Predictive model on architectural design optimization for minimizing construction cost with design constraints

Document Type : Research Paper

Authors

1 Department of Basic Sciences, Engineering Division, International Academy for Engineering and Media Science, 6th October, Egypt.

2 Department of Architectural Engineering, Engineering Division, International Academy for Engineering and Media Science, 6th October, Egypt.

Abstract

In many different development projects, we need to minimize construction costs and usable area according to the design constraints assigned to each project. The aim of the research is to contrive a mathematical model for calculating the dimensions and sizes of rooms in a residential plan to get the least cost and manage the resources of construction. This paper presents a mathematical model (nonlinear programming) to achieve the above-mentioned goals according to the various design constraints and conditions, depending on the nature of the project and the goal of its establishment. To check the efficiency and accuracy of results the system of the nonlinear objective function and nonlinear constraints are solved using Mathematica and GAMS programs in two different cases. Tables and graphical representations of the results are very useful to the problem stated in this study. The study was applied to one of the projects of the New Urban Communities Authority in Egypt.

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References

[1] Treasury Task Force (2000). “How to Achieve Design Quality in PFI Projects”, Technical Note 7. HM Treasury, London.
[2] Hershberger, Robert G. (1999). “Architectural Programming and Predesign Manager”. McGraw-Hill Companies, Inc. New York.
[3] Ghallab, A. H. O., & Hosain, M. S. (2020). Factors affecting the cost accuracy of construction projects: Arab contractors in Egypt. International Journal of Construction Project Management, 12(2), 175-211. ‏
[4] Ibrahim, A. H., & Elshwadfy, L. M. (2021). Factors affecting the accuracy of construction project cost estimation in Egypt. Jordan Journal of Civil Engineering, 15(3). ‏
[5] Khodeir, L. M., & El Ghandour, A. (2019). Examining the role of value management in controlling cost overrun [application on residential construction projects in Egypt]. Ain Shams Engineering Journal, 10(3), 471-479.
[6] Mahamid, I. (2015). Factors affecting cost estimate accuracy: Evidence from Palestinian construction projects. International Journal of Management Science and Engineering Management, 10(2), 117-12. ‏
[7] Ngowtanasuwan, G. (2012). “Knowledge-Based Optimum Design” An Application of Mathematical Model for Decision in Building Plan Design. Procedia-Social and Behavioral Sciences, 68, 537-548. ‏
[8] Ngowtanasuwan, G. (2018). Applied Mathematical Approach for Decision-Making in Building Plan Design. Asian Journal of Behavioral Studies, 3(9), 39-49. ‏
[9] Piotrowski, Christine M. (2011) “Problem Solving and Critical Thinking for Designers”. John Wiley & Sons, Inc., Hoboken, New Jersey. P.14-16.
[10] Ostwald F. Phillip. (2001). “Construction Cost Analysis and Estimating”. Prentice-Hall, Inc. New Jersey. P.195-196.
[11] Cartlidge, Duncan (2009). “Quantity Surveyor’s Pocket Book” 1 st edition. Elsevier Ltd. Oxford. P.39-40.
[12] Taha Hamdy A. (1997). “Operations Research an Introduction”. Prentice-Hall International, Inc. New Jersey. P.11.
[13] Hillier S. Frederick and Lieberman J. Gerald. (1990). “Introduction to Operations Research”. 5th ed. McGraw-Hill Book Co. Singapore. P.499
[14] Balachandran M. (1996). “Knowledge-Based OptimumDesign”. Computation Mechanics Publications 1993. Southampton UK and Boston USA. 35-49.
JES. Journal of Engineering Sciences
Volume 50, Issue 5 - Serial Number 5
September and October 2022
Pages 12-24

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