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The Factors Affecting Human Resources Productivity in Urban Construction Projects A Comparison of Relative Importance Index and Fuzzy Logic Methods | ||
Fuzzy Optimization and Modeling Journal | ||
مقاله 5، دوره 4، شماره 3، آذر 2023، صفحه 54-71 اصل مقاله (960.08 K) | ||
نوع مقاله: Original Article | ||
شناسه دیجیتال (DOI): 10.30495/fomj.2023.1992756.1106 | ||
نویسندگان | ||
Mobin Yarahmadi1؛ Mohammad Mirhoseini* 2؛ Mehdi Komasi3؛ Mohammad Ehsanifar4 | ||
1Department Civil Engineering-Engineering and Construction Management, Islamic Azad University, Arak, Iran | ||
2Department of Civil Engineering, Collage of Engineering, Arak Branch, Islamic Azad University, Arak, Iran | ||
3Department of Civil Engineering, University of Ayatollah Ozma Borujerdi, Iran. | ||
4Department of Industrial Engineering, Arak Branch, Islamic Azad University, Arak, Iran. | ||
چکیده | ||
Human resource productivity is one of the main concerns in organizations. In total,100 factors According to on three main sources: 1- Opinions of experts and academic professors, 2- Using project technical documents, 3- Previous similar research studies and related scientific sources, were identified and categorized into four groups: plan human resource management, acquire project team, develop project team, and manage project team. Questionnaires were distributed among 103 members of the target population who were active construction contractors in Iran. The questionnaires were analyzed using two methods: Relative Importance Index (RII) and the Fuzzy Logic (FL). Ten factors that had the highest impact, based on the two methods, on HRP efficiency in the projects were identified and compared. The results of fuzzy logic and RII method showed that both methods were highly similar in terms of outcomes. In addition, the results indicated that “lack of proper communication between the technical office and workshop” was the most important factor based on the two techniques mentioned. | ||
کلیدواژهها | ||
Human Resource Productivity؛ Urban Construction؛ Relative Importance Index؛ Fuzzy Logic | ||
آمار تعداد مشاهده مقاله: 1,237 تعداد دریافت فایل اصل مقاله: 129 |