IoT in Logistics. An assessment of today s and tomorrows opportunities

Transcription

1 IoT in Logistics An assessment of today s and tomorrows opportunities DB Mobility Logistics AG Dr. Armin Günter Research and Innovation DB Schenker

2 Logistics 4.0 will address strategic perspective, concrete projects, and the supporting enablers at DB Schenker Product of the future New digital solutions Target picture: Logistics market of the future Key developments Business models Competitive landscape 3 Customer interface of the future Optimized processes & assets Enablers DB Schenker Labs Research cooperations Customer innovation projects Asset intelligence Workplace of the future Data analytics DB Mobility Logistics AG Strategy Transportation and Logistics 2

3 The DB Schenker Enterprise Lab for Logistics and Digitization startet operation in January 2015 DB Mobility Logistics AG Research and Innovation DB Schenker 3

4 Digitization in logistics drives the lab s research focus Internet of Things is one of the main topics Digitization Digital Services IoT 3D Printing Augmented Reality Decision Support Digital Inbound Source: DB Schenker Enterprise Lab for Logistics and Digitization DB Mobility Logistics AG Research and Innovation DB Schenker 4

5 What is the Internet of Things? And what are the expectations? Source: Digital Single Market, DB Mobility Logistics AG Research and Innovation DB Schenker 5

6 IoT applications can reach mainstream adoption within 5-10 years, some even much earlier Source: gartner.com DB Mobility Logistics AG Research and Innovation DB Schenker 6

7 A peek into the future: All you will need to start with is a bunch of sensors with preprocessing Source: - "The Matrix" DB Mobility Logistics AG Research and Innovation DB Schenker 7

8 and an analytics machine with a dashboard in the cloud Source: DB Mobility Logistics AG Research and Innovation DB Schenker 8

9 IoT in logistics means that vehicles, containers, goods are communicating, and all kinds of information are available DB Mobility Logistics AG Research and Innovation DB Schenker 9

10 The Internet of Things leads to more and more knowledge about transported goods, and finally to autonomous routing Complexity Identification Localization Monitoring Autonomous I am I am and I know where, at all times I know, I know where and how my status is I am, I know where, and find my route Package (e.g. parcel) Loading equipment (e.g. palette) Container (e.g. swap body) Car (e.g. rail car) Mainstream First applications Research DB Mobility Logistics AG Research and Innovation DB Schenker 10

11 In our innovation radar on IoT, we identified 150 applications, that we condensed to six scenarios for IoT in logistics Autonomous Transport Smart Maintenance Supply Chain Optimization Last Mile Logistics Smart Warehouse Supply Chain Transparency Source: DB Schenker Enteprise Lab for Logistics and Digitization DB Mobility Logistics AG Research and Innovation DB Schenker 11

12 We see IoT as a supporting process from the sensor to the action taken Dash Board Monitoring / Control Actuator Human decision Cloud / Processing / Analyse Middleware / Translator Automated control command Sensor / Preprocessing DB Mobility Logistics AG Research and Innovation DB Schenker 12

13 Many current IoT cases focus on monitoring tasks with a certain analytics part, and are silo cases (1/2) #1 Bearing Health Monitoring #2 Track&Trace+ #3 Energy Monitoring Monitoring / Control Cloud / Processing / Analyse Middleware / Translator Sensor / Preprocessing Source: #1 Perpetuum; #2 ZF TAGtive Logistics; #3 Bridgely DB Mobility Logistics AG Research and Innovation DB Schenker 13

14 Many current IoT cases focus on monitoring tasks with a certain analytics part, and are silo cases (2/2) #4 ibin #5 iboat #6 crowd data traffic information Monitoring / Control Cloud / Processing / Analyse Middleware / Translator Sensor / Preprocessing Source: #4 Würth ibin; #5 Holonix icaptain; #6 inrix.com DB Mobility Logistics AG Research and Innovation DB Schenker 14

15 For inter-company (eco-system) supply chain optimization, widely accepted standards are yet to come Source: Fraunhofer IML DB Mobility Logistics AG Research and Innovation DB Schenker 15

16 What s next? Many questions are still open Valid business cases, esp. in low-labor-cost countries? Can we really handle the complexity? Who owns the data, who gets the profit? Do we really need standards? What about security? What about data quality? DB Mobility Logistics AG Research and Innovation DB Schenker 16