With shrinking production cycles, increasing demand for customized products, and a growing skills gap in the workforce, there are many pressures affecting the manufacturing industry. Technology offers many potential solutions, along with its own set of changes and challenges, including data overload. Advanced analytics solutions can help address these issues. Some enterprises are already reaping the benefits, like automated supply chains and predictive maintenance, but often it’s unclear where to begin. Learn how manufacturing analytics solutions can improve core production and supply chain operations like quality assurance and inventory optimization. With the right approach and tools, and using your existing technology investments, you can uncover potential insights and solutions in the information you already have.

2. 67
Years
25
Years
15
Years
The time to adapt to disruptions is shrinking
Source: BBC
A hundred years ago, the average lifespan of a
company listed on the S&P 500 index was 67 years
75% of the S&P 500 will be new
(not on the index today)
25% of the S&P 500 will
be ones on the index today
In the 2020s…

4. #1 DATA RULES

5. Connected data
1985 1990 1995 2000 2005 2010 2015 2020
CONNECTED
DIGITAL
ANALOG

6. #2 CLOUD IS THE FUTURE

7. The cloud offers limitless computing power
Speed EconomicsScale

8. #3 INTELLIGENCE

9. Intelligent solutions will enable differentiation
• Identify objects, people and
actions
• Hear and recognize language
• Infer emotions and reactions
• Develop deeper context &
understanding over time
Cognitive
Understanding
Conversation
as a platform
• Natural language
conversational UI
• On any canvas e.g. Skype,
Slack, Facebook, etc.
• Intelligent Bots powered by
data & the cloud
• Accessible through personal
digital assistants

10. Manufacturing is changing rapidly
Marketing Services
SalesSupply R&D Production
Production
R&D
Supply
Marketing
Sales
Services `
Physical DigitalDigital Transformation
Smart products
Service ecosystems
Production assets
Raw materials and products
Connected consumersPreventive maintenance
Modern manufacturers are embracing customer centricity, innovating faster, and becoming more agile

11. Create a truly digital factory
Implement predictive maintenance practices to
eliminate accidental production issues, machine
downtime, and increase throughput.
Drive quality assurance with aggregated supplier
data, customer sentiment, and other product
information to identify and correct quality issues.
Securely connect factories to share information
across regions and departments, such as enabling
experts to provide guidance across the business
regardless of location.
Remotely monitor production flow in near-real
time with smart connected machines to get ahead
of production issues.
THIRD-PARTY LOGISTICS
Drive continuous improvement with automated factory processes, intelligent devices, and analytics
Share best practices across sites to ensure quality,
maximize efficiency, and improve workforce
performance.
Analyze plant data to gain production insights,
respond to changes in demand, and provide
cross-channel visibility into inventories to
optimize the supply chain.

12. Drive digital transformation in manufacturing
Customer Center Research and Development
OPSPLANT #7
Operations & Supply-Chain Hub
History
Next Stop
Engage customers and empower employees
• Unify service, marketing, and sales to gather
product usage insights, improve the customer
experience, and increase sales productivity.
• Manage talent more effectively and ensure the
right skills and best practices are propagated
across the business.
Innovate faster and transform products
Act on data from the factory, global ops, and the
customer to:
• Innovate and seize new revenue streams
• Hasten new product & service introduction
• Optimize the use of natural resources
Optimize operations and increase agility
• Utilize global visibility to improve operational
efficiency, validate every component of the
supply chain, and increase the ability to scale
seamlessly.
• Transform operations via insights from smart
devices and assets across digital factories.

13. 13
Quality
Assurance
Demand
Forecasting
Operational
Efficiency
Anomaly
Detection
Predictive
Maintenance
Supply Chain
and Inventory
Optimization

14. 14
Applied analytics is used to gain visibility into
manufacturing, production, and product issues. As a result, one
CPG company is on the path to achieving $35 million in cost-of-
quality reductions, a strategy for self-funding quality
improvements, and improved management of manufacturing and
production across its global supply chain. -- Deloitte [art
no.32][item no.74]

15. 15
Operating condition time series
Part and operator details
Maintenance history
Auto-create service ticket
Add proactive replacement task
Update asset database
Update procurement/supplier data
Input Data:
Intelligent Action:
“Since deploying the Microsoft
predictive analytics solutions we have
seen at least an 80 percent accuracy
rate in the prediction of machine
processes that will slow down or fail,
contributing to a scrap and rework
savings of 17 percent,”
Clint Belinsky, Vice President of Global Quality, Jabil.
Analytics
Polynomial and logistic
regression algorithms for quality
assuranceInsight:
Mean time to fail over threshold
Failure before next maintenance window

16. And their impact on the business
• Reduced manufacturing cycle time
• Higher cost of wasted materials, time, and resources
• Inability to address customers’ critical requirement for speed to market
Product
quality not
acceptable
Challenges Jabil was facing …
• Continuous requirement to increase yield, reduce amount of scrap and rework
• Traditional inspection techniques for ensuring quality quickly becoming outdated with
more one-off production runs
• Adding more equipment and people to existing manufacturing processes would not
have significant impact on increasing throughput
Inspection steps along the
SMT line cannot always
detect the quality issues
Source of failure can be introduced at multiple stages but cannot be detected until it is
powered-up for testing at the end
Improving product quality with quality assurance capabilities

17. 0
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Results
• Predicted machine processes that will slow down or
fail with an 80% accuracy
• Reduced costs of scrap and rework by 17%
• Delivered energy savings of 10%
Variation: 11% (tolerance ≤ 11%)
Vibration frequency: Too high
Bit wear: High
Result in plant 2: Failed
PREDICTED
FAILURE
Recommended maintenance
in next 48 hours
PREVENTATIVE
MAINTENANCE
FOR TOMORROW
10Tuesday
October
7:00 AM
Tactics
Jabil was able to transform its manufacturing
production lines with advanced analytics solutions built
on Microsoft technology.
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Objectives
Jabil wanted to better predict errors or failures on the
assembly floor before they occur, saving customers’
time and money.
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PREDICTED FAILURE
IN NEXT 48 HOURS
Supplier data
Customer
data
Production
data
Historical data
Azure
Services Our rate of rejection has
decreased dramatically now that
we can predict these failures
early in the process.
Improving product quality with quality assurance capabilities

18. 18
A major European manufacturer “used an analytics software solution that determined the best allocation plans for each region, taking into account variables such as available supply,
regional factory capacity, and global demand. The improved allocation helped the company increase profits by about 5 percent without changing production volumes or
capacity.” -- McKinsey [art no.17][item no.49]

19. Inventory optimization in automotive
turbocharges profits and sales velocity
Business challenges:
• With thousands of possible configurations per style of car (and sometimes
millions per model), combinations were too numerous to choose from
efficiently.
• A two-month assembly time for each car put pressure on inventory managers
to pick the right configurations.
Solution benefits:
• Demand forecasts are based on data, not guesswork, to reduce ordering
time and increase accuracy — and thus sales velocity and profits.
• Automated configuration recommendations save time and take pressure
off inventory managers.
Model
Style
Option 1
(mandatory)
Option 2
(mandatory)
Option 2
(mandatory)

20. 20

21. How to start
It is simple, fast, and inexpensive to get going
Visit: https://gallery.cortanaintelligence.com/solutions