Konut Projelerinin Toplam İnşaat Süresinin Hesaplanması Türkiye’de Bir Vaka Analizi

Yıl 2024, , 568 - 591, 17.03.2024

Hakan Tıratacı , Hakan Yaman

https://doi.org/10.35674/kent.1278039

Öz

Toplam inşaat süresinin doğru tahmin edilmesi için yapılan zaman planlaması, gecikmeleri önlemek ve projelerin zamanında başarıyla tamamlanması için önemlidir. Gelişmekte olan ülkeler arasında inşaat gecikmelerinin ana nedenleri farklı olsa da, proje özellikleri ile ilgili çeşitli faktörler ve işverenler de gecikmelerde rol oynamaktadır. Süre gecikmelerini belirlemek için Türkiye'nin önde gelen konut inşaatı otoritelerinden TOKİ (Toplu Konut İdaresi Başkanlığı) ile görüşmeler ve gözlemler yapılmıştır. TOKİ’nin toplam inşaat süresini tahmin etmek için sadece üç adet faktör kullandığı ortaya çıkmıştır. Bu faktörler “konut sayısı”, “ihale aşamasında kullanılan çizimlerin tipi” ve “çalışılmayan günler”dir. Tamamlanan 2800 TOKİ projesine ait detaylı bilgilerin yer aldığı “TOKİ Projeleri İzleme Cetveli”nin analizi, en çok gecikmenin konut projelerinde olduğunu göstermiştir. Bu nedenle yapılan bu vaka çalışmasında TOKİ konut projeleri için süre gecikmelerinin araştırılmasına karar verilmiştir. Vaka çalışması bulguları, TOKİ’nin kendi hesaplama yöntemine göre bulunan toplam inşaat süreleri ile işveren olarak TOKİ ile ihaleyi kazanan yükleniciler arasındaki resmi inşaat sözleşmelerinde belirtilen süreler arasında büyük bir fark olduğunu ortaya koymuştur. Bu hususta TOKİ'nin inşaat sürelerini önemli ölçüde kısalttığı ve sonuç olarak dikkate değer miktarda konut projesinin gecikmesine neden olduğu vurgulanmıştır. Bu bulgular, işverenler ve proje yöneticilerinin inşaat gecikmelerini azaltmalarına yardımcı olabilir. Gelişmekte olan ülkelerdeki inşaat gecikmelerinin etkili bir şekilde üstesinden gelmek amacıyla inşaat süresini doğru şekilde tahmin edebilen modellerin geliştirilmesi önerilmektedir.

Anahtar Kelimeler

Toplam İş Süresi, Süre Planlaması, Proje Gecikmeleri, TOKİ, Konut Projeleri, Vaka Analizi

Total Construction Duration Calculation of Housing Projects: A Turkish Case Study

Öz

Scheduling for accurate estimation of construction duration is significant to prevent construction delays and successfully complete projects on time. Although the main reasons for construction delays differ among developing countries, several factors related to project characteristics and clients contribute. In this study, interviews and observations were conducted with TOKI (Housing Development Administration of the Republic of Turkey), to explore construction delays. It was revealed that TOKI uses three factors such as “the number of flats”, “type of drawings utilized during the tender stage”, and “non-working days” to estimate total construction duration. Data analysis of the TOKI Projects Status Table, which lists detailed project information for 2800 completed TOKI projects, showed that most delays occurred in housing projects. Therefore, the construction delays for TOKI housing projects were investigated in this case study. The findings revealed that there is a wide construction duration gap between calculated construction durations using TOKI’s calculation method and durations indicated in official construction contracts between TOKI as a client and the awarded contractors. Therefore, it was emphasized that TOKI significantly shortened the construction duration, which ultimately resulted in delays for a considerable number of housing projects. These findings can be helpful for clients and project managers to mitigate construction delays. To effectively overcome construction delays in developing countries, suggestions are made to develop accurate construction duration estimation models.

Anahtar Kelimeler

Total Construction Duration, Scheduling, Project Delays, TOKI, Housing Projects, Case Study

Kaynakça

• Abal-Seqan, M.H., Pokharel, S., & Naji, K.K. (2023). Key success factors and their impact on the performance of construction projects: Case in Qatar. Sustainability, 15, 3700. https://doi.org/10.3390/ su15043700
• Adul-Hamid, R. (1996). Construction Duration Prediction Using Neural Network Methodology. PhD Thesis, University of Manchester.
• Aibinu, A. A., & Jagboro, G. O. (2002). The effects of construction delays on project delivery in Nigerian construction industry. International Journal of Project Management, 20(8), 593-599.
• Akkaynak, B. (2014). Gayrimenkul değerlemesi ve gayrimenkul değerlemesi üzerine bir uygulama (Yayınlanmamış yüksek lisans tezi). Mersin Üniversitesi.
• Al-Khalil, M. I., & Al-Ghafly, M. A. (1999). Important causes of delay in public utility projects in Saudi Arabia. Construction Management & Economics, 17(5), 647-655.
• Arditi, D., Akan, G. T., & Gurdamar, S. (1985). Reasons for delays in public projects in Turkey. Construction Management and Economics, 3, 171-181.
• Assaf, S.A., & Al-Hejji, S. (2006). Causes of delay in large construction projects. International Journal of Project Management, 24, 349-357.
• Baltacı, M.K. (2012). TOKİ’nin arsa satışı karşılığı gelir paylaşımı modeli üzerine bir inceleme (Yayınlanmamış yüksek lisans tezi). Yıldız Teknik Üniversitesi.
• Baqerin, M. H., Shafahi, Y., & Kashani, H. (2016). Application of Weibull Analysis to Evaluate and Forecast Schedule Performance in Repetitive Projects. Journal of Construction Engineering and Management, 142(2), 04015058. doi:10.1061/(asce)co.1943-7862.0001040
• Barclay, C. R. (1994). Composing proto-selves through Improvisation. U. Neisser, & R. Fivush (Eds.), The remembering self: construction and accuracy in the self-narrative (pp.55-77). Cambridge University Press.
• Bayram, S. (2017). Duration prediction models for construction projects: In terms of cost or physical characteristics?. KSCE Journal of Civil Engineering, 21(6), 2049-2060.
• Beltrão, L. M. P., & Carvalho, M. T. M. (2019). Prioritizing Construction Risks Using Fuzzy AHP in Brazilian Public Enterprises. Journal of Construction Engineering and Management, 145(2), 05018018. doi:10.1061/(asce)co.1943-7862.0001606.
• Birgonul, M.T., & Dikmen, İ. (1996). İnşaat projelerinin risk yönetimi. TMMOB İnşaat Mühendisleri Odası Teknik Dergi, 7(4), 1305-1326.
• Campos, R. B. A., & Guilhoto, J. J. M. (2017). The socioeconomic impact of low-income housing programs: An interregional input–output model for the state of Sao Paulo and the rest of Brazil. Habitat International, 65, 59-69. https://doi.org/10.1016/j.habitatint.2017.04.001
• Carr, P.G., & Beyor, P.S. (2005). Design fees, the state of the profession, and a time for corrective action. Journal of Management Engineering, 21(3), 110-117.
• Chan, D.M.W., & Kumaraswamy, M.M. (2002). Compressing construction durations: Lessons learned from Hong Kong building projects. International Journal of Project Management, 20(1), 23–35. https://doi.org/10.1016/S0263-7863(00)00032-6
• Chao, L-C., & Chien, C-F. (2010). A model for updating project s-curve by using neural networks and matching progress. Automation in Construction, 19(1), 84-91. https://doi.org/10.1016/j.autcon.2009.09.006
• Cohen, L., & Manion, L. (1994). Research methods in education (4th ed.). London: Routledge.
• Creswell, J.W. (2007). Qualitative inquiry & research design: Choosing among five approaches (2nd ed.). Thousand Oaks, CA: Sage.
• Cumhurbaşkanlığı Strateji ve Bütçe Başkanlığı. (2019). On Birinci Kalkınma Planı (2019-2023). Ankara.
• Cülfik, M.S., Sarikaya, O., & Altun, H. (2014, 21-25 Ekim). Causes of delays in construction projects in Turkey [Conference presentation]. 11th International Congress on Advances in Civil Engineering, İstanbul Technical University, Istanbul, Turkey.
• Demirci, G. (2009), İnşaat Projeleri ihalelerinde yüklenici/istekli yeterlilik değerlendirme sistemi (Yayınlanmmaış yüksek lisans tezi). Anadolu Üniversitesi.
• DiCicco-Bloom, B., & Crabtree, B.F. (2006) The qualitative research interview. Medical Education, 40(4), 314-321. doi:10.1111/ j.1365-2929.2006.02418.x
• DPT (2001). Sekizinci Kalkınma Planı (2001-2006). Ankara.
• DPT (2007). Dokuzuncu Kalkınma Planı (2007-2013). Ankara.
• Durdyev, S., Ismail, S., & Abu Bakar, N. (2012). Factors causing cost overruns in construction of residential projects: Case study of Turkey. International Journal of Science and Management, 1(1), 3-12.
• Dursun, O., & Stoy, C. (2012). Determinants of construction duration for building projects in Germany. Engineering, Construction and Architectural Management, 19(4), 444–468. 10.1108/09699981211237139
• Elinwa, A. U., & Joshua, M. (2001). Time-overrun factors in Nigerian construction industry. Journal of Construction Engineering and Management, 127(5), 419-425.
• El-khalek, H. A., Aziz, R. F., & Morgan, E. S. (2019). Identification of construction subcontractor prequalification evaluation criteria and their impact on project success. Alexandria Engineering Journal, 58(1), 217-223.
• Enshassi, A., Mohamed S., & Abushaban, S. (2009). Factors affecting the performance of construction projects in Gaza strip. Journal of Civil Engineering and Management, 15(3), 269-280.
• Fan, S.L., Yeh, I.C., & Chi, W.S. (2021). Improvement in estimating durations for building projects using artificial neural network and sensitivity analysis. Journal of Construction Engineering Management, 147(7), 04021050. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002036
• Faremi, O., Ogunsanmi, O., & Kohn, I. (2016). Factors affecting cost and time control in construction projects. Lagos Journal of Environmental Studies, 8(1), 94–102. https://ir.unilag.edu.ng/handle/123456789/8373
• FIDIC. (2017). Conditions of contract for construction (2nd Ed.). Fédération Internationale des Ingénieurs-Conseils.
• Gidado, K. (2004). Enhancing the prime contractor’s pre-construction planning. Journal of Construction Research, 5(1), 87-106.
• Haslinda, A.N., Xian, T.W., Norfarahayu, K., Hanafi, R.M., & Fikri, H.M. (2018). Investigation on the factors influencing construction time and cost overrun for high-rise building projects in Penang. IOP Conference Series: Journal of Physics, 995, 012043.
• Hesse-Biber, S.N., & P. Leavy. (2006). The practice of qualitative research. Thousand Oaks, CA: Sage.
• Ibironke, O.T., & Elamah, D. (2011). Factors affecting time, cost and quality management in building construction projects. FUTY Journal of the Environment, 6(1), 1-9.
• Ireland, V. (1985). The role of managerial actions in the cost, time and quality performance of high-rise commercial building projects. Construction Management and Economics, 3(1), 59-87.
• Ismail, S. (2013). Factors Attracting the Use of Public Private Partnership in Malaysia. Journal of Construction in Developing Countries, 18(1), 95-108.
• Issa, U.H. (2013). Implementation of lean construction techniques for minimizing the risks effect on project construction time. Alexandria Engineering Journal, 52, 697-704. http://dx.doi.org/10.1016/j.aej.2013.07.003
• Jin, R.Z., Han, S.W., Hyun, C.T., & Cha, Y.W. (2016). Application of case-based reasoning for estimating preliminary duration of building project. Journal of Management in Engineering, 142(2), 04015082-1-8.
• Kallio, H., Pietil, A A.-M., Johnson, M., & Kangasniemi, M. (2016). A systematic methodological review: Developing a framework for a qualitative semi-structured interview guide. Journal of Advanced Nursing, 72(12), 2954-2965. doi: 10.1111/jan.13031
• Kaplan, S. (2012). İdeal bir kamu ihale kanunu ve ideal bir kamu ihale kurumu ve kurulu nasıl olmalıdır? Fonksiyonel bir model çalışması. Maliye Dergisi, 162, 18-50.
• Karapınar, O. (2005). 2886 ve 4734 sayılı ihale kanunlarının incelenmesi ve yapım işlerinde 4734 sayılı kamu ihale kanunun uygulanmasında karşılaşılan sorunlar için çözüm önerileri (Yayınlanmamış yüksek lisans tezi). İstanbul Teknik Üniversitesi.
• Kazaz, A., Ulubeyli, S., & Tunçbilekli, N.A. (2012). Causes of delays in construction projects in Turkey. Journal of Civil Engineering and Management, 18(3), 426-435.
• Khoshgoftar, M., Abu Bakar, A.H., & Osman, O. (2010). Causes of delays in Iranian construction projects. International Journal of Construction Management, 10(2), 53-69.
• Köktaş, A., Karaosmanoğlu, F., & Bilgiç, F.K. (2009). Kamu ihaleleri ve etik. Yolsuzluğun önlenmesi için etik projesi. Akademik Araştırma Çalışması.
• Lee, H., Shin, J., Park, M., & Ryu, H.-G. (2009). Probabilistic duration estimation model for high-rise structural work. Journal of Construction Engineering and Management, 135(12), 1289-1298.
• Lin, M.C., Tserng, H.P., Ho, S.P., & Young, D.L. (2011). Developing a construction-duration model based on a historical dataset for building project. Journal of Civil Engineering and Management, 17(4), 529–539. https://doi.org/10.3846/13923730.2011.625641
• Lines, B.C., Sullivan, K.T., Hurtado, K.C., & Savicky, J. (2014). Planning in construction: Longitudinal study of pre-contract planning model demonstrates reduction in project cost and schedule growth. International Journal of Construction Education and Research, 11(1), 21–39. https://doi.org/10.1080/15578771.2013.872733.
• Lines, B.C., Sullivan, K.T., Smithwick, J.B., & Mischung, J. (2015). Overcoming resistance to change in engineering and construction: Change management factors for owner organizations. International Journal of Project Management, 33(5), 1170–1179. https://doi.org/10.1016/j.ijproman.2015.01.008
• Luu, V., Kim, S., Van Tuan, N., & Ogunlana, S. (2009). Quantifying schedule risk in construction projects using Bayesian belief networks. International Journal of Project Management, 27(1), 39-50.
• Majid, I.A. (2006). Causes and effect of delays in Aceh construction industry (Unpublished master’s thesis). University of Technology Malaysia.
• McCord, J., McCord, M., Davis, P. T., Haran, M., & Rodgers, W. J. (2015). Understanding delays in housing construction: evidence from Northern Ireland. Journal of Financial Management of Property and Construction, 20(3), 286–319. doi:10.1108/jfmpc-07-2015-0028
• Meeampol, S., & Ogunlan, S.O. (2006). Factors affecting cost and time performance on highway construction projects: Evidence from Thailand. Journal of Financial Management of Property and Construction, 11(1), 3–20. https://doi.org/10.1108/13664380680001076
• Noorzai, E., & Golabchi, M. (2020). Selecting a proper construction system in small and medium mass housing projects, considering success criteria and construction volume and height. Journal of Engineering, Design and Technology, 18(4), 883-903. doi:10.1108/jedt-09-2019-0227
• Noorzai, E., Gharouni Jafari, K., & Moslemi Naeni, L. (2020). Lessons Learned on Selecting the Best Mass Housing Method Based on Performance Evaluation Criteria in Iran. International Journal of Construction Education and Research, 1–19. doi:10.1080/15578771.2020.1867258
• Obodo, C. E., Xie, Z. N., Cobbinah, B. B., Yari, K. D. Y. (2021). Evaluating the Factors Affecting Contractors Tender for Project Construction: An Empirical Study of Small-Scale Indigenous Contractors in Awka, Nigeria. Open Journal of Social Sciences, 9, 381-397.
• Obodo, C.E., Xie, Z.N., Cobbinah, B.B., & Yari, K.D.Y. (2021). Evaluating the factors affecting contractors tender for project construction: An empirical study of small-scale indigenous contractors in Awka, Nigeria. Open Journal of Social Sciences, 9(7), 381–397. 10.4236/jss.2021.97028
• Odabaşı, E. (2009). Models for estimating construction duration: An application for selected buildings on the METU campus (Yayınlanmamış yüksek lisans tezi). Orta Doğu Teknik Üniversitesi.
• Oyedele, L. O, Jaiyeoba, B. E., Kadiri, K. O, Folagbade, S. O., Tijani I. K. & Salami R. O. (2015). Critical factors affecting construction quality in Nigeria: evidence from industry professionals. International Journal of Sustainable Building Technology and Urban Development, 6(2), 103–113. https://doi.org/10.1080/2093761X.2015.1033662
• Oyedele, L.O. (2013). Avoiding performance failure payment deduction in PFI/PPP projects: model of critical success factors. Journal of Performance of Constructed Facilities, 27(3), 283–294. https://doi.org/10.1061/%28ASCE%29CF.1943-5509.0000367
• Oyedele, O.A. (2017). A study into the factors affecting duration of construction projects in Nigeria. https://www.researchgate.net/publication/313842757_A_study_into_the_factors_affecting_duration_of_construction_projects_in_Nigeria
• PMI. (2021). Project management body of knowledge. Project Management Institute.
• Rudeli, N., Santilli, A., Puente, I., & Viles, E. (2017). Statistical Model for Schedule Prediction: Validation in a Housing-Cooperative Construction Database. Journal of Construction Engineering and Management, 143(11), 04017083. doi:10.1061/(asce)co.1943-7862.0001396
• Salleh, R. (2009). Critical success factors of project management for Brunei construction projects: improving project performance. Doctoral dissertation, Queensland University of Technology, Canada.
• Scheepbouwer, E., Graansberg, D.D., & Del Puerto, C.L. (2017). Construction engineering management culture shift: Is the lowest tender offer dead? Frontiers in Engineering Management, 4(1), 49-57.
• Shahsavand, P., Marefat, A., & Parchamijalal, M. (2018). Causes of delays in construction industry and comparative delay analysis techniques with SCL protocol. Engineering, Construction and Architectural Management, 25(4), 497-533.
• 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.
• Shokri-Ghasabeh, M., & Chileshe, N. (2016). Critical factors influencing the bid/no bid decision in the Australian construction industry. Construction Innovation, 16(2), 127–157. https://doi.org/10.1108/CI-04-2015-0021
• Solak, A. (2013). Yapım ihalelerinde karşılaşılan sorunlar ve çözüm önerileri. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 16(2), 13-21.
• Sönmez, M. (2019). Türkiye’de üstyapı projelerinde zaman-maliyet ilişkileri (Doktora tezi). Sakarya Üniversitesi.
• Sweis, J.G. (2013). Factors affecting time overruns in public construction projects: The case of Jordan. International Journal of Business and Management, 8(23), 120–129. 10.5539/ijbm.v8n23p120
• T.C. Resmî Gazete. (1983). 2886 Sayılı Devlet İhale Kanunu. Sayı: 18161, Tarih: 10 Eylül 1983.
• T.C. Resmî Gazete. (1984). 2985 Sayılı Toplu Konut Kanunu. Sayı: 18344, Tarih: 17 Mart 1984.
• T.C. Resmî Gazete. (2002). 4734 Sayılı Kamu İhale Kanunu. Sayı: 24648, Tarih: 22 Ocak 2002.
• Tafazzoli, M., & Shrestra, P. (2017). Factor analysis of construction delays in the U.S. construction industry. International Conference on Sustainable Infrastructure, NY, USA, American Society of Civil Engineers (ASCE). http://dx.doi.org/10.1061/9780784481196.011
• Taylor, M.C. (2005). Interviewing. In I. Holloway (ed.), Qualitative research in health care (pp.39-55). Maidenhead, England: McGraw-Hill Education.
• Tokalakoğlu, D. (2010). Kamu inşaat sektöründe yaklaşık maliyet hesabı şartnamesi oluşturulmasına yönelik bir çalışma (Yayınlanmamış yüksek lisans tezi). İstanbul Teknik Üniversitesi.
• Toor, S.U.R., & Ogunlana, S.O. (2008). Problems causing delays in major construction projects in Thailand. Construction Management and Economics, 26(4), 395-408.
• Tunç, G., & Özsaraç, E. (2015, 14-16 Ekim). Türkiye’deki kamu özel işbirliği modelinin iyileştirilmesine ait öneriler [Konferans sunumu]. 3. Türkiye Deprem Mühendisliği ve Sismoloji Konferansı, Dokuz Eylül Üniversitesi, İzmir.
• Turhan, N. (2006). Kamu ihale sistemindeki değişikliğin inşaat yatırımlarının süre ve maliyetine yansımaları (Yayınlanmamış yüksek lisans tezi). Çukurova Üniversitesi.
• Türesoy, M. (1989). Yapı üretiminde süre tahmini ve yapım süresini etkileyen faktörler (Yayınlanmamış yüksek lisans tezi). İstanbul Teknik Üniversitesi.
• Ujong, J., Mbadike, E.M., & Alaneme, G.U. (2022). Prediction of cost and duration of building construction using artificial neural network. Asian Journal of Civil Engineering, 10.1007/s42107-022-00474-4
• Usta, Y. (2014). Kamusal kalkınmada proje yönetimine yönelik modelsel bir yaklaşım. Verimlilik Dergisi, 3, 115-139.
• Walraven, A., & de Vries, B. (2009). From demand driven contractor selection towards value driven contractor selection. Construction Management and Economics, 27, 597-604.
• Yargıtay. (2010). 2010/2081 Esas ve 2010/9729 Sayılı Karar. Ankara: Yargıtay Hukuk Genel Kurulu Kararları.
• Yargıtay. (2011). 2011/4202 Esas ve 2011/14042 Sayılı Kararı. Ankara: Yargıtay Hukuk Genel Kurulu Kararları.
• Yargıtay. (2013). 2012/24284 Esas ve 201/1694 Sayılı Kararı. Ankara: Yargıtay Hukuk Genel Kurulu Kararları.
• Yargıtay. (2014). 2013/13 – 1143 Esas ve 2014/625 Sayılı Kararı. Ankara: Yargıtay Hukuk Genel Kurulu Kararları.
• Yargıtay. (2015). 2013/13 – 2342 Esas ve 2015/1066 Sayılı Kararı. Ankara: Yargıtay Hukuk Genel Kurulu Kararları.
• Yeom, D-J., Seo, H-M., Kim, Y-J., Cho, C-S., & Kim, Y. (2018). Development of an approximate construction duration prediction model during the project planning phase for general office buildings. Journal of Civil Engineering and Management, 24(3), 238-253.
• Yin, R. K. (2003). Case study research: Design and methods (3rd ed.). Sage.
• Yitmen, İ., & Dikbaş, A. (2002). Web – tabanlı bütünleşik yapım yönetim sistemi modeli. İTÜ Dergisi, 1(1), 31-41.
• Yogesh, G., & Rao, C.H. (2021). A study on linear scheduling methods in road construction projects. Materials Today: Proceedings, 47, 5475–5478. https://doi.org/10.1016/j.matpr.2021.07.393
• Zahaf, A., & Bensaibi, M. (2014). Seismic vulnerability of building construction site. Journal of Civil Engineering and Architecture, 8(1), 37-46.