New opportunities for city logistics

 0    20 tarjetas    dmytroint
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término English definición English
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3D PRINTING
2
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AUGMENTED REALITY
3
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BIG DATA
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CLOUD LOGISTICS
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INTERNET OF THINGS
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ROBOTICS & AUTOMATION
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SELF-DRIVING VEHICLES
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UNMANNED AERIAL VEHICLES
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SELF-LEARNING SYSTEMS
+ for 3D
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1) This would reduce lead times and cut inventory costs 2) highly individualized products 3) Reduce transport costs 4) creating products closer to point-of-use
- for 3D
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1) Restrictions on materials and speed of 3D printing 2) could be targeted by hackers
+ for AR
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➢Vision picking ➢Hands-free operation ➢Faster training
- for AR
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➢Integration into existing warehouse management systems requires new standards and interfaces ➢need further explored
R&A
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assisting workers with warehouse, transportation, and even last-mile delivery activities.
Int if things
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connect anything to the Internet and accelerate data-driven logistics.
Self-driving vehicles
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1) Use radar, laserlight, GPS, odometry and computer vision. 2) reduced mobility costs, increased safety, increased customer satisfaction, less need for insurance. 3) increase traffic flow 4) 24/7
Self-learning sys +
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1) Faster problem solving and decision making based 2) Improvement of logistics processes, increasing efficiency and quality 3) Real-time data analysis
Self-learning sys -
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1) require future research 2) High setup costs
UNMANNED AERIAL VEHICLES +
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1) Operational efficiency of first- and last-mile logistics networks can be increased 2) Reduction of risk and accidents 3) Increased flexibility and speed of delivery, especially in megacities
UNMANNED AERIAL VEHICLES -
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1) Hacking 2) Safety from the public 3) Traffic in crowded airspace networks

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