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Assessment of building information modeling adoption in building material scheduling in Tanzania’s construction industry
The building construction industry continues to face challenges that affect project delivery, one of which is the traditional practices used for building material scheduling (BMS). Studies indicate that these practices are often inefficient and prone to errors, leading to delays, cost overruns, and low-quality work, affecting the project objectives. Building Information Modeling (BIM) presents a promising solution for addressing these challenges, proven through existing integrations. However, its adoption in BMS practices in construction is still relatively low. Therefore, this study aimed to assess BIM use in BMS in Tanzania’s building construction industry. The study adopted a quantitative research approach, and the study population of 153 registered quantity surveying firms was purposively selected. The study data was collected using online questionnaires and analyzed with the Statistical Package for Social Sciences (SPSS). The study findings indicate that traditional practices are still favored over BIM when scheduling building materials in Tanzania, with the most predominant practices being spreadsheets and paper-based methods. Additionally, findings suggest that BIM is not a new concept in Tanzania. However, its adoption in the current practices is relatively low, mainly due to insufficient expertise, training resources, and limited access to BIM software/tools. Moreover, findings indicate a significant belief that BIM can improve BMS practices. These insights can inform policymakers, industry stakeholders, and educational institutions on the necessary steps to promote BIM integration. Therefore, it is recommended that BIM adoption be prioritized by addressing these barriers to enhance project outcomes. Shifting from traditional methods to BIM will lead to more efficient and effective construction processes, making BIM's broader adoption essential for the industry's future success.
Assessment of building information modeling adoption in building material scheduling in Tanzania’s construction industry
The building construction industry continues to face challenges that affect project delivery, one of which is the traditional practices used for building material scheduling (BMS). Studies indicate that these practices are often inefficient and prone to errors, leading to delays, cost overruns, and low-quality work, affecting the project objectives. Building Information Modeling (BIM) presents a promising solution for addressing these challenges, proven through existing integrations. However, its adoption in BMS practices in construction is still relatively low. Therefore, this study aimed to assess BIM use in BMS in Tanzania’s building construction industry. The study adopted a quantitative research approach, and the study population of 153 registered quantity surveying firms was purposively selected. The study data was collected using online questionnaires and analyzed with the Statistical Package for Social Sciences (SPSS). The study findings indicate that traditional practices are still favored over BIM when scheduling building materials in Tanzania, with the most predominant practices being spreadsheets and paper-based methods. Additionally, findings suggest that BIM is not a new concept in Tanzania. However, its adoption in the current practices is relatively low, mainly due to insufficient expertise, training resources, and limited access to BIM software/tools. Moreover, findings indicate a significant belief that BIM can improve BMS practices. These insights can inform policymakers, industry stakeholders, and educational institutions on the necessary steps to promote BIM integration. Therefore, it is recommended that BIM adoption be prioritized by addressing these barriers to enhance project outcomes. Shifting from traditional methods to BIM will lead to more efficient and effective construction processes, making BIM's broader adoption essential for the industry's future success.
Assessment of building information modeling adoption in building material scheduling in Tanzania’s construction industry
Nicholas, Mwebaze (Autor:in) / Monko, Rehema (Autor:in) / Malekela, Kimata (Autor:in) / Zulu, Sam (Autor:in)
14.11.2024
doi:10.37868/sei.v6i2.id307
Sustainable Engineering and Innovation; Vol. 6 No. 2 (2024); 275-283 ; 2712-0562 ; 10.37868/sei.v6i2
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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