Implementing Intelligent Robotics in Logistics and Optimising Multi-mile Logistics Planning
Multi-mile logistics concepts, optimisation opportunities in transport planning, artificial intelligence & robotics in logistics
With the emerging technologies and data integration, supply chain logistics strategies are more collaborated than before. This allows for integrated logistics planning which adds-up values to the overall supply chain. Instead of local planning and operating as in single-mile logistics (first, middle, last – mile), the modern approach of multi-mile logistics provides a centralized system for effective planning and control. What are the optimisation opportunities in multi-mile logistics, their business impact, and solution methodologies and challenges? It is essential we understand and amplify these potentials to design an efficient and integrated logistics network.
Robotic manipulators have been introduced in logistics, healthcare services, marine, manufacturing etc. These include autonomous robotics that increase industrial efficiency with capability in vision and sensory technology. Increasingly, intelligent perception methodologies have been deployed for the logistics industry. It is important for firms to understand what are the decision parameters when choosing a system for their needs.
1. What is multi-mile logistics, and its advantages over single-mile logistics
2. Optimisation opportunities in multi-mile logistics and their business impact
3. Case study discussion to motivate multi-mile logistics optimisation
4. How robotic technology plays a major role in Industrial Revolution 4.0
5. What are the key technologies required to revolutionise robotics for industrial applications
Who Should Attend:
Business owners, Chief Supply Chain Officers, Managers and Decision Makers tackling supply chain and logistics concerns in retail, distribution, and manufacturing.
3.05pm – Opening by Dr Victor Goh, Chief Executive Officer, Supply Chain & Logistics Academy
Date: 9th June 2021, Thursday
Time: 3.00pm to 4.30pm
Venue: Zoom webinar
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