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Digitization of the
transport industry
We are building The Matrix
!
!

Per Olof Arnäs
Chalmers

@Dr_PO
per-olof.arnas@chalmers.se
about.me/perolofarnas
The Transport
industry

3 things:

Per Olof Arnäs

Carbon-free transport by Stéfan on Flickr
…physical
3d boxes by crystaljingsr on Flickr
…public

CC-­‐BY	
  Per	
  Olof	
  Arnäs

Technology	
  Management	
  and	
  Economics	
  
Logis4kcs	
  and	
  Transporta4on

Traffic Jam by Giorgio Minguzzi on Flickr
…analogue

542 miles by Jason on Flickr

CC-­‐BY	
  Per	
  Olof	
  Arnäs

Technology	
  Management	
  and	
  Economics	
  
Logis4kcs	
  and	
  Transporta4on
CC-­‐BY	
  Per	
  Olof	
  Arnäs

Technology	
  Management	
  and	
  Economics	
  
Logis4kcs	
  and	
  Transporta4on
1989

CC-­‐BY	
  Per	
  Olof	
  Arnäs

Technology	
  Management	
  and	
  Economics	
  
Logis4kcs	
  and	
  Transporta4on
1989

Map on the wall with pushpins

Delivery notes
(3 carbon sheets)

Radio
Telephone

Pens in various
colours

CC-­‐BY	
  Per	
  Olof	
  Arnäs

Prices, phone
numbers etc.

Technology	
  Management	
  and	
  Economics	
  
Logis4kcs	
  and	
  Transporta4on

Calculator
Cardfile of
customers, tank
sizes etc.
1989
Ca 100 customers
in west Sweden
6 tanker trucks
(7 partitions per vehicle)

Products:
Gasoline 95
Gasoline 96
Gasoline 98
Diesel
Diesel, colored

8-10 Pricing (yesterday’s orders)
10-12 Call and receive tomorrow’s orders
13-17 Planning

A FULL TIME JOB!
CC-­‐BY	
  Per	
  Olof	
  Arnäs

Technology	
  Management	
  and	
  Economics	
  
Logis4kcs	
  and	
  Transporta4on
The Internet first became available for
Swedish consumers around 1993

+

=

A (bad and expensive) mix between
Teletext and the Yellow Pages

Not very pretty

Few people with
computers
15 years later, in 2008, Google Flu
Trends was launched
Based on what
people google and
where their
computer is located
www.google.org
Ten days ahead
of the official flu
tracker
How	
  will	
  we	
  use	
  the	
  technology	
  in	
  10	
  years?
lm
a

st
o

We have no idea.
!

The girl and the iPad by Niclas Lindh on Flickr (CC-BY)
How	
  will	
  we	
  use	
  the	
  technology	
  in	
  10	
  years?
lm
a

st
o

We have no idea.
!

...and neither does she,
but she will be dissatisfied
with stuff that we think are
pure science fiction and
almost magic.

The girl and the iPad by Niclas Lindh on Flickr (CC-BY)
We are building The Matrix in the transport industry
We are building The Matrix in the transport industry
Development of transportation
technology has been
fairly linear
…for the last 5500 years
Per Olof Arnäs

Stage Coach Wheel by arbyreed on Flickr
inning
beg

We are in the middle of a gigantic
exponential development curve
A new global eco system where new
types of, knowledge based, industries
compete with traditional ones
Startups don’t

compete with airlines...

by purchasing a bunch of
hiring a bunch of
and locking up a bunch of

planes
pilots
terminals at airports.

Miniature Airport by disparkys on Flickr
http://bryce.vc/post/18404303850/the-problem-with-innovation
Startups don’t

compete with airlines...

by purchasing a bunch of
hiring a bunch of
and locking up a bunch of

planes
pilots
terminals at airports.

Startups compete with airlines by
inventing videoconferencing.
Miniature Airport by disparkys on Flickr (CC-BY,SA)
http://bryce.vc/post/18404303850/the-problem-with-innovation
We are building The Matrix in the transport industry
CC-­‐BY	
  Per	
  Olof	
  Arnäs

Technology	
  Management	
  and	
  Economics	
  
Logis4kcs	
  and	
  Transporta4on
Addicted to dead trees
We are building The Matrix in the transport industry
Physical flow

Original? Copy?
Ownership
Consignor

Consignee
In Search Of Lost Time by bogenfreund on Flickr

The biggest problem in
transportation is time.
There is not enough of it.
Ever.
So…

What are we
doing about
all this?
Time horizons
Strategic

Tactical

Operational

Prognosis

Realtime!

We are approaching
this boundary

…and we are
starting to
move past it!
Digitization fronts
Goods

Vehicle

Business
process

Infrastructure
Digitization fronts
Goods

Vehicle
Order handling	
  
Driver support	
  
Vehicle economics

Barcodes	
  
RFID	
  
Sensors

ERP systems	
  
TMS systems	
  
E-invoices	
  
Cloudbased
services

RDS-TMC	
  
Road taxes	
  
Active traffic support

Business
process

Infrastructure
ata

s
gn

be d

si
d
Ro
a

S

Pro

ed
as
rb

Pa
pe

D
R

Route
optimisat
ion

ing

n
too
Pla

2.0

M
Mu ash
up
lti
so ple d s

urc at
es a

na
vi
fo
r
PS
G

es
rvic ata
se
Web raf fic d
t
with

ng
lli ms
To ste
sy

Dy
n
ro am
uti ic
sy
ste ng
ms

ga
tio

l

Ex
c
ha eptio
nd
lin ns
g

1.5

n

RF
ID tag
s

ec
fr tro
ei n
gh ic
t d ally
oc g
um en
e
Pa
en ra
pe
ts ted
rb
as
ed

Di
s
de tribu
ma cisio ted
kin n
g

Sma

El

ce
Ex

W
e
bo b ba
ok se
in d
g

nce
Performa
cess
Based ac

ail

pl Rou
an te
ni
ng

g

e
gu
lo ls
na oo
t

A

E-m
STM ms
te
sys

Fax

e

oic
inv

E-

ity

tiv

ec
nn
co
en
Op
eb
cial w

ion
icat
mun les
Com h vehic
wit

o
The s

In
pr teg
og ra
no ted
si
s

1.0

ni n

0.5

too
Pla

e

on rs
Ph ape
P

0

n
ctio
olle
a c tems )
y
Dat
sys rietar
op
( pr

are
rdw d
Ha iente
or

Manual

UI

Computers

d
se

Sim
p
han le ord
dlin er
g

Digitization version

Business
processes

Pl
a
ba tfo
sy s r
st ed m
em
s

B

Vehicle

Perfor
Based mance
acces
s

Software

l
ue n
r f tio
ito p
on um
M sn
co

rt g
ood
s

Adv
anc
han ed ord
dlin
er
g

ba

es

d
co
ar

co Da
sy llec ta
s t
(o tem ion
pe s
n)

eb
W

bi
s al
a
ds tion nk
oo c li
G ire er
d yp
h

Goods

O
int pen
erf
ac
e

Functions

l
ua
id
iv ting ion
d
In rou at
rm
fo
in

Infra-	

structure

CC-BY Per Olof Arnäs, Chalmers
What happens
when access to
real-time data
increases?

Strategic

Tactical

Operational

Prognosis

Infrastructure

Business
processes

Vehicles

Goods
not quite clear on the concept by woodleywonderworks on Flickr (CC-BY)
We are building The Matrix in the transport industry
Time to switch birds
What would happen if a pallet had
a Twitter account?
Probably nothing.
Probably nothing.
Well, that was not exactly true…
140 characters

Hyperlinked
@-names

Realtime
Hyperlinked
#-tags

Unilateral
subscription
Automagical
geocoding
We are building The Matrix in the transport industry
Reference
trigging event

Hyperlinked
When the shipment passes a reader, the
message is sent automatically
When the shipment passes a reader, the
message is sent automatically
The shipment
reports often

Whoever is interested
can keep track
Association is done in realtime and is
reported instantly
Association is done in realtime and is
reported instantly
The shipment is
associated with Vehicle 18
and Shipment 2345

If you subscribe to
one, you subscribe
to all of them
But… does this mean that all pallets will
have onboard computers now?
But… does this mean that all pallets will
have onboard computers now?
No, of course not.
But… does this mean that all pallets will
have onboard computers now?
No, of course not.
It is enough that it has a digitally
readable identity, like a RFID tag
But… does this mean that all pallets will
have onboard computers now?
No, of course not.
It is enough that it has a digitally
readable identity, like a RFID tag
All logic is located in the reader
Su

Su

bs

bs

cri

cr

Subscrip

ine
b

ip

pti

tio

n

on

tion

m
Co

M

as

hu

Create value

p

Rem
ix

ion
ipt

scr
ub

SETI by Paulo Alegria on Flickr

S

My
own
data
ub
Su
bsc
sc r
ub
riip
scr pAti
ip oon
n

tio

n
scription
ion
ipt

Publish

PubSub

This is not a social media megaphone
by mikael altemark on Flickr

SETI by Paulo Alegria on Flickr

scr
b
ub
Su
bsc
sc r
ub
riip
scr pAti
ip oon
n

tio

n
scription
ion
ipt

scr
b

der
r

O

info

Cust
omer
infor
matio
n

Vehic
l

e/Ves

sition y
el po
ilit
/Vess
hicle
e
sab
V
es
cc
ya
ilit
ac
F

Operational data, not secret
Secret data

PubSub

sel E

TA

This is not a social media megaphone
by mikael altemark on Flickr

SETI by Paulo Alegria on Flickr

Publish

tion
rma
ub
Su
bsc
sc r
ub
riip
scr pAti
ip oon
n

tio

n
scription
scr

ion
ipt

b

Publish
Publish

Publish

Publish

Operational data, not secret
Secret data

PubSub

This is not a social media megaphone
by mikael altemark on Flickr

SETI by Paulo Alegria on Flickr

Publish
ub
Su
bsc
sc r
ub
riip
scr pAti
ip oon
n

tio

n
scription
ion
ipt

scr

b

Publish
Publish

Publish

Publish
Publish

SETI by Paulo Alegria on Flickr

New data

Combine

Operational data, not secret
Secret data

PubSub

This is not a social media megaphone
by mikael altemark on Flickr

Subscribe
Dialogue between
vehicle and
infrastructure

Footprinting

Increase efficiency by
sharing data

This is not a social media megaphone
by mikael altemark on Flickr

SETI by Paulo Alegria on Flickr

Benefits in transportation
Dialogue between vehicle
and infrastructure
Access control
Journey
planning data

CC-­‐BY	
  Per	
  Olof	
  Arnäs

Probe data

Graphic Conversation by Marc Wathieu on Flickr
Footprinting

Energy use
Environmental

Economical
Infrastructure use
...and 100! by MarcelGermain on Flickr
Increase efficiency
by sharing data
Bottle-neck planning

Optimize infrastructure use

CC-­‐BY	
  Per	
  Olof	
  Arnäs

Matchmaking

Optimize vehicle use
Gartners Hype Cycle for Emerging Technologies

Augmenting
humans with
technology

Machines
better
understanding
humans and
the
environment

Machines
replacing
humans

Humans and
machines
working
alongside each
other

Humans better
understanding
machines

Machines and
humans
becoming
smarter

Source: Gartner August 2013
http://www.gartner.com/newsroom/id/2575515
Gartners Hype Cycle for Emerging Technologies

Source: Gartner August 2013
http://www.gartner.com/newsroom/id/2575515
Gartners Hype Cycle for Emerging Technologies
Transportation/
logistics?

?

Source: Gartner August 2013
http://www.gartner.com/newsroom/id/2575515
bi
s al
a
ds tion nk
oo c li
G ire er
d yp
h

co Da
sy llec ta
s t
(o tem ion
pe s
n)

Some trends that we are
very interested in
ed
as
rb
Pa
pe

D

M
Mu ash
up
lti
so ple d s

urc at
es a

na
vi
fo
r
PS
G

Dy
n
ro am
uti ic
sy
ste ng
ms

ga
tio

n

R

2.0
Perfor
Based mance
acces
s

ec
fr tro
ei n
gh ic
t d ally
oc g
um en
e
Pa
en ra
pe
ts ted
rb
as
ed

RF
ID tag
s

Sma

El

S

Pro

be d

s
gn
si
d
Ro
a

ata

1.5

l
ua
id
iv ting ion
d
In rou at
rm
fo
in

Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr

ing

n
too
Pla

nce
Performa
cess
Based ac

3D Printing

Route
optimisat
ion

g

l

es
rvic ata
se
Web raf fic d
t
with

ng
lli ms
To ste
sy

ni n

ce
Ex

pl Rou
an te
ni
ng

Ex
c
ha eptio
nd
lin ns
g

too
Pla

e
gu
lo ls
na oo
t

ail

STM ms
te
sys

In
pr teg
og ra
no ted
si
s

1.0

Big data

Fax

W
e
bo b ba
ok se
in d
g

n
ctio
olle
a c tems )
y
Dat
sys rietar
op
( pr

e

on rs
Ph ape
P

0.5

e

oic
inv

E-

ity

tiv
Ora by cskk on Flickr (CC-BY)

0

A

E-m

ion
icat
mun les
Com h vehic
wit

ec
nn
co
en
Op
eb
cial w

o
The s

Wearable tech

are
rdw d
Ha iente
or

Manual

UI

Computers

d
se

Sim
p
han le ord
dlin er
g

Digitization version

Business
processes

Pl
a
ba tfo
sy s r
st ed m
em
s

B

l
ue n
r f tio
ito p
on um
M sn
co

rt g
ood
s

Software

Vehicle

ba

Adv
anc
han ed ord
dlin
er
g

eb
W

es

d
co
ar

Di
s
de tribu
ma cisio ted
kin n
g

Goods

Lisa for I/O Keynote by Max Braun on Flickr (CC-BY)

O
int pen
erf
ac
e

Functions

Infra-	

structure

CC-BY Per Olof Arnäs, Chalmers
Wearable tech

Lisa for I/O Keynote by Max Braun on Flickr (CC-BY)

We are becoming cyborgs

More than just
entertainment

Physical interaction with
the digital eco system
3D Printing
Additive manufacturing
Batch of one
Flexible
Expensive

Ora by cskk on Flickr (CC-BY)
We produce vast
amounts of data

Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr
All the time.

Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr
So what can we
do with all this
data?

Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr
Waze is based on the fact that everybody running the app
automagically delivers data. No central ”traffic control”!
rced
dsou ap
row
C
nd m
ic- a
raf f
t
ata
d

Exa
mp
sha le of
ring dat
tha a
wo
rks t

Man
com y-to-m
mu
any
nic
atio
n

or
f
ee ers
Fr um
ns
co
Data layers that could be
applied in freight

city
apa

C

dar
ra

ETA
pro
jec
tion
s

Mat

chm

akin

ck
ne
tle s
ot tu
B ta
s

g
We are building The Matrix in the transport industry
t
a
iz

it
ig

D

n
io

Incre
asing
good
s volu
mes

Opportunities
New
techn
olog

y

al
tic
oli
P
st
re
te
in
Quad Aces by fitzsean on Flickr
Northern LEAD 

Logistics Research Centre
Founded by:
Chalmers University of Technology
University of Gothenburg
Logistics and Transport Society LTS
What we do
Northern LEAD coordinates and supports logistics
research at Chalmers and University of Gothenburg
in order to increase volume, quality and 

relevance of the research

stairs by Denis Jacquerye on Flickr
Tomorrow’s logistics. We are finding the answers.
Around 70 researchers

Five core research
groups

Collaboration between
Chalmers and University
of Gothenburg

Research centre for
sustainable logistics
solutions
Organises, facilitates,
disseminates highly
relevant logistics
research
Five core
research groups
Industrial marketing
& purchasing
Logistics &
Transport
Physical
Distribution
Professors
Visiting Professors
Associate Professors
Post docs
Faculty
PhD students
Total

10
6
5
6
14
32
73

Production
Logistics
Optimization
Challenges
and trends
Environmental
impact

Focused areas
Logistics and Production Networks

Outcomes for
policy and
business

Long Distance Transport
Resource
limitations
Urban Transport
Demographic
changes
Manufacturing
and retail
revolution
Complexity and
structural
flexibility

Volatility and risk

Purchasing of
transport

Information,
planning and
control

Service
development in
networks

Intermodality

Resource
utilisation

Measurements
and measuring

Thought leadership
through
high quality
research and
innovation
Project 1: TRINFO
Project 1: TRINFO
Project 1: TRINFO
Project proposal:
Smart access/guidance control
Project proposal:
Smart access/guidance control
Project proposal:
Smart access/guidance control
Project proposal:
Smart access/guidance control
Project proposal:
Smart access/guidance control
Project proposal:
Smart access/guidance control
haring
Data s

Exp
del andi
iver
ng
y fr
ont
ic
am uts
yn tc
D or
sh

Foliate
d
transp
ortatio
n
netwo
rk

nd by
Sta
ents
shipm
S

me
o

r
he
ot

Realtime
applications
nt V2I
Intellige
ication
ommun
c

Super Cat by Photo Extremist on Flickr

oon
lat g
P
kin
par
Not all ideas age with grace
Someone must do the work
Not everyone will want
to adopt new things…
…or change
habits
We are building The Matrix in the transport industry
We are building The Matrix in the transport industry
From order to invoice
Basic data

From/To/What/When
Owner: the customer

Resource allocation

What vehicle?

Owner: Traffic controller

Cargo information
Loaded amount
Owner: Supplier

Proof of Delivery

Time/date/signature
Owner: Driver

Pricing

Owner: Financial dept.

Enough information to create invoice

All of these steps cost money!
An increase in the number of
orders lead to increased cost
Total cost for
administration of
all orders

Goal: De-couple the
dependecy between
administative cost and
order volume

Handle exceptions –
not transactions!

Number of orders per year
2 hours
4 hours

2 hours

1989:A FULL TIME JOB!
CC-­‐BY	
  Per	
  Olof	
  Arnäs

Technology	
  Management	
  and	
  Economics	
  
Logis4kcs	
  and	
  Transporta4on
0 hours
1-2 hours

0 hours

2013: TWO HOURS. MAX.
CC-­‐BY	
  Per	
  Olof	
  Arnäs

Technology	
  Management	
  and	
  Economics	
  
Logis4kcs	
  and	
  Transporta4on
How	
  will	
  we	
  use	
  the	
  technology	
  in	
  10	
  years?
so

e
m

We have no idea.
!
!
Per Olof Arnäs
per-olof.arnas@chalmers.se
about.me/perolofarnas
@Dr_PO
Slides published on slideshare.net/poar

The girl and the iPad by Niclas Lindh on Flickr (CC-BY)
Exklusiv förhandsvisning av ny design som kommer inom kort!
Exclusive preview of the new design that will be released shortly!

Kolla gärna in min
crowdsourcade
logistikblogg
Logistikfokus.se
(Sveriges första och
troligtvis enda)
Be sure to check out my crowdsourced
logistics blog Logistikfokus.se
(Sweden’s first and probably the only
one)
Yes, It’s in Swedish but Google Translate
works wonders these days ;-)

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We are building The Matrix in the transport industry

  • 1. Digitization of the transport industry We are building The Matrix ! ! Per Olof Arnäs Chalmers @Dr_PO per-olof.arnas@chalmers.se about.me/perolofarnas
  • 2. The Transport industry 3 things: Per Olof Arnäs Carbon-free transport by Stéfan on Flickr
  • 3. …physical 3d boxes by crystaljingsr on Flickr
  • 4. …public CC-­‐BY  Per  Olof  Arnäs Technology  Management  and  Economics   Logis4kcs  and  Transporta4on Traffic Jam by Giorgio Minguzzi on Flickr
  • 5. …analogue 542 miles by Jason on Flickr CC-­‐BY  Per  Olof  Arnäs Technology  Management  and  Economics   Logis4kcs  and  Transporta4on
  • 6. CC-­‐BY  Per  Olof  Arnäs Technology  Management  and  Economics   Logis4kcs  and  Transporta4on
  • 7. 1989 CC-­‐BY  Per  Olof  Arnäs Technology  Management  and  Economics   Logis4kcs  and  Transporta4on
  • 8. 1989 Map on the wall with pushpins Delivery notes (3 carbon sheets) Radio Telephone Pens in various colours CC-­‐BY  Per  Olof  Arnäs Prices, phone numbers etc. Technology  Management  and  Economics   Logis4kcs  and  Transporta4on Calculator Cardfile of customers, tank sizes etc.
  • 9. 1989 Ca 100 customers in west Sweden 6 tanker trucks (7 partitions per vehicle) Products: Gasoline 95 Gasoline 96 Gasoline 98 Diesel Diesel, colored 8-10 Pricing (yesterday’s orders) 10-12 Call and receive tomorrow’s orders 13-17 Planning A FULL TIME JOB! CC-­‐BY  Per  Olof  Arnäs Technology  Management  and  Economics   Logis4kcs  and  Transporta4on
  • 10. The Internet first became available for Swedish consumers around 1993 + = A (bad and expensive) mix between Teletext and the Yellow Pages Not very pretty Few people with computers
  • 11. 15 years later, in 2008, Google Flu Trends was launched Based on what people google and where their computer is located www.google.org Ten days ahead of the official flu tracker
  • 12. How  will  we  use  the  technology  in  10  years? lm a st o We have no idea. ! The girl and the iPad by Niclas Lindh on Flickr (CC-BY)
  • 13. How  will  we  use  the  technology  in  10  years? lm a st o We have no idea. ! ...and neither does she, but she will be dissatisfied with stuff that we think are pure science fiction and almost magic. The girl and the iPad by Niclas Lindh on Flickr (CC-BY)
  • 16. Development of transportation technology has been fairly linear …for the last 5500 years Per Olof Arnäs Stage Coach Wheel by arbyreed on Flickr
  • 17. inning beg We are in the middle of a gigantic exponential development curve
  • 18. A new global eco system where new types of, knowledge based, industries compete with traditional ones
  • 19. Startups don’t compete with airlines... by purchasing a bunch of hiring a bunch of and locking up a bunch of planes pilots terminals at airports. Miniature Airport by disparkys on Flickr http://bryce.vc/post/18404303850/the-problem-with-innovation
  • 20. Startups don’t compete with airlines... by purchasing a bunch of hiring a bunch of and locking up a bunch of planes pilots terminals at airports. Startups compete with airlines by inventing videoconferencing. Miniature Airport by disparkys on Flickr (CC-BY,SA) http://bryce.vc/post/18404303850/the-problem-with-innovation
  • 22. CC-­‐BY  Per  Olof  Arnäs Technology  Management  and  Economics   Logis4kcs  and  Transporta4on
  • 26. In Search Of Lost Time by bogenfreund on Flickr The biggest problem in transportation is time. There is not enough of it. Ever.
  • 27. So… What are we doing about all this?
  • 28. Time horizons Strategic Tactical Operational Prognosis Realtime! We are approaching this boundary …and we are starting to move past it!
  • 30. Digitization fronts Goods Vehicle Order handling   Driver support   Vehicle economics Barcodes   RFID   Sensors ERP systems   TMS systems   E-invoices   Cloudbased services RDS-TMC   Road taxes   Active traffic support Business process Infrastructure
  • 31. ata s gn be d si d Ro a S Pro ed as rb Pa pe D R Route optimisat ion ing n too Pla 2.0 M Mu ash up lti so ple d s
 urc at es a na vi fo r PS G es rvic ata se Web raf fic d t with ng lli ms To ste sy Dy n ro am uti ic sy ste ng ms ga tio l Ex c ha eptio nd lin ns g 1.5 n RF ID tag s ec fr tro ei n gh ic t d ally oc g um en e Pa en ra pe ts ted rb as ed Di s de tribu ma cisio ted kin n g Sma El ce Ex W e bo b ba ok se in d g nce Performa cess Based ac ail pl Rou an te ni ng g e gu lo ls na oo t A E-m STM ms te sys Fax e oic inv E- ity tiv ec nn co en Op eb cial w ion icat mun les Com h vehic wit o The s In pr teg og ra no ted si s 1.0 ni n 0.5 too Pla e
 on rs Ph ape P 0 n ctio olle a c tems ) y Dat sys rietar op ( pr are rdw d Ha iente or Manual UI Computers d se Sim p han le ord dlin er g Digitization version Business processes Pl a ba tfo sy s r st ed m em s B Vehicle Perfor Based mance acces s Software l ue n r f tio ito p on um M sn co rt g ood s Adv anc han ed ord dlin er g ba es d co ar co Da sy llec ta s t (o tem ion pe s n) eb W bi s al a ds tion nk oo c li G ire er d yp h Goods O int pen erf ac e Functions l ua id iv ting ion d In rou at rm fo in Infra- structure CC-BY Per Olof Arnäs, Chalmers
  • 32. What happens when access to real-time data increases? Strategic Tactical Operational Prognosis Infrastructure Business processes Vehicles Goods not quite clear on the concept by woodleywonderworks on Flickr (CC-BY)
  • 34. Time to switch birds
  • 35. What would happen if a pallet had a Twitter account?
  • 37. Probably nothing. Well, that was not exactly true…
  • 41. When the shipment passes a reader, the message is sent automatically
  • 42. When the shipment passes a reader, the message is sent automatically The shipment reports often Whoever is interested can keep track
  • 43. Association is done in realtime and is reported instantly
  • 44. Association is done in realtime and is reported instantly The shipment is associated with Vehicle 18 and Shipment 2345 If you subscribe to one, you subscribe to all of them
  • 45. But… does this mean that all pallets will have onboard computers now?
  • 46. But… does this mean that all pallets will have onboard computers now? No, of course not.
  • 47. But… does this mean that all pallets will have onboard computers now? No, of course not. It is enough that it has a digitally readable identity, like a RFID tag
  • 48. But… does this mean that all pallets will have onboard computers now? No, of course not. It is enough that it has a digitally readable identity, like a RFID tag All logic is located in the reader
  • 50. ub Su bsc sc r ub riip scr pAti ip oon n tio n scription ion ipt Publish PubSub This is not a social media megaphone by mikael altemark on Flickr SETI by Paulo Alegria on Flickr scr b
  • 51. ub Su bsc sc r ub riip scr pAti ip oon n tio n scription ion ipt scr b der r O info Cust omer infor matio n Vehic l e/Ves sition y el po ilit /Vess hicle e sab V es cc ya ilit ac F Operational data, not secret Secret data PubSub sel E TA This is not a social media megaphone by mikael altemark on Flickr SETI by Paulo Alegria on Flickr Publish tion rma
  • 52. ub Su bsc sc r ub riip scr pAti ip oon n tio n scription scr ion ipt b Publish Publish Publish Publish Operational data, not secret Secret data PubSub This is not a social media megaphone by mikael altemark on Flickr SETI by Paulo Alegria on Flickr Publish
  • 53. ub Su bsc sc r ub riip scr pAti ip oon n tio n scription ion ipt scr b Publish Publish Publish Publish Publish SETI by Paulo Alegria on Flickr New data Combine Operational data, not secret Secret data PubSub This is not a social media megaphone by mikael altemark on Flickr Subscribe
  • 54. Dialogue between vehicle and infrastructure Footprinting Increase efficiency by sharing data This is not a social media megaphone by mikael altemark on Flickr SETI by Paulo Alegria on Flickr Benefits in transportation
  • 55. Dialogue between vehicle and infrastructure Access control Journey planning data CC-­‐BY  Per  Olof  Arnäs Probe data Graphic Conversation by Marc Wathieu on Flickr
  • 57. Increase efficiency by sharing data Bottle-neck planning Optimize infrastructure use CC-­‐BY  Per  Olof  Arnäs Matchmaking Optimize vehicle use
  • 58. Gartners Hype Cycle for Emerging Technologies Augmenting humans with technology Machines better understanding humans and the environment Machines replacing humans Humans and machines working alongside each other Humans better understanding machines Machines and humans becoming smarter Source: Gartner August 2013 http://www.gartner.com/newsroom/id/2575515
  • 59. Gartners Hype Cycle for Emerging Technologies Source: Gartner August 2013 http://www.gartner.com/newsroom/id/2575515
  • 60. Gartners Hype Cycle for Emerging Technologies Transportation/ logistics? ? Source: Gartner August 2013 http://www.gartner.com/newsroom/id/2575515
  • 61. bi s al a ds tion nk oo c li G ire er d yp h co Da sy llec ta s t (o tem ion pe s n) Some trends that we are very interested in ed as rb Pa pe D M Mu ash up lti so ple d s
 urc at es a na vi fo r PS G Dy n ro am uti ic sy ste ng ms ga tio n R 2.0 Perfor Based mance acces s ec fr tro ei n gh ic t d ally oc g um en e Pa en ra pe ts ted rb as ed RF ID tag s Sma El S Pro be d s gn si d Ro a ata 1.5 l ua id iv ting ion d In rou at rm fo in Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr ing n too Pla nce Performa cess Based ac 3D Printing Route optimisat ion g l es rvic ata se Web raf fic d t with ng lli ms To ste sy ni n ce Ex pl Rou an te ni ng Ex c ha eptio nd lin ns g too Pla e gu lo ls na oo t ail STM ms te sys In pr teg og ra no ted si s 1.0 Big data Fax W e bo b ba ok se in d g n ctio olle a c tems ) y Dat sys rietar op ( pr e
 on rs Ph ape P 0.5 e oic inv E- ity tiv Ora by cskk on Flickr (CC-BY) 0 A E-m ion icat mun les Com h vehic wit ec nn co en Op eb cial w o The s Wearable tech are rdw d Ha iente or Manual UI Computers d se Sim p han le ord dlin er g Digitization version Business processes Pl a ba tfo sy s r st ed m em s B l ue n r f tio ito p on um M sn co rt g ood s Software Vehicle ba Adv anc han ed ord dlin er g eb W es d co ar Di s de tribu ma cisio ted kin n g Goods Lisa for I/O Keynote by Max Braun on Flickr (CC-BY) O int pen erf ac e Functions Infra- structure CC-BY Per Olof Arnäs, Chalmers
  • 62. Wearable tech Lisa for I/O Keynote by Max Braun on Flickr (CC-BY) We are becoming cyborgs More than just entertainment Physical interaction with the digital eco system
  • 63. 3D Printing Additive manufacturing Batch of one Flexible Expensive Ora by cskk on Flickr (CC-BY)
  • 64. We produce vast amounts of data Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr
  • 65. All the time. Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr
  • 66. So what can we do with all this data? Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr
  • 67. Waze is based on the fact that everybody running the app automagically delivers data. No central ”traffic control”!
  • 68. rced dsou ap row C nd m ic- a raf f t ata d Exa mp sha le of ring dat tha a wo rks t Man com y-to-m mu any nic atio n or f ee ers Fr um ns co
  • 69. Data layers that could be applied in freight city apa C dar ra ETA pro jec tion s Mat chm akin ck ne tle s ot tu B ta s g
  • 72. Northern LEAD 
 Logistics Research Centre Founded by: Chalmers University of Technology University of Gothenburg Logistics and Transport Society LTS
  • 73. What we do Northern LEAD coordinates and supports logistics research at Chalmers and University of Gothenburg in order to increase volume, quality and 
 relevance of the research stairs by Denis Jacquerye on Flickr
  • 74. Tomorrow’s logistics. We are finding the answers. Around 70 researchers Five core research groups Collaboration between Chalmers and University of Gothenburg Research centre for sustainable logistics solutions Organises, facilitates, disseminates highly relevant logistics research
  • 75. Five core research groups Industrial marketing & purchasing Logistics & Transport Physical Distribution Professors Visiting Professors Associate Professors Post docs Faculty PhD students Total 10 6 5 6 14 32 73 Production Logistics Optimization
  • 76. Challenges and trends Environmental impact Focused areas Logistics and Production Networks Outcomes for policy and business Long Distance Transport Resource limitations Urban Transport Demographic changes Manufacturing and retail revolution Complexity and structural flexibility Volatility and risk Purchasing of transport Information, planning and control Service development in networks Intermodality Resource utilisation Measurements and measuring Thought leadership through high quality research and innovation
  • 86. haring Data s Exp del andi iver ng y fr ont ic am uts yn tc D or sh Foliate d transp ortatio n netwo rk nd by Sta ents shipm S me o r he ot Realtime applications nt V2I Intellige ication ommun c Super Cat by Photo Extremist on Flickr oon lat g P kin par
  • 87. Not all ideas age with grace
  • 88. Someone must do the work
  • 89. Not everyone will want to adopt new things…
  • 93. From order to invoice Basic data From/To/What/When Owner: the customer Resource allocation What vehicle?
 Owner: Traffic controller Cargo information Loaded amount Owner: Supplier Proof of Delivery Time/date/signature Owner: Driver Pricing Owner: Financial dept. Enough information to create invoice All of these steps cost money!
  • 94. An increase in the number of orders lead to increased cost Total cost for administration of all orders Goal: De-couple the dependecy between administative cost and order volume Handle exceptions – not transactions! Number of orders per year
  • 95. 2 hours 4 hours 2 hours 1989:A FULL TIME JOB! CC-­‐BY  Per  Olof  Arnäs Technology  Management  and  Economics   Logis4kcs  and  Transporta4on
  • 96. 0 hours 1-2 hours 0 hours 2013: TWO HOURS. MAX. CC-­‐BY  Per  Olof  Arnäs Technology  Management  and  Economics   Logis4kcs  and  Transporta4on
  • 97. How  will  we  use  the  technology  in  10  years? so e m We have no idea. ! ! Per Olof Arnäs per-olof.arnas@chalmers.se about.me/perolofarnas @Dr_PO Slides published on slideshare.net/poar The girl and the iPad by Niclas Lindh on Flickr (CC-BY)
  • 98. Exklusiv förhandsvisning av ny design som kommer inom kort! Exclusive preview of the new design that will be released shortly! Kolla gärna in min crowdsourcade logistikblogg Logistikfokus.se (Sveriges första och troligtvis enda) Be sure to check out my crowdsourced logistics blog Logistikfokus.se (Sweden’s first and probably the only one) Yes, It’s in Swedish but Google Translate works wonders these days ;-)