The quality management process spans the entire project lifecycle, including the decision-making, survey and design, construction preparation, construction, completion acceptance, and operation and maintenance stages. Utilizing BIM technology enables efficient whole-process quality management by proactively identifying potential issues that may arise during construction. By leveraging the design and construction preparation phases, many quality problems during construction can be prevented, thereby enhancing management efficiency.
Throughout the design, construction preparation, and construction stages, the BIM model is continuously updated and refined. This process results in a comprehensive BIM completion model that accurately reflects both the quality of the building engineering products and the management activities involved. The model facilitates the integration and storage of BIM information across the entire project lifecycle, ensuring seamless delivery of both the physical building and its digital BIM counterpart. During the operation and maintenance phase, quality management is carried out based on this BIM completion model.
The foundation of Total Quality Management (TQM) is the PDCA cycle—Plan, Do, Check, Act—which continuously ensures and enhances both the quality of construction products and the efficiency of quality management. This is achieved through quality planning, control, assurance, and improvement activities.
However, in practice, there is often insufficient focus on quality planning, assurance, and improvement. Quality planning frequently lacks robust data support, reducing it to a mere formality without clear specifics, which adversely affects subsequent quality assurance efforts. Without thorough early-stage planning, refined management becomes impossible, leading to reactive and limited process control, where quality issues are addressed only after they arise instead of being proactively managed. This lack of proactive control undermines real-time tracking and control capabilities.
Moreover, inadequate quality planning and assurance can cause inconsistencies in physical quality control. The absence of effective information integration throughout the quality management process creates a negative feedback loop, where quality improvement efforts lack a solid data foundation.
By leveraging BIM technology, quality management benefits from comprehensive information collection and storage, facilitated by front-end collection devices and back-end databases. This integration forms the basis for BIM big data, which serves multiple purposes:
- Providing valuable references for quality planning in similar projects and enabling simulation of planning scenarios to verify economic feasibility;
- Enabling real-time process tracking and dynamic project control through continuous data collection;
- Integrating and storing product, process, and organizational information to establish a strong data foundation for ongoing quality improvement.
Must log in before commenting!
Sign Up