A cloud-based collaborative ecosystem for the automation of BIM execution plan (BEP)

Muhammad Azeem Abbas, Saheed O. Ajayi*, Adekunle Sabitu Oyegoke, Hafiz Alaka

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: Master information delivery plan (MIDP) is a key requirement for building information modelling (BIM) execution plan (BEP) that enlists all information deliverables in BIM-based project, containing information about what would be prepared, when, by who, as well as the procedures and protocols to be used. In a well-conceived BEP, the MIDP facilitates collaboration among stakeholders. However, current approaches to generating MIDP are manual, making it tedious, error-prone and inconsistent, thereby limiting some expected benefits of BIM implementation. The purpose of this study is to automate the MIDP and demonstrate a collaborative BIM system that overcomes the problems associated with the traditional approach. Design/methodology/approach: A BIM cloud-based system (named Auto-BIMApp) involving naming that automated MIDP generation is presented. A participatory action research methodology involving academia and industry stakeholders is followed to design and validate the Auto-BIMApp. Findings: A mixed-method experiment is conducted to compare the proposed automated generation of MIDP using Auto-BIMApp with the traditional practice of using spreadsheets. The quantitative results show over 500% increased work efficiency, with improved and error-free collaboration among team members through Auto-BIMApp. Moreover, the responses from the participants using Auto-BIMApp during the experiment shows positive feedback in term of ease of use and automated functionalities of the Auto-BIMApp. Originality/value: The replacement of traditional practices to a complete automated collaborative system for the generation of MIDP, with substantial productivity improvement, brings novelty to the present research. The Auto-BIMApp involve multidimensional information, multiple platforms, multiple types and levels of users, and generates three different representations of MIDP.

Original languageEnglish
JournalJournal of Engineering, Design and Technology
Early online date12 Aug 2022
DOIs
Publication statusE-pub ahead of print - 12 Aug 2022

Keywords

  • 3D modelling
  • Automation
  • BIM
  • Building information modelling
  • Computer-aided design
  • Construction
  • Construction and civil engineering management
  • Construction/civil engineering software
  • MIDP
  • Plugin
  • TIDP

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