# BIM-GIS-Based Approach for Quality Management Aligned with ISO 9001
## 3 Literature Review
### BIM for Quality Management  
In the last decade, BIM has become a crucial tool for promoting collaboration and digitization in construction projects [51]. In terms of quality, BIM offers alternatives for managing information in a centralized way on a virtual replica, ensuring data traceability [52]. Conflict detection techniques allow identifying, sharing, and communicating defect information between disciplines in a collaborative virtual model [49], avoiding quality defects, and eliminating major system conflicts before installation [53]. While control and planning using BIM models can provide essential information on construction elements, quality standards, control procedures, and assignment of responsible parties, facilitating compliance with quality requirements [54; 55]. Additionally, the integration of BIM models with portable devices, such as tablets or mobile phones, through cloud-based linking of information, has led to enhanced stakeholder involvement [56], including the elimination of paper-based tasks, improved reporting systems, rework avoidance, and prompt information updating throughout the project life cycle [57]. Several studies in the literature have proposed management and quality control models based on BIM [58]. Table 1 shows a comparison between the mentioned applications, considering the following parameters:  
1. Reference of the article;
2. Aim of the article;
3. Tools employed for quality data collection from construction sites;
4. Type of structure used for the case study;
5. BIM software used within the workflow of the proposed method;
6. Hardware employed in the quality management tasks;
7. Maturity level of the proposed method in the research concerning its application item. The studies included in Table 1 were selected based on their relevance to construction quality management during the execution phase and their incorporation of BIM technologies to support data collection, traceability, or quality documentation. The selection aimed to represent a range of technological approaches, application contexts, and maturity levels described in the literature. In some cases, specific information about the data acquisition methods was not provided in the original articles; these instances are indicated as \"N.S.\" (Not Specified) in the table. The characterized studies show advances focused on the development of automation in acquiring, storing, and managing quality control information on-site. Revit is presented as the leading BIM software, serving as the central tool for modeling and information management [65]. However, most of them stand out for integrating software tools, including programming environments, and virtual data storage servers [66]. Regarding hardware, mobile devices are used to fill out forms and checklists in the field and to capture images to record evidence in quality controls. Integrating all these tools has proven to generate value in data processing quickly and effectively. Moreover, the incorporation of semi-automated data workflows within BIM models supports real-time monitoring and structured decision-making in quality control processes [67]. Integrating inspection data directly into the model environment enables more efficient tracking of construction quality and timely identification of nonconformities. These functionalities align with the evolution of autonomous systems in Smart Industry, where the goal is to enhance construction oversight through interoperable digital platforms and CPS integration [68].