GO MOBILE I N T E R N A T I O N A L C O L L A B O R A T I V E R O - - PowerPoint PPT Presentation

COLLABORATIVE ROBOTS GO MOBILE

I N T E R N A T I O N A L C O L L A B O R A T I V E R O B O T I C S W O R K S H O P 2 0 1 6 4 M A Y 2 0 1 6 - B O S T O N , M A

AVERAGE AGE ON THE FORTUNE 500 LIST

1950 2015

Source: Richard Foster, The Creative Edge, Deloitte

60

YEARS

12

YEARS

I S N E C E S S A R Y & I N E V I TA B L E

C H A N G E

OV E R T H E N E X T D E CA D E 


3 . 5 M I L L I O N 


U S M A N U FA C T U R I N G J O B S 


W I L L B E N E E D E D 


W I T H A P P R OX I M AT E LY 


2 M I L L I O N 


L I K E LY TO G O U N F I L L E D

Source: The Skills Gap in US Manufacturing, Deloitte + Manufacturing Institute

T H E M A N U FAC T U R I N G S E C TO R I N T H E U. S . H A S N OT G R O W N A S FA ST A S T H E R E ST O F T H E E CO N O M Y A N D, A S A R E S U LT, I T S S H A R E O F TOTA L O U T P U T H A S

FA L L E N F R O M 2 4 % I N 1 9 7 0 TO 1 2 % TO DAY

Source: The Skills Gap in US Manufacturing, Deloitte + Manufacturing Institute

“You never change things by fighting the existing

• reality. To change something, build a new model that

makes the existing model obsolete.”

B U C K M I N ST E R F U L L E R

A R C H I T E C T, I N V E N TO R , D E S I G N E R , A U T H O R M E N S A P R E S I D E N T

25% 75% 75% 25%

45%

55% 13% 87%

P R O D U C T I O N CO ST FAC TO R Y S PAC E P R O D U C T I O N T I M E E M P LOY E E T I M E

M AT E R I A L H A N D L I N G ACCO U N T S F O R :

Source: Concordia University

THE EXISTING MODEL

I S H A P P E N I N G A S W E S P E A K

C H A N G E

INDUSTRY 4.0

SMART FACTORY INTERNET OF THINGS (IOT) CYBER PHYSICAL SYSTEMS INTEROPERABILITY VERTICAL NETWORKS BIG DATA

ABOUT 25 BILLION OBJECTS WILL BE INTERCONNECTED BY 2020. TODAY, THERE ARE 3.8 BILLION SUCH OBJECTS

G A RT N E R

“Humans can typically create one or two good models a week; Machine learning can create thousands of models a week.”

T H O M A S H . DAV E N P O RT, A N A LY T I C S T H O U G H T L E A D E R

E X C E R P T F R O M T H E W A L L S T R E E T J O U R N A L

W H AT D O E S T H I S M E A N F O R M A N U FAC T U R I N G ?

S M A RT E R FAC TO R I E S

R E A L LY ?

=

MATERIAL TRANSPORT

RIGID LINEAR

+ =

MATERIAL TRANSPORT

RIGID FLEXIBLE LINEAR NON-LINEAR

MOBILE ROBOT != COLLABORATIVE

MANIPULATE TRANSPORT

COLLABORATIVE ROBOTS REMOVE THE FENCE SELF-DRIVING VEHICLES REMOVE THE TRACK

SELF-DRIVING VEHICLE = COLLABORATIVE

20x

BUILDS MAPS WITH ONBOARD LASERS NO NAVIGATION INFRASTRUCTURE REQUIRED

ERP

F L E E T M G M T A P I W E B A P P O P S D A S H B O A R D O T T O F L E E T

“ “

I N D U ST R Y 4 . 0

W H AT D O E S T H I S M E A N F O R M A N U FAC T U R I N G ?

P R O C E S S A N D D E V I C E W I L L B E I N S E PA R A B L E

WA N T E D :

C H A M P I O N S 
 A N D T H O U G H T L E A D E R S

J O I N T H E S E L F - D R I V I N G R E V O L U T I O N

W W W. OT TO M OTO R S . CO M

QUESTIONS?

J O I N T H E S E L F - D R I V I N G R E V O L U T I O N

W W W. OT TO M OTO R S . CO M