtntsq10iojf7ymNs7YjZLg5exl3X2CJERkAnftl8f2nbPvDfggN7Zx3dVeMhKnROA4Tbuqm2OVdrb_ffm7hWB5ACP_g5E9GNmDkT0Y9gXYsoo5</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Fernandez, Nilthon Arce</creator><creator>Segura, Flabio Gutiérrez</creator><creator>Pino, Manuel Emilio Milla</creator><creator>Chavil, Walter Jose Quiroz</creator><creator>Ruiz, Adán Díaz</creator><creator>Sánchez, Jaime Lucho Cieza</creator><general>AOS-ESTRATÉGIA & INOVAÇÃO; 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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.</abstract><cop>São Paulo</cop><pub>AOS-ESTRATÉGIA & INOVAÇÃO; JPB-Review</pub><doi>10.26668/businessreview/2023.v8i7.2553</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-6514-617X</orcidid><orcidid>https://orcid.org/0000-0003-0372-3864</orcidid><orcidid>https://orcid.org/0000-0003-3931-9804</orcidid><orcidid>https://orcid.org/0000-0003-3221-1286</orcidid><orcidid>https://orcid.org/0000-0002-9519-3604</orcidid><orcidid>https://orcid.org/0000-0003-3507-9030</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | International Journal of Professional Business Review, 2023-01, Vol.8 (7), p.e02553-19 |
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| language | eng |
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| source | Dialnet; Alma/SFX Local Collection |
| subjects | Construction Construction Project Mathematical Model Optimization Penalty Projects with a Single Machine |
| title | Optimization Model that Minimizes the Penalty Caused by Delayed Delivery of Construction Projects |
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