Jide: Ramp Manufacturing, Maintain Quality
Key Takeaways
⇨ Jide adopted SAP HANA and SAP Manufacturing Execution on Lenovo's high-performance infrastructure, transitioning to a data-driven manufacturing process.
⇨ The implementation reduced Jide's line-stop rate from 10% to 4%, significantly lowering operational costs and increasing production throughput.
⇨ Lenovo's solutions ensured >99.99% availability and seamless scalability, supporting Jide's future growth and digital initiatives.
The Challenge
In the past, Jide relied on manual processes to manage its manufacturing operations. At the end of each working day, an employee at each station would inventory the quantity of components produced, and then record the data in Jide’s ERP system. As well as making it difficult to ensure that each manufacturing station was on track to meet its daily targets, this approach limited Jide’s ability to identify production defects in a timely manner, increasing the potential for wastage and delays. To help solve these challenges and achieve the long-term growth goals, the company targeted an advanced, data-driven approach to manufacturing management. The aim was to deploy leading-edge, computer-controlled molding machines, connected to and controlled by SAP business systems. The new way of working promised to offer fine-grained control over manufacturing processes, faster visibility of production defects, and real-time insights into operational performance, enabled by SAP HANA and SAP Manufacturing Execution. Because the new SAP solutions would be integral to the day-to-day running of the business, the company looked for an IT platform that would minimize the risk of unplanned downtime. At the same time, Jide wanted a solution that offered the performance for demanding analytics workloads, and the scalability to support its continued business and data growth.
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