TRENDS AND INNOVATION FOR THE LOGISTICS INDUSTRY · LOGISTICS INDUSTRY Gina Chung, DHL Trend Research Gert Van Dijck, DHL Energy Sector. 2 Trend radar as basis for exploration Source:

TRENDS AND INNOVATION FOR THE LOGISTICS INDUSTRYGina Chung, DHL Trend Research

Gert Van Dijck, DHL Energy Sector

2

Trend radar as basis for

exploration

Source: DHL Trend Research

Global Energy Conference | Houston | 6 October 2016

Price and cost deflation

Downstream refocus

Digitization

Electrification and

distributed energy

Energy Trends

Augmented Reality

4

Update on vision picking at DHL

Since the initial pilot in

December 2014…


5

Future use cases: vision sorting & pallet building

• Sorter takes good from the conveyor belt and scans the item with

the smart glasses.

• Markers provide graphical information of where to place the good

directly in the field of view of the worker, increasing accuracy.

Source: Ubimax GmbH

• Picker takes good from location and scans product

• Smart glasses shows image of product and how to optimally

place the good on the pallet for efficient and stabilized pallet

building


6

Future devices: elimination of barcode scanning?

Source: Ubimax GmbH


Robotics & Automation

8

…of warehouses today are

manually operated

(St. Onge Company)

80% …shortage of workers in

the US in the next 30 yrs

(Pepperdine)

35mil

Did you know…?

…the price to build a

Kinect prototype, three

years before its release

(NY Times)

$30k


9

Robotics applications: near and future use cases

Trailer and Container

UnloadingMobile Piece PickingCollaborative Order

PickingCollaborative

Co-packing

Autonomous Cleaning Autonomous

IdentificationSurveillance of

Infrastructure

Swarm Conveying


10

Trailer and container unloading robots


Source: Thyssen Krupp

11

Collaborative value-added services robots


Source: DHL

Several global pilots completed with customers

to test collaborative robots ‘Baxter’ and

‘Sawyer’ from Rethink Robotics

Sawyer weighs just 19kg and has a payload of

4kg. He is fully mobile and can be taught tasks

instantly

Targeted applications are for repetitive tasks

such as co-packing activities

12

Collaborative value-added services robots


Source: DHL

13

Collaborative order picking robots


Early PoC conducted together with French

startup Effidence to test the Effibot at a retail

site in Germany

Effibot is an autonomous follow-me robot that

assists pickers by reducing stress and strain. It

also enables the transition from single to multi-

order picking

The Effibot can carry up to 150kg and operates

max 7km/h


IoT and Big Data

15

Why is progress taking so long for IoT in logistics?

Scalable

Sufficient

Lifespan

Low-cost

Interoperable

Durable &

Robust

Certified



16

New IoT connection technologies (LPWAN)

Local Area Network

(LAN)

Low Power Wide Area

Network (LPWAN)Cellular Network

Short Range

Communication

IoT/M2M Traditional M2M

40% 45% 15%

-Well established

standards

-In building

-Low power consumption

-Low-cost

-Positioning

-Existing coverage

-High data rate

-Battery lifetime

-Provisioning

-Network cost &

dependencies

-High data rate

-Emerging standards

-Battery lifetime

-Total cost of ownership

Used for

Benefits

Challenges

Technologies

% Future IoT Applications

NB-IoT

Source: Adapted from Semtech 2016


17

IoT: Digital Oilfield – Ingenu RPMA for Shell


Ingenu and Koncar partnered with Shell Nigeria

to offer IoT connectivity in order to facilitate

digital oilfield functionalities for Shell Nigeria’s

pipelines

Major objective of Digital Oilfield is to increase

profitability of oil and gas production operations

by integration of both engineering and

information technologies

Through the Digital Oilfield concept, Shell

Nigeria will now be equipped with all field data

obtaining resources pertaining to pipeline flow,

temperature, and pressure

Cost savings of over 1 million, exclusively in

infrastructure costs

Source: Ingenu

18

Proof of concept to use Wi-Fi-based localization

technology to:

Track handsets and other warehouse assets

in real time

Use collected data to record potential

collisions

Track and provide information about asset

utilization to optimize costs and asset

availability.

Aggregate tracked movements to identify

potential efficiency improvements

IoT: Connected Warehouse

Source: DHL


Unmanned Aerial Vehicles

20

400,000 – the number of hobby

drones sold in the US in 2015

Did you know…?


21

Unmanned Aerial Vehicles (Drones)

Since 2013, DHL has completed 3

“Parcelcopter” pilots focusing on delivery of

medical and urgent goods to remote areas

such as islands and mountainous regions

1st pilot used quadrocopter with a payload of

1.2kg and speed of 43km/h. 3rd pilot used tilt

wing with a payload of 2kg and speed of

70km/h

Other drone applications currently being tested

include automated cycle count in warehousing

operations and use of drones for surveillance

of infrastructure

Source: DHL Post-eCommerce-Parcel


22Global Energy Conference | Houston | 6 October 2016

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TRENDS AND INNOVATION FOR THE LOGISTICS INDUSTRY · LOGISTICS INDUSTRY Gina Chung, DHL Trend Research Gert Van Dijck, DHL Energy Sector. 2 Trend radar as basis for exploration Source: