Improving productivity by strengthening the manufacturing foundation
First written in FY2018. 7 of 8 entries say "Advanced", first in FY2020. Latest entry: FY2026.
The whole theme swung hardest in 2025: 1 of 11 companies on the "Worse" side.
4 other companies' latest entry also says "Advanced".
- FY2026AdvancedAnnual report
「Productivity in setting-out work (*13) improved by approximately 20%.」
Through the integration of BIM and digital construction technologies, advanced the acceleration of construction planning and the reduction of rework, achieving an approximately 20% improvement in productivity in setting-out work. - FY2025AdvancedAnnual report
「Our company and Canon Marketing Japan Inc. jointly developed a system to visualize and support improvements in truck drivers’ waiting and loading and unloading times at logistics facilities, and began a demonstration project in November 2024 to verify the system’s effectiveness at “DPL Hiratsuka,” a multi-tenant logistics facility developed by our company.」
Developed an AI camera-based system to automatically measure waiting and loading and unloading times in response to the logistics industry’s “2024 problem,” and advanced it to the demonstration phase. - FY2024-Q1AdvancedAnnual report
「From April 2023, 大和ライフネクスト株式会社 began cleaning operations using autonomous mobile robots at the JR Meguro MARC Building jointly with 株式会社JR東日本ビルディング. This improved cleaning service quality and contributed to higher satisfaction among tenants and building users. Going forward, the company aims to maintain and enhance long-term asset value by visualizing cleaning data.」
Began cleaning operations using autonomous mobile robots in April 2023 and is working to improve service quality and asset value by visualizing cleaning data. - FY2023AdvancedAnnual report
「We jointly developed an autonomous cleaning robot for construction sites. This robot can automate all work equivalent to the 40 hours per month of labor required for workers to clean floors. It can clean approximately 3,000 m² per day (8 hours).」
Developed and commercialized autonomous cleaning robots, inspection drones and AI loading machines to reduce labor requirements and improve productivity at construction sites. - FY2022AdvancedAnnual report
「BIM is being used to optimize processes through data centralization and improve productivity, while the Digital Construction Project is working to reduce labor requirements through the use of robotics in construction work and improve productivity by visualizing conditions at construction sites.」
Gave concrete form to measures for strengthening the manufacturing base through BIM, ICT, robotics and worksite visualization, and also reported demonstration results involving web cameras, drones and welding robots. - FY2022-Q2AdvancedAnnual report
「In the logistics business, 大和物流株式会社 is increasing productivity through the use of digital technology in logistics operations,」
Advancing the use of digital technology in logistics operations as a specific measure to improve productivity in the manufacturing and business infrastructure. - FY2020AdvancedAnnual report
「Accordingly, initiatives to strengthen business systems through digital transformation, including more efficient compliance checks through the introduction of BIM (building information modeling), are essential. It is also necessary to advance unmanned construction at worksites using work robots.」
Specified BIM, digital transformation and unmanned construction using work robots as concrete means of strengthening the manufacturing base and improving productivity. - FY2018First statedAnnual report
「⑦ Improving productivity by strengthening the manufacturing base We will seek to improve productivity through further efficiency gains in manufacturing.」
Newly identified productivity improvement through further efficiency gains in manufacturing as a basic policy of the medium-term management plan.