General Electric Uses Digital Twin to Cut Costs and Save Time
References: ge & business-standard
General Electric uses digital twins to visualize, predict and maintain its organization. Its process includes building digital models of complex machinery. In latest developments, General Electric in Bengaluru commissions the head of physical-digital analytics to help the HR department curb attrition.
Vinay B Jammu and his team utilize the same concept that GE uses to test machinery and better customer experience across the board -- including aviation, power, energy and healthcare. The team created a digital twin that takes into consideration different inter-corporate factors -- from who a group of people answer to to how many promotions and awards employees receive per sector. The digital twin model encompassed 5-10 individuals from each department.
In the end, Jammu's system is able to cut costs, boost productivity, as well as solve housekeeping problems like reducing wastage in GE cafeterias.
Vinay B Jammu and his team utilize the same concept that GE uses to test machinery and better customer experience across the board -- including aviation, power, energy and healthcare. The team created a digital twin that takes into consideration different inter-corporate factors -- from who a group of people answer to to how many promotions and awards employees receive per sector. The digital twin model encompassed 5-10 individuals from each department.
In the end, Jammu's system is able to cut costs, boost productivity, as well as solve housekeeping problems like reducing wastage in GE cafeterias.
Trend Themes
1. Problem-solving Digital Twin Models - Digital twin technology can be repurposed for problem-solving beyond machinery maintenance.
2. Visualized HR Analytics Using Digital Twin - Applying digital twin to HR analytics can provide a more holistic view of the organization and improve employee satisfaction.
3. Cross-industry Adaptation of Digital Twin - Digital twin technology can be applied to various industries, from aviation to healthcare, for efficient maintenance and improved customer experience.
Industry Implications
1. Manufacturing - Digital twin technology can be adapted to monitor and maintain complex machinery in manufacturing.
2. Human Resources - Digital twin can be applied for a more comprehensive HR analytics and reduce employee attrition.
3. Aviation - Applying digital twin can improve maintenance and customer experience in aviation industry.
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