New opportunities for city logistics

1

3D PRINTING

2

AUGMENTED REALITY

3

BIG DATA

4

CLOUD LOGISTICS

5

INTERNET OF THINGS

6

ROBOTICS & AUTOMATION

7

SELF-DRIVING VEHICLES

8

UNMANNED AERIAL VEHICLES

9

SELF-LEARNING SYSTEMS

+ for 3D

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

1) Restrictions on materials and speed of 3D printing 2) could be targeted by hackers

+ for AR

➢Vision picking ➢Hands-free operation ➢Faster training

- for AR

➢Integration into existing warehouse management systems requires new standards and interfaces ➢need further explored

R&A

assisting workers with warehouse, transportation, and even last-mile delivery activities.

Int if things

connect anything to the Internet and accelerate data-driven logistics.

Self-driving vehicles

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 +

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 -

1) require future research 2) High setup costs

UNMANNED AERIAL VEHICLES +

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 -

1) Hacking 2) Safety from the public 3) Traffic in crowded airspace networks