Inspenet, August 4, 2023.
Artificial intelligence is emerging as a new industrial revolution and its integration into Locus Robotics robot fleets seeks to provide autonomous solutions to improve productivity, efficiency and precision in logistics and supply chain.
The use of artificial intelligence in data management and its integration with the supply chain through automation opens the possibility of achieving a significant increase in the accuracy, speed and efficiency of operations.
To implement this technology, it is crucial to conduct a thorough assessment of the company’s internal and external capabilities. Manufacturers must identify supply chain processes that could be improved through automation, investigate the capability and applicability of this technology, and explore software tools that are best suited to each customer’s specific needs. Finally, it will be necessary to develop a digital transformation plan to carry out the successful implementation of artificial intelligence in supply chain management.
Locus Robotics and transformation technologies for supply chains
A company that has already implemented automation in their supply chains may benefit from a regular review to ensure they are using the most effective tools and discover new use cases or identify redundancies.
One of the most widespread applications is the use of big data to make business decisions. Through artificial intelligence and machine learning, future demands can be predicted and large data sets analyzed. These tools exceed the precision achieved by a small group of analysts, as in the case of LocusONE, which provides data-driven insights through numerous reports and dashboards in real time.
This enables manufacturers to make more informed decisions using predictive analytics, ensuring that their supply chains keep moving without interruption and that goods and materials arrive at their destination at the right time to meet demand.
An additional example is the monitoring of the movement of goods. Internet of Things (IoT) technology can track the global transportation of goods within manufacturing supply chains. By connecting a GPS device to a container or pallet of goods, managers can track the movement of shipments in real time at every stage, from outbound to final delivery. By integrating with other supply chain systems, the entire process can be automated to ease the management burden.
Greater efficiency productivity
Incorporating robots into warehouses and distribution centers can free workers from dangerous or repetitive physical tasks. To achieve this, it is important to identify the tasks that would benefit most from automation, such as those that could cause injury to employees or slow down their activities. By freeing staff from these repetitive tasks, efficiency and accuracy in operations is improved, while increasing their motivation and allowing them to focus on improving the supply chain.
Robotic process automation can provide a competitive advantage by automating rule-based tasks such as order processing, inventory reordering, generating production schedules, or shipping confirmations.
To integrate robots and improve efficiency in picking and packing, it is essential to seek perfection and continually seek improvements. A personalized artificial intelligence can analyze the movement of goods and create warehouse plans that reduce travel distances, thus maximizing efficiency in operations.
It is feasible to carry out pre-simulations to evaluate the performance of various warehouse management strategies before their implementation. Automation also simplifies data collection and analysis. The combination of the Internet of Things (IoT) with AI-powered robotics inside the warehouse can create a dynamic environment teeming with data and analytics, enabling best practices to be identified and applied to perform warehouse management tasks efficiently. efficient.
Intelligent and automated management
Implementing a Radio Frequency Identification (RFID) system in warehouse inventory uses radio frequency tags to locate stored goods. When properly implemented, it provides a higher level of accuracy and visibility in inventory management. These tags can be attached to products, containers, or pallets for real-time tracking and monitoring, while collecting data such as lot numbers and expiration dates on products.
This system is especially suitable for short distance shipments. In confined spaces, it allows the location of finished products to be determined with a high degree of precision.
Source and photo: https://hardwaresfera.com/noticias/locus-robotics-innovacion-cadena-suministros/
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