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Supply Chain Innovation
1.
Driving Innovation November 2017 For
the Supply Chain Leader Who Wants to Rise Above
2.
Supply Chain Insights
LLC Copyright © 2017, p. 2 I Am A Social Scientist
3.
Supply Chain Insights
LLC Copyright © 2017, p. 3 A Skeptic
4.
Supply Chain Insights
LLC Copyright © 2017, p. 4 A Bit of a Curmudgeon…
5.
Supply Chain Insights
LLC Copyright © 2017, p. 5 A Fortune-teller of Sorts….
6.
Supply Chain Insights
LLC Copyright © 2017, p. 6 I Write for the Supply Chain Leader
7.
Supply Chain Insights
LLC Copyright © 2017, p. 7 This Morning I Was Melania Trump
8.
Supply Chain Insights
LLC Copyright © 2017, p. 8 Sadly, I Was Hacked
9.
Supply Chain Insights
LLC Copyright © 2017, p. 9 Today’s Reality
10.
Supply Chain Insights
LLC Copyright © 2017, p. 10 A Leaky Boat Tossed by Many Winds Amazon Effect 3G EFFECT Digital E2 E
11.
Supply Chain Insights
LLC Copyright © 2017, p. 11 Trade Complexity Is Increasing as Growth Slows
12.
Supply Chain Insights
LLC Copyright © 2017, p. 12 Third Industrial Revolution Productivity Impact Stopped in 2004
13.
Supply Chain Insights
LLC Copyright © 2017, p. 13 Risk Drivers
14.
The Manifesto for Change
15.
Supply Chain Insights
LLC Copyright © 2017, p. 15
16.
Supply Chain Insights
LLC Copyright © 2017, p. 16 What I Believed
17.
Supply Chain Insights
LLC Copyright © 2017, p. 17 Only 12% Of Companies Are Driving Improvement and Performance Better Than Their Peer Group at the Intersection of Operating Margin and Inventory Turns.
18.
Supply Chain Insights
LLC Copyright © 2017, p. 18 The Supply Chain Is a Complex System with Increasing Complexity.
19.
Supply Chain Insights
LLC Copyright © 2017, p. 19 • Improvement • Performance better than Peer Group • Resiliency • Balance • Strategy to Action What Defines Supply Chain Excellence?
20.
Supply Chain Insights
LLC Copyright © 2017, p. 20 2006 2016 6.6 6.8 7.0 7.2 7.4 7.6 7.8 8.0 0.08 0.09 0.10 0.11 0.12 0.13 0.14 0.15 InventoryTurns Operating Margin Food Best Scenario Food 0.11, 7.38 Average (Operating Margin, Inventory Turns) Source: Supply Chain Insights LLC, Corporate Annual Reports 2006-2016 from YCharts Shifts in the Food Manufacturing Market Operating Margin vs. Inventory Turns (2006 - 2016)
21.
Supply Chain Insights
LLC Copyright © 2017, p. 21 2006 20162006 2016 5.4 5.9 6.4 6.9 7.4 7.9 0.08 0.10 0.12 0.14 0.16 0.18 0.20 InventoryTurns Operating Margin General Mills Food Best Scenario Food 0.11, 7.38 General Mills 0.16, 6.96 Average (Operating Margin, Inventory Turns) Source: Supply Chain Insights LLC, Corporate Annual Reports 2006-2016 from YCharts General Mills Versus Food Averages Operating Margin vs. Inventory Turns (2006 - 2016)
22.
Supply Chain Insights
LLC Copyright © 2017, p. 22 2006 2016 2006 2016 4.5 5.0 5.5 6.0 6.5 7.0 7.5 8.0 0.08 0.10 0.12 0.14 0.16 0.18 0.20 InventoryTurns Operating Margin Hershey Food Best Scenario Food 0.11, 7.3 HSY 0.16, 5.62 Average (Operating Margin, Inventory Turns) Source: Supply Chain Insights LLC, Corporate Annual Reports 2006-2016 from YCharts A Look at Hershey Operating Margin vs. Inventory Turns (2006 – 2016)
23.
Supply Chain Insights
LLC Copyright © 2017, p. 23 A Closer Look at P&G
24.
Supply Chain Insights
LLC Copyright © 2017, p. 24 Comparison of Toyota and Honda Operating Margin vs. Inventory Turns (2006 – 2015)
25.
Supply Chain Insights
LLC Copyright © 2017, p. 25 What Makes a Difference?
26.
Supply Chain Insights
LLC Copyright © 2017, p. 26 Correlations
27.
Supply Chain Insights
LLC Copyright © 2017, p. 27 A Closer Look at Supply Chain Excellence
28.
Supply Chain Insights
LLC Copyright © 2017, p. 28 A Closer Look at the Methodology
29.
Supply Chain Insights
LLC Copyright © 2017, p. 29 Top Performers
30.
Supply Chain Insights
LLC Copyright © 2017, p. 30
31.
What Did I
Learn?
32.
Supply Chain Insights
LLC Copyright © 2017, p. 32 Improvement IS Fast When You Have a Lot to Lose
33.
Supply Chain Insights
LLC Copyright © 2017, p. 33 Manage Costs Like a Decathlete
34.
Supply Chain Insights
LLC Copyright © 2017, p. 34 Managing Costs
35.
Supply Chain Insights
LLC Copyright © 2017, p. 35 Efficient Is Usually Not Effective
36.
Supply Chain Insights
LLC Copyright © 2017, p. 36 Fads Get Us Nowhere
37.
Supply Chain Insights
LLC Copyright © 2017, p. 37 Best Transformations Require Wings and Feet Aspirational Leadership and Process Innovation Grounded in Goals
38.
Driving a Digital Transformation
39.
Supply Chain Insights
LLC Copyright © 2017, p. 39 What Is Next-Generational Thinking?
40.
Supply Chain Insights
LLC Copyright © 2017, p. 40 Current Supply Chain Process Thinking Rows and Columns: Transactional Data Fixed Hierarchies with Structured Data One-to-One Enterprise Linear Flows Descriptive and Predictive Analytics
41.
Supply Chain Insights
LLC Copyright © 2017, p. 41 • Autonomous Supply Chain: Automation of supply chain processes through cognitive learning and artificial intelligence eliminating labor and reducing the need for people to touch data. • Value Chain Uberization: A platform to enable shared resources across a community. • 3D Printing: Localization of manufacturing through the sharing of digital images using additive manufacturing. • Internet of Things: The use of machine-to-machine streaming data to improve supply chain outcomes. • Multi-Tier Networks and Redefinition of B2B: The building and execution of multi-tier networks for data sharing, collaborative workflows, and improved decision making. This includes a discussion of blockchain, network canonicals, and interoperability. • Cloud-Based Computing. The promise of cloud is federation and democratization of data, in both private and public clouds, with the promise of lower cost of ownership. • Listening: The use of unstructured data–social sentiment, warranty, and quality data–to improve organizational productivity and outside-in processes to be market-driven. Market-Driven Value Networks is a more mature definition of demand-driven. What Does Digital Transformation Mean for You? There Is No One Definition
42.
Trend #1: Outside-In Processes
43.
Supply Chain Insights
LLC Copyright © 2017, p. 43 Today’s Reality
44.
Supply Chain Insights
LLC Copyright © 2017, p. 44 Opportunities at the Intersection of the Social and Interest Graph(s) in eCommerce
45.
Supply Chain Insights
LLC Copyright © 2017, p. 45 The Long Tail of the Supply Chain
46.
Supply Chain Insights
LLC Copyright © 2017, p. 46 Traditional Approaches of ERP/MRP/DRP Amplify the Bullwhip Effect
47.
Bar codes were
first used at Marsh Supermarket in 1968
48.
Supply Chain Insights
LLC Copyright © 2017, p. 48 Use of Downstream Data
49.
Supply Chain Insights
LLC Copyright © 2017, p. 49 POS Cost Profile by Year 2006 - 2009 0.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4 1.6 1.8 2.0 W K 1 W K 3 W K 5 W K 7 W K 9 W K 11 W K 13 W K 15 W K 17 W K 19 W K 21 W K 23 W K 25 W K 27 W K 29 W K 31 W K 33 W K 35 W K 37 W K 39 W K 41 W K 43 W K 45 W K 47 W K 49 W K 51 WMT Week BaseIndex 2006 2007 2008 2009 Claritin Case Study: Spring and Allergies • 40% of Annual POS done in 16 spring weeks • Every Year the Season Flows Essentially the Same In Aggregate – WM Store and DC build strategies the same across the country Source: IRI
50.
Supply Chain Insights
LLC Copyright © 2017, p. 50 0.0 0.5 1.0 1.5 2.0 2.5 3.0W K 1W K 2W K 3W K 4W K 5W K 6W K 7W K 8W K 9 W K 10 W K 11 W K 12 W K 13 W K 14 W K 15 W K 16 W K 17 W K 18 W K 19 W K 20 W K 21 W K 22 W K 23 W K 24 W K 25 W K 26 W K 27 W K 28 W K 29 W K 30 W K 31 W K 32 W K 33 W K 34 W K 35 W K 36 W K 37 W K 38 W K 39 W K 40 W K 41 W K 42 W K 43 W K 44 W K 45 W K 46 W K 47 W K 48 W K 49 W K 50 W K 51 W K 52 WM WEEK POSBASEINDEX Profile CA-40 MID-N SOUTH NORTH PAC Wal-Mart Demand Flow • Utilized store level data to develop 5 regional profiles based on average 5 year POS – Worked with Walmart to develop Store and DC Build and Exit Strategies Based on Profiles – Implemented Throughout Entire Allergy Category at Walmart – Drove Growth by 5%
51.
Supply Chain Insights
LLC Copyright © 2017, p. 51 The Need to Listen
52.
Supply Chain Insights
LLC Copyright © 2017, p. 52 5 CUSTOMER PATH ANALYTICS
53.
Supply Chain Insights
LLC Copyright © 2017, p. 53 5 KINETIC HEAT MAPS
54.
Supply Chain Insights
LLC Copyright © 2017, p. 54 Improving Product Visibility
55.
Trend #2: The
Autonomous Supply Chain
56.
Supply Chain Insights
LLC Copyright © 2017, p. 56 Data Needs to Move Securely Through Value Networks In… Clouds Streams Pools
57.
Supply Chain Insights
LLC Copyright © 2017, p. 57 Need for New Forms of Analytics
58.
Supply Chain Insights
LLC Copyright © 2017, p. 58 Autonomous Supply Chain Cognitive Computing Machine Learning Text Mining and Pattern Recognition Predictive and Prescriptive Analytics Building the Autonomous Supply Chain
59.
Supply Chain Insights
LLC Copyright © 2017, p. 59 Evolution of Cognitive Computing
60.
Trend #3. Real-Time
Data
61.
Supply Chain Insights
LLC Copyright © 2017, p. 61 Redefining Time
62.
Supply Chain Insights
LLC Copyright © 2017, p. 62 1.5M sku locations ~ 95% slow or intermittent Seasonal demand (at the item level) is identified down to a specific location. Simplified for clarity In reality, looks more like this •365 days •150+ local climates •Avg 3,000 items / location (165M) •15 year lifecycle changing amplitude Lennox International
63.
Supply Chain Insights
LLC Copyright © 2017, p. 63 •Replace •Compressor •Engines • Dealer gets service event • We get parts sales • Customer has non-event • Customer - Dealer & Brand loyalty Your compressor shows that it will fail within the next 30 days. What day would be good for us to come replace it? Redefining Service
64.
Supply Chain Insights
LLC Copyright © 2017, p. 64 Internet of Things
65.
Supply Chain Insights
LLC Copyright © 2017, p. 65
66.
Supply Chain Insights
LLC Copyright © 2017, p. 66 Rich user interface in full HD Evocative sound track with burring grinder and tinkling of spoons Memorable flavours and fragrances Cutting edge reliable / ultra efficient computer processing hardware Stunning curved design by Italian automotive designers Irresistible aromas of Costa’s coffee shops Innovative coffee-making system providers Redefining Replenishment
67.
Supply Chain Insights
LLC Copyright © 2017, p. 67 Transforming Inbound Logistics Mobile Device Apps AIS Vessel Location Sensors
68.
Supply Chain Insights
LLC Copyright © 2017, p. 68 Improved On-Time Delivery
69.
Trend #4. Digital
Manufacturing
70.
Supply Chain Insights
LLC Copyright © 2017, p. 70 What Is Digital Manufacturing? Additive Manufacturing Paperless Processes Robotics
71.
AGCO Manufacturing Redefinition
72.
Supply Chain Insights
LLC Copyright © 2017, p. 72 Evolution of 3-D Printing Organs
73.
Supply Chain Insights
LLC Copyright © 2017, p. 73 Ultimate Ear
74.
Trend #5: Network
of Networks
75.
Supply Chain Insights
LLC Copyright © 2017, p. 75 The adoption of distributed and open technology by the ecosystem of technology providers and business users to drive inter-operability in value networks to improve business outcomes. What Is the Network of Networks?
76.
Supply Chain Insights
LLC Copyright © 2017, p. 76 What Does Not Work
77.
Supply Chain Insights
LLC Copyright © 2017, p. 77 Future View
78.
Supply Chain Insights
LLC Copyright © 2017, p. 78 Write once and use company and contact information many times.Community Directory • Reduce onboarding through once source of data. Blockchain redefines visibility and track and trace.Traceability • Confluence of Blockchain and Spark/Internet of Things Redefine Lineage. Bitcoin and Blockchain disintermediate traditional banking.Supply Chain Finance • Emergence of the supply chain digital wallet. • An alternative to EDI. Cognitive computing eliminates the need for master data management and standards.Interoperability • Data is mined through patterns and translated for context through cognitive computing. Shift from standards to process canonicals. What Could Change?
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LLC Copyright © 2017, p. 79 Example: Shipment case study Maersk and IBM analyzed the shipment of avocados from Mombasa to Rotterdam We followed the shipment from Mombasa to Rotterdam and tracked the actors, people and information exchanges. The findings illustrated the complexity and costs inherent in today’s global supply chain 200 100 30 1 0 50 100 150 200 250 Information exchanges People Actors Avocado Shipment
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LLC Copyright © 2017, p. 80 The case for GTD 80 TODAY Inconsistent information across organizational boundaries and “blind spots” throughout the supply chain Complex, cumbersome, and costly peer-to-peer messaging Manual, time-consuming and expensive, paper-based processes Risk assessments often lack sufficient information Clearance processes subject to fraud High administrative cost of handling a container shipment TOMORROW Instant, secure access to end-to-end supply chain information Single source of the truth Assurance of the authenticity and immutability of digital documents Trusted cross-organizational workflows Better risk assessments and fewer unnecessary interventions Far lower administrative expenses and elimination of costs to move physical paper across international borders Exporter Authority Authority Authority Authority Forwarder Carrier ConsigneeAuthority Terminal Exporter Trucker Rail Authority Authority Forwarder Carrier Consignee Terminal Global Trade Digitization
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LLC Copyright © 2017, p. 81 GTD is an industry platform that connects and provides benefits to the supply chain ecosystem GTD Platform Customs Systems Logistic actors internal systems Supply Chain Visibility Systems Port Community Systems; Terminal Operating Systems Transportation Management Authorities Trade Associations Ocean Carriers Shippers / Supply Chain Actors Supply Chain / Transportation Management systems Ports and Terminals Freight Forwarders 1 Shipping Information Pipeline (SIP) Provides end-to-end supply chain visibility that enables all actors involved in a global shipping transaction to securely and seamlessly exchange shipment events in real time Paperless Trade Digitizes and automates paperwork filings for the import and export of goods by enabling end users to securely submit, stamp and approve documents across national and organizational boundaries 2 GTD is built on an open technology stack and is underpinned by Blockchain technology GTD is a trade platform for containerized shipping connecting the entire supply chain ecosystem
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LLC Copyright © 2017, p. 82© 2017 Bristlecone Inc. 82 Challenges in India’s Dairy Cold Chain How does this affect Businesses? India, the world’s largest milk producer ends up wasting about 20-50% of total produce 93% of companies’ supply chain is invisible India’s operating cost of cold storage is High: USD 60 per cubic metre vs USD 30 in the West Lack of risk mitigation leads to high value food wastage and recurring losses Lack of cutting edge Tech in supply chains causes you to lose out on the competitive advantage Social, ethical and environmental issues in supply chains leads to loss in Market Capitalization & Brand reputation
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LLC Copyright © 2017, p. 83 SECURED INFORMATION SHARING
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Trend #7 Rethinking Planning
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LLC Copyright © 2017, p. 85 Planning Maturity: Large CPG Company Application Channel Sell Deliver Make Source Suppliers Strategic Planning 6-18 months Partner Planning Network Design Strategic Sourcing Tactical Planning 12-52 weeks Sales and Operations Planning Commodity Council Buying Strategies Requirements Planning Joint Value Creation Forecasting Inventory Configuration Tactical Supply Supplier Development Transportation Planning Material Orchestration Operational Planning 3-12 weeks Demand Sensing (MDS and DS) Inventory Planning DRP/Load Planning Deployment Production Planning MRP Supplier Sensing Internal Visibility Supplier Visibility Executional Planning 0-3 Weeks Customer VMI Trade Promotion Execution ATP Supplier VMI Transactional Data Transactions Planning Master Data Planning Master Data
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LLC Copyright © 2017, p. 86 Shifts in Planning Architecture
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LLC Copyright © 2017, p. 87 Probabilistic Approaches
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Trend #7 Talent
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LLC Copyright © 2017, p. 89 Baby Boomers, Vendors, Academics, and Remote Employees Are Most Satisfied with Their Jobs
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LLC Copyright © 2017, p. 91 Today’s Challenges
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Moving Forward
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LLC Copyright © 2017, p. 93
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LLC Copyright © 2017, p. 94 Where Are You Willing to Invest? Early Adopter Late Adopter Cognitive, Machine Learning, Blockchain, Internet of Things, Wearables, Drones, Autonomous Vehicles Cloud, Concurrent Planning, Descriptive Analytics, Production Planning, Inventory Management, Transportation Planning 2 Options: Little Choice in Between
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LLC Copyright © 2017, p. 95 • Remove the handcuffs. Eliminate the expectation of well- defined ROIs. • Develop a stage-gate process for process innovation. • Embrace small scrappy teams. • Partner with technology innovators. • Manage the hype cycles. Have the Talk with Your CFO
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LLC Copyright © 2017, p. 96 Wrap-up • Embrace New Technologies at the Right Time. • Focus on Capabilities. Build with the Goal in Mind. • Manage the Supply Chain as a Complex System.
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LLC Copyright © 2017, p. 97 Time to Take a Different Path?
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LLC Copyright © 2017, p. 99 About Lora Cecere • Founder of Supply Chain Insights • “LinkedIn Influencer” • Guest blog for Forbes • Author of 5 books: Bricks Matter (2012), Shaman’s Journal (2014), Supply Chain Metrics That Matter (2014), Shaman’s Journal (2015), Shaman’s Journal (2016), Shaman’s Journal (2017) • Partner at Altimeter Group (leader in open research) • 7 years of Management Experience leading Analyst Teams at Gartner and AMR Research • 8 years Experience in Marketing and Selling Supply Chain Software at Descartes Systems Group and Manugistics (now JDA) • 15 Years Leading teams in Manufacturing and Distribution operations for Clorox, Kraft/General Foods, Nestle/Dreyers Grand Ice Cream and Procter & Gamble. Contact Information: • Email: lora.cecere@supplychaininsights.com • Blog: www.supplychainshaman.com (15,000 pageviews/month) • Forbes: www.forbes.com/sites/loracecere • Twitter: twitter.com/lcecere (8,700 followers) • LinkedIn: www.linkedin.com/in/loracecere (238,000 followers) • LinkedIn Influencer: www.linkedin.com/today/author/446631
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