EVALUATION OF A BUILDING LIFE CYCLE COST (LCC) CRITERIA IN EGYPT USING THE ANALYTIC HIERARCHY PROCESS (AHP)

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Published Aug 8, 2022
Omia El Hadidi Ahmed N. Meshref Karim El‐Dash Mohamed Basiouny

Abstract

Recently, life cycle cost (LCC) has gained a wide acceptance in the field of industrial building construction, where it is categorized under economic sustainability in the overall sustainability of buildings. Hence, it is necessary to think about the categories and criteria that affect the building’s cost over its lifespan. In this study, the Analytical Hierarchy Process (AHP), a multi-criteria decision-making methodology, is employed to evaluate and weight four categories which are building blocks of the LCC of industrial building construction. The assessment model applies seventeen criteria which are distributed under the following four categories:  initial cost, operating or maintenance cost, environmental impact cost, and the end of life. These are evaluated by thirty-seven civilian experts responding to a pair wise questionnaire. The results are significant as they reflect the viewpoints of the civilian experts and can aid in the development of a building's economic sustainability by illuminating the impact factors of the life cycle cost of buildings. To the best of our knowledge, this is the first study to handle criteria evaluation of LCC for sustainable building using the AHP multi-criteria decision-making (MCDM) methodology.

How to Cite

El Hadidi, O., Meshref, A. ., El‐Dash, K. ., & Basiouny, M. . (2022). EVALUATION OF A BUILDING LIFE CYCLE COST (LCC) CRITERIA IN EGYPT USING THE ANALYTIC HIERARCHY PROCESS (AHP). International Journal of the Analytic Hierarchy Process, 14(2). https://doi.org/10.13033/ijahp.v14i2.958

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Keywords

Life Cycle Cost (LCC), LCC Categories, LCC Criteria, Sustainable Building in Egypt, Economic Sustainability, Analytic Hierarchy Process (AHP)

References
AHP (ANALYTIC HIERARCHY PROCESS) CALCULATION SOFTWARE BY CGI http://www.isc.senshu-u.ac.jp/~thc0456/EAHP/AHPweb.html
Alitaneh, S. (2019). Theories on coefficient of variation scales triangle and normalization of different variables: a new model in development of multiple criteria decision analysis. International Journal of the Analytic Hierarchy Process, 11(2), 283-295. Doi: https://doi.org/10.13033/ijahp.v11i2.565
An, M. (2014). AHP Approach to Aircraft Selection Process. Transportation Research Procedia, Vol. 3, pp. 165-174.
Ergu D., Kou G., Peng Y. & Shi Y. (2011). A simple method to improve the consistency ratio of the pairwise comparison matrix in ANP. Eur J Oper Res 213(1):246–doi:10.1016/j.ejor.2011.03.014.
Ergu D., Kou G., Shi Y. & Shi Y., (2011). Analytic network process in risk assessment and decision analysis. Compute Oper Res. doi:10.1016/j.cor.2011.03.005.
Ferretti, V., & Saaty, T. (2014). Questions and answers: Valentina Ferretti interviews Tom Saaty. International Journal of the Analytic Hierarchy Process, 6(2), 132-143. Doi: http://dx.doi.org/10.13033/ijahp.v6i1.235
Fuller, S. (2010). Life cycle cost analysis (LCCA). National Institute of Standards and Technology (NIST).
Garuti, C. & Salomon, V. A. P., (2012). Compatibility indices between priority vectors. International Journal of the Analytic Hierarchy Process, Vol. 4, pp. 152-160.
Goh, B.H. & Sun, Y. (2016). “The development of life-cycle costing for buildings”, Building Research & Information, Routledge, Vol. 44 No. 3, pp. 319–333.
Gao, X., & Pishdad-Bozorgi, P. (2018). Past, Present, and Future of BIM-Enabled Facilities Operation and Maintenance. Paper presented at the Construction Research Congress.
Ibrahim, A. (2001). “Life Cycle Cost Analysis: A Computer Aided Tool for the Egyptian Construction Industry” Thesis, American University in Cairo.
ISO 15686 Part 5. (2013) -Life cycle costing for buildings and constructed assets. BCIS and the British Standards Institute. Date accessed 7 January2013, http://www.ciria.org/service/membership_options/AM/ContentManagerNet/Content
Kim G.-H., An S.-H. & Kang K.-I. (2004). Comparison of construction cost estimating models based on regression analysis, neural networks, and case-based reasoning. Building and environment, 39(10), 1235- 1242.
Kim G.-H., Yoon J.-E., An S.-H., Cho H.-H. & Kang, K.-I. (2004). Neural network model incorporating a genetic algorithm in estimating construction costs. Building and Environment, 39(11), 1333-1340.
Langdon & Davis. (2007) “Life cycle costing (LCC) as a contribution to sustainable construction: a common methodology – Final Methodology” http://ec.europa.eu/enterprise/sectors/construction/files/compet/life_cycle_costing/common_methodology_en.pdf
Montgomery, J. (1998). Making a City Urbanity, Vitality and Urban Design. Journal of Urban Design, 3, 93-116.
NRM 1. (2012). Order of cost estimating and cost planning for capital building works, (2nd edition).
NRM 3. (2014). Green, A., Order of cost estimating and cost planning for building maintenance works (1st edition).
Noshadravan, A., Miller, T. R., & Gregory, J. G. (2017). A Lifecycle Cost Analysis of Residential Buildings Including Natural Hazard Risk. [Article]. Journal of Construction Engineering and Management, 143(7), 10.
Point carbon website, https://www.refinitiv.com/en/products/point-carbon-prices
RICS, (2016). guidance note, UK 1st edition, April 2016.
Saaty, T. L. (1990). How to make a decision: The Analytic Hierarchy Process. European Journal of Operational Research, Vol.48, pp. 9-26.
Saaty, T. L. (2000). Decision making for leaders – the Analytic Hierarchy Process for decisions in a complex world. Pittsburgh: RWS.
Saaty, T. L. (2005). The Analytic Hierarchy and Analytic Network Processes for the Measurement of Intangible Criteria and for Decision-Making. In: Figueira, J, Greco, S, Ehrgott, M, editors. Multiple criteria decision analysis: State of the art surveys, New York: Springer, pp. 345-407.
Saaty, T. L. (2013). The analytic hierarchy process without the theory of Oskar Perron. International Journal of the Analytic Hierarchy Process, 5(2), 268-293. Doi: http://dx.doi.org/10.13033/ijahp.v5i2.191
Salgado, E., Salomon, V. A. P. & Mello, C. (2012). Analytic hierarchy prioritization of new product development activities for electronics manufacturing. International Journal of Production Research, Vol. 50, pp. 4860-4866.
Tu K. J. & Huang Y. W. (2013). Predicting the operation and maintenance costs of condominium properties in the project planning phase: An artificial neural network approach. International Journal of Civil Engineering, (4A), 242-250.
Tu K. J., Huang Y. W., Lu C. L. & Chu K. H. (2007). Predicting the operation and maintenance costs of apartment buildings at preliminary design stage: Comparing statistical regression and artificial neural network methods. Paper presented at the CME 25 Conference Construction Management and Economics. Retrieved from - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84877614694&partnerID=40&md5=6373edd2ee68e87e1891ed7ffd61e00e
Tu K., Taur Y. & Lin C. (2016). “Integrating Building Information Modeling Technology, Facility Management System and Maintenance Cost Database in Predicting Building Life Cycle”, Saari, A. and Huovinen, P. (Eds.). WBC16 Proceedings: Volume III. Building Up Business Operations and Their Logic. Shaping Materials and Technologies. Tampere: Tampere University of Technology.
Zhang, C., Cao, L. W. & Romagnoli, A. (2018). On the feature engineering of building energy data mining. Sustainable Cities and Society, 39, 508-518.
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