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
,
محمد ایزدی خواه
3
1 -
2 - Assistant Professor, Department of Civil Engineering, Mehr Alborz University, Tehran, Iran
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.
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