Lotte Construction Establishes Defect Reduction Task Force... Unifies Site-Specific Quality Standards

From "Post-Response" to "Prevention"
Revising Standard Specifications and Overhauling Technical Standards
Introducing an Integrated Checklist for On-Site Inspections

Lotte Construction has established a company-wide "Defect Reduction Task Force (TFT)" to reduce defects that occur during apartment construction and is reorganizing its entire quality management system across design, construction, and completion based on artificial intelligence (AI).

On May 13, Lotte Construction announced, "We are shifting our quality management paradigm from a focus on 'post-response' to one centered on 'prevention'." Whereas the previous approach mainly involved responding after issues arose on-site, the new strategy is to unify quality standards from the design stage and apply the same criteria throughout construction, inspection, and completion management.

Oilgeun Oh, CEO of Lotte Construction, is inspecting the current status of on-site quality and safety management. Lotte Construction

The newly launched Defect Reduction TFT comprises four departments: Customer Service (CS), Building Construction, Mechanical & Electrical, and the Technical Research Institute. This team has comprehensively reorganized technical standards to be applied at all stages—design, construction, and completion—based on the standard specification manual. The criteria for partner bidding and site manuals have also been improved to ensure that consistent guidelines are implemented at actual construction sites.

Lotte Construction is also introducing AI-based quality management technology. Data collected on-site through mobile and web platforms will be analyzed by AI to identify areas with a high likelihood of quality issues in advance. In the past, data was often managed separately by site and by process, but going forward, the company plans to accumulate inspection histories and defect cases in order to predict recurring problems.

The method for on-site inspections will also be standardized, using a unified checklist. By inspecting according to the same criteria, results from different sites can be compared and recurring defects can be detected more quickly. Inspection outcomes will be shared with responsible staff in real time to enable immediate action.

Management at the completion stage will also be reinforced. Lotte Construction is building a system that integrates construction history and quality data. AI will analyze the data accumulated during the construction process, and the results will be fed back into technical standards and on-site guidelines. The root causes of defects identified at one site will be shared with other sites to prevent the recurrence of similar issues.

A Lotte Construction official stated, "The core of this strengthened quality management system is not just enhancing inspections, but creating standards that actually work on-site and operating them precisely through data and AI. We are focusing on the belief that a solid foundation ultimately leads to the highest quality."

Going forward, Lotte Construction plans to implement these initiatives step by step: refining technical standards, operating integrated quality inspections, advancing AI analysis, and establishing a completion documentation management system. On site, the company will operate a quality experience center to provide hands-on training for staff and assistant managers, strengthening practical education. The aim is to enhance quality management capabilities by enabling employees to learn directly from frequently occurring defect cases on-site.

This content was produced with the assistance of AI translation services.