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Supply Chain Governance in
Changing Uncertain Times
N. Viswanadham
Computer Science and Automation
Indian Institute of Science
Bangalore- 560012
n.viswanadham@gmail.com
Feb13, 2015
5th Annual Manufacturing
CIO Summit
Contents
 Risk & Volatility in SCNs
 Recent Technology Trends
 What is the Take away
 Design of Future Supply Chains
– Governance
– Partner Selection, Coordination & Execution
 Conclusions
N.Viswanadham
Risk & Volatility in SCNs
N.Viswanadham
Risk & Volatility in SCNs
 Modern businesses are globalized, interconnected &
interdependent, both vertically and horizontally.
Volatility is the new norm in supply chains.
 These networks face risk from partners, partner ‘s
partners & Governments.
 Disruptions and Disasters happen : Resource shortages,
Longer multimodal routes, Customs & regulations, Port
congestion, Quality, Safety & Environmental
compliance, Weather & Natural disasters, Terrorism,
Political and/or economic instability, Exchange rate
fluctuations, etc
N.Viswanadham
Drop in Oil Prices
 Drop in oil prices is good for importing countries:
China, India etc
 Disastrous to the exporting economies
 Causes for fall in Oil prices
– Rise in unconventional oil (Shale , Sand) & Bio fuel production.
– Decline in oil intensity in China and Germany
– OPEC trying to maintain market share rather than oil price
 Shale gas is not economical below $60
 Global businesses partnered by Oil rich Countries
may crash
N.Viswanadham
N.Viswanadham
Political Changes
 New Government in Centre, States
 New Initiatives: Make in India, Digitization, Smart
Cities, Good Governance, Affordable housing, etc
 Relationships with Foreign countries
 Eight ordinances in 225 days : Land acquisition act,
FDI in insurance , Facilitating coal auctions, lifetime
Indian visas for persons of Indian origin, etc.
N.Viswanadham
Equities Surge to Record Highs
Rupee vs. US$
Sensex & Foreign Purchases
of Indian Equities
N.Viswanadham
Recent Technology Trends
N.Viswanadham
Technology Changes
 Mobile Internet
 IOT
 3D printing
 BitCoin
 Drones
 Driverless Cars & Trucks
 New start ups: One a day in Bangalore: Uber, Ola Cabs,
Doctorie.com, MGaadi, Dosa King, Mobile apps, ..
 Cyber security: Estimated annual cost of computer crimes in
US— phishing, identity theft — is presently at over $100 B.
 New technologies emerge not from new discoveries but from
the recombination of existing technologies into new systems.
Mobile Technologies Drive a Trillion-
Dollar Impact
 Mobile Companies invested $1.8 trillion in infrastructure & R&D
from 2009--13 & generated in 2014, $3.3T revenue &11 M jobs.
 3 B connections now (3G ,4G) & projected to 8 B by 2020.
 Mobile has been a driving force for the success of Apple,
Google, China Mobile, Alibaba, Facebook, and Verizon which
have grown 35 % annually in revenue.
 Mobile has become a growth engine for several countries,
contributing about $1.2 T in GDP (2 - 4 % GDP for some
countries & 11% for South Korea)
 Major waves of innovation are on the way
– mobile will be the supercomputer in our pockets interacting
with smart objects on our person, in homes & in our offices.
N.Viswanadham
Game Changing Disruptive Innovations
 Ecommerce is disrupting traditional distribution.
 Uber and Ola are upending radio and yellow taxis.
 Airbnb has hotels very concerned and Bitcoin is future currency
 Robotic doctors are a reality, a solution to doctor shortage
 Amazon , Alibaba and DHL are testing package delivery drones.
 Driverless cars are a boon in traffic congestion & bad drivers
 Flipkart, Amazon, Ebay.in, Snapdeal, Shopclues, Myntra,
Yebhi, Tradus, Pepperfry , Homeshop18 are on rise.
 BigBasket.com, ZopNow.com, EkStop.com , LocalBanya.com
are competing with their own brands for fruits, vegetables, rice.
N.Viswanadham
Rise of Algorithmic Governance
 Rise of the Machine Reporters
 Digital Chef: An algorithm sorts through hundreds of
thousands of recipes & comes up with one to our taste.
 An Algorithm is on Board of Directors of a Venture Capital
Firm Deep Knowledge Ventures with voting rights
 GE can predict failure of gas turbines weeks in advance
(IOT) no need for scheduled or reactive maintenance
 In Retail, focus is shifting from Sales & Marketing to
Predictive Analytics using Industry Knowledge, Consumer
preferences, Social media analytics & Recommender systems
 Machine Intelligence substituting Human Brain
N.Viswanadham
Cognitive Factories
 In cognitive factories, human beings, machines, robots,
AGVs and other resources communicate with each other.
They have collaborative decisioning capabilities
 Smart products know the details of how they were
manufactured and how they are intended to be used.
 Smart Products answer questions such as Which
parameters should be used to process me? , When
should I be made? , Where should I be delivered ?, etc.
 The factory can orchestrate the manufacturing process
depending the real time needs.
Big Data in Logistics Applications
 Trucks are equipped with radio transmitters and GPSs.
Vehicle Tracking and Dispatch keeps track of the location
and inventory on every vehicle.
 Firms use data from sensors—monitoring fuel levels, location
and capacity, driver behaviour, etc. For optimization.
 Annual traffic density figures are used to generate the most
efficient routes to minimize the cost of transporting goods.
 Warehouse Operations and Cross docking use information
system that dynamically coordinate trucks & the dock
 Generation of routes and manifests for the trucks dynamically
based on their inventory loads and tracking & monitoring the
delivery.
N.Viswanadham
Augmented Reality in the logistics industry
 Augmented Reality (AR) is the
expansion of physical reality by
adding layers of computer-
generated information .
 Information could be any kind of
virtual object or content,
including text, graphics, video,
sound, & GPS data.
 AR is a new type of real-time
natural user interface for human
interaction with objects and
digital devices
N.Viswanadham
Test tube Baby Production Factory
N.Viswanadham
Trillion Dollar Club
 Over the past decade, six technology-led companies Amazon,
Apple, Face book, Google, Netflix, and Pandora have
collectively generated more than $1 trillion market value
 Nokia, Motorola, Borders, Barnes & Noble, AOL,
Blockbuster, Tower Records, and HMV—lost more than
90% of their 2003 enterprise values.
 The common denominator of the business models of the
Trillion-Dollar Club: the digital information that surrounds
the product and company (the virtual self), can generate more
value than the physical entity alone.
 Companies need to master the new rules of the digital
economy to win.
N. Viswanadham
What is the Takeaway
 Same product is sold by two retailers: One is able to sell other
goes bankrupt
 Same brand is manufactured in two countries, it make profit in
one and losses in another
 Decision making once in the hands of humans is now done by
machines using wireless sensor networks
 Digital upstarts are threatening bottom lines, growth prospects
&business models of traditional service providers
Digitization, Consumerisation, Governance &
Labour productivity make the difference
N.Viswanadham
Black Swans
 Nicholas Taleb introduced the Black Swan Theory in his
book: “Fooled by randomness”.
 The “black swan” are high impact events unthinkable based on
past information.
 The impact of such events can be either positive or negative.
– Positive black swan event has favourable consequences like the
discovery of a new Vaccine, Internet, Mobile phone.
– Negative black swan events come with catastrophic consequences : the
economic crisis or September 11 attacks or Tsunamis or Oil Price drop
 The world is more random than it is commonly assumed and
our understanding of it is even more deficient.
N.Viswanadham
Design of Future Supply Chains
N.Viswanadham
Adaptive Digital Supply Chains
 Supply chain are inter-organizational networks
collaborating to deliver high value products and
services under normal conditions and also adapt and
respond to changing customer requirements and
environmental uncertainties such as
– Market, political and economic conditions
– Innovations &disruptions in Resources and Technologies
– New business models: Omni Channel Retail, Mobile Sensor
networks in logistics, Combinatorial supply chain
innovations,...
N.Viswanadham
N. Viswanadham
Supply Chains
DeliveryServicesInfrastructure
Resources
Institutions
The Basic Ecosystem
Investment Climate
Co-Evolution, Conflict, Risk Propagation
Governance: Partner Selection
Coordination & Execution
N.Viswanadham
Governance Functions
 Governance concerns the exercise of authority, direction,
control and management
 Identifies and manages relations with government, trade &
social groups, labour, resources and B2B and B2C delivery
 Builds systems for effective communication, collaboration and
coordination among the network partners
 Identifies the risks from various ecosystem sources and puts in
place risk mitigation strategies in operational readiness
 For every customer order, selects the partners, allocates the
tasks and responsibilities & forms the network .
 Manages a control room for monitoring and execution of the
planned activities in a timely manner
N.Viswanadham
Governance: Partner selection,
Coordination & Execution
N.Viswanadham
Other
Agencies
Coordination
Partner Selection
Partner Selection
 Partner selection based on Current State of Ecosystem
– Innovations in products and processes
– Business friendliness of supplier location
– Locations of plants, customers & transportation lanes
– Asset specificity, capabilities, Depth & Width of ties ( Govt.,
cluster managements, etc.)
– Alerts of natural disasters, strikes and protests, infrastructure
failure, etc.
– Digital efficiencies of the suppliers (Traceability) and 3PLs(
AR, GPS, Tracking )
Coordination
 Coordination brings different organizations into a
harmonious relationship.
 Coordination involves: For every order,
– selection of suppliers : Identifying product specification,
technology , tolerances and process standards and the
production schedules;
– Selection of logistics players, determining their delivery
schedules , etc
N.Viswanadham
Execution
 Monitors the flow of goods and services for each
order as per the coordinated guide
 In case of a malfunction or failure takes appropriate
action to mitigate the risk
 Manages all exceptions through a control Tower
N.Viswanadham
Conclusion
 During the last decade ERP, CRP etc analyzed
internal data – sales, shipments, inventory, etc .
 Now companies need to analyze external data to
gain insights into customer fancies, markets, partner
ecosystem and possible risks & consequences, etc
and design an adaptive SCN
 Our framework enables such a design. Technology
plays a Major Role
N.Viswanadham
N.Viswanadham
Orchestrator Business Model
Supplier Contract Mfg 3PL
Execution
Supplier Contract Mfg 3PL
3PL
3PL
End Customer
Material Flow
Operational
Status
Plans
Payment
Planning, Coordination and Overall Responsibility
Orders
Orchestrator
China Wants To Build a Rail Line to USA
Big Data Public Lecture N. Viswanadham
'China-Russia-Canada-America line' would run for 13,000 km
across Siberia and pass under Bering Strait through 200km tunnel
Self driving car
N.Viswanadham
The car is equipped with a battery of cameras, radar, and
sensors that give the car a 360° knowledge of the surrounding
environment and allowing it to react proactively to obstacles.

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Supply Chain Governance in Changing Times

  • 1. Supply Chain Governance in Changing Uncertain Times N. Viswanadham Computer Science and Automation Indian Institute of Science Bangalore- 560012 n.viswanadham@gmail.com Feb13, 2015 5th Annual Manufacturing CIO Summit
  • 2. Contents  Risk & Volatility in SCNs  Recent Technology Trends  What is the Take away  Design of Future Supply Chains – Governance – Partner Selection, Coordination & Execution  Conclusions N.Viswanadham
  • 3. Risk & Volatility in SCNs N.Viswanadham
  • 4. Risk & Volatility in SCNs  Modern businesses are globalized, interconnected & interdependent, both vertically and horizontally. Volatility is the new norm in supply chains.  These networks face risk from partners, partner ‘s partners & Governments.  Disruptions and Disasters happen : Resource shortages, Longer multimodal routes, Customs & regulations, Port congestion, Quality, Safety & Environmental compliance, Weather & Natural disasters, Terrorism, Political and/or economic instability, Exchange rate fluctuations, etc N.Viswanadham
  • 5. Drop in Oil Prices  Drop in oil prices is good for importing countries: China, India etc  Disastrous to the exporting economies  Causes for fall in Oil prices – Rise in unconventional oil (Shale , Sand) & Bio fuel production. – Decline in oil intensity in China and Germany – OPEC trying to maintain market share rather than oil price  Shale gas is not economical below $60  Global businesses partnered by Oil rich Countries may crash N.Viswanadham
  • 7. Political Changes  New Government in Centre, States  New Initiatives: Make in India, Digitization, Smart Cities, Good Governance, Affordable housing, etc  Relationships with Foreign countries  Eight ordinances in 225 days : Land acquisition act, FDI in insurance , Facilitating coal auctions, lifetime Indian visas for persons of Indian origin, etc. N.Viswanadham
  • 8. Equities Surge to Record Highs Rupee vs. US$ Sensex & Foreign Purchases of Indian Equities N.Viswanadham
  • 10. Technology Changes  Mobile Internet  IOT  3D printing  BitCoin  Drones  Driverless Cars & Trucks  New start ups: One a day in Bangalore: Uber, Ola Cabs, Doctorie.com, MGaadi, Dosa King, Mobile apps, ..  Cyber security: Estimated annual cost of computer crimes in US— phishing, identity theft — is presently at over $100 B.  New technologies emerge not from new discoveries but from the recombination of existing technologies into new systems.
  • 11. Mobile Technologies Drive a Trillion- Dollar Impact  Mobile Companies invested $1.8 trillion in infrastructure & R&D from 2009--13 & generated in 2014, $3.3T revenue &11 M jobs.  3 B connections now (3G ,4G) & projected to 8 B by 2020.  Mobile has been a driving force for the success of Apple, Google, China Mobile, Alibaba, Facebook, and Verizon which have grown 35 % annually in revenue.  Mobile has become a growth engine for several countries, contributing about $1.2 T in GDP (2 - 4 % GDP for some countries & 11% for South Korea)  Major waves of innovation are on the way – mobile will be the supercomputer in our pockets interacting with smart objects on our person, in homes & in our offices. N.Viswanadham
  • 12. Game Changing Disruptive Innovations  Ecommerce is disrupting traditional distribution.  Uber and Ola are upending radio and yellow taxis.  Airbnb has hotels very concerned and Bitcoin is future currency  Robotic doctors are a reality, a solution to doctor shortage  Amazon , Alibaba and DHL are testing package delivery drones.  Driverless cars are a boon in traffic congestion & bad drivers  Flipkart, Amazon, Ebay.in, Snapdeal, Shopclues, Myntra, Yebhi, Tradus, Pepperfry , Homeshop18 are on rise.  BigBasket.com, ZopNow.com, EkStop.com , LocalBanya.com are competing with their own brands for fruits, vegetables, rice. N.Viswanadham
  • 13. Rise of Algorithmic Governance  Rise of the Machine Reporters  Digital Chef: An algorithm sorts through hundreds of thousands of recipes & comes up with one to our taste.  An Algorithm is on Board of Directors of a Venture Capital Firm Deep Knowledge Ventures with voting rights  GE can predict failure of gas turbines weeks in advance (IOT) no need for scheduled or reactive maintenance  In Retail, focus is shifting from Sales & Marketing to Predictive Analytics using Industry Knowledge, Consumer preferences, Social media analytics & Recommender systems  Machine Intelligence substituting Human Brain N.Viswanadham
  • 14. Cognitive Factories  In cognitive factories, human beings, machines, robots, AGVs and other resources communicate with each other. They have collaborative decisioning capabilities  Smart products know the details of how they were manufactured and how they are intended to be used.  Smart Products answer questions such as Which parameters should be used to process me? , When should I be made? , Where should I be delivered ?, etc.  The factory can orchestrate the manufacturing process depending the real time needs.
  • 15. Big Data in Logistics Applications  Trucks are equipped with radio transmitters and GPSs. Vehicle Tracking and Dispatch keeps track of the location and inventory on every vehicle.  Firms use data from sensors—monitoring fuel levels, location and capacity, driver behaviour, etc. For optimization.  Annual traffic density figures are used to generate the most efficient routes to minimize the cost of transporting goods.  Warehouse Operations and Cross docking use information system that dynamically coordinate trucks & the dock  Generation of routes and manifests for the trucks dynamically based on their inventory loads and tracking & monitoring the delivery. N.Viswanadham
  • 16. Augmented Reality in the logistics industry  Augmented Reality (AR) is the expansion of physical reality by adding layers of computer- generated information .  Information could be any kind of virtual object or content, including text, graphics, video, sound, & GPS data.  AR is a new type of real-time natural user interface for human interaction with objects and digital devices N.Viswanadham
  • 17. Test tube Baby Production Factory N.Viswanadham
  • 18. Trillion Dollar Club  Over the past decade, six technology-led companies Amazon, Apple, Face book, Google, Netflix, and Pandora have collectively generated more than $1 trillion market value  Nokia, Motorola, Borders, Barnes & Noble, AOL, Blockbuster, Tower Records, and HMV—lost more than 90% of their 2003 enterprise values.  The common denominator of the business models of the Trillion-Dollar Club: the digital information that surrounds the product and company (the virtual self), can generate more value than the physical entity alone.  Companies need to master the new rules of the digital economy to win. N. Viswanadham
  • 19. What is the Takeaway  Same product is sold by two retailers: One is able to sell other goes bankrupt  Same brand is manufactured in two countries, it make profit in one and losses in another  Decision making once in the hands of humans is now done by machines using wireless sensor networks  Digital upstarts are threatening bottom lines, growth prospects &business models of traditional service providers Digitization, Consumerisation, Governance & Labour productivity make the difference N.Viswanadham
  • 20. Black Swans  Nicholas Taleb introduced the Black Swan Theory in his book: “Fooled by randomness”.  The “black swan” are high impact events unthinkable based on past information.  The impact of such events can be either positive or negative. – Positive black swan event has favourable consequences like the discovery of a new Vaccine, Internet, Mobile phone. – Negative black swan events come with catastrophic consequences : the economic crisis or September 11 attacks or Tsunamis or Oil Price drop  The world is more random than it is commonly assumed and our understanding of it is even more deficient. N.Viswanadham
  • 21. Design of Future Supply Chains N.Viswanadham
  • 22. Adaptive Digital Supply Chains  Supply chain are inter-organizational networks collaborating to deliver high value products and services under normal conditions and also adapt and respond to changing customer requirements and environmental uncertainties such as – Market, political and economic conditions – Innovations &disruptions in Resources and Technologies – New business models: Omni Channel Retail, Mobile Sensor networks in logistics, Combinatorial supply chain innovations,... N.Viswanadham
  • 24. Supply Chains DeliveryServicesInfrastructure Resources Institutions The Basic Ecosystem Investment Climate Co-Evolution, Conflict, Risk Propagation
  • 25. Governance: Partner Selection Coordination & Execution N.Viswanadham
  • 26. Governance Functions  Governance concerns the exercise of authority, direction, control and management  Identifies and manages relations with government, trade & social groups, labour, resources and B2B and B2C delivery  Builds systems for effective communication, collaboration and coordination among the network partners  Identifies the risks from various ecosystem sources and puts in place risk mitigation strategies in operational readiness  For every customer order, selects the partners, allocates the tasks and responsibilities & forms the network .  Manages a control room for monitoring and execution of the planned activities in a timely manner N.Viswanadham
  • 27. Governance: Partner selection, Coordination & Execution N.Viswanadham Other Agencies Coordination Partner Selection
  • 28. Partner Selection  Partner selection based on Current State of Ecosystem – Innovations in products and processes – Business friendliness of supplier location – Locations of plants, customers & transportation lanes – Asset specificity, capabilities, Depth & Width of ties ( Govt., cluster managements, etc.) – Alerts of natural disasters, strikes and protests, infrastructure failure, etc. – Digital efficiencies of the suppliers (Traceability) and 3PLs( AR, GPS, Tracking )
  • 29. Coordination  Coordination brings different organizations into a harmonious relationship.  Coordination involves: For every order, – selection of suppliers : Identifying product specification, technology , tolerances and process standards and the production schedules; – Selection of logistics players, determining their delivery schedules , etc N.Viswanadham
  • 30. Execution  Monitors the flow of goods and services for each order as per the coordinated guide  In case of a malfunction or failure takes appropriate action to mitigate the risk  Manages all exceptions through a control Tower N.Viswanadham
  • 31. Conclusion  During the last decade ERP, CRP etc analyzed internal data – sales, shipments, inventory, etc .  Now companies need to analyze external data to gain insights into customer fancies, markets, partner ecosystem and possible risks & consequences, etc and design an adaptive SCN  Our framework enables such a design. Technology plays a Major Role N.Viswanadham
  • 32. N.Viswanadham Orchestrator Business Model Supplier Contract Mfg 3PL Execution Supplier Contract Mfg 3PL 3PL 3PL End Customer Material Flow Operational Status Plans Payment Planning, Coordination and Overall Responsibility Orders Orchestrator
  • 33. China Wants To Build a Rail Line to USA Big Data Public Lecture N. Viswanadham 'China-Russia-Canada-America line' would run for 13,000 km across Siberia and pass under Bering Strait through 200km tunnel
  • 34. Self driving car N.Viswanadham The car is equipped with a battery of cameras, radar, and sensors that give the car a 360° knowledge of the surrounding environment and allowing it to react proactively to obstacles.