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Trends on MCDM in Construction Management from 2019 to 2022 Based on a SWOT Analysis

Yıl 2023, Cilt: 13 Sayı: 2, 292 - 308, 29.12.2023

Burak Öz

Öz

The purpose of this study is to investigate publications utilizing multi-criteria decision-making (MCDM) methods in construction management to identify their strengths, weaknesses, opportunities and threats through a SWOT analysis. A variety of academic search engines was used to systematically search publications between January 2019 and May 2022 for this purpose. An in-depth analysis of 249 articles was conducted; first, they were ranked based on academic databases, indexes, and years, then they were classified according to their major applications in construction management, and finally, a SWOT analysis was carried out. The studies demonstrate that these methods improve the consistency and robustness of decision-making; however, they mainly concentrate on macro-level aspects, which is considered a disadvantage. Even though models heavily rely on participants’ knowledge and experience, they can be eliminated by integrating perspectives from a variety of experts and professionals. Using the findings of this study, researchers will be able to plan their future original studies based on opportunities identified, as well as improve possible weaknesses and eliminate threats outlined in previous studies.

Anahtar Kelimeler

Construction management MCDM SWOT Hybrid methods Optimum solution

Kaynakça

  • Abdelkader, E. M., Moselhi, O., Marzouk, M., & Zayed, T. 2021. Integrative evolutionary-based method for modeling and optimizing budget assignment of bridge maintenance priorities. Journal of Construction Engineering and Management, 147(9). https://doi.org/10.1061/(asce)co.1943-7862.0002113
  • Abdelkader, E. M., Moselhi, O., Marzouk, M., & Zayed, T. 2022. An exponential chaotic differential evolution algorithm for optimizing bridge maintenance plans. Automation in Construction, 134, 104107. https://doi.org/10.1016/j. autcon.2021.104107
  • Abdullah, A. K., & Alshibani, A. 2021. Multi-criteria decisionmaking framework for selecting sustainable private partners for housing projects. Journal of Financial Management of Property and Construction, 27(1), 112–140. https://doi.org/10.1108/ jfmpc-07-2020-0046
  • Ajayi, B. O., & Chinda, T. 2022. Impact of construction delaycontrolling parameters on project schedule: DEMATELSystem dynamics modeling approach. Frontiers in Built Environment, 8. https://doi.org/10.3389/fbuil.2022.799314
  • Arslan, H. M. 2017. Current classification of multi criteria decision analysis methods and public sector implementations. In M. Aydin, N. Şirin Pinarcioğlu, & Ö. Uğurlu (Eds.), Current Debates in Public Finance Public Administration and Environmental Studies (pp. 241–261).
  • IJOPEC Publication Limited. Banihashemi, S. A., & Khalilzadeh, M. 2021. Evaluating efficiency in construction projects with the TOPSIS model and NDEA method considering environmental effects and undesirable data. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 46(2), 1589–1605.
  • https:// doi.org/10.1007/s40996-021-00669-w Bayhan, H. G., Demirkesen, S., Zhang, C., & Tezel, A. 2022. A lean construction and BIM interaction model for the construction industry. Production Planning & Control, 1–28. https://doi.org/10.1080/09537287.2021.2019342
  • Biluca, J., de Aguiar, C. R., & Trojan, F. 2020. Sorting of suitable areas for disposal of construction and demolition waste using GIS and ELECTRE TRI. Waste Management, 114, 307–320. https://doi.org/10.1016/j.wasman.2020.07.007
  • Bonyani, A., & Alimohammadlou, M. 2018. A new approach for evaluating international EPC contractors in Iran’s energy sector. International Journal of Construction Management, 20(7), 775–782. https://doi.org/10.1080/15623599.2018.1484858
  • Božanić, D., Tešić, D., & Kočić, J. 2019. Multi-criteria FUCOM – Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge. Decision-making: Applications in Management and Engineering, 2(1), 132–146. https://doi.org/10.31181/dmame1901132b
  • Das, R., & Nakano, M. 2021. A multi-criteria decision-making model using socio-technical attributes for transportation bridge maintenance prioritisation. International Journal of Construction Management, 23(4), 579–585. https://doi.org/10 .1080/15623599.2021.1899560
  • Dehdasht, G., Ferwati, M. S., Zin, R. M., & Abidin, N. Z. 2020. A hybrid approach using entropy and TOPSIS to select key drivers for a successful and sustainable lean construction implementation. PLOS ONE, 15(2), e0228746. https://doi. org/10.1371/journal.pone.0228746
  • Demirkesen, S., & Bayhan, H. G. 2020. A lean implementation success model for the construction industry. Engineering Management Journal, 32(3), 219–239. https://doi.org/10.1080/ 10429247.2020.1764834
  • dos Santos, C. F., Piechnicki, F., de Freitas Rocha Loures, E., & Santos, E. A. P. 2017. Mapping the conceptual relationship among data analysis, knowledge generation and decisionmaking in ındustrial processes. Procedia Manufacturing, 11, 1751–1758. https://doi.org/10.1016/j.promfg.2017.07.305
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  • Erdogan, S. A., Šaparauskas, J., & Turskis, Z. 2019. A multicriteria decision-making model to choose the best option for sustainable construction management. Sustainability, 11(8), 2239. https://doi.org/10.3390/su11082239
  • Erol, H., Dikmen, I., Atasoy, G., & Birgonul, M. T. 2022. An analytic network process model for risk quantification of mega construction projects. Expert Systems with Applications, 191, 116215. https://doi.org/10.1016/j.eswa.2021.116215
  • Garg, C. P., & Sharma, A. 2018. Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework. Environment, Development and Sustainability, 22(2), 1529–1557. https://doi.org/10.1007/s10668-018- 0261-5
  • Gharouni Jafari, K., & Noorzai, E. 2021. Selecting the most appropriate project manager to improve the performance of the occupational groups in road construction projects in warm regions. Journal of Construction Engineering and Management, 147(10). https://doi.org/10.1061/(asce)co.1943- 7862.0002151
  • Gunduz, M., & Almuajebh, M. 2020. Critical success factors for sustainable construction project management. Sustainability, 12(5), 1990. https://doi.org/10.3390/su12051990
  • Gunduz, M., & Khader, B. K. 2020. Construction project safety performance management using analytic network process (ANP) as a multicriteria decision-making (MCDM) tool. Computational Intelligence and Neuroscience,2020, 1–11. https:// doi.org/10.1155/2020/2610306
  • Haruna, A., Shafiq, N., & Montasir, O. A. 2021. Building information modelling application for developing sustainable building (Multi criteria decision-making approach). Ain Shams Engineering Journal,12(1), 293–302. https://doi.org/10.1016/j. asej.2020.06.006
  • Heydari Dehooei, J., Hosseini Dehshiri, S. 2021. Selecting project manager based on competency model using SWARA and WASPAS combined methods: Case of Pishgaman Kavir Yazd Cycas Park Project. Management Research in Iran, 22(4), 47-72.
  • Ighravwe, D. E., & Oke, S. A. 2019. A multi-criteria decisionmaking framework for selecting a suitable maintenance strategy for public buildings using sustainability criteria. Journal of Building Engineering, 24, 100753. https://doi. org/10.1016/j.jobe.2019.100753
  • Iqbal, M., Ma, J., Ahmad, N., Ullah, Z., & Ahmed, R. I. 2021. Uptake and adoption of sustainable energy technologies: Prioritizing strategies to overcome barriers in the construction industry by using an integrated AHP‐TOPSIS approach. Advanced Sustainable Systems, 5(7), 2100026. https://doi. org/10.1002/adsu.202100026
  • Jato-Espino, D., Castillo-Lopez, E., Rodriguez-Hernandez, J., & Canteras-Jordana, J. C. 2014. A review of application of multi-criteria decision-making methods in construction. Automation in Construction, 45, 151–162. https://doi. org/10.1016/j.autcon.2014.05.013
  • Kajanus, M., Leskinen, P., Kurttila, M., & Kangas, J. 2012. Making use of MCDS methods in SWOT analysis—Lessons learnt in strategic natural resources management. Forest Policy and Economics, 20, 1–9. https://doi.org/10.1016/j. forpol.2012.03.005
  • Kalan, D., & Ozbek, M. E. 2020. Development of a construction project bidding decision-making tool. Practice Periodical on Structural Design and Construction, 25(1). https://doi. org/10.1061/(asce)sc.1943-5576.0000457
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2019’dan 2022’ye İnşaat Yönetiminde Kullanılan ÇKKV Yöntemlerinin SWOT Analizine Dayalı Olarak Değerlendirilmesi

Yıl 2023, Cilt: 13 Sayı: 2, 292 - 308, 29.12.2023

Burak Öz

Öz

Bu çalışmanın amacı, inşaat yönetiminde çok kriterli karar verme (ÇKKV) yöntemlerini kullanan yayınları inceleyerek güçlü ve zayıf yönlerini, fırsatları ve tehditleri SWOT analizi yoluyla tespit edip ortaya çıkarmaktır. Bu amaçla Ocak 2019 ile Mayıs 2022 tarihleri arasındaki yayınların sistematik olarak taranmasında çeşitli akademik arama motorları kullanıldı. Ulaşılan makalelerden 249’u derinlemesine analiz edildi; öncelikle akademik veritabanlarına, indekslere ve yıllara göre sıralandı, ardından inşaat yönetimindeki başlıca uygulamalarına göre sınıflandırıldı ve son olarak SWOT analizleri yapıldı. Araştırmalar, bu yöntemlerin karar vermenin tutarlılığını ve sağlamlığını artırdığını göstermekle birlikte esas olarak makro düzeydeki yönlere yoğunlaştığını belirtmekte ve bu da dezavantaj olarak değerlendirilmektedir. Modeller ağırlıklı olarak katılımcıların bilgi ve deneyimlerine dayansa da, çeşitli uzman ve profesyonellerin bakış açılarının entegre edilmesiyle bu durumun ortadan kaldırılabileceği kanaatine varılmıştır. Bu çalışma, araştırmacıların bu konularda geçmiş çalışmalarda fırsat olarak tespit edilen özgün çalışmalarını planlamalarının yanı sıra olası zayıf yönlerin iyileştirilmesi ve tehditlerin ortadan kaldırılması açısından da oldukça katkı sağlayacağı düşünülmektedir.

Anahtar Kelimeler

İnşaat yönetimi ÇKKV SWOT Hibrit yöntemler Optimum çözüm

Kaynakça

  • Abdelkader, E. M., Moselhi, O., Marzouk, M., & Zayed, T. 2021. Integrative evolutionary-based method for modeling and optimizing budget assignment of bridge maintenance priorities. Journal of Construction Engineering and Management, 147(9). https://doi.org/10.1061/(asce)co.1943-7862.0002113
  • Abdelkader, E. M., Moselhi, O., Marzouk, M., & Zayed, T. 2022. An exponential chaotic differential evolution algorithm for optimizing bridge maintenance plans. Automation in Construction, 134, 104107. https://doi.org/10.1016/j. autcon.2021.104107
  • Abdullah, A. K., & Alshibani, A. 2021. Multi-criteria decisionmaking framework for selecting sustainable private partners for housing projects. Journal of Financial Management of Property and Construction, 27(1), 112–140. https://doi.org/10.1108/ jfmpc-07-2020-0046
  • Ajayi, B. O., & Chinda, T. 2022. Impact of construction delaycontrolling parameters on project schedule: DEMATELSystem dynamics modeling approach. Frontiers in Built Environment, 8. https://doi.org/10.3389/fbuil.2022.799314
  • Arslan, H. M. 2017. Current classification of multi criteria decision analysis methods and public sector implementations. In M. Aydin, N. Şirin Pinarcioğlu, & Ö. Uğurlu (Eds.), Current Debates in Public Finance Public Administration and Environmental Studies (pp. 241–261).
  • IJOPEC Publication Limited. Banihashemi, S. A., & Khalilzadeh, M. 2021. Evaluating efficiency in construction projects with the TOPSIS model and NDEA method considering environmental effects and undesirable data. Iranian Journal of Science and Technology, Transactions of Civil Engineering, 46(2), 1589–1605.
  • https:// doi.org/10.1007/s40996-021-00669-w Bayhan, H. G., Demirkesen, S., Zhang, C., & Tezel, A. 2022. A lean construction and BIM interaction model for the construction industry. Production Planning & Control, 1–28. https://doi.org/10.1080/09537287.2021.2019342
  • Biluca, J., de Aguiar, C. R., & Trojan, F. 2020. Sorting of suitable areas for disposal of construction and demolition waste using GIS and ELECTRE TRI. Waste Management, 114, 307–320. https://doi.org/10.1016/j.wasman.2020.07.007
  • Bonyani, A., & Alimohammadlou, M. 2018. A new approach for evaluating international EPC contractors in Iran’s energy sector. International Journal of Construction Management, 20(7), 775–782. https://doi.org/10.1080/15623599.2018.1484858
  • Božanić, D., Tešić, D., & Kočić, J. 2019. Multi-criteria FUCOM – Fuzzy MABAC model for the selection of location for construction of single-span bailey bridge. Decision-making: Applications in Management and Engineering, 2(1), 132–146. https://doi.org/10.31181/dmame1901132b
  • Das, R., & Nakano, M. 2021. A multi-criteria decision-making model using socio-technical attributes for transportation bridge maintenance prioritisation. International Journal of Construction Management, 23(4), 579–585. https://doi.org/10 .1080/15623599.2021.1899560
  • Dehdasht, G., Ferwati, M. S., Zin, R. M., & Abidin, N. Z. 2020. A hybrid approach using entropy and TOPSIS to select key drivers for a successful and sustainable lean construction implementation. PLOS ONE, 15(2), e0228746. https://doi. org/10.1371/journal.pone.0228746
  • Demirkesen, S., & Bayhan, H. G. 2020. A lean implementation success model for the construction industry. Engineering Management Journal, 32(3), 219–239. https://doi.org/10.1080/ 10429247.2020.1764834
  • dos Santos, C. F., Piechnicki, F., de Freitas Rocha Loures, E., & Santos, E. A. P. 2017. Mapping the conceptual relationship among data analysis, knowledge generation and decisionmaking in ındustrial processes. Procedia Manufacturing, 11, 1751–1758. https://doi.org/10.1016/j.promfg.2017.07.305
  • Erasmus University Rotterdam. 2023. Search methods & techniques: Search methods. LibGuides at Erasmus University Rotterdam; Erasmus University Library. https://libguides.eur.nl/informationskillssearchmethods/methods
  • Erdogan, S. A., Šaparauskas, J., & Turskis, Z. 2019. A multicriteria decision-making model to choose the best option for sustainable construction management. Sustainability, 11(8), 2239. https://doi.org/10.3390/su11082239
  • Erol, H., Dikmen, I., Atasoy, G., & Birgonul, M. T. 2022. An analytic network process model for risk quantification of mega construction projects. Expert Systems with Applications, 191, 116215. https://doi.org/10.1016/j.eswa.2021.116215
  • Garg, C. P., & Sharma, A. 2018. Sustainable outsourcing partner selection and evaluation using an integrated BWM–VIKOR framework. Environment, Development and Sustainability, 22(2), 1529–1557. https://doi.org/10.1007/s10668-018- 0261-5
  • Gharouni Jafari, K., & Noorzai, E. 2021. Selecting the most appropriate project manager to improve the performance of the occupational groups in road construction projects in warm regions. Journal of Construction Engineering and Management, 147(10). https://doi.org/10.1061/(asce)co.1943- 7862.0002151
  • Gunduz, M., & Almuajebh, M. 2020. Critical success factors for sustainable construction project management. Sustainability, 12(5), 1990. https://doi.org/10.3390/su12051990
  • Gunduz, M., & Khader, B. K. 2020. Construction project safety performance management using analytic network process (ANP) as a multicriteria decision-making (MCDM) tool. Computational Intelligence and Neuroscience,2020, 1–11. https:// doi.org/10.1155/2020/2610306
  • Haruna, A., Shafiq, N., & Montasir, O. A. 2021. Building information modelling application for developing sustainable building (Multi criteria decision-making approach). Ain Shams Engineering Journal,12(1), 293–302. https://doi.org/10.1016/j. asej.2020.06.006
  • Heydari Dehooei, J., Hosseini Dehshiri, S. 2021. Selecting project manager based on competency model using SWARA and WASPAS combined methods: Case of Pishgaman Kavir Yazd Cycas Park Project. Management Research in Iran, 22(4), 47-72.
  • Ighravwe, D. E., & Oke, S. A. 2019. A multi-criteria decisionmaking framework for selecting a suitable maintenance strategy for public buildings using sustainability criteria. Journal of Building Engineering, 24, 100753. https://doi. org/10.1016/j.jobe.2019.100753
  • Iqbal, M., Ma, J., Ahmad, N., Ullah, Z., & Ahmed, R. I. 2021. Uptake and adoption of sustainable energy technologies: Prioritizing strategies to overcome barriers in the construction industry by using an integrated AHP‐TOPSIS approach. Advanced Sustainable Systems, 5(7), 2100026. https://doi. org/10.1002/adsu.202100026
  • Jato-Espino, D., Castillo-Lopez, E., Rodriguez-Hernandez, J., & Canteras-Jordana, J. C. 2014. A review of application of multi-criteria decision-making methods in construction. Automation in Construction, 45, 151–162. https://doi. org/10.1016/j.autcon.2014.05.013
  • Kajanus, M., Leskinen, P., Kurttila, M., & Kangas, J. 2012. Making use of MCDS methods in SWOT analysis—Lessons learnt in strategic natural resources management. Forest Policy and Economics, 20, 1–9. https://doi.org/10.1016/j. forpol.2012.03.005
  • Kalan, D., & Ozbek, M. E. 2020. Development of a construction project bidding decision-making tool. Practice Periodical on Structural Design and Construction, 25(1). https://doi. org/10.1061/(asce)sc.1943-5576.0000457
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  • Khoshand, A., Khanlari, K., Abbasianjahromi, H., & Zoghi, M. 2020. Construction and demolition waste management: Fuzzy Analytic Hierarchy Process approach. Waste Management & Research: The Journal for a Sustainable Circular Economy, 38(7), 773–782. https://doi.org/10.1177/0734242x20910468
  • Kiani, M., Bagheri, M., Ebrahimi, A., & Alimohammadlou, M. 2019. A model for prioritizing outsourceable activities in universities through an integrated fuzzy-MCDM method. International Journal of Construction Management, 22(5), 784– 800. https://doi.org/10.1080/15623599.2019.1645264
  • Kim, D., Oh, W., Yun, J., Youn, J., Do, S., & Lee, D. 2021. Development of key performance indicators for measuring the management performance of small construction firms in Korea. Sustainability, 13(11), 6166. https://doi.org/10.3390/ su13116166
  • Köksalan, M. M., Wallenius, J., & Zionts, S. 2011. Multiple criteria decision-making: From early history to the 21st century. World Scientific.
  • Li, Y., Lin, J., Cui, Z., Wang, C., & Li, G. 2019. Workforce productivity evaluation of the US construction industry from 2006 to 2016. Engineering, Construction and Architectural Management, 28(1), 55–81. https://doi.org/10.1108/ecam-07- 2019-0366
  • Liang, R., & Chong, H.-Y. 2019. A hybrid group decision model for green supplier selection: A case study of megaprojects. Engineering, Construction and Architectural Management, 26(8), 1712–1734. https://doi.org/10.1108/ecam-10-2018-0462
  • Liu, H., Long, H., & Li, X. 2020. Identification of critical factors in construction and demolition waste recycling by the greyDEMATEL approach: A Chinese perspective. Environmental Science and Pollution Research, 27(8), 8507–8525. https://doi. org/10.1007/s11356-019-07498-5
  • Ma, D., Chen, Y., Fu, Y., & Meng, C. 2022. Influencing factors of outsourcing in construction projects: A holistic perspective. International Journal of Managing Projects in Business, 15(2), 396–422. https://doi.org/10.1108/ijmpb-04-2021-0107
  • Mojumder, A., & Singh, A. 2021. An exploratory study of the adaptation of green supply chain management in construction industry: The case of Indian Construction Companies. Journal of Cleaner Production, 295, 126400. https://doi.org/10.1016/j. jclepro.2021.126400
  • Negash, Y. T., Hassan, A. M., Tseng, M.-L., Wu, K.-J., & Ali, M. H. 2021. Sustainable construction and demolition waste management in Somaliland: Regulatory barriers lead to technical and environmental barriers. Journal of Cleaner Production, 297, 126717. https://doi.org/10.1016/j.jclepro.2021.126717
  • Odu, G. O. (2019). Weighting methods for multi-criteria decision-making technique. Journal of Applied Sciences and Environmental Management, 23(8), 1449. https://doi. org/10.4314/jasem.v23i8.7
  • Oz, B., Anbarci, M., & Manisali, E. 2017. A conflict resolution model identifying cause and effect relations by using Fuzzy Expert System. Gazi Univ. J. Sci,4(4), 67-83
  • Oz, B., Anbarci, M., & Manisali, E. 2019. Classification of conflicts encountered in the public construction projects.AJIT-e: Online Academic Journal of Information Technology, 10(36), 95– 107. https://doi.org/10.5824/1309-1581.2019.1.005.x
  • Prasad, S. V. S. R. 2019. The influence of a goal programming approach for safety management practices on the performance of a selected Indian construction organization. Production Engineering Archives, 24(24), 43–47. https://doi.org/10.30657/ pea.2019.24.10
  • Qi, H., Zhou, Z., Li, N., & Zhang, C. 2022. Construction safety performance evaluation based on data envelopment analysis (DEA) from a hybrid perspective of cross-sectional and longitudinal. Safety Science, 146, 105532. https://doi. org/10.1016/j.ssci.2021.105532
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  • Roghabadi, M. A., & Moselhi, O. 2020. A fuzzy-based decision support model for risk maturity evaluation of construction organizations. Algorithms, 13(5), 115. https://doi.org/10.3390/ a13050115
  • Shalaby, A., & Hassanein, A. 2019. A decision support system (DSS) for facilitating the scenario selection process of the renegotiation of PPP contracts. Engineering, Construction and Architectural Management, 26(6), 1004–1023. https://doi. org/10.1108/ecam-01-2018-0010
  • Sing, M., Chan, J., Liu, H., & Ngai, N. N. H. 2021. Developing an analytic hierarchy process-based decision model for modular construction in urban areas. Journal of Engineering, Design and Technology. https://doi.org/10.1108/jedt-05-2021-0242
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  • Su, L., Wang, T., Li, H., Chao, Y., & Wang, L. 2019. Multicriteria decision-making for identification of unbalanced bidding. Journal of Civil Engineering And Management, 26(1), 43–52. https://doi.org/10.3846/jcem.2019.11568
  • Sun, H., Mao, W., Dang, Y., & Xu, Y. 2022. Optimum path for overcoming barriers of green construction supply chain management: A grey possibility DEMATEL-NK approach. Computers & Industrial Engineering, 164, 107833. https:// doi.org/10.1016/j.cie.2021.107833
  • Tabatabaee, S., Mahdiyar, A., Durdyev, S., Mohandes, S. R., & Ismail, S. 2019.An assessment model of benefits, opportunities, costs, and risks of green roof installation: A multi criteria decision-making approach. Journal of Cleaner Production, 238, 117956. https://doi.org/10.1016/j.jclepro.2019.117956
  • Tamošaitienė, J., Sarvari, H., Cristofaro, M., & Chan, D. W. M. 2021. Identifying and prioritizing the selection criteria of appropriate repair and maintenance methods for commercial buildings. International Journal of Strategic Property Management, 25(5), 413–431. https://doi.org/10.3846/ ijspm.2021.15225
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  • Vafaei, N., Ribeiro, R. A., & Camarinha-Matos, L. M. 2016. Normalization techniques for multi-criteria decision-making: Analytical hierarchy process case study. In Technological Innovation for Cyber-Physical Systems (pp. 261–269). Springer International Publishing. http://dx.doi.org/10.1007/978-3- 319-31165-4_26
  • Wu, X., & Xu, F. 2021. Detection model for unbalanced bidding in railway construction projects: Considering the risk of quantity variation. Journal of Construction Engineering and Management, 147(7). https://doi.org/10.1061/(asce)co.1943-7862.0002058
  • Xiahou, X., Wu, Y., Duan, T., Lin, P., Li, F., Qu, X., Liu, L., Li, Q., & Liu, J. 2022. Analyzing critical factors for the smart construction site development: A DEMATEL-ISM based approach. Buildings, 12(2), 116. https://doi.org/10.3390/ buildings12020116
  • Yuan, F., Tang, M., & Hong, J. 2020. Efficiency estimation and reduction potential of the Chinese construction industry via SE-DEA and artificial neural network. Engineering, Construction and Architectural Management, 27(7), 1533–1552. https://doi.org/10.1108/ecam-10-2019-0564
  • Zavadskas, E. K., Govindan, K., Antucheviciene, J., & Turskis, Z. 2016. Hybrid multiple criteria decision-making methods: A review of applications for sustainability issues. Economic Research-Ekonomska Istraživanja, 29(1), 857–887. https://doi. org/10.1080/1331677x.2016.1237302
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Toplam 63 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Yapı İşletmesi
Bölüm Araştırma Makaleleri
Yazarlar

Burak Öz 0000-0003-0686-1410

Yayımlanma Tarihi 29 Aralık 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 13 Sayı: 2

Kaynak Göster

APA Öz, B. (2023). Trends on MCDM in Construction Management from 2019 to 2022 Based on a SWOT Analysis. Karaelmas Fen Ve Mühendislik Dergisi, 13(2), 292-308. https://doi.org/10.7212/karaelmasfen.1348346
AMA Öz B. Trends on MCDM in Construction Management from 2019 to 2022 Based on a SWOT Analysis. Karaelmas Fen ve Mühendislik Dergisi. Aralık 2023;13(2):292-308. doi:10.7212/karaelmasfen.1348346
Chicago Öz, Burak. “Trends on MCDM in Construction Management from 2019 to 2022 Based on a SWOT Analysis”. Karaelmas Fen Ve Mühendislik Dergisi 13, sy. 2 (Aralık 2023): 292-308. https://doi.org/10.7212/karaelmasfen.1348346.
EndNote Öz B (01 Aralık 2023) Trends on MCDM in Construction Management from 2019 to 2022 Based on a SWOT Analysis. Karaelmas Fen ve Mühendislik Dergisi 13 2 292–308.
IEEE B. Öz, “Trends on MCDM in Construction Management from 2019 to 2022 Based on a SWOT Analysis”, Karaelmas Fen ve Mühendislik Dergisi, c. 13, sy. 2, ss. 292–308, 2023, doi: 10.7212/karaelmasfen.1348346.
ISNAD Öz, Burak. “Trends on MCDM in Construction Management from 2019 to 2022 Based on a SWOT Analysis”. Karaelmas Fen ve Mühendislik Dergisi 13/2 (Aralık 2023), 292-308. https://doi.org/10.7212/karaelmasfen.1348346.
JAMA Öz B. Trends on MCDM in Construction Management from 2019 to 2022 Based on a SWOT Analysis. Karaelmas Fen ve Mühendislik Dergisi. 2023;13:292–308.
MLA Öz, Burak. “Trends on MCDM in Construction Management from 2019 to 2022 Based on a SWOT Analysis”. Karaelmas Fen Ve Mühendislik Dergisi, c. 13, sy. 2, 2023, ss. 292-08, doi:10.7212/karaelmasfen.1348346.
Vancouver Öz B. Trends on MCDM in Construction Management from 2019 to 2022 Based on a SWOT Analysis. Karaelmas Fen ve Mühendislik Dergisi. 2023;13(2):292-308.
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