Using Stochastic DEA for Identifying and ranking factors affecting the quality of metal structures construction (case study of metal structures factory)
محورهای موضوعی : Applied Mathematics
مهرداد اصلانی
1
()
Hadi Talkhabi
2
(Assistant Professor, Department of Civil Engineering, Mehr Alborz University, Tehran, Iran)
محمد ایزدی خواه
3
(گروه ریاضی کاربردی، واحد اراک، دانشگاه آزاد اسلامی ، اراک، ایران)
کلید واژه: Analytical Network Process (ANP), Data envelopment analysis (DEA), Stochastic data, Efficiency, Construction quality, Metal structures.,
چکیده مقاله :
This research investigates key quality factors in the construction of metal structures, a critical aspect within the construction industry given the significance of metal structures. The implementation of quality standards in metal construction enhances performance and reduces costs. Employing a combined qualitative and quantitative approach, this study analyzes and prioritizes factors influencing the quality of metal structure construction. The methodology involves network analysis and coverage analysis of random data gathered from manufacturing facilities, supplemented by information sourced from both academic literature and field observations. Data collection methods include questionnaires and interviews. The findings highlight cost, time, production efficiency, quality standards, labor resources, and technological advancements as the most influential factors in ensuring manufacturing quality. These findings provide valuable insights for future research endeavors and initiatives aimed at enhancing the quality of metal structures.
This research investigates key quality factors in the construction of metal structures, a critical aspect within the construction industry given the significance of metal structures. The implementation of quality standards in metal construction enhances performance and reduces costs. Employing a combined qualitative and quantitative approach, this study analyzes and prioritizes factors influencing the quality of metal structure construction. The methodology involves network analysis and coverage analysis of random data gathered from manufacturing facilities, supplemented by information sourced from both academic literature and field observations. Data collection methods include questionnaires and interviews. The findings highlight cost, time, production efficiency, quality standards, labor resources, and technological advancements as the most influential factors in ensuring manufacturing quality. These findings provide valuable insights for future research endeavors and initiatives aimed at enhancing the quality of metal structures.
- Izadikhah, Mohammad. (2013). Data Envelopment Analysis. Arak Publications of Islamic Azad University, volumes 1 and 2.
- Jahanshahlou, Gholamreza, Hosseinzadeh Lotfi, Farhad and Niko Maram, Hashem. (1387). Envelopment analysis of data and its applications, Islamic Azad University Publications, Science and Research Branch, Tehran.
- Bagharpour, M.R., et al. (2016). Identification and ranking of factors affecting the welding quality of metal structures using the Delphi method. Journal of Occupational Health and Epidemiology, 5(3), 158-166.
- Asadpour, V., et al. (2018). Investigating the impact of quality criteria on the performance of metal structures using numerical simulation. Journal of Structural and Building Engineering, 5(4), 84-97.
- Ghanbari, A., et al. (2018). Investigating factors affecting the quality of metal structures using AHP. Climate, 24(3), 127-135.
-Hosseini, M.R., Khanzadi, M., and Tajdari, M. (2017) Identification of factors affecting the quality of steel structure construction using DEA method. Journal of Structural Steel Research, 176, 106570.
-Qarachayi, M., Akbarzadeh-T, M.R., and Ehsan, M. (2019) Quality evaluation and analysis of steel products. Journal of Manufacturing Processes, 46, 303-311.
- Pakrovan, M., Khutbe Sera, M. M., and Khalili, M. (2019) Evaluation of factors affecting the quality of steel structures in construction projects. International Journal of Civil Engineering, 17(6), 1049-1060.
- Kazemi, M., Kalantari, M.R., and Kaveh, A. (2019) The effect of technical and environmental parameters on the quality of steel structures. Journal of Structural Steel Research, 166, 105937.
- Bakhtiari, M., Alijani, B., and Mehrabi, M. (2018) Identifying factors affecting the quality of welded joints of steel structures using factor analysis. Journal of Structural Steel Research, 153, 14-23
Aghaei, R., Alinejad, A., and Pourabrahimi, B. (2014) Investigating factors affecting the quality of steel construction projects. Journal of Management and Sustainability, 5(4), 64-
- Mateen, M. H., Lotfi, H., and Naderpour, H. (2012) Investigating factors affecting the quality of steel structures. Journal of Structural Steel Research, 90, 108-116.
-Kazemi, N. (2017) Identification and ranking of factors affecting the quality of metal structures using multi-criteria decision making techniques. Journal of Industrial Management Studies, 16(49), 1-22
- Faraji, A., Hosni, A., and Arshadhi, M. (2019) Performance evaluation of steel structures using laboratory and numerical methods. Journal of Structural Steel Research, 171, 106228.
-Du, J., Chen, W., Huang, T., & Chen, S. (2019). Investigation of Factors Affecting Quality of Steel Structure Projects in China. Engineering, Technology & Applied Science Research, 9(5), 4619-4623.
- Liang, X., et al. (2019). A comprehensive assessment of the quality factors of steel structures. Journal of Constructional Steel Research, 155, 1-1
- M. X. Cui and C. Fang, "A hybrid DEA-ANP method for measuring complexity in engineering projects," 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2015, pp. 1287-1291, doi: 10.1109/IEEM.2015.7385855.
- Babak Erdebilli, Royendegh, Serpİl Erol, A DEA – ANP hybrid Algorithm Approach to Evaluate a University's Performance, International Journal of Basic & Applied Sciences, December 2009, 9(10)
- Kılıç, Hakan, Kabak, Özgür, Fuzzy ANP and DEA approaches for analyzing the human development and competitiveness relation, Journal of Intelligent & Fuzzy Systems, vol. 39, no. 5, pp. 6629-6643, 2020, DOI: 10.3233/JIFS-189124
- Ehsan Pourjavad & Hadi Shirouyehzad & Arash Shahin, 2020. "Integration of ANP and DEA methods for evaluating efficiency of maintenance strategies," International Journal of Manufacturing Technology and Management, Inderscience Enterprises Ltd, vol. 34(4), pages 311-330.
- Pantea Maleki Moghadam-abyaneh, Reza Raei Nojehdehi, Esmaeel Najafi, Akbar Alam-tabriz, Applying Combine FAHP-DEA-ANP In Selecting Products, International Journal of Business and Commerce Vol. 1, No. 3: Nov 2011[1-9]
- Tavakoli, M.M., Shirouyehzad, H. and Dabestani, R. (2016), "Proposing a hybrid method based on DEA and ANP for ranking organizational units and prioritizing human capital management drivers", Journal of Modelling in Management, Vol. 11 No. 1, pp. 213-239. https://doi.org/10.1108/JM2-02-2014-0013
- Shariatmadari Serkani, E., Hossein zadeh Lotfi, F., Najafi, E., Ahad zadeh Namin, M. Efficiency measurement for hierarchical network systems using network DEA and intuitionistic fuzzy ANP. Scientia Iranica, 2022; 29(4): 2252-2269. doi: 10.24200/sci.2020.54619.3836
- Nasri, S.A., Ehsani, B., Hosseini nezhad, S.J. et al. A sustainable supplier selection method using integrated Fuzzy DEMATEL–ANP–DEA approach (case study: Petroleum Industry). Environ Dev Sustain (2022). https://doi.org/10.1007/s10668-022-02590-2
Alinezhad, Alireza,1397,Combination of DEA and ANP-QUALIFLEX Methods to determine the most Efficient Portfolio (Case study: Tehran Stock Exchange),https://civilica.com/doc/1327795
- J. Kim, J. Lee and S. Kang, 2018. Study on the Efficiency Evaluation of an Army Supply Support System Using the DEA-ANP Method. Journal of Engineering and Applied Sciences, 13: 7940-7947.
- Du, J., Chen, W., Huang, T., & Chen, S. (2019). Investigation of Factors Affecting Quality of Steel Structure Projects in China. Engineering, Technology & Applied Science Research, 9(5), 4619-4623.
- Liang, X., et al. (2019). A comprehensive assessment of the quality factors of steel structures. Journal of Constructional Steel Research, 155, 1-1
