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Combine productivity and financial data to show production managers near real-time profit output for each line to help prioritize any maintenance issues

Link demand forecasts to production planning to ensure supply is optimized and that correct production planning is in place to limit overproduction of low-speed SKUs

Leverage IoT data to report on the health of machines in the field,proactively reduce maintenance costs,and better allocate field technicians

Once you’ve built the foundation through these basic steps,you can move on to exploring the possibilities of advanced analytics and artificial intelligence.

结合生产力和财务数据，为生产经理显示每条生产线的近乎实时的利润产出，以帮助确定任何维护问题的优先级

·将需求预测与生产计划联系起来，以确保供应得到优化，并确保正确的生产计划到位，以限制低速SKU的过度生产

·利用物联网数据报告现场机器的健康状况，主动降低维护成本，从而更好地分配现场技术人员

一旦你通过这些基本步骤建立了基础，你就可以继续探索高级分析和人工智能的可能性。