Line Operations Analytics (Fortune 500 Technology Company)

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In this case study learn how BRIDGEi2i helped a Fortune 500 Technology company to develop a mobile-enabled dashboard to identify root cause to Throughput, Utilization and Yield metrics and delivered Real-time reporting using the Line Operations system

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Line Operations Analytics (Fortune 500 Technology Company)

  1. 1. A Case Study in Line Operations Analytics A Fortune 500 Technology Company Quick Context Objective a. A contracted manufacturing scenario for printers; OEM has little control over manufacturing operations b. Recently experiencing Throughput, Utilization and Yield related issues Impact • BRIDGEi2i specializes in several Line Operations analytics with an appreciation for the fact that the fixes must be very well evaluated before being operationalized Key Success Elements Our Approach 2 Months 2 Years Client Project length Length of relationship with client • Build plan, historical actual builds, Product BOMs, shortage reports, daily throughput, utilization, yield and station- level data was obtained from the Client ERP • Capacity and Line configuration was obtained from the Line Management System • Tableau was used for dashboarding the metrics • Key Performance Indicators and Metrics were created to reflect the core manufacturing metrics – Throughput, Utilization and Yield Gaps • Gaps were ascribed to these KPIs using Causal Analysis methods • Finally, the KPIs were plotted as a trend to identify leading indicators of challenges • An Interactive Tableau dashboard that is mobile-ready • Dashboard reflects leading indicators to Line and Station-level challenges – Bottlenecks • All metrics are calculated in-dashboard with least latency – makes the dashboard fast and responsive Data Management Algorithmic Play Operationalization a. To develop a mobile-enabled dashboard to identify root cause to Throughput, Utilization and Yield metrics b. Real-time reporting using the Line Operations system • Ability for Line Management to monitor manufacturing on their mobile devices • Proactively identify issues for timely resolution

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