مهندسی سازه و ساخت

مهندسی سازه و ساخت

ارزیابی کیفی اثربخشی ساخت و ساز ناب با رویکرد فناوری مدلسازی اطلاعات ساخت

نوع مقاله : علمی - پژوهشی

نویسندگان
1 کارشناس ارشد، دانشکده عمران و محیط زیست، دانشگاه صنعتی امیرکبیر، تهران، ایران
2 دانشیار، دانشکده عمران و محیط زیست، دانشگاه صنعتی امیرکبیر، تهران، ایران
چکیده
صنعت احداث بخش بزرگی از اقتصاد کشور را تشکیل داده است و بسیاری از صنایع و مشاغل به آن وابستگی مستقیم و غیرمستقیم دارند. این صنعت علی‌رغم پیشرفت فناوری‏ها و ماشین‏آلات و استاندارد‏ها در مدیریت پروژه، به دلیل وجود فعالیت‏های فاقد ارزش افزوده و اتلافات فراوان در روند اجرای پروژه‏ها با عدم بهره‏وری و سطح کارآمدی پایین روبروست این موضوع باعث افزایش زمان و هزینه مازاد بر برنامه‏ریزی اولیه خواهد شد که علاوه بر کاهش سود پیمانکار باعث به خطر افتادن سرمایه‏ی کارفرما و سایر ذینفعان، پروژه‏ها را با ریسک شکست و عدم دستیابی به اهداف تعیین شده می‏نماید. در نتیجه حذف اتلافات به عنوان عامل اصلی افزایش زمان و هزینه پروژه‏های عمرانی امری مهم و ضروری است. این پژوهش به بررسی تأثیر فناوری مدل‌سازی اطلاعات ساخت و قابلیت‏های آن در اثربخشی ساخت و ساز ناب با هدف حذف یا به حداقل رساندن اتلافات پروژه‏های ساخت می‏پردازد. این پژوهش با رویکرد مصاحبه ساختاریافته بر اساس ماتریس تصمیم و سپس تحلیل نتایج با روش‏های تصمیم‏گیری چندمعیاره انجام گردید. نتایج بدست آمده نشان از تأثیر فناوری مدل‌سازی اطلاعات ساخت بر افزایش اثربخشی ساخت و ساز ناب از جنبه‏های مختلف دارد. این پژوهش نشان می‏دهد که مدل سه‌بعدی BIM توانسته است بسیاری از ریسک‌های منشأ اتلافات را حذف یا کاهش دهد، در حالی‌که مدل‌های پیشرفته‌تر مانند مدل‌های چهار و پنج‌بعدی با وجود هزینه و پیچیدگی بیشتر، تأثیر کمتری بر حذف ریسک‌های منشأ وقوع اتلافات دارند. همچنین به‌کارگیری قابلیت‌های فناوری BIM می‌تواند با کاهش یا حذف ریسک‌های ناشی از عدم قطعیت، ناهماهنگی اطلاعات و ضعف در طراحی و برنامه‌ریزی، نقش مؤثری در کاهش اتلافات و بهبود عملکرد پروژه‌های عمرانی ایفا نماید.
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Qualitative Assessment of the Effectiveness of Lean Construction with the Approach of Building Information Modeling (BIM)

نویسندگان English

Soroush Askari khozankalaee 1
Eghbal Shakeri 2
1 M.sc, Department of Civil Engineering and Environment, Amirkabir University of Technology, Tehran, Iran
2 Associated Professor, Department of Civil Engineering and Environment, Amirkabir University of Technology, Tehran, Iran
چکیده English

The construction industry constitutes a significant portion of the national economy, with many other industries and jobs directly or indirectly dependent on it. Despite advancements in technology, machinery, and project management standards, this industry continues to face low productivity and efficiency due to numerous non-value-adding activities and widespread waste during project execution. This situation leads to time and cost overruns beyond the initial plans, which not only reduce the contractor's profit but also jeopardize the investment of the client and other stakeholders, exposing projects to the risk of failure and the inability to meet predefined objectives. Therefore, eliminating waste—recognized as a key contributor to time and cost increases in construction projects—is both crucial and necessary.This study investigates the impact of Building Information Modeling (BIM) technology and its capabilities on enhancing Lean Construction effectiveness with the aim of eliminating or minimizing waste in construction projects. The research was conducted using a structured interview approach based on a decision matrix, followed by analysis of the results through multi-criteria decision-making methods. The findings indicate that BIM technology significantly enhances Lean Construction effectiveness from various perspectives. The study reveals that the 3D BIM model has been able to eliminate or reduce many of the risks that lead to waste, whereas more advanced models—such as 4D and 5D BIM—despite their higher cost and complexity, have shown less impact on mitigating waste-related risks. Furthermore, utilizing BIM capabilities can play a pivotal role in reducing waste and improving the performance of construction projects by minimizing or eliminating risks arising from uncertainty, information inconsistency, and deficiencies in design and planning.

کلیدواژه‌ها English

Lean Construction
Building Information Modeling
Multi-Criteria Decision Making
Waste
Effectiveness
1.            Bertagnolli, F. (2018(, Lean Management. Springer Wiesbaden.
2.         Maraqa, M. Sacks, R. and Spatari, S. (2021). Quantitative assessment of the impacts of BIM and lean on process and operations flow in construction projects. Engineering, Construction and Architectural Management.
3.         Kumar, V. and Jain, A. (2022). Efficient Construction by Implementation of Lean Management Principles. International journal of Scientific Research in Civil Engineering, 3(2).
4.         Ohno, T. (2019). Toyota production system: beyond large-scale production. Productivity press.
5.         Sacks, R. Korb, S. and Barak, R. (2017). Building lean, building BIM: improving construction the Tidhar way. Routledge.
6.         Nagapan, S., I.A. Rahman, and A. Asmi. (2011). A review of construction waste cause factors. In: Asian Conference on Real Estate: Sustainable Growth Managing Challenges (ACRE).
7.         Adewuyi, T. and Odesola, I. (2015). Factors affecting material waste on construction sites in Nigeria. Journal of Engineering and Technology (JET), 6(1), p. 82-99.
8.         Won, J. and  Cheng, C. (2017). Identifying potential opportunities of building information modeling for construction and demolition waste management and minimization. Automation in Construction,. 79, p. 3-18.
9.         Al-Aomar, R. (2012). Analysis of lean construction practices at Abu Dhabi construction industry. Lean Construction Journal, p. 105-121.
10.          Moaveni, S. and Shariatmadar, H. (2021). Ranking the Rework Causes in Iran's Construction Projects and Investigating the Effect of Lean Construction Techniques. Amirkabir Journal of Civil Engineering, 53(1), p. 127-148.
11.       Abbasian-Hosseini, A., A. Nikakhtar, K. Wong, and A. Zavichi, Implementing Lean Construction Theory into Construction Processes' Waste Management. (2012). In: International Conference on Sustainable Design and Construction (ICSDC). 414-420.
12.       Oladiran, O.J. (2009). Causes and minimization techniques of materials waste in Nigerian construction process. In: Fifth International Conference on Construction in the 21st Century (CITC-V).
13.       Al-Hajj, A. and Hamani, K. (2011). Material Waste in the UAE Construction Industry: Main Causes and Minimization Practices. Architectural Engineering and Design Management, 7, p. 221-235.
14.       Abhiram, P., Asadi, S. and Prasad, A. (2016). Implementation of Lean methodology in Indian construction. International Journal of Civil Engineering and Technology, 7, p. 641-649.
15.       Bajjou, M.S., Chafi, A. and En-Nadi, A. (2017). The potential effectiveness of lean construction tools in promoting safety on construction sites. International Journal of Engineering Research in Africa, 33: p. 179-193.
16.       Lu, W. and Yuan, H. (2010). Exploring critical success factors for waste management in construction projects of China. Resources, conservation and recycling, 55(2): p. 201-208.
17.       Khaleel, T. and A. Al-Zubaidy, (2018). Major factors contributing to the construction waste generation in building projects of Iraq.  In: The 3rd International Conference on Buildings, Construction and Environmental Engineering.
18.       Senaratne, S. and Wijesiri, D. (2008). Lean Construction as a Strategic Option: Testing its Suitability and Acceptability in Sri Lanka. Lean Construction Journal.
19.       Menegaki, M. and Damigos, D. (2018) A review on current situation and challenges of construction and demolition waste management. Current opinion in green and sustainable chemistry. 13, p. 8-15.
20.       Formoso, C., Soibelman, L. (2002). Material waste in building industry: main causes and prevention. Journal of construction engineering and management, 128(4), p. 316-325.
21.       Wang, J. and W. Lu, (2010). Critical success factors for on-site sorting of construction waste: a China study. Resources, conservation and recycling, 54(11), p. 931-936.
22.       Saez, González, A. and Porras-Amores, C. (2013). Best practice measures assessment for construction and demolition waste management in building constructions. Resources, Conservation and Recycling, 75, p. 52-62.
23.       Wang, J., Li Z., and Tam, W. (2014( Critical factors in effective construction waste minimization at the design stage: a Shenzhen case study, China. Resources, Conservation and Recycling, 82, p. 1-7.
24.       Gangolells, M., Casals, M. (2014). Analysis of the implementation of effective waste management practices in construction projects and sites. Resources, Conservation and Recycling, 93.
25.          Abbasianjahromi, H. , Pournaghi keykele, M. and Ravanshadnia, M. (2022). Using scientific research techniques to investigate future contexts integrating the three concepts of sustainable development, lean construction and building information modelling. Journal of Structural and Construction Engineering8(11), p. 45-60.
26.       Issa, U. (2013). Implementation of lean construction techniques for minimizing the risks effect on project construction time. Alexandria Engineering Journal. 52, p. 697–704.
27.       Ballard, G. and Tommelein, I. (2016). Current process benchmark for the last planner system. Lean Construction Journal, 89, p. 57-89.
28.       Galiano-Garrigos, A., Montoya, M. (2020). BIM and Lean construction interactions: A state-of-the-art review.
29.       Zimina, D., Ballard, G. and Pasquire, C. (2012). Target value design: using collaboration and a lean approach to reduce construction cost. Construction Management and Economics, 30, p. 383-398.
30.       Arbulu, R. and G. Ballard. (2004). Lean Supply Systems in Construction. In: 12th Annual Conference of the International Group for Lean Construction.
31.       Eastman, C. (2011). BIM handbook: A guide to building information modeling for owners, managers, designers, engineers and contractors. John Wiley & Sons.
32.       Eldeep, A., Farag, M. and El-hafez. (2021). Using BIM as a lean management tool in construction processes – A case study. Ain Shams Engineering Journal, 13.
33.       Mollasalehi, S. (2017). How BIM-lean integration enhances the information management process in the construction design. In: 25th Annual Conference of the International Group for Lean Construction.
34.       Sacks, R., Koskela, L. (2010). Interaction of Lean and Building Information Modeling in Construction. Journal of Construction Engineering and Management. 136.
35.       Bhatla, A. and Leite, F. (2012). Integration framework of bim with the last planner systemtm. In: 20th Annual Conference of the International Group for Lean Construction.
36.       Toledo, M., Olivares, K. (2016). Exploration of a lean-BIM planning framework: A last planner system and BIM-based case study. In: 24th Annual Conference of the International Group for Lean Construction.
37.       Koseoglu, O., Sakin, M. (2018). Exploring the BIM and lean synergies in the Istanbul Grand Airport construction project. Engineering, Construction and Architectural Management, 25.
38.          Samadi, P. , Azizi, M. and sobhiyah, M. H. (2024). Investigating the impact of using Building Information Modeling on reducing barriers to Off Site Manufacturing in construction projects. Journal of Structural and Construction Engineering, 11(7), 79-98.
39.       Eldeep, A., Farag, M. (2022). Using BIM as a lean management tool in construction processes – A case study. Ain Shams Engineering Journal, 13(2).
40.       Al Hattab, M. and Hamzeh, F. (2018). Simulating the dynamics of social agents and information flows in BIM-based design. Automation in Construction, 92.
41.       Babalola, O., Olanipekun, A. (2019). Assessment of the role of lean construction practices in environmental sustainability. Journal of Physics: Conference Series.
42.       Creswell, J. (1998). Qualitative inquiry and research design: Choosing among five traditions. London: sage publications.
43.       Morse, J. (1994). Designing funded qualitative research. Sage Publications. p. 220–235.     
44.       Keshavarz-Ghorabaee, M. (2021). Determination of Objective Weights Using a New Method Based on the Removal Effects of Criteria (MEREC). Symmetry, 13.
45.       Yazdani, M., Zaraté, P. (2018). Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57.

  • تاریخ دریافت 15 اسفند 1403
  • تاریخ بازنگری 16 خرداد 1404
  • تاریخ پذیرش 21 تیر 1404