AECO ENDÜSTRİSİNDE YENİ PERSPEKTİFLER VE I 4.0 DÖNÜŞÜMÜ İÇİN ÇOK KRİTERLİ KARAR VERME İLE RİSK İNDİRGEME

Yıl 2025, Cilt: 9 Sayı: 2, 382 - 403, 30.12.2025

Fatmanur Erdoğan Aslan , Burcu Yılmaz Kaya

https://doi.org/10.56554/jtom.1719400

Öz

AECO endüstrisi, ülkelerin ekonomik büyümelerine büyük katkı sağlayan önde gelen sektörlerden biridir. Endüstri 4.0, emek yoğun bu sektörde dijital dönüşümün önünü açmıştır. Dijitalleştirilmiş operasyonlar ile proje yönetiminde kesinlik, süreç standardizasyonu, iş akışında iyileştirme, risk minimizasyonu, proaktif eylemler ve maliyet tasarrufu mümkün hale gelmiştir. Bu çalışmada, gerçek hayat uygulamalarında dijitalleşmenin etkileri ve katkıları ile dönüşüm sürecinde karşılaşılan başlıca zorluklar belirlenmiş, ayrıca uygulayıcılara ve bilimsel araştırmacılara İnşaat 4.0 süreçleriyle ilgili avantajlar ve risk faktörleri sunulmuştur. Farklı etki seviyelerine sahip çok sayıda çelişkili sorun boyutu DEMATEL (Karar Verme Deneme ve Değerlendirme Laboratuvarı) ile değerlendirilmiştir. Sonuçlar grafiksel çizimlerle açıklanmış ve araştırma çıktıları tanımlanarak ayrıntılı olarak incelenmiş, ayrıca araştırmacılar ve uygulayıcılar için uygulama risklerini azaltmak amaçlarıyla İnşaat 4.0 adaptasyon stratejileri önerilmiştir.

Anahtar Kelimeler

Endüstri 4.0 , Risk yönetimi , DEMATEL , Dönüşüm risk analizi , AECO

RISK MITIGATION FOR NEW PERSPECTIVES IN AECO INDUSTRY AND I 4.0 TRANSFORMATION WITH MULTI-CRITERIA DECISION MAKING

Öz

AECO industry is one of the leading sectors that contributes greatly to the economic growth of countries. Industry 4.0 has paved the way for digital transformation in this labour-intensive sector. With digitalised operations, certainty in project management, process standardisation, improvement in workflow, risk minimisation, proactive actions and cost saving are made possible. In this study, effects and contributions of digitalisation in the real-world applications and the main difficulties encountered in transformation process were determined, as well as, the advantages and risk factors related to Construction 4.0 processes were presented to practitioners and scientific researchers. A large number of conflicting problem dimensions with different impact levels were evaluated with DEMATEL (Decision Making Trial and Evoluation Laboratory). The results were elucidated with graphical illustrations and scrutinized in details by delineating research outcomes, as well as, Construction 4.0 adaptation strategies to mitigate application risks were suggested for both researchers and practitioners.

Anahtar Kelimeler

Industry 4.0 , Risk management , DEMATEL , Transformation risk analysis , AECO

Etik Beyan

All authors declare that research and publication ethics were complied within this study, and, that they have no conflict of interest.

Destekleyen Kurum

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

Kaynakça

• Abdel-Basset, M., Manogaran, G., Gamal, A., & Smarandache, F. (2018). A hybrid approach of neutrosophic sets and DEMATEL method for developing supplier selection criteria. Design Automation for Embedded Systems, 22(3), 257-278. doi: https://doi.org/10.1007/s10617-018-9203-6
• Abubakar, M., Ibrahim, Y. M., Kado, D. & Bala, K., (2014). Contractors' perception of the factors affecting Building Information Modelling (BIM) adoption in the Nigerian Construction Industry. Computing in Civil And Building Engineering, 167-178. doi: https://doi.org/10.1061/9780784413616.02
• Adekunle, S. A., Aigbavboa, C. O., Ejohwomu, O., Adekunle, E. A., & Thwala, W. D. (2024). Digital transformation in the construction industry: a bibliometric review. Journal of Engineering, Design and Technology, 22(1), 130-158. doi: https://doi.org/10.1108/JEDT-08-2021-0442
• Akpınar, K., Dengiz, O., & Dengiz, B. (2024). KOBİ’ler ölçeğinde endüstri 4.0 farkındalık ve olgunluk düzeyinin belirlenmesi. Journal of Turkish Operations Management, 8(2), 459-473. doi: https://doi.org/10.56554/jtom.1524092
• Aksakal, E. & Dağdeviren, M., (2010). An integrated approach to employees selection problem with ANP and DEMATEL methods, Gazi University Journal of Engineering and Architecture Faculty, 25(4). Retrieved from https://dergipark.org.tr/tr/pub/gazimmfd/issue/6686/88614
• Aladağ, H. (2022). A research on digital transformation applications in the Turkish construction sector. Journal of Engineering Sciences and Design, 10(3), 973-986. doi: https://doi.org/10.21923/jesd.1085516
• Alaloul, W. S. Liew, M. S., Zawawi, N. A. W. A. & 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. doi: https://doi.org/10.1016/j.asej.2019.08.010
• Allmon, E., Haas, C. T., Borcherding, J. D. & Goodrum, P. M. (2000). US construction labour productivity trends, 1970-1998. Journal of Construction Engineering and Management, 126(2), 97-104. doi: https://doi.org/10.1061/(ASCE)0733-9364(2000)126:2(97)
• Appinventiv, 2025. IoT in construction: 10 Transformative Use Cases and Their Impact. Retrieved from https://appinventiv.com/blog/iot-in-construction .
• Asare, K. A. B., Liu, R., Anumba, C. J., & Issa, R. R. (2024). Real-world prototyping and evaluation of digital twins for predictive facility maintenance. Journal of Building Engineering, 97. 110890. doi: https://doi.org/10.1016/j.jobe.2024.110890
• Bahadori, M. & Ramin, R. (2013). Analysis of the systematic relationships among social determinants of health and identification of their prioritisation in Iran using DEMATEL. Iranian Journal of Public Health, 42(12), 1457. Retrieved from https://pmc.ncbi.nlm.nih.gov/articles/PMC4441943/
• Barata, J., & da Cunha, P.R. (2019). Safety Is the New Black: The Increasing Role of Wearables in Occupational Health and Safety in Construction. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems. BIS 2019. Lecture Notes in Business Information Processing, vol 353. Springer, Cham. doi: https://doi.org/10.1007/978-3-030-20485-3_41
• Beddiar, K., Grellier, C. & Woods, E. (2019). Construction 4.0: réinventer le bâtiment grâce au numérique: BIM, DfMA, Lean Management, Dunod., hal-04070491 , version 1. Retrieved from https://www.encrage-librairie.com/livre/9782100790500-construction-4-0-reinventer-le-batiment-grace-au-numerique-bim-dfma-lean-management-karim-beddiar-christian-grellier-edward-woods/
• Bhuptani, M. & Moradpour, S. (2005). RFID Field Guide: Deploying Radio Frequency Identification Systems. New Jersey: Sun Microsystems Press.
• Biagini, C., Bongini, A., & Marzi, L. (2024). From BIM to digital twin. IOT data integration in asset management platform. Journal of Information Technology in Construction, 29. 1103-1127. doi: https://doi.org/10.36680/j.itcon.2024.049
• Bilal, M., Oyedele, L. O., Qadir, J., & Munir, K. (2016). Big data in the construction industry: A review of present status, opportunities, and future trends. Advanced Engineering Informatics. 30(3), 500-521. doi: https://doi.org/10.1016/j.aei.2016.07.001
• Borkowski, A. S. (2024). Digital twin conceptual framework for the operation and maintenance phase in the building’s lifecycle. Archives of Civil Engineering, 139-152. doi: https://doi.org/10.24425/ace.2024.150975
• Can, G. F. & Kilic Delice, E. (2020). An advanced human error assessment approach: HEART and AV-DEMATEL. Human Factors and Ergonomics in Manufacturing and Service Industries, 30(1), 29-49. doi: https://doi.org/10.1002/hfm.20819
• Carneiro, J. P., Varnosfaderani, M. P., Balali, V., & Heydarian, A. (2019). Comprehensible and interactive visualizations of spatial building data in augmented reality. In ASCE International Conference on Computing in Civil Engineering 2019 (pp. 79-86). Reston, VA: American Society of Civil Engineers. Retrieved from https://ascelibrary.org/doi/abs/10.1061/9780784482421.011
• Caterpillar (2025). Inside the Mind of a Caterpillar Data Scientist. Retrieved from https://www.caterpillar.com/en/news/caterpillarNews/2022/inside-the-mind-of-a-caterpillar-data-scientist.html
• Chan, D. W., Olawumi, T. O. & Ho, A. M. (2019). Critical success factors for building information modelling (BIM) implementation in Hong Kong. Engineering, Construction and Architectural Management, 26(9), 1838-1854. doi: https://doi.org/10.1108/ECAM-05-2018-0204
• Chang, B., Chang, C. W., & Wu, C. H. (2011). Fuzzy DEMATEL method for developing supplier selection criteria. Expert systems with Applications, 38(3), 1850-1858. doi: https://doi.org/10.1016/j.eswa.2010.07.114
• Dallasega, P., Rauch, E. & Linder, C. (2018).Industry 4.0 as an enabler of proximity for construction supply chains: a systematic literature review. Computers in Industry, 205-225. doi: https://doi.org/10.1016/j.compind.2018.03.039
• Dalvi-Esfahani, M., Niknafs, A., Kuss, D. J., Nilashi, M., & Afrough, S. (2019). Social media addiction: Applying the DEMATEL approach. Telematics and Informatics, 43, 101250. doi: https://doi.org/10.1016/j.tele.2019.101250
• Dehdasht, G., Ferwati, M. S., Mohandes, S. R., El-Sabek, L., & Edwards, D. J. (2023). Towards expediting the implementation of sustainable and successful lean paradigm for construction projects: a hybrid of DEMATEL and SNA approach. Engineering, Construction and Architectural Management, 30(9), 4294-4318. doi: https://doi.org/10.1108/ECAM-02-2022-0121
• Ding, X. F., & Liu, H. C. (2018). A 2-dimension uncertain linguistic DEMATEL method for identifying critical success factors in emergency management. Applied Soft Computing, 71, 386-395. doi: https://doi.org/10.1016/j.asoc.2018.07.018
• Eadie, R., McLernon, T. & Patton, A. (2015).An investigation into the legal issues relating to building information modelling (BIM). Royal Institution of Chartered Surveyors, Cobra Aubea. Retrieved from https://pure.ulster.ac.uk/en/publications/an-investigation-into-the-legal-issues-relating-to-building-infor-3/
• Erdogan Aslan, F. (2023). Industry 4.0 perspective in the construction industry: A multi- criteria analysis to examine digital transformation and challenges. Term Project, Engineering and Technology Management Programme, Gazi University Institute of Science and Technology, Ankara.
• Forceal, E., Ferrari, I., Opazo-Vega, A. & Pulido-Arcas, J. (2020). Construction 4.0: a literature review. Sustainability, 12(22), 9755. doi: https://doi.org/10.3390/su12229755
• Gabus, A. & Fontela, E. (1972).World problems an invitation to further thought within the framework of DEMATEL. Battelle Geneva Research Centre, Geneva.
• Gamil, Y., Abdullah, M., Abd Rahman, I. & Asad, M. (2020). Internet of things in construction industry revolution 4.0: Recent trends and challenges in the Malaysian context. Journal of Engineering, Design and Technology, 18(5), 1091-1102. doi: https://doi.org/10.1108/JEDT-06-2019-0164 1 Gündoğan, M., & Babayiğit, G. (2017). Operations Management TRANSFORM INTO INDUSTRY 4.0 USING SYSTEMS ENGINEER. Journal of Turkish Operations Management, 1(1), 39-50. Retrieved from https://dergipark.org.tr/en/pub/jtom/issue/40160/477707
• Haghighat, N. (2017). Evaluating airline service quality using fuzzy DEMATEL and ANP. Strategic Public Management Journal, 3(6), 57-77. doi: https://doi.org/10.25069/spmj.351296
• Hewage, K. N., Ruwanpura, J. Y. & Jergeas, G. F. (2008). IT usage in Alberta's building construction projects: current status and challenges. Automation in Construction, 17(8), 940- 947. doi: https://doi.org/10.1016/j.autcon.2008.03.002
• Hossain, M. & Nadeem, A. (2019).Towards digitising the construction industry: state of the art of construction 4.0. In proceeding of the ISEC, Astana, 10. 1-6. doi: https://doi.org/10.14455/ISEC.res.2019.184
• Karmakar, A. & Delhi, V. K. (2021). Construction 4.0: what we know and where we headed? Journal of Information Technology in Construction, 26. doi: https://doi.org/10.1051/matecconf/201820302011
• Kılıç Delice, E. & Zegerek, S. (2016). Ranking occupational risk levels of emergency departments using a new fuzzy MCDM model: A case study in Turkey. Applied Mathematics and Information Sciences, 10(6), 2345-2356. doi: https://doi.org/10.18576/amis/100638
• Kim, C., Kim, H., Han, S. H., Kim, C., Kim, M. K. & Park, S. H. (2009). Developing a technology roadmap for construction RandD through interdisciplinary research efforts. Automation in Construction, 18(3), 330-337. doi: https://doi.org/10.1016/j.autcon.2008.09.008
• Koç, K. & Gürgün, A. P. (2022). Ambiguity factors in construction contracts entailing conflicts. Engineering, Construction and Architectural Management, 29(5), 1946-1964. doi: https://doi.org/10.56554/jtom.1505796
• Li, X., Li, J., He, J., Huang, Y., Liu, X., Dai, J., & Shen, Q. (2024). What are the key factors of enterprises' greenwashing behaviors under multi-agent interaction? A grey-DEMATEL analysis from Chinese construction materials enterprises. Engineering, Construction and Architectural Management, 31(11), 4659-4676. doi: https://doi.org/10.1108/ECAM-01-2023-0027
• Lin, C. L., & Tzeng, G. H. (2009). A value-created system of science (technology) park by using DEMATEL. Expert systems with applications, 36(6), 9683-9697. doi: https://doi.org/10.1016/j.eswa.2008.11.040
• Lionel M., Liu Y., Yiu C. L. & Abhishek P. P. (2004). LANDMARC: Indoor Location Sensing Using Active RFID. Kluwer Academic Publishers. doi: https://doi.org/10.1109/PERCOM.2003.1192765
• Ling, F. Y., Ibbs, C. W. & Hoo, W. Y. (2006). Determinants of international architectural, engineering, and construction firms' project success in China. Journal of Construction Engineering and Management, 132(2), 206-214. doi: https://doi.org/10.1061/(ASCE)0733-9364(2006)132:2(206)
• Liu, T., Deng, Y. & Chan, F. (2018). Evidential supplier selection based on on DEMATEL and game theory. International Journal of Fuzzy Systems, 20 (4), 1321-1333. doi: https://doi.org/10.1007/s40815-017-0400-4
• Mantha, B. R. & de Soto, B. G. (2019).Cyber security challenges and vulnerability assessment in the construction industry. Creative Construction Conference, Budapest University of Technology and Economics, 29-37. doi: https://doi.org/10.3311/CCC2019-005
• Maskurity, R., Selamat, A., Ali, K. N., Maresova, P. & Krejcar, O. (2019). How ready is the industry? Applied Sciences, 9(14), 2819. doi: https://doi.org/10.3390/app9142819
• Mousavizade, F., & Shakibazad, M. (2019). Identifying and ranking CSFs for KM implementation in urban water and sewage companies using ISM-DEMATEL technique. Journal of Knowledge Management, 23(1), 200-218. doi: https://doi.org/10.1108/JKM-05-2018-0321
• Oesterreich, T. & Teuteberg, F. (2016). Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Computers in Industry, 83.121-139. doi: https://doi.org/10.1016/j.compind.2016.09.006
• Panya, D. S., Kim, T. & Choo, S. (2023). An interactive design change methodology using a BIM-based Virtual Reality and Augmented Reality. Journal of Building Engineering, 68. 106030. doi: https://doi.org/10.1016/j.jobe.2023.106030
• Parracho, D. F. R., Nour El-Din, M., Esmaeili, I., Freitas, S. S., Rodrigues, L., Poças Martins, J., Corvacho, H., Delgado, J. M. P. Q., & Guimarães, A. S. (2025). Modular Construction in the Digital Age: A Systematic Review on Smart and Sustainable Innovations. Buildings, 15(5), 765. doi: https://doi.org/10.3390/buildings15050765
• Patel, T. & Patel, V. (2020). Data privacy in construction industry by privacy-preserving data mining (PPDM) approach. Asian Journal of Civil Engineering, 21(3), 505-515. doi: https://doi.org/10.1007/s42107-020-00225-3 Pereira, P. F., Vidal, J., & Ramos, N. M. (2024). Enhancing hygrothermal monitoring of wet construction with digital twins. Building and Environment, 262. 111843. doi: https://doi.org/10.1016/j.buildenv.2024.111843
• Piras, G., Muzi, F., & Tiburcio, V. A. (2024). Digital management methodology for building production optimization through digital twin and artificial intelligence integration. Buildings, 14(7), 2110. doi: https://doi.org/10.3390/buildings14072110
• Sargiotis, D. (2025). Harnessing Digital Twins in Construction: A Comprehensive Review of Current Practices, Benefits, and Future Prospects. International Journal of Research Publication and Reviews. 6, 3806-3837. doi: https://doi:10.55248/gengpi.6.0125.0527
• Schiavi, B., Havard, V., Beddiar, K. & Baudry, D. (2022). BIM data flow architecture with AR/VR technologies: Use cases in architecture, engineering and construction. Automation in Construction, 134. 104054. doi: https://doi.org/10.1016/j.autcon.2021.104054
• Shahpari, M., Saradj, F. M., Pishvaee, M. S. & Piri, S. (2020). Assessing the productivity of prefabricated and in-situ construction systems using hybrid multi-criteria decision making method. Journal of Building Engineering, 27. 100979. doi: https://doi.org/10.1016/j.jobe.2019.100979
• Shakerian, M., Choobineh, A., Jahangiri, M., Alimohammadlou, M. & Nami, M. (2019). Introducing a new model for individual cognitive factors influencing human error based on DEMATEL approach. Journal of Ergonomics, 6(4), 66-74. doi: https://doi.org/10.30699/jergon.6.4.66
• Shaukat, N., Sadıç, Ş. & Demir, E. (2024). Evaluation of public transportation sustainability factors in Twin Cities of Pakistan: a DEMATEL analysis. Journal of Turkish Operations Management (JTOM), 8(2), 426 - 441. doi: https://doi.org/10.56554/jtom.1505796
• Skanska (2005) Take a Seat: How Technology and Data are Revolutionising the Construction Industry. Retrieved from https://www.skanska.co.uk/about-skanska/news-and-events/features/take-a-seat-how-technology-and-data-are-revolutionising-the-construction-industry/
• Tabatabaee, S., Mahdiyar, A. & Ismail, S. (2021). Towards the success of Building Information Modelling implementation: A fuzzy-based MCDM risk assessment tool. Journal of Building Engineering, 43. 103117. doi: https://doi.org/10.1016/j.jobe.2021.103117
• Tsai, W. H. & Chou, W. C. (2009). Selecting management systems for sustainable development in SMEs: A novel hybrid model based on DEMATEL, ANP, and ZOGP. Expert systems with applications, 36(2), 1444-1458. doi: https://doi.org/10.1016/j.eswa.2007.11.058
• Turner Construction, 2025. Turning Cranes into Smart Devices with AI and IOT Technology. Retrieved from https://www.turnerconstruction.com/insights/turning-cranes-into-smart-devices-with-ai-and-iot
• Wang, K., Guo, F., Zhang, C. & Schaefer, D. (2022). From industry 4.0 to construction 4.0: Barriers to the digital transformation of engineering and construction sectors. Engineering, Constructions and Architectural Management, 1197. doi: https://doi.org/10.1108/ECAM-05-2022-0383