BIM log mining: Exploring design productivity characteristics

Pan, Y.; Zhang, Limao

doi:10.1016/j.autcon.2019.102997

Cited by 31 publications

(12 citation statements)

References 32 publications

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“…Dalam teknologi BIM terdapat fasiltas untuk membuat jadwal proyek kontruksi yang dapat dimanfaatkan untuk mengintegrasikan aspek penjadwalan dama BIM (C. Chen & Tang, 2019;W. Chen et al, 2018;Pan & Zhang, 2020;Pučko et al, 2018;Yoo et al, 2020) Dengan penjadwalan yang baik dapat diperoleh informasi jadwal tenaga, jadwal material dan jadwal peralatan yang akan digunakan. Hal ini akan mempermudah dalam mengalokasikan sumber daya tersebut di lapangan agar tepat pada saat dibutuhakan.…”

Section: Pendahuluanunclassified

“…Menurut (Al-Ashmori et al, 2020) penggunaan teknologi BIM dalam bidang konstruksi dapat memiliki banyak manfaat. Adapun manfaat yang dapat diperoleh dari teknologi BIM adalah meningkatkan produktivitas dan efisiensi dalam proses pengelolaan proyek (Bui et al, 2016;Liu et al, 2020;Miettinen & Paavola, 2014;Pan & Zhang, 2020), dan memudahkan dalam menghitung biaya dan waktu pelaksanaan proyek konstruksi apabila terjadi perubahan (C. Chen & Tang, 2019;Mashayekhi & Heravi, 2020;Migilinskas et al, 2013;Santos et al, 2020;Yu et al, 2016).…”

Section: Penerapan Teknologi Bimunclassified

“…Di dalam BIM disediakan juga integrasi penjadwalan dan perancangan proyek konstruksi secara bersamaan (C. Chen & Tang, 2019;W. Chen et al, 2018;Pan & Zhang, 2020;Pučko et al, 2018;Yoo et al, 2020). Pada tahapan pelaksanaan teknologi BIM dapat digunakan untuk memantau dan melacak progres selama konstruksi (Han et al, 2015;Pour Rahimian et al, 2020;Rebolj et al, 2017).…”

Section: Penerapan Teknologi Bimunclassified

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Tingkat Kedewasaan Penerapan Bim Pada Kontraktor Jembatan Di Indonesia

2021

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Perkembangan konstruksi di Indonesia berkembang cukup pesat, pembangunan infrastruktur meningkat 6 tahun terakhir termasuk didalamnya adalah konstruski jembatan. Jembatan merupakan konstruksi yang digunakan untuk melewati rintangan seperti sungai, danau, jalan raya, jalan kereta api atau lembah. Konstruksi jembatan ini banyak ditemui pada pembangunan jalan tol dimana konstruski ini sangat vital untuk menghubungkan dua sisi yang dipisah oleh rintangan. Selain itu jembatan juga banyak kita pada jalan non tol. Di Indonesia teknologi BIM mulai berkembang, beberapa kajian sudah dilakukan baik oleh pemerintah atau swasta untuk memberikan pembelajaran dan pengembangan BIM. Aplikasi BIM sudah mulai dilakukan untuk bangunan gedung baik untuk tahap perencanaan, konstruksi dan operasi dan maintenance. Dalam penelitian ini akan mengkaji penerapan konsep BIM yang sudah dilaksanakan khususnya untuk perencanaan konstruksi jembatan. Analisis dalam penelitian ini menggunakan indeks kedewasaan penerapan BIM untuk mengetahui seberapa jauh peneran BIM dalam proyek jembatan. Selain itu juga dilakukan identifikasi terhadap permasalahan atau hambatan dalam penerapan teknologi BIM. Hasil kajian menunjukkan bahwa penerapan teknologi BIM pada kontraktor masih terbatas pada penggunaan CAD 2D dan 3D dalam desain yang dikerjakannya. Beberapa kendala dihadapi oleh tenaga ahli terkait dengan software, hardware, jaringan komputer dan kesulitan dalam perencanaan dengan BIM. Penerapan teknologi BIM pada perusahaan kontraktor adalah pada level 1 dengan skor 1.16. Pada level ini penerapan teknologi BIM masih didominasi oleh pengelolaan desain berbasis file.

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Section: Pendahuluanunclassified

Section: Penerapan Teknologi Bimunclassified

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Tingkat Kedewasaan Penerapan Bim Pada Kontraktor Jembatan Di Indonesia

2021

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“…They are analogous to web server log files, which have been developed maturely in web content, structure, and usage mining for web intelligence. Since BIM logs have similar characteristics as web logs, it is worthwhile to explore them to identify features of designers’ behavior and work process, which could possibly raise the likelihood of project success in a data‐driven way (Pan & Zhang, 2020). The effectiveness of BIM log mining has been proved in some researches.…”

Section: Literature Reviewmentioning

confidence: 99%

Clustering of designers based on building information modeling event logs

Pan

Zhang

Skibniewski

2020

Computer aided Civil Eng

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A network-enabled event log mining approach is proposed for a deep understanding of the Building Information Modeling (BIM)-based collaborative design work. It proposes a novel algorithm termed node2vec-GMM combining a graph embedding algorithm named node2vec and a clustering method named Gaussian mixture model (GMM) to cluster designers within a network into several subgroups, and then makes cluster analysis. Its superiority lies in the efficient feature learning ability to preserve network structure and the powerful clustering ability to tackle uncertainty and visualize results, which can directly return the cluster embedding. As a case study, a directional network with 68 nodes (designers) and 436 ties (design task transmissions) is constructed based on retrieved data from 4GB real BIM event logs. The node2vec learns and projects the network feature representation into a 128-dimensional vector, which is learned by GMM to discover three possible clusters owning 15, 26, and 27 closely linked designers. Analysis of each cluster is performed from node importance measurement and link prediction to identify information spreading and designers' roles within clusters. Our new algorithm node2vec-GMM is proven to better improve clustering quality than other state-of-the-art methods by at least 6.0% Adjusted Rand Index and 13.4% Adjusted Mutual Information. Overall, the designer clustering process provides managers with data-driven support in both monitoring the whole course of the BIM-based design and making reliable decisions to increase collaboration opportunities. © 2020 Computer-Aided Civil and Infrastructure Engineering

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“…Finally, Pan and Zhang [29] applied fuzzy clustering methods to explore a massive amount of BIM log files from an international architecture design firm in order to identify productivity patterns in the modelers' behavior. They organized the process in three main stages: data preparation, clustering, and knowledge discovery.…”

Section: Bim Users' Behavior and Performance And Bim Log Filesmentioning

confidence: 99%

Behavior and Performance of BIM Users in a Collaborative Work Environment

et al. 2020

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Collaborative work in Building Information Modeling (BIM) projects is frequently understood as the interaction of modelers in an asynchronous way through modification requests or via e-mail/telephone. However, alternative work methodologies based on creating a common and synchronous environment allow solving issues instantaneously during the design process. This study aimed to analyze the behavior and performance of BIM users with different specialties who were subjected to an experimental exercise in a collaborative environment. For this purpose, a process was devised to collect, sort, and select the data from the log files generated by the BIM software. A timeline of the experiment was populated with data on the intensity and types of commands used by each specialist, which allowed determining behavioral patterns, preferred commands, indicators of their experience, further training needs, and possible strategies for improving the team’s performance. In the experiment, the mechanical designer’s performance was 49% and the rest approximately 64%, with respect to that of the architect. An average rate of 1.66 necessary or auxiliary commands for each contributory command was detected. The average performance was 200–400 commands per hour, which intensified by the end of the experiment. Further training needs were detected for the plumbing designer to reduce the use of backwards commands. Conversely, the electrical designer showed a positive evolution regarding this aspect during the experiment. The analysis methods here described become useful for the aforementioned purposes. Nevertheless, combinations with methods from existing research might improve the outcomes and therefore the specificity of recommendations.

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BIM log mining: Exploring design productivity characteristics

Cited by 31 publications

References 32 publications

Tingkat Kedewasaan Penerapan Bim Pada Kontraktor Jembatan Di Indonesia

Tingkat Kedewasaan Penerapan Bim Pada Kontraktor Jembatan Di Indonesia

Clustering of designers based on building information modeling event logs

Behavior and Performance of BIM Users in a Collaborative Work Environment

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