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Our Case Study database tracks 1,841 solution providers in the global IoT Ecosystem.
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Coca Cola Swaziland Conco Case Study - AVEVA Industrial IoT Case Study
Coca Cola Swaziland Conco Case Study
Coco Cola Swaziland, South Africa would like to find a solution that would enable the following results: - Reduce energy consumption by 20% in one year. - Formulate a series of strategic initiatives that would enlist the commitment of corporate management and create employee awareness while helping meet departmental targets and investing in tools that assist with energy management. - Formulate a series of tactical initiatives that would optimize energy usage on the shop floor. These would include charging forklifts and running cold rooms only during off-peak periods, running the dust extractors only during working hours and basing lights and air-conditioning on someone’s presence. - Increase visibility into the factory and other processes. - Enable limited, non-intrusive control functions for certain processes.
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Ascend Performance Materials Case Study - AVEVA Industrial IoT Case Study
Ascend Performance Materials Case Study
Ascend operations must access multiple software systems to manage day-to-day operations in an effective and secure manner. These systems generate large sets of data which contain critical information pertaining to management systems, planning and cost information in business systems and energy consumption. As a result, Ascend management was challenged with creating relevant reports reflecting performance measures in overall context of their operational process. The company’s previous process entailed collecting and analyzing data manually which was not effective, since the information collected was generated after the fact, and was too complex for collaborative use across the organization.
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Tata Power Uses AVEVA PRiSM Predictive Asset Analytics Software - AVEVA Industrial IoT Case Study
Tata Power Uses AVEVA PRiSM Predictive Asset Analytics Software
- Avoid asset failures and reduce equipment downtime - Identify subtle changes in system and equipment behavior - Gain advanced warning of emerging equipment issues - Monitor the health and performance of critical assets fleet-wide in real time - Improve maintenance planning y Enable knowledge capture to optimize information sharing between plant personnels
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