RevArq Volúmen 18-1 2016
How to Cite
Trujillo, J., & Cubillos, R. A. (2016). Simulation as a tool for architectural design and evaluation : resolved patterns from engineering. Revista De Arquitectura (Bogotá), 18(1), 111–125. https://doi.org/10.14718/RevArq.2016.18.1.10
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Abstract

An overview of the importance of sustainable design process applied to buildings is presented. Given that the field of construction is one of the areas with the highest environmental impact, it is important to analyze what would be the new design processes for buildings in terms of sustainability. These concepts were applied to a case study using discrete simulation, which allows an assessment of capacity building along with its resources, to make decisions expansion in the architectural design process. Data were analyzed in the SPSS statistical program and simulated in ProModel. The proposed educational model can be useful when applied to a multidisciplinary context, where industrial engineering and architecture students interact. This exercise can be applied in the classroom; Doing so, could help reduce design times and improve communication between students since it involves multidisciplinary work.

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References

Anderson, D., Sweeney, D., & Williams, T. (2005). Estadística para administración y economía. México: Cencage Learning. Recuperado de: http://dspace.ucbscz.edu.bo/dspace/bitstream/123456789/13206/1/10003.pdf

Azarang E., M. R. y Eduardo, G. D. (1966). Simulación y análisis de modelos estocásticos.México D.F.: McGraw-Hill.

Babativa, D. (2012). El aprendizaje basado en problemas: una respuesta práctica para la formación del pensamiento. Bogotá: Universidad la Gran Colombia.

Coss Bú, R. (2003). Simulación: un enfoque práctico. México: Limusa.

Cantún, I. (2010). Nuevos desafíos en la formación de arquitectos a partir del impacto de la sostenibilidad en la arquitectura. Enteloquio - Revista interdisciplinar (12), 273-287. Recuperado de: http://www.eumed.net/entelequia/pdf/2010/e12a15.pdf

Evans, M. J. y Rosenthal, J. S. (2004). Probabilidad y estadística, la ciencia de la incertidumbre. Barcelona: Reverté.

Hillier, F. S. y Lieberman, G. J. (2010). Introducción a la investigación de operaciones (9 ed.). Mexico: McGraw-Hill.

Miemczyk, J., Johnsen, T. E. y Macquet, M. (2012). Sustainable purchasing and supply management: a structured literature review of definitions and measures at the dyad, chain and network levels. Supply Chain Management: An International Journal, 17 (5), 478-476. Recuperado de: https://www.researchgate.net/publication/242060981_Sustainable_purchasing_and_supply_management_A_structured_literature_review_of_definitions_and_measures_at_the_dyad_chain_and_network_levels

Seuring, S. (2013). A review of modeling approaches for sustainable supply chain management. Decision Support Systems, 54 (4), 1513-1520. Recuperado de: https://www.researchgate.net/profile/Stefan_Seuring/publication/257207230_DSS_Seuring_ModellingSustSCM_final_2012_04_24/links/00b7d524a72d4707a1000000.pdf

Seuring, S. y Müller, M. (2008). From a literature review to a conceptual framework for sustainable supply chain management. Journal of Cleaner Production, 16 (15), 1699-1710. Recuperado de: http://getcloser.dk/content/02-information/05-referencer/seuring-mueller-2008-from-a-literature-review-to-a-conceptual-framework-for-sustainable-supply-chain-management.pdf

Taha, H. A. (2012). Investigación de operaciones. México: Pearson Education, Prentice Hall.

Trujillo, J., Vallejo, J. y Becerra, M. (2010). Methodology Call-Centers?s Simulation - Study case. Studiositas, 5 (3), 117-138.

Wackerly, D. D., Mendenhall, W. y Scheaffer, R. L. (2010). Estadística matemática con aplicaciones. México: Cencage Learning. Recuperado de: http://www.sidalc.net/cgi-bin/wxis.exe/?IsisScript=ESECA.xis&method=post&formato=2&cantidad=1&expresion=mfn=001612

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