Manufacturing · AI
Custom AI Solution Improves Inventory Management for Fortune 500 Glass Fiber Manufacturer
About Our Client
The client company is a Global Glass Fiber Manufacturer consistently committed to developing, refining, and improving its glassmaking technology and introducing new products. The company has production facilities in Japan, Korea, China, Malaysia, UK, Netherlands, Germany, and the US.
The Challenge
Since 2017, the firm's US operation faced a significant change to its digital transformation strategy as they were acquired and needed to conform to the Corporate strategy. They sought out external expertise to advise them on ways to use technology and IoT data to allow product and process improvements.
The challenge was finding a way for process improvement that would scale across multiple production facilities and integrate with both legacy ERP systems and modern IoT sensor networks.
How It Was Solved
After identifying some key pain point indicators within their current process, Azure AI was recommended for creating a Data Lake to consolidate all source data. This included thousands of IoT readings per day as well as information from the manufacturing ERP system, thus providing a unified view across previously siloed systems.
The PoC took five weeks to complete with one add-on week to review and adjust for the initial findings. The data consultant created example dashboards demonstrating the value of the consolidated data approach.
The Results
The solution built included cloud AI and analytics reporting, which gave the client the ability to improve processes by gaining insights into their data and utilizing it to be proactive in their manufacturing business. Our data consultant was asked to implement the solution in additional locations after success at the first site.
After thorough planning, improved dashboards that came together seamlessly were implemented. The company leveraged the recommendations, which resulted in instant improvements to the product quality control and IT processes. They also gained the ability to view and analyze data to drive continuous improvement.
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