Applying Big Data Analytics in the Manufacturing Industry
The Internet of Things (IoTs) is driving smarter manufacturing, which is generating significant amounts of data. Cognilytics enables monetizing data by increasing efficiencies acr
oss multiple areas of manufacturing processes.
Our Manufacturing practice covers specific use cases in forecasting, price optimization, supply chain disruption, inventory KPIs, warranty data analytics, preventive maintenance, fault detection, failure prediction, machine system/sensor health and visualization and dashboards. Our experience practitioners provide deep data mining analytics capability to improve efficiencies in streamlining the manufacturing process, capitalizing on real time data, and capitalizing on data generated from IoTs.
Read more on how Cognilytics defined technical operations strategy and integration roadmap for a major manufacturer – TECHNICAL STRATEGY to OPTIMIZE OPERATIONS.
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MANUFACTURING – ANALYTICS KPI MATRIX |
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| Functional Area | Time Sensitive KPI | Quality KPI | Cost KPI | Efficiency KPIs |
| Sales and Operational Planning | Demand Forecasting | Forecasting Accuracy | Forecasting process cost versus Margins | Lifetime Value of Procedure Code Mix- Analytics |
| Supplier Relationship Management / Procurement | On Time Delivery | Order Compliance | Total Cost | Fill Rate |
| Inventory Management | Lead Time / Order Fulfillment Rate | Inventory Count Accuracy | Holding Cost, Value of unused cost | Turnover rate / Velocity |
| Supply Chain | Order Fulfillment Rate / On Time Orders | Order Compliance, Partial versus full Order, Order Accuracy | Transportation Cost, Vehicle Load – full versus Partial and Cost associated | Vehicle Load, Disruption KPIs – bottlenecks, Vendor performance |
| Shop Floor Execution | Operations / Phases actual time | Machine Ideal Time | Activity Cost | Activity bottlenecks, Work Center efficiencies |
| Order Settlement | Cost Structure Availability | Order Variance | Settlement Cost | |