Analysis of Cost Overrun & Time Overrun Causal Factors Affecting Construction Project Cost Performance Using Dematel & ANP

Authors

  • Ayu Adryani Institut Teknologi Sepuluh Nopember, Indonesia
  • Tatang Akhmad Taufik Institut Teknologi Sepuluh Nopember, Indonesia
  • Haryo Dwito Armono Institut Teknologi Sepuluh Nopember, Indonesia

DOI:

https://doi.org/10.38035/dijefa.v5i5.3613

Keywords:

DEMATEL, ANP, cost overrun, time overrun

Abstract

The estimation of project costs and completion timelines are crucial aspects that need to be accurately predicted, as they are key indicators of a project's success. Issues like cost overruns and delays in project completion have become common in the construction industry. PT XYZ, a mining construction company, encountered a cost overrun in May 2023, leading to a 21.6% increase in the budget. According to the initial project baseline, it was expected to be completed by September 2023, but faced an 8-month delay. This study aims to explore the external factors causing cost and time overruns, identify the most significant factors, and propose recommendations to reduce these issues. The research methods used are Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytical Network Process (ANP) to examine the relationship between the factors and determine the most dominant one. Data was collected through questionnaires, and a threshold was set via a Focus Group Discussion (FGD) with experienced professionals in construction who played a key role in project decisions. The DEMATEL analysis, with a threshold of 0.5000, produced a relationship diagram of the criteria, and the ANP analysis, conducted using SuperDecisions software, revealed that the most influential factor affecting cost and time overruns is the accuracy of the Scope of Work (SOW) . As a result, it is recommended that PT XYZ improve project management and ensure higher accuracy in defining the SOW for future projects

References

Alhammadi, Y., Al-Mohammad, M. S., & Rahman, R. A. (2024). Modeling the Causes and Mitigation Measures for Cost Overruns in Building Construction: The Case of Higher Education Projects. Buildings, 14(2), 487. https://doi.org/10.3390/buildings14020487

Anugerah, B. P. (2022). Cost Overrun Akibat Desain, Estimasi, dan Rework Setelah Implementasi Konstruksi Digital Pada Kinerja Biaya Konstruksi Gedung Indonesia. Jurnal Aplikasi Teknik Sipil, 20(2), 181–192. https://doi.org/10.12962/j2579-891X.v20i2.11596

Büyüközkan, G., & Güleryüz, S. (2016). An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey. International Journal of Production Economics, 182, 435–448. https://doi.org/10.1016/j.ijpe.2016.09.015

Enshassi, A., & Ayyash, A. (2014). Factors affecting cost contingency in the construction industry–Contractors’ perspective. International Journal of Construction Management, 14(3), 191–208. https://doi.org/10.1080/15623599.2014.922729

Gunawan, S., & Hakim, E. A. (2023). Pelaksanaan Konstruksi Bangunan Gedung. Seminar Keinsinyuran Program Studi Program Profesi Insinyur, 3(1).

Kaming, P. F., Koesmargono, A., & Aji, B. W. (2019). Delay model for Engineering Procurement Construction (EPC): a case of Liquefied Natural Gas (LNG) projects in Indonesia. MATEC Web of Conferences, 270, 05010. https://doi.org/10.1051/matecconf/201927005010

Kumar, S., & Thakkar, J. J. (2017). Schedule and cost overrun analysis for R&D projects using ANP and system dynamics. International Journal of Quality & Reliability Management, 34(9), 1551–1567. https://doi.org/10.1108/IJQRM-04-2016-0050

Li, L. (2022). The analysis on influencing factor of cost control of EPC project based on the DEMATEL-ISM. Stavební Obzor-Civil Engineering Journal, 31(1), 66–84. https://doi.org/10.14311/CEJ.2022.01.0006

Limantoro, C., Andi, A., & Rahardjo, J. (2023). Analisa Faktor Cost Overruns dengan Metode Interpretive Structural Modelling pada Beberapa Proyek Konstruksi di Indonesia. Dimensi Utama Teknik Sipil, 10(1), 20–37. https://doi.org/10.9744/duts.10.1.20-37

Nurlia, R., Yureana, W., & Putri, A. (2023). Study of factors affecting construction quality, cost, and time in building project using analytical hierarchy process (AHP). E3S Web of Conferences, 429, 01008. https://doi.org/10.1051/e3sconf/202342901008

Sampaio, A. Z. (2022). Project management in office: BIM implementation. Procedia Computer Science, 196, 840–847. https://doi.org/10.1016/j.procs.2021.12.083

Shanmugapriya, S., & Subramanian, K. (2013). Investigation of significant factors influencing time and cost overruns in Indian construction projects. International Journal of Emerging Technology and Advanced Engineering, 3(10), 734–740.

Shehu, Z., Endut, I. R., & Akintoye, A. (2014). Factors contributing to project time and hence cost overrun in the Malaysian construction industry. Journal of Financial Management of Property and Construction, 19(1), 55–75. https://doi.org/10.1108/JFMPC-04-2013-0009

Yang, C.-H., Chen, Y.-C., Hsu, W., & Chen, Y.-H. (2023). Evaluation of smart long-term care information strategy portfolio decision model: The national healthcare environment in Taiwan. Annals of Operations Research, 326(1), 505–536. https://doi.org/10.1007/s10479-023-05358-7

Zhang, J., Cheng, J. C. P., Chen, W., & Chen, K. (2022). Digital twins for construction sites: Concepts, LoD definition, and applications. Journal of Management in Engineering, 38(2), 04021094. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000948

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Published

2024-11-19

How to Cite

Adryani, A., Taufik , T. A. ., & Armono, H. D. . (2024). Analysis of Cost Overrun & Time Overrun Causal Factors Affecting Construction Project Cost Performance Using Dematel & ANP. Dinasti International Journal of Economics, Finance &Amp; Accounting, 5(5), 4969–4978. https://doi.org/10.38035/dijefa.v5i5.3613