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- Sustainability
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- Efficiency and Productivity Improvement
Efficiency and Productivity Improvement
The Nissha Group has identified "Efficiency and productivity improvement" as a materiality. By enhancing these through the use of digital technologies, we can not only strengthen our own competitiveness, but provide value to our customers and contribute to solving social issues.
We are reforming not just production but all internal processes through going digital. To move ahead with these changes and reforms, we consider human resources are the most important thing, so are focusing efforts on employee training.
We are reforming not just production but all internal processes through going digital. To move ahead with these changes and reforms, we consider human resources are the most important thing, so are focusing efforts on employee training.
Initiatives
The Nissha Group is actively working on improving work efficiency and productivity through our project to promote DX (DX Projects), and has seen impressive results. Our main initiatives are as follows.
- We are using digital twin technology to give us precise virtual simulations for plant layout and personnel allocations, allowing us to find more efficient personnel allocations and reducing the number of people we need.
- We have added the calculation of greenhouse gas emissions, viewing past problems, and displaying risks and countermeasure proposals as new functions to the automated estimates system we have developed and use in-house, enhancing design support through AI.
- We are constructing a system platform that can concentrate performance data in our multidimensional database to increase the efficiency of what used to be the complex work of collecting statistics in order to handle forecast analysis and planning simulations. Through this, we have developed a system that supports both flexible and accurate management decisions.
As a method of productivity improvement in desk work arenas, we have continued to expand the automation and streamlining of tasks using RPA (Robotic Process Automation) and other tools. Since its full scale implementation in 2019 to the end of 2024, approximately 90,000 hours of work time per year have been automatized and streamlined.
Major strides were made in the use of generative AI in the fiscal year ended December 2024. The use of ChatGPT in-house, which was brought in at the end of the fiscal year ended December 2023, has expanded both in Japan and overseas. Moreover, we have implemented trial use of Microsoft’s Copilot service in Japan and overseas, and usage cases are being shared among the workplaces, creating an impact.
In the fiscal year ending December 2025, we are engaged in “data utilization” and “improved accuracy of decision-making through simulations” as key themes with a focus on continuing and creating our DX Projects.
At the Nissha Group, we utilize learning opportunities and encourage reskilling both in-house and externally, such as holding classes on generative AI and BI tools, in order to improve DX literacy. We also focus on educating people in data science through training and dispatching them to graduate school through our links with Shiga University. Moreover, we have brought in an assessment tool that complies with digital skill standards, have visualized employee skills, and have constructed a platform aimed at staffing optimization.
