How will robotics & automation change food processing?
For the launch of the APRIL robotic chef, OAL and the University of Lincoln hosted a number of fantastic speakers to discuss "How will robotics & automation change food processing?". Speakers included:
Jake Norman, Marketing Manager, OAL
Andrea Paoli - Robotics Professor, University of Lincoln
Ian Beauchamp - Process Manager, OAL
Mark Swainson - Principal Lecturer, OAL
Harry Norman - Owner/Managing Director, OAL
3. Impact on manufacturing?
Productivity vs Uncertainty
• Ever-increasing diversity of products
requiring greater flexibility.
• Lower relative volumes of each
product line, more SKUs.
• Fierce competition.
• Increased compliance requirements,
traceability, audits etc.
• Impact of living wage.
5. "Whilst we are very innovative ... where can I
see it operating"
"We would need to initially run the process in
parallel to ensure continuity of supply"
"Brilliant however we have got too much going
on to look at it seriously“
“Finding suitable space within the current
factory layouts will be challenge, can we stick
it on the 3rd floor?”
“Our products are handmade”
Blue Ocean Thinking
7. Conclusions
What is a robot?
What is industrial robotics?
Robotic Arms
Mobile Robots
Industry 4.0
8. What is a Robot? 1/2
1921: Writer Karel Capek introduced the word
‘robot’ from the Czech word ‘ROBOTA’, meaning
‘drudgery’
A robot is a goal oriented
machine that can sense,
act and plan
10. Industrial Robotics
Re-programmable multi-functional manipulator designed to
move materials, parts, tools, or specialized devices through
variable programmed motions for the performance of a
variety of tasks, which also acquire information from the
environment and move intelligently in response (Robotic
Institute of America)
Industrial
Automation
Robotics
18. [Courtesy WillowGarage]
Do we trust robots?
Basic Safety-Related
Functions
Supervision
Functions
Intrinsically Safe
Robots
Next Generation
Predictive Robots
We are here!!
Smartness
19. Next Generation Safety
Laser Scanner
Controlled 3D cams
Wearable sensors
Smart glasses
Raw data
Eye tracking
Body segmentation
Parts recognition
Intentions detection Human prediction
Robot movements
adaptation
20. Conclusions
Industry 4.0 revolution
Human and Robots work together
High productivity and availability
We need to work together
More investment
Push robotics in less-explored sectors
Robotics of the future
Internet of Things
Advanced Safety
Natural Human/Robot interaction
23. How will robotics change traditional food
manufacturing?
Ian Beauchamp, OAL
Mark Swainson, University of Lincoln
24. • Traditional process / technology base
• Labour intensive
• Established thinking
• Competitive market
How can robotics assist in overcoming these issues?
Potential Impact of Robotics/Automation
Typical food industry issues
25. • Product hold-up
• Burn-on
• Spoilage
• Spillages
Margin erosion and increasing disposal costs
Yield Improvement
Typical areas of loss / cost within food processing
26. • Manual systems / overrides
• Uncontrolled variation / procedure
• Ingredient / product handling damage
• Preference / interpretation
The ‘human’ factor!
Quality Improvement
Typical areas resulting in poor product quality
27. • Small batch size
• Ease of reconfiguration
• Simplification of hygiene requirements
• Reduction in cycle times
Optimised / tailored approach
Requirement for Increased Flexibility
Typical areas to improve flexibility
28. • Traditional processes / technologies
• Labour intensive operations
• Reliance on low skilled contract labour
• Staged increase in the minimum wage
Prepared for the future!
Requirement for Reduced Labour Costs
Typically within food processing
31. • Consumers want more choice
• Food deflation
• Manufacturers suffering from rising costs
• No major advances in productivity
• Living Wage
• Environmental responsibility
In summary:
32. Ingredients for change:
• Technology costs – Moore’s Law, Economies of Scale
• Technology advances – vision, Artificial intelligence
• Connected world – Internet of Things
33. • $775 million acquisition late
2012 – Kiva.
• Expected to install 10,000
robots at Amazon warehouses
by 2015
• Actual end of 2015 – 30,000
robots!
Other industries continue to invest:
Amazon
34. Create a Global Centre of Excellence for Robotic Food
Manufacturing at the University of Lincoln.
1. Educate the industry.
2. Partner with visionary early adopters.
3. Deliver a disruptive change in manufacturing.
Recipe for food processing automation!
35. • Flexible manufacturing
• Yield enhancement
• Improved product quality / consistency
• Smaller factory footprint
• Leaner labour force
Genuine competitive advantage
The Icing on the Cake
Automated Processing Robotic Ingredient Loading