Planeamento do fluxo de caixa de projectos de construção baseados em BIM e System Dynamics
DOI:
https://doi.org/10.18041/1900-3803/entramado.1.6305Palavras-chave:
Fluxo de caixa, Construção, Modelação da informação de construção, Dinâmica do sistema, PlaneamentoResumo
O planeamento do fluxo de caixa de um projecto de construção é uma actividade decisiva para garantir os recursos financeiros necessários para o desenvolvimento das actividades de trabalho. Devido à sua importância, na indústria da construção há necessidade de metodologias de análise de fluxo de caixa que sejam facilmente adaptáveis às mudanças e com elevados níveis de detalhe, que permitam melhorar a precisão das estimativas e a antecipação de situações problemáticas. Considerando esta necessidade, este documento propõe um novo esquema metodológico para o planeamento do fluxo de caixa dos projectos de construção, que se baseia na integração do BIM 5D (Building Information Modeling 5D) e modelos de dinâmica do sistema do processo de construção. O esquema proposto consiste em seis fases principais: 1) modelo BIM 3D, quantidades e desempenhos, 2) estrutura de repartição do trabalho, 3) estimativa de custos, 4) modelação e simulação digital BIM 5D, 5) análise do fluxo de caixa, e 6) implementação da alternativa. A aplicação do esquema indica que a rapidez, visualização e automatização, com a qual o planeamento do fluxo de caixa é desenvolvido, é conducente à análise de várias alternativas; o que reforça os processos de tomada de decisão, e melhora os resultados do planeamento.
Downloads
Referências
AL-JOBURI, Khalil; AL-AOMAR, Raid; BAHRI, Mohammed. Analyzing the impact of negative cash flow on construction performance in the Dubai area. In: Journal of Management in Engineering. Octubre, 2012. vol. 28, no. 4, p. 382-390 https://doi.org/10.1061/(ASCE)ME.1943-5479.0000123
AMERICAN INSTITUTE OF ARCHITECTS. Integrated Project Delivery: A Guide. 2007. http://www.aia.org/groups/aia/documents/pdf/aiab083423.pdf
BECERIK, Burcin; JAZIZADEH, Farrokh; LI, Nan; CALIS, Gulben. Application areas and data requirements for BIM-enabled facilities management. In: Journal of Construction Engineering and Management. Marzo, 2012. vol. 138, no. 3, p. 431-442. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000433
BOHÓRQUEZ, Jherson; PORRAS, Hernán; SÁNCHEZ, Omar; MARIÑO, María. Planificación de recursos humanos a partir de la simulación del proceso constructivo en modelos BIM 5D. In: Entramado. Enero – Junio, 2018. vol. 14, no. 1, p. 252-267. http://dx.doi.org/10.18041/entramado.2018v14n1.27106
CHEN, Hong. Development of a systematic integration approach for multi-level cost flow prediction and management. In: University of Florida. 2002. https://ufdc.ufl.edu/AA00024610/00001
CHEN, Hong. Developing cost response models for company-level cost flow forecasting of project-based corporations. In: Journal of Management in Engineering. Octubre, 2007. vol. 23, no. 4, p. 171-181. https://doi.org/10.1061/(ASCE)0742-597X(2007)23:4(171)
CHEN, Hong; O’BRIEN, William; HERBSMAN, Zohar. Assessing the accuracy of cash flow models: The significance of payment conditions. En: Journal of Construction Engineering and Management. Junio, 2005. vol. 131, no. 6, p. 669-676. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:6(669)
CHENG, M. Y.; CAO, M. T.; Herianto, J. G. Symbiotic organisms search-optimized deep learning technique for mapping construction cash flow considering complexity of project. In: Chaos, Solitons and Fractals. June, 2020. vol. 138, p. 109869. https://doi.org/10.1016/j.chaos.2020.109869
ELGHAISH, Faris; ABRISHAMI, Sepehr; ABU SAMRA, Soliman; GATERELL, Mark; HOSSEINI, Reza; WISE, Richard. Cash flow system development framework within integrated project delivery (IPD) using BIM tools. In: International Journal of Construction Management. Enero, 2019. p. 1-16. https://doi.org/10.1080/15623599.2019.1573477
FORRESTER, Jay. Industrial Dynamics. 1961. http://www.laprospective.fr/dyn/francais/memoire/autres_textes_de_la_prospective/autres_ouvrages_numerises/industrial-dynamics-forrester-1961.pdf
HERRERA, Rodrigo F.; SÁNCHEZ, Omar; CASTAÑEDA, Karen; PORRAS, Hernán. Cost overrun causative factors in road infrastructure projects: A frequency and importance analysis. En: Applied Sciences. Agosto, 2020, vol. 10, no. 16, 5506. https://doi.org/10.3390/app10165506
JARRAH, Ra›ed; KULKARNI, Devdatta; O›CONNOR, James. Cash flow projections for selected TxDoT highway projects. En: Journal of Construction Engineering and Management. Marzo, 2007, vol. 133, no. 3, p. 235-241. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:3(235)
KEHILY, Dermot; UNDERWOOD, Jason. Embedding life cycle costing in 5D BIM. En: Journal of Information Technology in Construction, Septiembre, 2017. vol. 22, p. 145-167. https://www.itcon.org/2017/8
KHALAF, Mohammed; AKBAS, Ragip. Parametric construction cash flow modeling combined with Building Information Modeling and simulation. In: International Civil Engineering and Architecture Conference 2019. April, 2019. https://www.researchgate.net/publication/332951025_PARAMETRIC_CONSTRUCTION_CASH_FLOW_MODELING_COMBINED_WITH_BUILDING_INFORMATION_MODELING_AND_SIMULATION
KIM, Hyunjoo; GROBLER, Francois. Preparing a construction cash flow analysis using Building Information Modeling (BIM) technology. In: Journal of Construction Engineering and Management. Febrero, 2013, vol. 1, no. 1, p. 1-9. https://doi.org/10.6106/JCEPM.2013.3.1.001
KIM, Jin. Use of BIM for effective visualization teaching approach in construction education. In: Journal of Professional Issues in Engineering Education and Practice. Julio, 2012. vol. 138, no. 3, p. 214-223. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000102
LE, Thi; VU, Thi; VAN, Cong. Identifying factors influencing on the cash flow of construction companies: Evidence from Vietnam stock exchange. In: Management Science Letters. Julio, 2020. vol. 10, no. 1, p. 255-264. http://dx.doi.org/10.5267/j.msl.2019.7.036
LIU, Shu; WANG, Chang. Profit optimization for multiproject scheduling problems considering cash flow. In: Journal of Construction Engineering and Management. Diciembre, 2010. vol. 1, p. 129-133. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000235
LU, Qiqi; WON, Jongsung; CHENG, Jack. A financial decision making framework for construction projects based on 5D Building Information Modeling (BIM). In: International Journal of Project Management. Septiembre, 2016. vol. 34, no. 1, p. 3-21. https://doi.org/10.1016/j.ijproman.2015.09.004
LU, Weisheng; PENG, Yi; SHEN, Qiping; LI, Heng. Generic model for measuring benefits of BIM as a learning tool in construction tasks. In: Journal of Construction Engineering and Management. Febrero, 2013. vol. 139, no. 2, p. 195-203. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000585
MAHALINGAM, Ashwin; KASHYAP, Rahul; MAHAJAN, Charudatta. An evaluation of the applicability of 4D CAD on construction projects. En: Automation in Construction. 2010, vol. 19, no. 2, p. 148-159. https://doi.org/10.1016/j.autcon.2009.11.015
MEJÍA, Guillermo; SÁNCHEZ, Omar; CASTAÑEDA, Karen; PELLICER, Eugenio. Delay causes in road infrastructure projects in developing countries. In: Revista de la Construcción. 2020, vol. 19, no. 2, p. 220-234. https://doi.org/10.7764/rdlc.19.2.220-234
MELIK, Serhat. Cash flow analysis of construction projects using fuzzy set theory. Thesis Master of Science in Civil Engineering. Middle East Technical University. Department of Civil Engineering. 2010. https://etd.lib.metu.edu.tr/upload/12612517/index.pdf
MINISTERIO DEL TRABAJO DE COLOMBIA. Calculadora laboral. Ministerio del trabajo de Colombia http://www.mintrabajo.gov.co/calculadora-laboral.html. 2020
MIRNEZAMI, S. A.; MOUSAVI, S. M.; MOHAGHEGHI, V. A new interval type-2 fuzzy approach for multi-scenario project cash flow assessment based on alternative queuing method and dependency structure matrix with a case study. In: Engineering Applications of Artificial Intelligence. August, 2020. vol. 95, p. 103815. https://doi.org/10.1016/j.engappai.2020.103815
NAVON, R. Resource-based model for automatic cash-flow forecasting. In: Construction Management and Economics. Abril, 1995. vol. 13, no. 6, pp. 501-510. https://doi.org/10.1080/01446199500000058
NAVON, R. Company-level cash-flow management. En: Journal of Construction Engineering and Management. Marzo, 1996. vol. 122, no. 1, p. 22-29. https://doi.org/10.1061/(ASCE)0733-9364(1996)122:1(22)
NING, M.; HE, Z.; JIA, T.; WANG, N. Metaheuristics for multi-mode cash flow balanced project scheduling with stochastic duration of activities. In: Automation in Construction. June, 2017. vol. 81, p. 224–233. https://doi.org/10.1016/j.autcon.2017.06.011
PARK, Hyung; HAN, Seung; RUSSELL, Jeffrey. Cash flow forecasting model for general contractors using moving weights of cost categories. En: Journal of Management in Engineering. Octubre, 2005. vol. 21, no. 4, p. 164-172. https://doi.org/10.1061/(ASCE)0742-597X(2005)21:4(164)
POLANCO SÁNCHEZ, Lina Marithza. Análisis de rendimientos de mano de obra para actividades de construcción - estudio de caso edificio J UPB. Universidad Pontificia Bolivariana. Facultad de Ingeniería Civil. Escuela de Ingenierías y Administración. 2009. 72 p. https://repository.upb.edu.co/handle/20.500.11912/635
PORRAS, Hernán; SÁNCHEZ, Omar; GALVIS, José. Metodología para la elaboración de modelos del proceso constructivo 5D con tecnologías “Building Information Modeling”. En: Revista Gerencia Tecnológica Informática. Abril, 2015. vol. 14, no. 38, p. 59-73. http://revistas.uis.edu.co/index.php/revistagti/article/view/4869
PORRAS, Hernán; SÁNCHEZ, Omar; GALVIS, José; JAIMEZ, Néstor; CASTAÑEDA, Karen. Tecnologías “Building Information Modeling” en la elaboración de presupuestos de construcción de estructuras en concreto reforzado. En: Entramado. Enero - junio, 2015. vol. 11, no. 1, p. 230-249. https://doi.org/10.18041/entramado.2015v11n1.21116
QIAN, Ang-Yu. Benefits and ROI of BIM for Multi-Disciplinary Project Management. Undergraduate. Singapore. National University of Singapore. 2012. 45 p. http://www.icoste.org/wp-content/uploads/2011/08/Benefits-and-ROI-of-BIM-for-Multi-Disciplinary-Project-Management.pdf
QING, Liu; TAO, Gao; PING, Wang. Study on building lifecycle information management platform based on BIM. In: Research Journal of Applied Sciences, Engineering and Technology. Enero, 2014. vol. 7, no. 1, p. 1-8. https://doi.org/10.19026/rjaset.7.212
SÁNCHEZ RIVERA, Omar Giovanny. Análisis del flujo de caja de la construcción de un proyecto con modelos BIM 5D y dinámica de sistemas. Trabajo de Maestría. Bucaramanga. Universidad Industrial De Santander. Facultad de Ingenierías Fisicomecánicas. Escuela de Ingeniería Civil. 2015. 248 p.
SU, Yi; LUCKO, Gunnar. Synthetic cash flow model with singularity functions. I: Theory for periodic phenomena and time value of money. In: Journal of Construction Engineering and Management. Febrero, 2015. vol. 141, no. 3, p. 1-12. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000938
SURETY INFORMATION OFFICE, 2015. Why Do Contractors Fail?. http://suretyinfo.org/?wpfb_dl=151.
TANG, C; LEUNG, A.; LAM, K. Entropy Application to Improve Construction Finance Decisions. In: Journal of Construction Engineering and Management. Octubre, 2006, vol. 132, no. 10, p. 1099-1113. https://doi.org/10.1061/(ASCE)0733-9364(2006)132:10(1099)
WANG, Kun; WANG, Wei; WANG, Han; HSU, Pei; WU, Wei; KUNG, Chen. Applying building information modeling to integrate schedule and cost for establishing construction progress curves. In: Automation in Construction. Diciembre, 2016. vol. 72, p. 397-410. https://doi.org/10.1016/j.autcon.2016.10.005
WANG, Wei; WENG, Shao; WANG, Shih; CHEN, Cheng. Integrating building information models with construction process simulations for project scheduling support. In: Automation in Construction. Noviembre, 2014. vol. 37, p. 68-80. https://doi.org/10.1016/j.autcon.2013.10.009
Downloads
Publicado
Edição
Seção
Licença
Copyright (c) 2020 Entramado
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
