Fujitsu has developed a new system based on Fujitsu Data Intelligence PaaS, an operation platform for Fujitsu Uvance that leverages data and AI to achieve resilient supply chain management for Electric Works Company of Panasonic (Panasonic EW).
Full-scale operation of the new system at Panasonic EW started last April.
The new system will integrate large amounts of data residing in more than 3000 sites, including domestic and overseas suppliers and factories across the entire organisation to support decision making for business continuity.
Panasonic EW, which handles electrical construction materials, manages tens of thousands of products, parts, and other information for each department, division, and location separately, using different formats of data.
The introduction of the new system manages the data integration of 20 existing systems, including production, sales, inventory, and parts procurement, as well as the identification and visualisation of parts with more than 200,000 parts in stock.
This has resulted in increased optimization of the PSI plan and parts procurement plans at company-wide level. In addition, it also leverages the use of AI to implement accurate demand forecasting models based on data.
Panasonic EW enables dynamic and resilient supply chain management by using data to quickly respond to disasters or changes in the business environment by using AI to predict the uncertain outcomes in order to make corrective decisions.
The company used Fujitsu Data Intelligence PaaS to integrate, store, and visualise data, and to develop an all-in-one business system.
As a result, it has been able to gain control of PSI information, parts procurement plans, and inventory status at each site at the company-wide level, thereby improving efficiency promoting operations across divisions, and achieving inventory leveling by adjusting inventory among sites and suppressing orders.
Further, the new system will give insight on each order received during natural disasters, as well as the impact of profit and loss on the entire business and will ultimately support decision-making for maintaining production and supply systems.
In addition, by leveraging Fujitsu Data Intelligence PaaS’s seamless data integration capabilities, Panasonic EW successfully identified and visualised parts in its inventory of over 200,000 parts in as little as two weeks, without the modification of existing systems.
Panasonic EW used Fujitsu Kozuchi AutoML, Fujitsu’s AI service that can generate highly accurate machine learning models in a short period of time, to generate 300 predictive models based on sales results of key components over the past five years from information integrated into the data base. This will enable highly accurate PSI planning for each component category.
