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Supply Chain 4.0
An introduction to the key implications of digital technologies in Supply Chain
Management
Danar Mustafa
Driving digital transformation in Operations and Supply Chain Management
Short recap and summary of Industry 4.0
Full presentation, click here
Or Go to Digital Supply Chain Management Here
Key Definitions
Digit: From the latin word for “finger”, referred to counting on fingers
Digital: Information & Communication Technologies, represent information
digitally, i.e. 0 and 1, rather than analogue
Digitization: The process that converts analogously represented information into
digitally represented
Digital Transformation: The processes that change current organizations & their
operations from predominately not utilizing digital technologies into doing so
Digital Business: Situations when a business utilizes digital technology so as to
activate economic value creation and appropriation
Industry 4.0: Is referring to trend towards automation and data exchange in
manufacturing processes. Also known as Industrial Internet or SMART
manufacturing.
Industrial Revolutions
• The first industrial revolution (-1765)
– Agriculture processes are replaced with industrial
mechanization
– Invention of steam engine
• The second industrial revolution (-1870)
– New sources of energy: electricity and oil
– Combustion engine
– Telegraph
– New organization and productions models by Taylor
and Ford
• The Third Industrial revolution (-1969)
– Rise of electronics  transistor and microprocessor
– High-level automation  PLC and robots
• The Fourth Industrial revolution
– Internet and virtual world (cyber physical systems)
– Cloud
– Big Data Analytics
– Internet of Things
Industry 4 across the globe
Germany
• Industrie 4.0
Sweden
• Smart Industry
United States
• Smart Manufacturing Leadership
Japan
• Industrial Value Chain Initiative
China
• Made in China 2025
https://ec.europa.eu/digital-single-market/en/coordination-european-
national-regional-initiatives
Driving Technologies
• Internet of Things
– Sensors connecting devices
• Mobile Solutions
– Tablets, wearable sensors, smart
glasses
• Cloud Computing
• Cyber-physical system
– Monitor and control physical assets
• Big data analytics
– Turning data into insights
• Manufacturing technologies
– Robotics and 3D printing
• Distributed ledgers
– Blockchain
https://www.gartner.com/smarterwithgartner/5-trends-emerge-in-gartner-hype-cycle-
for-emerging-technologies-2018/
Cost of sensors, bandwidth and processing power
• Moore’s Law
– The number of transistors that fit
on a chip grows exponentially.
Processor Power doubles every 18
months
– Processing costs have declined
almost 60 times in the last 10 years
– Sensor prices have dropped to an
average of 60 cents
• Butters Law
– Communication speed doubles
every 9 months
– Bandwidth cost has decreased by a
factor of nearly 40 times
• Kryder’s Law
– Storage capacity doubles every 13
months
Physical  Digital  Physical
• Monitor, control, optimize
and automate
– Data is the new oil , from
analog to digital
– New products and service
offering
• Sensors, wearable's, Mixed
reality
– Move from physical to the
digital world
• Autonomous robotics and
simulations
– Interact with the digital world
– Digital Twins
Predicted Benefits of Digitalization and Industry 4.0
• Weforum estimates $100 trillion of
value that digitalization could be
generated over the next decade
• Unlock value through Digital
Transformation
– Digital transformation could unlock $1.3
trillion of value for the electricity sector
– if it embraces digitalization
• BCG Quantitative Analysis of
Manufacturing in Germany
– Productivity: Vary by industry.
Automotive companies can expect 10-
20 percent increase
– Revenue: Additional growth of about 30
billion USD / year
– Employment: 6 percent increase during
the next ten years
• Studies point that the fourth
industrial revolution can create up to
3.7 trillion in value by 2025
Reduced C02 Emissions
Lives Saved by increased security
Cost Savings
Time Savings
Net Job Creation
Accidents and Injury avoidance
Three Effects to Consider
• Mass Customization
– Individual requirements
– Flexible production
– New pricing models
• Automation
– Smart and connected
robots in production
– Process Automation
– Intelligent Applications
• Big Data
– Improved decision-making
– Faster problem-solving
– New types of innovation
Digital Supply Chain Management
What is Supply Chain Management?
• "Supply Chain is the network of organizations
that are involved, through upstream and
downstream linkages, in the different
processes and activities that produce value in
the form of products and services in the
hands of the ultimate consumer" - Martin
Christopher (2013)
– Physical flow: movement, and storage of
materials and goods
– Information Flow: Coordinate and control
day-to-day flow and long-term plans
• Logistics Management is referring to day-to-
day activities of managing, acquiring, storing
and transporting resources
• Supply Chain Management acknowledges all
activities such as marketing, new product
development, finance and customer services
supplychaininformation.blogspot.com
Why focus on improving Supply Chain Management?
• Income Statement
– Response time to customer
request
– Product Quality
– Time to market for new products
– Transportation Cost
– Selling Cost
– Inventory Cost
– Forecast accuracy
• Working Capital
– Holding Cost
– Correct invoicing
– Payment on time
• Conclusion:
– Supply Chain decisions impact
financial performance
Supply Chain Inefficiencies
• Studies shows:
– Today, up to 30% of the vessel’s
voyage time can be spent in
port
– In UK about 3 hours per
shipment is wasted on
requesting and funneling data
from suppliers and partners
– More than 100 million of
hours/year are wasted in
procurement and freight
administration
– Trading with non-customs
union partner incur 17% more
wasted time in administration
– Supply chain inefficiencies
(ordering, inventory, patient
flow etc.) leave $23B in
potential savings on the table
for hospitals
• … At the same time, pressure
to make supply chains more
– Faster
– More flexible
– More customized
– More accurate
– More efficient
• And at the same time
– Sharing Economy
– E-Commerce
– Technology Development
– Trade Wars
– Demographic Changes
– Environmental Drivers
Supply Chain Digitalization
BlockChain
• Smart Contracts
Autonomous
Transportation
• Self-driving
autonomous trucks
Data Analytics
• Fleet and
performance analysis
Internet of Things
• Remote Asset
diagnostics
Drone Technology
• Inventory and
capacity
management
Robotics Systems
• Material handling
Augmented
Reality
• Cargo inspection
Cloud Digital
Platform
• Dynamic asset
pricing
3D Printing
• Hub for part
manufacturing
Data and Analytics as the core
• Operations Efficiency
– Create optimal inventory level and reduce
buffer inventory
• With Internet of Things solutions data can flow
in real-time from suppliers, partners and
customers
– Optimize Transportation Planning
• Machine Learning Techniques to predict
patterns from historical data on weather and
traffic planning
– Improving end-to-end visibility of material
flow planning
• Data from RFID, GPS, Sensors
– Control Tower
• All types of data can be translated into
optimizing decision making based on real-time
data
• Customer Experience
– Optimize last mile deliveries
– Fleet management
– Customization
• New types of Business Model and strategies
– Real-time data intelligence
– Platforms and new types of network
Case Study:
Alibaba Transportation Planning
• Vehicle-cargo matching
• Route planning
• Delivery optimization
• Key topics:
– Internal and external
data can be used on
effective ways
– Algorithms deliver new
type of insights
How to Leverage Big Data
to Deliver Smart Logistics
video
Blockchain
• Enablers:
– Data interoperability
– Secure transactions
– Reduce process times
• Smart Contracts
• Automated pricing and
payments
• Tracking and traceability
• Case study
– IBM and Maersk video
Case Study:
IBM and Maersk Blockchain
• Exchange events data and
handle document
workflows
• Enabling end users to
securely submit, stamp
and approve documents
• Key points:
– New types of products and
services
– Potential savings from
more efficient process
• IBM and Maersk video
Internet of Things
• IoT
– Track and trace assets
– Inventory Management
– Fleet management
• Coordinate and plan
– Delivery
• Alerts and navigation
• Autonomous operations
• Case Study Video
– Traxens Smart Container
– Siemens RFID
Augmented & Mixed Reality
• Optimize Logistics
Operations
– Object recognition
– Picking
– Sorting
– Goods inspections
• Case Study Video
– DHL Vision Picking
3D Printing
• Decentralize production
– Customize production
– Reduce transportation
cost
– On-demand
– Need for warehouse?
• Case Study Video
– BMW
Robotics
• Warehouse efficiency
– Collaborative robots
– Scalable
– Flexible
• Case Study Video
– OCADO
– Kiva Warehousing
The Idea of Control Tower
• One integrated system solution
• Transparency of material and
information flow
• Improve visibility
• Better planning and
monitoring
• How to start?
– Collect data
– Basic reporting and analytics
– Proactive monitoring
• Read: What is a Control Tower
Other initiatives
• Drones and Automation
– Air Drone Delivery
– Electrical Cargo Bike
– Drone Inventory
– Robot Process Automation
– Self-driving trucks
• Benefits
– Flexible
– Accuracy
– Speed
– New type of services
Security, privacy and integrity
• Everything will be
connected
– Who owns the data?
– What happens with our data?
– Are the devices protected and
secure?
• AI systems and Algorithms
– Fairness
– Accountability
– The Black Box
• Complex Data Ecosystems
– Data are brokered on global
markets
Case study – Business Models
• Klöckner & Co, GE, Baxter,
Electrolux, Valmet, Google
Nest, Tesla,
– From transactional selling
parts/repair to optimized assets
– Co-creation
– Ecosystem  connect partners and
integrate system of systems
– New Pricing models  Pay as you
need
– New types of aftermarket services
– AI for automated decisions and
analysis
– Real-time operational data platforms
– Personalization offer and services 
Customer centric
– Smart, connected and integrated
products and services
Emerging Supply Chain Strategies
• Last Mile Delivery
Models (e-commerce)
– Crowd sourced
– Parcel terminals
– Electrical tricycles
– Drone deliveries
– Digital lockers
• New types of
warehouse solutions
– Smart and Mobile
Next step
• How to start your Digital Supply Chain
Transformation?
– Vision statement
– Strategy roadmap
– Manage pilot projects
– Measure maturity in processes
– Business Model Discovery
digitalstrategy-ai.com
Contact
• info@danarmustafa.se
• LinkedIn:
https://www.linkedin.com/in/danarmustafa
• danarmustafa.com
• digitalstrategy-ai.com

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Digital supply chain management

  • 1. Supply Chain 4.0 An introduction to the key implications of digital technologies in Supply Chain Management Danar Mustafa Driving digital transformation in Operations and Supply Chain Management
  • 2. Short recap and summary of Industry 4.0 Full presentation, click here Or Go to Digital Supply Chain Management Here
  • 3. Key Definitions Digit: From the latin word for “finger”, referred to counting on fingers Digital: Information & Communication Technologies, represent information digitally, i.e. 0 and 1, rather than analogue Digitization: The process that converts analogously represented information into digitally represented Digital Transformation: The processes that change current organizations & their operations from predominately not utilizing digital technologies into doing so Digital Business: Situations when a business utilizes digital technology so as to activate economic value creation and appropriation Industry 4.0: Is referring to trend towards automation and data exchange in manufacturing processes. Also known as Industrial Internet or SMART manufacturing.
  • 4. Industrial Revolutions • The first industrial revolution (-1765) – Agriculture processes are replaced with industrial mechanization – Invention of steam engine • The second industrial revolution (-1870) – New sources of energy: electricity and oil – Combustion engine – Telegraph – New organization and productions models by Taylor and Ford • The Third Industrial revolution (-1969) – Rise of electronics  transistor and microprocessor – High-level automation  PLC and robots • The Fourth Industrial revolution – Internet and virtual world (cyber physical systems) – Cloud – Big Data Analytics – Internet of Things
  • 5. Industry 4 across the globe Germany • Industrie 4.0 Sweden • Smart Industry United States • Smart Manufacturing Leadership Japan • Industrial Value Chain Initiative China • Made in China 2025 https://ec.europa.eu/digital-single-market/en/coordination-european- national-regional-initiatives
  • 6. Driving Technologies • Internet of Things – Sensors connecting devices • Mobile Solutions – Tablets, wearable sensors, smart glasses • Cloud Computing • Cyber-physical system – Monitor and control physical assets • Big data analytics – Turning data into insights • Manufacturing technologies – Robotics and 3D printing • Distributed ledgers – Blockchain https://www.gartner.com/smarterwithgartner/5-trends-emerge-in-gartner-hype-cycle- for-emerging-technologies-2018/
  • 7. Cost of sensors, bandwidth and processing power • Moore’s Law – The number of transistors that fit on a chip grows exponentially. Processor Power doubles every 18 months – Processing costs have declined almost 60 times in the last 10 years – Sensor prices have dropped to an average of 60 cents • Butters Law – Communication speed doubles every 9 months – Bandwidth cost has decreased by a factor of nearly 40 times • Kryder’s Law – Storage capacity doubles every 13 months
  • 8. Physical  Digital  Physical • Monitor, control, optimize and automate – Data is the new oil , from analog to digital – New products and service offering • Sensors, wearable's, Mixed reality – Move from physical to the digital world • Autonomous robotics and simulations – Interact with the digital world – Digital Twins
  • 9. Predicted Benefits of Digitalization and Industry 4.0 • Weforum estimates $100 trillion of value that digitalization could be generated over the next decade • Unlock value through Digital Transformation – Digital transformation could unlock $1.3 trillion of value for the electricity sector – if it embraces digitalization • BCG Quantitative Analysis of Manufacturing in Germany – Productivity: Vary by industry. Automotive companies can expect 10- 20 percent increase – Revenue: Additional growth of about 30 billion USD / year – Employment: 6 percent increase during the next ten years • Studies point that the fourth industrial revolution can create up to 3.7 trillion in value by 2025 Reduced C02 Emissions Lives Saved by increased security Cost Savings Time Savings Net Job Creation Accidents and Injury avoidance
  • 10. Three Effects to Consider • Mass Customization – Individual requirements – Flexible production – New pricing models • Automation – Smart and connected robots in production – Process Automation – Intelligent Applications • Big Data – Improved decision-making – Faster problem-solving – New types of innovation
  • 11. Digital Supply Chain Management
  • 12. What is Supply Chain Management? • "Supply Chain is the network of organizations that are involved, through upstream and downstream linkages, in the different processes and activities that produce value in the form of products and services in the hands of the ultimate consumer" - Martin Christopher (2013) – Physical flow: movement, and storage of materials and goods – Information Flow: Coordinate and control day-to-day flow and long-term plans • Logistics Management is referring to day-to- day activities of managing, acquiring, storing and transporting resources • Supply Chain Management acknowledges all activities such as marketing, new product development, finance and customer services supplychaininformation.blogspot.com
  • 13. Why focus on improving Supply Chain Management? • Income Statement – Response time to customer request – Product Quality – Time to market for new products – Transportation Cost – Selling Cost – Inventory Cost – Forecast accuracy • Working Capital – Holding Cost – Correct invoicing – Payment on time • Conclusion: – Supply Chain decisions impact financial performance
  • 14. Supply Chain Inefficiencies • Studies shows: – Today, up to 30% of the vessel’s voyage time can be spent in port – In UK about 3 hours per shipment is wasted on requesting and funneling data from suppliers and partners – More than 100 million of hours/year are wasted in procurement and freight administration – Trading with non-customs union partner incur 17% more wasted time in administration – Supply chain inefficiencies (ordering, inventory, patient flow etc.) leave $23B in potential savings on the table for hospitals • … At the same time, pressure to make supply chains more – Faster – More flexible – More customized – More accurate – More efficient • And at the same time – Sharing Economy – E-Commerce – Technology Development – Trade Wars – Demographic Changes – Environmental Drivers
  • 15. Supply Chain Digitalization BlockChain • Smart Contracts Autonomous Transportation • Self-driving autonomous trucks Data Analytics • Fleet and performance analysis Internet of Things • Remote Asset diagnostics Drone Technology • Inventory and capacity management Robotics Systems • Material handling Augmented Reality • Cargo inspection Cloud Digital Platform • Dynamic asset pricing 3D Printing • Hub for part manufacturing
  • 16. Data and Analytics as the core • Operations Efficiency – Create optimal inventory level and reduce buffer inventory • With Internet of Things solutions data can flow in real-time from suppliers, partners and customers – Optimize Transportation Planning • Machine Learning Techniques to predict patterns from historical data on weather and traffic planning – Improving end-to-end visibility of material flow planning • Data from RFID, GPS, Sensors – Control Tower • All types of data can be translated into optimizing decision making based on real-time data • Customer Experience – Optimize last mile deliveries – Fleet management – Customization • New types of Business Model and strategies – Real-time data intelligence – Platforms and new types of network
  • 17. Case Study: Alibaba Transportation Planning • Vehicle-cargo matching • Route planning • Delivery optimization • Key topics: – Internal and external data can be used on effective ways – Algorithms deliver new type of insights How to Leverage Big Data to Deliver Smart Logistics video
  • 18. Blockchain • Enablers: – Data interoperability – Secure transactions – Reduce process times • Smart Contracts • Automated pricing and payments • Tracking and traceability • Case study – IBM and Maersk video
  • 19. Case Study: IBM and Maersk Blockchain • Exchange events data and handle document workflows • Enabling end users to securely submit, stamp and approve documents • Key points: – New types of products and services – Potential savings from more efficient process • IBM and Maersk video
  • 20. Internet of Things • IoT – Track and trace assets – Inventory Management – Fleet management • Coordinate and plan – Delivery • Alerts and navigation • Autonomous operations • Case Study Video – Traxens Smart Container – Siemens RFID
  • 21. Augmented & Mixed Reality • Optimize Logistics Operations – Object recognition – Picking – Sorting – Goods inspections • Case Study Video – DHL Vision Picking
  • 22. 3D Printing • Decentralize production – Customize production – Reduce transportation cost – On-demand – Need for warehouse? • Case Study Video – BMW
  • 23. Robotics • Warehouse efficiency – Collaborative robots – Scalable – Flexible • Case Study Video – OCADO – Kiva Warehousing
  • 24. The Idea of Control Tower • One integrated system solution • Transparency of material and information flow • Improve visibility • Better planning and monitoring • How to start? – Collect data – Basic reporting and analytics – Proactive monitoring • Read: What is a Control Tower
  • 25. Other initiatives • Drones and Automation – Air Drone Delivery – Electrical Cargo Bike – Drone Inventory – Robot Process Automation – Self-driving trucks • Benefits – Flexible – Accuracy – Speed – New type of services
  • 26. Security, privacy and integrity • Everything will be connected – Who owns the data? – What happens with our data? – Are the devices protected and secure? • AI systems and Algorithms – Fairness – Accountability – The Black Box • Complex Data Ecosystems – Data are brokered on global markets
  • 27. Case study – Business Models • Klöckner & Co, GE, Baxter, Electrolux, Valmet, Google Nest, Tesla, – From transactional selling parts/repair to optimized assets – Co-creation – Ecosystem  connect partners and integrate system of systems – New Pricing models  Pay as you need – New types of aftermarket services – AI for automated decisions and analysis – Real-time operational data platforms – Personalization offer and services  Customer centric – Smart, connected and integrated products and services
  • 28. Emerging Supply Chain Strategies • Last Mile Delivery Models (e-commerce) – Crowd sourced – Parcel terminals – Electrical tricycles – Drone deliveries – Digital lockers • New types of warehouse solutions – Smart and Mobile
  • 29. Next step • How to start your Digital Supply Chain Transformation? – Vision statement – Strategy roadmap – Manage pilot projects – Measure maturity in processes – Business Model Discovery digitalstrategy-ai.com