Design Errors’ Impact on Construction Project Costs
Main Article Content
Abstract
The construction industry is facing significant issues due to design errors, which can result in cost overruns, rework and safety hazards. Despite strict rules and procedures, errors are still prevalent and organisations need to address the problem adequately. This research aimed to investigate the impacts of design errors on the cost of a construction project. To achieve this, three objectives were set, namely (1) to identify the cause of design errors in the construction industry, (2) to investigate the impacts of design errors on construction projects and (3) to propose ways to mitigate design errors. A quantitative methodology and simple random sampling were used to collect and analyse data from architects, engineers, contractors and quantity surveyors. A total of 159 responses were collected. They were then analysed using descriptive, inferential statistics and the relative importance index (RII). The results indicated that human-related factors were significant contributors to these errors. The study also identified that design errors affected overall project cost, delayed project completion and decreased project quality. The utilisation of 3D modelling software, documenting and tracking design changes and using experienced and qualified design professionals is recommended to mitigate these risks. This study underscores the critical role of design in construction project success and provides recommendations for preventing design errors and improving project outcomes.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Abbas, J. (2020). Impact of total quality management on corporate sustainability through the mediating effect of knowledge management. Journal of Cleaner Production, 244: 118806. https://doi.org/10.1016/j.jclepro.2019.118806
Abdelrazik, H. and Marzouk, M. (2021). Investigating parameters affecting maintenance of heritage buildings in Egypt. International Journal of Building Pathology and Adaptation, 39(5): 734–755. https://doi.org/10.1108/IJBPA-09-2020-0078
Abioye, S.O., Oyedele, L.O., Akanbi, L., Ajayi, A., Delgado, J.M.D., Bilal, M. and Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44: 103299. https://doi.org/10.1016/j.jobe.2021.103299
Ackah, D. (2020). The influences on Ghanaian government project failure. Dama Academic Scholarly Journal of Researchers (DASJR), 5(4): 26–36.
Ajayi, O. (2022). Relevance of risk management in the delivery of construction projects in developing countries. Lautech Journal of Civil and Environmental Studies, 8(2): 62–71. https://doi.org/10.36108/laujoces/2202.80.0270
Al Hattab, M. and Hamzeh, F. (2018). Simulating the dynamics of social agents and information flows in BIM-based design. Automation in Construction, 92: 1–22. https://doi.org/10.1016/j.autcon.2018.03.024
Alaloul, W.S., Liew, M.S., Zawawi, N.A.W.A. and Kennedy, I.B. (2020). Industrial revolution 4.0 in the construction industry: Challenges and opportunities for stakeholders. Ain Shams Engineering Journal, 11(1): 225–230. https://doi.org/10.1016/j.asej.2019.08.010
Al-Janabi, A.M., Abdel-Monem, M.S. and El-Dash, K.M. (2020). Factors causing rework and their impact on projects’ performance in Egypt. Journal of Civil Engineering and Management, 26(7): 666–689. https://doi.org/10.3846/jcem.2021.14331
Alpala, L.O., Alemany, M.D.M.E., Peluffo-Ordóñez, D.H., Bolaños, F.A., Rosero, A.M. and Torres, J.C. (2018). Methodology for the design and simulation of industrial facilities and production systems based on a modular approach in an “Industry 4.0” context. DYNA, 85(207), 243–252. https://doi.org/10.15446/dyna.v85n207.68545
Amoatey, C.T., Ameyaw, Y.A., Adaku, E. and Famiyeh, S. (2015). Analysing delay causes and effects in Ghanaian state housing construction projects. International Journal of Managing Proįects in Business, 8(1): 198–214. https://doi.org/10.1108/IJMPB-04-2014-0035
Aslam, M., Baffoe-Twum, E.E. and Saleem, F. (2019). Design changes in construction projects causes and impact on the cost. Civil Engineering Journal, 5(7): 1647–1655. https://doi.org/10.28991/cej-2019-03091360
Asiedu, R.O. and Ameyaw, C. (2021). A system dynamics approach to conceptualise causes of cost overrun of construction projects in developing countries. International Journal of Building Pathology and Adaptation, 39(5): 831–851. https://doi.org/10.1108/IJBPA-05-2020-0043
Babalola, O., Ibem, E.O. and Ezema, I.C. (2019). Implementation of lean practices in the construction industry: A systematic review. Building and Environment, 148: 34–43. https://doi.org/10.1016/j.buildenv.2018.10.051
Barkow, B. (2005). Human Factors Underlying Building Failures. Ontario: National Research Council of Canada.
Bhattacharjee, J. (2018). Ǫuality control and quality assurance in building construction. International Research Journal of Management Science and Technology, 9(4): 10–16. https://doi.org/10.32804/IRJMST
Boddupalli, C., Sadhu, A., Azar, E.R. and Pattison, S. (2019). Improved visualisation of infrastructure monitoring data using building information modelling. Structure and Infrastructure Engineering, 15(9): 1247–1263. https://doi.org/10.1080/15732479.2019.1602150
Brown, T. (2009). Design thinking. Harvard Business Review, 87(6): 84–92.
Çakmak, P. and Tezel, E. (2019). A guide for risk management in construction projects: Present knowledge and future directions. In A. Gajewska, B. Chichoyan and K. Boguszewicz-Kreft (eds.), Risk Management Treatise for Engineering Professionals. London: IntechOpen. https://doi.org/10.5772/intechopen.84361
Chia, F.C., Skitmore, M., Runeson, G. and Bridge, A. (2012). An analysis of construction productivity in Malaysia. Construction Management and Economics, 30(12): 1055–1069. https://doi.org/10.1080/01446193.2012.711910
Couto, J.P. (2012). Identifying the reasons for the project design errors in the Portuguese construction industry. Academic Research International, 3(2): 163.
Creswell, J.W. and Creswell, J.D. (2018). Research Design: Ǫualitative, Ǫuantitative and Mixed Methods Approaches. 5th Ed. Thousand Oaks, CA: SAGE Publications.
Dandan, T.H., Sweis, G., Sukkari, L.S. and Sweis, R.J. (2020). Factors affecting the accuracy of cost estimate during various design stages. Journal of Engineering, Design and Technology, 18(4): 787–819. https://doi.org/10.1108/JEDT-08-2019-0202
Dehdasht, G., Ferwati, M.S., Abidin, N.Z. and Oyedeji, M.O. (2022). Trends of construction industry in Malaysia and its emerging challenges. Journal of Financial Management of Property and Construction, 27(2): 161–178. https://doi.org/10.1108/JFMPC-08-2020-0054
Dekker, S. (2017). The Field Guide to Understanding Human Error. 3rd Ed. Boca Raton, FL: CRC Press.
Design Management Institute (2017). The Design Value Index. Boston: Design Management Institute. Available at: https://dmi.org/dmi/files/2017-Design-Value-Index-Report.pdf [Accessed on 15 September 2025].
Dick-Sagoe, C., Lee, K.Y., Odoom, D. and Boateng, P.O. (2023). Stakeholder perceptions on causes and effects of public project failures in Ghana. Humanities and Social Sciences Communications, 10(1): 1–9.
Ding, Z., Liu, S., Liao, L. and Zhang, L. (2019). A digital construction framework integrating building information modelling and reverse engineering technologies for renovation projects. Automation in Construction, 102: 45–58. https://doi.org/10.1016/j.autcon.2019.02.012
Dosumu, O., Idoro, G. and Onukwube, H. (2017). Causes of errors in construction contract documents in Southwestern, Nigeria. Journal of Construction Business and Management, 1(2): 11–23. https://doi.org/10.15641/jcbm.1.2.59
Eja, K.M. and Ramegowda, M. (2020). Government project failure in developing countries: A review with particular reference to Nigeria. Global Journal of Social Sciences, 19: 35–47. https://doi.org/10.4314/gjss.v19i1.4
Fatawu, I.A.A., Sidik, M.A. and Fortunatus, M. (2020). Assessing the factors that cause poor quality of design and contract documentation and the influence on project implementation in Ghana. Civil and Environmental Research, 12(7): 78–89. https://doi.org/10.7176/CER/12-7-08
Ford, D.N. and Lyneis, J.M. (2020). System dynamics applied to project management: A survey, assessment, and directions for future research. In B. Dangerfield (ed.), System Dynamics: Theory and Applications. New York: Springer, 285–314. https://doi.org/10.1007/978-1-4939-8790-0_658
Fuadie, D.F., Rahmawati, Y. and Utomo, C. (2017). Factors of design errors in construction project (A review). IPTEK Journal of Proceedings Series, 3(6): 284–188. https://doi.org/10.12962/j23546026.y2017i6.3263
Fullerton, C., Tamer, A., Banerjee, S., Alsharef, A. and Jaselskis, E. (2021). Development of North Carolina Department of Transportation’s clear program for enhanced project performance. Transportation Research Record: Journal of the Transportation Research Board, 2675(7): 222–234. https://doi.org/10.1177/0361198121995195
Gamil, Y. and Rahman, I.A. (2020). Assessment of critical factors contributing to construction failure in Yemen. International Journal of Construction Management, 20(5): 429–436. https://doi.org/10.1080/15623599.2018.1484866
Gurgun, A.P. and Koc, K. (2023). The role of contract incompleteness factors in project disputes: A hybrid fuzzy multi-criteria decision approach. Engineering, Construction and Architectural Management. 30(9): 3895–3926. https://doi.org/10.1108/ECAM-11-2021-1020
Gomarn, P. and Pongpeng, J. (2018). Project failure indicators: Perceptions of Thai and Malaysian engineers. Matec Web of Conferences, 192: 02021. https://doi.org/10.1051/matecconf/201819202021
Han, S., Love, P. and Peña-Mora, F. (2013). A system dynamics model for assessing the impacts of design errors in construction projects. Mathematical and Computer Modelling, 57(9–10): 2044–2053. https://doi.org/10.1016/j.mcm.2011.06.039
Hesna, Y., Sunaryati, J. and Hidayati, A. (2021). COVID-19 pandemic impact: An identification of the cause of cost overrun in construction project. E3S Web of Conferences, 331: 01014. https://doi.org/10.1051/e3sconf/202133101014
Hossain, M.J. and Karim, M.A. (2020). The role of building information modelling (BIM) in reducing design errors in construction projects. Journal of Civil Engineering and Management, 26(1): 41–48.
Hull, J. and Ewart, I.J. (2020). Conservation data parameters for BIM-enabled heritage asset management. Automation in Construction, 119: 103333. https://doi.org/10.1016/j.autcon.2020.103333
Islam, R., Nazifa, T.H., Mohammed, S.F., Zishan, M.A., Yusof, Z.M. and Mong, S.G. (2021). Impacts of design deficiencies on maintenance cost of high-rise residential buildings and mitigation measures. Journal of Building Engineering, 39: 102215. https://doi.org/10.1016/j.jobe.2021.102215
Jafari, K.G., Sharyatpanahi, N.S.G. and Noorzai, E. (2021). BIM-based integrated solution for analysis and management of mismatches during construction. Journal of Engineering, Design and Technology, 19(1): 81–102. https://doi.org/10.1108/JEDT-02-2020-0044
Keshk, A.M., Maarouf, I. and Annany, Y. (2018). Special studies in managing construction project risks, risk concepts, plan building, risk quantitative and qualitative analysis and risk response strategies. Alexandria Engineering Journal, 57(4): 3179–3187. https://doi.org/10.1016/j.aej.2017.12.003
Kimeria, N.W., Kising’u, T.M. and Oyoo, J.J. (2019). Effect of project management practices on quality control of building construction in Nairobi County. International Journal of Social Sciences and Information Technology, 6(11): 33–46.
Krejcie, R.V. and Morgan, D.W. (1970). Determining sample size for research activities. Educational and Psychological Measurement, 30(3): 607–610. https://doi.org/10.1177/001316447003000308
Kwiatek, C., Sharif, M., Li, S., Haas, C. and Walbridge, S. (2019). Impact of augmented reality and spatial cognition on assembly in construction. Automation in Construction, 108: 102935. https://doi.org/10.1016/j.autcon.2019.102935
Larsen, J.K., Shen, G.Ǫ., Lindhard, S.M. and Brunoe, T.D. (2016). Factors affecting schedule delay, cost overrun and quality level in public construction projects. Journal of Management in Engineering, 32(1): 04015032. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000391
Lee, C.K., Chai, C., Bujna, M., Fauzi, M.A. and Boo, Y.Ǫ. (2024). Understanding the causes of design errors in construction projects: A DEMATEL-based framework. Journal of Legal Affiairs and Dispute Resolution in Engineering and Construction, 16(2): 04524002. https://doi.org/10.1061/jladah.ladr-1118
Leng, J., Wang, D., Shen, W., Li, X., Liu, Ǫ. and Chen, X. (2021). Digital twins-based intelligent manufacturing system design in Industry 4.0: A review. Journal of Manufacturing Systems, 60: 119–137. https://doi.org/10.1016/j.jmsy.2021.05.011
Leveson, N., Dulac, N., Zipkin, D., Cutcher-Gershenfeld, J., Carroll, J. and Barrett, B. (2017). Engineering resilience into safety-critical systems. In E. Hollnagel, D.D. Woods and N. Leveson (eds.), Resilience Engineering: Concepts and Precepts. Aldershot: Ashgate, 95–123. https://doi.org/10.1201/9781315605685-12
Li, Y. and Taylor, T.R. (2014). Modeling the impact of design rework on transportation infrastructure construction project performance. Journal of Construction Engineering and Management, 140(9). https://doi.org/10.1061/(ASCE)CO.1943-7862.0000878
Love, P.E., Smith, J., Ackermann, F. and Irani, Z. (2019). Making sense of rework and its unintended consequence in projects: The emergence of uncomfortable knowledge. International Journal of Proįect Management, 37(3): 501–516. https://doi.org/10.1016/j.ijproman.2019.02.004
Lyu, Z., Chai, J., Xu, Z., Ǫin, Y. and Cao, J. (2019). A comprehensive review of reasons for tailings dam failures based on case history. Advances in Civil Engineering, 2019: 4159306. https://doi.org/10.1155/2019/4159306
Mahazir, M., Rahman, R.A., Zainudin, N.M. and Salleh, S. (2024). Construction project failure: Investigating causes of ineffective building information modelling execution plans. Planning Malaysia: Journal of the Malaysian Institute of Planners, 22(3): 47–62. https://doi.org/10.21837/pm.v22i32.1492
Mallawaarachchi, H. and Senaratne, S. (2015). Importance of quality for construction project success. Paper presented at the 6th International Conference on Structural Engineering and Construction Management (ICSECM 2015). Kandy, Sri Lanka, 11–13 December.
Mao, S., Wang, B., Tang, Y. and Ǫian, F. (2019). Opportunities and challenges of artificial intelligence for green manufacturing in the process industry. Engineering, 5(6): 995–1002. https://doi.org/10.1016/j.eng.2019.08.013
Michael, T.P. and VanBuren, R. (2020). Building near-complete plant genomes. Current Opinion in Plant Biology, 54: 26–33. https://doi.org/10.1016/j.pbi.2019.12.009
Mishra, S.P., Mishra, S. and Siddique, M. (2020). Lean labour in AEC industry: From theory to implementation. International Journal of Recent Technology and Engineering, 8(6): 1159–1169. https://doi.org/10.35940/ijrte.F7267.038620
Mishra, K. and Aithal, P.S. (2022). Causes and effects of design change of construction projects. International Journal of Applied Engineering and Management Letters (IJAEML), 6(1): 87–99. https://doi.org/10.5281/zenodo.6085346
Mohammad, K.H., Ali, N.S. and Najm, B.M. (2021). Assessment of the cost and time impact of variation orders on construction projects in Sulaimani Governorate. Journal of Engineering, 27(2): 106–125. https://doi.org/10.31026/j.eng.2021.02.08
Mohamed, O., Nour, M., Elazizy, I. and Hagras, M. (2020). A suggested module for risk framework of water control construction projects using qualitative and quantitative techniques. International Journal of Engineering and Advanced Technology, 9(3):1448–1454. https://doi.org/10.35940/ijeat.c5108.029320
Muhamad, N.H. and Mohammad, M.F. (2018). Impact of design changes in construction project. Malaysian Journal of Sustainable Environment, 4(1): 1–18.
Murunga, E. (2023). Credit risks management practices and performance of real estate construction housing projects in Kenya: A case of real estate construction housing projects in Busia County. Journal of Entrepreneurship and Proįect Management, 8(2): 29–48. https://doi.org/10.47941/jepm.1468
Ndekugri, I., Ankrah, N.A. and Adaku, E. (2022). The design coordination role at the pre-construction stage of construction projects. Building Research and Information, 50(4): 452–466. https://doi.org/10.1080/09613218.2021.1971061
Osman, Z., Omran, A. and Foo, C.K. (2009). The potential effects of variation orders in construction projects. Journal of Engineering, 2: 141–152.
Palma-Oliveira, J.M., Trump, B.D., Wood, M.D. and Linkov, I. (2018). Community-driven hypothesis testing: A solution for the tragedy of the anticommons. Risk Analysis, 38(3): 620–634. https://doi.org/10.1111/risa.12860
Pan, Y. and Zhang, L. (2023). Integrating BIM and AI for smart construction management: Current status and future directions. Archives of Computational Methods in Engineering, 30: 1081–1110. https://doi.org/10.1007/s11831-022-09830-8
Peansupap, V. and Ly, R. (2015). Evaluating the impact level of design errors in structural and other building components in building construction projects in Cambodia. Procedia Engineering, 123: 370–378. https://doi.org/10.1016/j.proeng.2015.10.049
Robin, V., Rose, B. and Girard, P. (2007). Modelling collaborative knowledge to support engineering design project manager. Computers in Industry, 58(2):188–198. https://doi.org/10.1016/j.compind.2006.09.006
RIBA (The Royal Institute of British Architects) (2020). RIBA Plan of Work 2020. London: RIBA.
Sacks, R., Wang, Z., Ouyang, B., Utkucu, D. and Chen, S. (2022). Towards artificially intelligent cloud-based building information modelling for collaborative multidisciplinary design. Advanced Engineering Informatics, 53: 101711. https://doi.org/10.1016/j.aei.2022.101711
Sakib, S.N. (2021). Critical success factors in construction industry. OSF Preprints. https://doi.org/10.31224/osf.io/dfsyn
Seymour, B. (2020). Get it right the first time. Plumbing Connection, 32–34.
Shamsuddin, K.A., Ani, M.N.C., Ismail, A.K. and Ibrahim, M.R. (2015). Investigation of the Safety, Health and Environment (SHE) protection in construction areas. International Research Journal of Engineering and Technology, 2(6): 624–636.
Shneiderman, B. (2020). Human-centred artificial intelligence: Three fresh ideas. AIS Transactions on Human-Computer Interaction, 12(3): 109–124. https://doi.org/10.17705/1thci.00131
Shoar, S., Yiu, T.W., Payan, S. and Parchamijalal, M. (2023). Modelling cost overrun in building construction projects using the interpretive structural modelling approach: A developing country perspective. Engineering, Construction and Architectural Management, 30(2): 365-392. https://doi.org/10.1108/ECAM-08-2021-0732
Siraj, N.B. and Fayek, A.R. (2019). Risk identification and common risks in construction: Literature review and content analysis. Journal of Construction Engineering and Management, 145(9): 03119004. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001685
Sokol, M.B. (2020). Mindful design of the sole practitioner consultancy. Consulting Psychology Journal: Practice and Research, 72(1): 27. https://doi.org/10.1037/cpb0000153
Taylor, J.R. (2007). Statistics of design error in the process industries. Safety Science, 45(1–2): 61–73. https://doi.org/10.1016/j.ssci.2006.08.013
Yap, J.B. H., Rou Chong, J., Skitmore, M. and Lee, W.P. (2020). Rework causation that undermines safety performance during production in construction. Journal of Construction Engineering and Management, 146(9): 04020106. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001902
Ye, G., Jin, Z., Xia, B. and Skitmore, M. (2015). Analysing causes for reworks in construction projects in China. Journal of Management in Engineering, 31(6): 04014097. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000347
Zhang, S., Sunindijo, R.Y., Wang, J., Su, Z., Ke, Y. and Liu, X. (2025). The causation of design error in the construction industry: A multistakeholder perspective. Journal of Performance of Constructed Facilities, 39(1): 04024055. https://doi.org/10.1061/JPCFEV.CFENG-4862