1. Application of computer technology
Inspired by companies such as Amazon and Alibaba, process automation will
become the central stage - not only using physical robots that replicate human
actions, but also using robot application software and cognitive computing
services such as artificial intelligence and machine learning. In terms of data,
this will bring about significant changes, allowing staff to focus on truly
critical tasks. When robot process automation is combined with artificial
intelligence cognitive analysis, it can enable programs to make business
decisions like humans.
2. Predictive Maintenance
The integration of various technologies is impacting traditional
maintenance concepts. Before the emergence of the Internet of Things (IoT),
maintenance had always been a passive process, waiting for device failures and
then fixing them. Nowadays, various technology combinations, including
Enterprise Asset Management (EAM), Digital Twin, sensors, RFID tags, intelligent
supply chain, and AI, enable enterprises to gain unprecedented insights into the
lifecycle of products, components, and even materials. Using these technologies,
devices can not only tell enterprises when maintenance, repair, or upgrade is
needed, but also predict when they will fail, enabling end-to-end lifecycle
management. Warehouses around the world are increasingly adopting proactive
maintenance processes to reduce the occurrence of costly equipment failures. Of
course, the same method can also be used to protect perishable goods.
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