SlideShare uma empresa Scribd logo
1 de 21
The Opportunity
Physical And Digital Fusion
Discrete manufacturers are doubling the percentage of
connected products in the next three years.
IDC MaturityScape: Manufacturing Service Innovation, 2016
Manufacturing costs will be reduced by 10-20% by
advanced robotics, cobiotics, better OEE and staff flexibility.
Digital Factories: The Renaissance of the US Automotive Industry.
Fraunhofer Institute for Manufacturing Engineering and Automation (IPA),
Roland Berge, 2016
73% of manufacturers state that cloud solutions had
improved their level of insight into their businesses.
2016 State of Manufacturing Technology Report. Plex, 2016
Cloud computing for the supply chain will be worth $4.4
billion by 2019.
“Supply Chain Management In The Cloud.” Accenture, 2016
Connected And Responsive
1. Accelerated Market Speeds
2. Modular Production Expectations
3. Data Dependent Operations
4. Proliferation Of E-Commerce Platforms
Four Fundamental Shifts
Mapping The Trends
Along The Networked
Supply Chain
Connected Product Research And
Development: The Opportunity
With enhanced collaborative tools and real-time communication
softwares, development teams have the ability to collaborate on product
designs while reducing time to market and improving product longevity
through actionable insights.
The Impact:
Powering Transformation With MicrosoftBusiness Decision Makers
 Enlist real-time knowledge sharing platforms
 Develop products based on market insights
 Redesign product development processes based on collaboration
 Implement reliable network solutions to connect remote parties
 Democratize data sharing processes
 Use real-time product development metrics for decision making
 Integrate solutions to enable ongoing usage monitoring
Information Technology Decision Makers
Insight via Microsoft Power BI enables technical
support teams to detect issues, track usage and
diagnose crashes on mobile and web apps, allowing
them to continually improve direct communication
channels between customers.
Azure IoT Suite allows R&D teams to place IoT data in
the context of service data, enabling the creation of
products that build upon the success of previous
iterations and correct erroneous manufacturing
decisions.
Agile Production With Smart
Equipment: The Opportunity
To deliver custom products quickly and at-scale, manufacturers must have
flexible production lines that can handle multiple product variations, while
ensuring the right mix of materials and components are always on-hand.
The Impact:
Powering Transformation With MicrosoftBusiness Decision Makers
 Invite the consumer into the creation process
 Leverage real-time customer insights to predict
marketplace demand
 Enlist service-oriented equipment that can recognize a
range of instructions
 Enhance data-collection capabilities to enable ongoing
system refinements
Information Technology Decision Makers
Predictive and Perceptual Intelligence via Cortana
Intelligence helps dealers better infer customer needs
and behavior, gain insights and create more
meaningful customer experiences at a reduced cost.
Dynamics CRM powers customer sales and
relationship management, helping companies deliver
exceptional customer experiences and create long-
term relationships based on knowledge and trust.
The Data-Driven Factory:
The Opportunity
In order to ensure efficient and safe operations throughout the factory, all
components must be seamlessly interconnected, relying on data from previous
operatives to inform daily operations and future tasks.
The Impact:
Powering Transformation With MicrosoftBusiness Decision Makers
 Examine contextual factors alongside marketplace data to
better plan for demand needs
 Make infrastructure and technology investments with
flexibility in mind
 Deploy VR/AR technologies to assist in with the
diagnosis of problems
 Employ AI assistants to automate operational
decision making
Information Technology Decision Makers
Data Analytics and Machine Learning via Cortana
Intelligence allows manufacturers to leverage and
process cloud data to inform new automated
services.
Cortana Intelligence helps to create a smarter factory
environment through predictive and proactive
maintenance, helping team members address
problems before they arise.
The Transparent Manufacturing
Journey: The Opportunity
By working diligently with end-to-end supply chain partners and distributors,
and leveraging a flexible logistics network, manufacturers can meet the
constantly fluctuating demands of their customers.
The Impact:
Powering Transformation With MicrosoftBusiness Decision Makers
 Use RFID to track products’ location and quality throughout
the supply chain
 Diversify supply chain partners to enable greater flexibility or
minimize disruption
 Leverage blockchain ledgers to provide a secure way to
track products
 Use tracking systems that can react contextual changes
Information Technology Decision Makers
Azure Machine Learning is a fully managed cloud
service that enables developers to build, deploy,
manage and share predictive analytics in cloud-based
application.
Sharepoint via Microsoft Office 365 is a cloud-based
solution that empowers organizations to share and
collaborate with partners and colleagues throughout
their organization in real time. With SharePoint
Online, team members can access internal sites,
documents and other information from anywhere,
across multiple platforms.
Uninterrupted Operations Through
Responsive Maintenance: The Opportunity
Large-scale manufacturers that deliver goods or services to a variety of
locations can equip their products with the ability to communicate diagnostics
and service statuses, giving central maintenance teams the ability to predict the
impact of external forces on service or staffing needs.
The Impact:
Powering Transformation With MicrosoftBusiness Decision Makers
 Use RFID to track products’ location and quality throughout
the supply chain
 Diversify supply chain partners to enable greater flexibility or
minimize disruption
 Leverage blockchain ledgers to provide a secure way to
track products
 Use tracking systems that can react contextual changes
Information Technology Decision Makers
Connected Field Service via Microsoft Dynamics helps
enterprises move from a break-fix mode of
maintenance to a proactive, highly efficient servicing
model by allowing technicians to remotely monitor or
perform troubleshooting to a fleet of assets.
Remote Monitoring powered by Azure IoT Suite
implements an end-to-end monitoring solution for
businesses to manage multiple machines running in
remote locations, while allowing organizations to
modify solutions to meet their own needs.
4 Technologies
Shaping Manufacturing
1. Big Data Analytics
2. Real-Time Communication Technologies
3. Cloud Connected Services
4. Sensor-Enabled Equipment
• 5 future-forward scenarios
• Key trends driving the manufacturing industry
• 4 industry disruptors Expert insights and
leading case studies
• Actionable takeaways for business and IT
decision makers
• Quotes and insights from industry experts
Download The Entire Future
Of Manufacturing Report
Featuring:

Mais conteúdo relacionado

Mais procurados

Agile manufacturing
Agile manufacturingAgile manufacturing
Agile manufacturing
Hammaduddin
 
RAPID TOOLING - presentationupdate
RAPID TOOLING - presentationupdateRAPID TOOLING - presentationupdate
RAPID TOOLING - presentationupdate
Kerrie Noble
 

Mais procurados (20)

Agile manufacturing
Agile manufacturingAgile manufacturing
Agile manufacturing
 
Additive manufacturing 3D Printing technology
Additive manufacturing 3D Printing technologyAdditive manufacturing 3D Printing technology
Additive manufacturing 3D Printing technology
 
PLM Introduction
PLM IntroductionPLM Introduction
PLM Introduction
 
3D PRINTING - LIQUID AND SOLID BASED ADDITIVE MANUFACTURING
3D PRINTING - LIQUID AND SOLID BASED ADDITIVE MANUFACTURING 3D PRINTING - LIQUID AND SOLID BASED ADDITIVE MANUFACTURING
3D PRINTING - LIQUID AND SOLID BASED ADDITIVE MANUFACTURING
 
Stereolithography latest
Stereolithography latestStereolithography latest
Stereolithography latest
 
3D Printing PPT
3D Printing PPT3D Printing PPT
3D Printing PPT
 
RAPID TOOLING - presentationupdate
RAPID TOOLING - presentationupdateRAPID TOOLING - presentationupdate
RAPID TOOLING - presentationupdate
 
4.selective laser sintering (by Hari Prasad)
4.selective laser sintering (by Hari Prasad)4.selective laser sintering (by Hari Prasad)
4.selective laser sintering (by Hari Prasad)
 
Smart manufacturing
Smart manufacturingSmart manufacturing
Smart manufacturing
 
LIGA Process
LIGA ProcessLIGA Process
LIGA Process
 
3D Printing
3D Printing3D Printing
3D Printing
 
ANALYSIS OF TRANSFER LINE WITH BUFFER STORAGE
ANALYSIS OF TRANSFER LINE WITH BUFFER STORAGEANALYSIS OF TRANSFER LINE WITH BUFFER STORAGE
ANALYSIS OF TRANSFER LINE WITH BUFFER STORAGE
 
selective laser sintering;a rapid prototyping technology
selective laser sintering;a rapid prototyping technologyselective laser sintering;a rapid prototyping technology
selective laser sintering;a rapid prototyping technology
 
Plm overview
Plm overviewPlm overview
Plm overview
 
Additive manufacturing Processes PDF by (badebhau4@gmail.com)
Additive manufacturing Processes PDF by (badebhau4@gmail.com)Additive manufacturing Processes PDF by (badebhau4@gmail.com)
Additive manufacturing Processes PDF by (badebhau4@gmail.com)
 
Spray metal tooling
Spray metal toolingSpray metal tooling
Spray metal tooling
 
3 d printing ppt
3 d printing ppt3 d printing ppt
3 d printing ppt
 
Machine vision
Machine visionMachine vision
Machine vision
 
rapid prototyping
rapid prototypingrapid prototyping
rapid prototyping
 
Lecture # 05 Post processing of AM parts
Lecture # 05 Post processing of AM partsLecture # 05 Post processing of AM parts
Lecture # 05 Post processing of AM parts
 

Destaque

Destaque (15)

Business Model Innovation in the manufacturing sector
Business Model Innovation in the manufacturing sectorBusiness Model Innovation in the manufacturing sector
Business Model Innovation in the manufacturing sector
 
Aviation MRO Big Data & Advanced Analytics Industry Survey
Aviation MRO Big Data & Advanced Analytics Industry SurveyAviation MRO Big Data & Advanced Analytics Industry Survey
Aviation MRO Big Data & Advanced Analytics Industry Survey
 
Mobile Convention Amsterdam 2014 - GE - Peter van der Fluit
Mobile Convention Amsterdam 2014 - GE - Peter van der FluitMobile Convention Amsterdam 2014 - GE - Peter van der Fluit
Mobile Convention Amsterdam 2014 - GE - Peter van der Fluit
 
The Inside Story: GE Healthcare's Industrial Internet of Things (IoT) Archite...
The Inside Story: GE Healthcare's Industrial Internet of Things (IoT) Archite...The Inside Story: GE Healthcare's Industrial Internet of Things (IoT) Archite...
The Inside Story: GE Healthcare's Industrial Internet of Things (IoT) Archite...
 
Digital strategy to transform GE into digital industrial leader
Digital strategy to transform GE into digital industrial leaderDigital strategy to transform GE into digital industrial leader
Digital strategy to transform GE into digital industrial leader
 
Future of Retail #FutureOf
Future of Retail #FutureOfFuture of Retail #FutureOf
Future of Retail #FutureOf
 
Collaboration - Essential to Aviation MRO Innovation
Collaboration - Essential to Aviation MRO InnovationCollaboration - Essential to Aviation MRO Innovation
Collaboration - Essential to Aviation MRO Innovation
 
What's HOT, What's NOT, What's NEXT in AvMRO
What's HOT, What's NOT, What's NEXT in AvMROWhat's HOT, What's NOT, What's NEXT in AvMRO
What's HOT, What's NOT, What's NEXT in AvMRO
 
Aviation MRO IT: Emergence of SaaS and Convergence of BPO
Aviation MRO IT: Emergence of SaaS and Convergence of BPOAviation MRO IT: Emergence of SaaS and Convergence of BPO
Aviation MRO IT: Emergence of SaaS and Convergence of BPO
 
Digital readiness for customer experience in the airline industry - Accenture
Digital readiness for customer experience in the airline industry - AccentureDigital readiness for customer experience in the airline industry - Accenture
Digital readiness for customer experience in the airline industry - Accenture
 
Lisbon MRO Summit - Collaboration in Big Data Analytics
Lisbon MRO Summit - Collaboration in Big Data AnalyticsLisbon MRO Summit - Collaboration in Big Data Analytics
Lisbon MRO Summit - Collaboration in Big Data Analytics
 
PSFK presents the Mobile Commerce Playbook
PSFK presents the Mobile Commerce PlaybookPSFK presents the Mobile Commerce Playbook
PSFK presents the Mobile Commerce Playbook
 
Business Model Canvas 101
Business Model Canvas 101Business Model Canvas 101
Business Model Canvas 101
 
What Is A Business Model
What Is A Business ModelWhat Is A Business Model
What Is A Business Model
 
Venture Design Workshop: Business Model Canvas
Venture Design Workshop: Business Model CanvasVenture Design Workshop: Business Model Canvas
Venture Design Workshop: Business Model Canvas
 

Semelhante a Future of Manufacturing

ca-and-microsoft-are-collaborating-to-enable-the-iot-driven-application-economy
ca-and-microsoft-are-collaborating-to-enable-the-iot-driven-application-economyca-and-microsoft-are-collaborating-to-enable-the-iot-driven-application-economy
ca-and-microsoft-are-collaborating-to-enable-the-iot-driven-application-economy
Doug Antaya
 
Artificial intelligence capabilities overview yashowardhan sowale cwin18-india
Artificial intelligence capabilities overview yashowardhan sowale cwin18-indiaArtificial intelligence capabilities overview yashowardhan sowale cwin18-india
Artificial intelligence capabilities overview yashowardhan sowale cwin18-india
Capgemini
 

Semelhante a Future of Manufacturing (20)

Digital transformation in manufacturing
Digital transformation in manufacturingDigital transformation in manufacturing
Digital transformation in manufacturing
 
Digital transformation in the manufacturing industry
Digital transformation in the manufacturing industryDigital transformation in the manufacturing industry
Digital transformation in the manufacturing industry
 
Digital POV-Chemical Industries
Digital POV-Chemical IndustriesDigital POV-Chemical Industries
Digital POV-Chemical Industries
 
Connecting the dots – Industrial IoT is more than just sensor deployment
Connecting the dots – Industrial IoT is more than just sensor deploymentConnecting the dots – Industrial IoT is more than just sensor deployment
Connecting the dots – Industrial IoT is more than just sensor deployment
 
Enterprise Mobility Solutions for Manufacturing Industry
Enterprise Mobility Solutions for Manufacturing IndustryEnterprise Mobility Solutions for Manufacturing Industry
Enterprise Mobility Solutions for Manufacturing Industry
 
Supply chain for next generation
Supply chain for next generationSupply chain for next generation
Supply chain for next generation
 
Testing as a Service (TaaS) _ Utthunga.docx (10).pdf
Testing as a Service (TaaS) _ Utthunga.docx (10).pdfTesting as a Service (TaaS) _ Utthunga.docx (10).pdf
Testing as a Service (TaaS) _ Utthunga.docx (10).pdf
 
eBook-IoTPractice
eBook-IoTPracticeeBook-IoTPractice
eBook-IoTPractice
 
Happiest minds industrial iot capability
Happiest minds   industrial iot capabilityHappiest minds   industrial iot capability
Happiest minds industrial iot capability
 
Stepping into the Digital Future with IoT
Stepping into the Digital Future with IoTStepping into the Digital Future with IoT
Stepping into the Digital Future with IoT
 
Trends in Software Development for 2023
Trends in Software Development for 2023Trends in Software Development for 2023
Trends in Software Development for 2023
 
Subscribed 2015: The Explosion of Smart Connected Things
Subscribed 2015: The Explosion of Smart Connected ThingsSubscribed 2015: The Explosion of Smart Connected Things
Subscribed 2015: The Explosion of Smart Connected Things
 
Trends in Software Development for 2023
Trends in Software Development for 2023Trends in Software Development for 2023
Trends in Software Development for 2023
 
ca-and-microsoft-are-collaborating-to-enable-the-iot-driven-application-economy
ca-and-microsoft-are-collaborating-to-enable-the-iot-driven-application-economyca-and-microsoft-are-collaborating-to-enable-the-iot-driven-application-economy
ca-and-microsoft-are-collaborating-to-enable-the-iot-driven-application-economy
 
Internet of Things
Internet of ThingsInternet of Things
Internet of Things
 
Data Analytics in your IoT Solution Fukiat Julnual, Technical Evangelist, Mic...
Data Analytics in your IoT SolutionFukiat Julnual, Technical Evangelist, Mic...Data Analytics in your IoT SolutionFukiat Julnual, Technical Evangelist, Mic...
Data Analytics in your IoT Solution Fukiat Julnual, Technical Evangelist, Mic...
 
Artificial intelligence capabilities overview yashowardhan sowale cwin18-india
Artificial intelligence capabilities overview yashowardhan sowale cwin18-indiaArtificial intelligence capabilities overview yashowardhan sowale cwin18-india
Artificial intelligence capabilities overview yashowardhan sowale cwin18-india
 
Exploring the world of connected enterprises
Exploring the world of connected enterprisesExploring the world of connected enterprises
Exploring the world of connected enterprises
 
Miguel Angel Perdiguero - Head of BIG data & analytics Atos Iberia - semanain...
Miguel Angel Perdiguero - Head of BIG data & analytics Atos Iberia - semanain...Miguel Angel Perdiguero - Head of BIG data & analytics Atos Iberia - semanain...
Miguel Angel Perdiguero - Head of BIG data & analytics Atos Iberia - semanain...
 
IBM WebSphere Direction
IBM WebSphere DirectionIBM WebSphere Direction
IBM WebSphere Direction
 

Mais de PSFK

PSFK Presents the Future of Digital Safety & Security
PSFK Presents the Future of Digital Safety & SecurityPSFK Presents the Future of Digital Safety & Security
PSFK Presents the Future of Digital Safety & Security
PSFK
 

Mais de PSFK (20)

PSFK's Future of Retail 2020 Report - Summary Presentation
PSFK's Future of Retail 2020 Report - Summary PresentationPSFK's Future of Retail 2020 Report - Summary Presentation
PSFK's Future of Retail 2020 Report - Summary Presentation
 
Food Service Debrief
Food Service DebriefFood Service Debrief
Food Service Debrief
 
Loyalty Debrief
Loyalty DebriefLoyalty Debrief
Loyalty Debrief
 
Shopper Data Debrief
Shopper Data DebriefShopper Data Debrief
Shopper Data Debrief
 
Store Experience Design Debrief
Store Experience Design DebriefStore Experience Design Debrief
Store Experience Design Debrief
 
Occasion-Based Marketing Debrief
Occasion-Based Marketing DebriefOccasion-Based Marketing Debrief
Occasion-Based Marketing Debrief
 
Travel Debrief
Travel DebriefTravel Debrief
Travel Debrief
 
Digital Banking Playbook
Digital Banking Playbook Digital Banking Playbook
Digital Banking Playbook
 
AI Retail Playbook
AI Retail PlaybookAI Retail Playbook
AI Retail Playbook
 
PSFK CES 2018 Guide
PSFK CES 2018 GuidePSFK CES 2018 Guide
PSFK CES 2018 Guide
 
Forecast Z
Forecast Z Forecast Z
Forecast Z
 
Consumer 2020
Consumer 2020Consumer 2020
Consumer 2020
 
PSFK Impact Debrief: Brand Growth
PSFK Impact Debrief: Brand GrowthPSFK Impact Debrief: Brand Growth
PSFK Impact Debrief: Brand Growth
 
Future of Automotive Report
Future of Automotive ReportFuture of Automotive Report
Future of Automotive Report
 
PSFK Future of Work Report
PSFK Future of Work ReportPSFK Future of Work Report
PSFK Future of Work Report
 
PSFK CES Guide 2016
PSFK CES Guide 2016PSFK CES Guide 2016
PSFK CES Guide 2016
 
PSFK Future of Retail 2016 Summary Report
PSFK Future of Retail 2016 Summary ReportPSFK Future of Retail 2016 Summary Report
PSFK Future of Retail 2016 Summary Report
 
PSFK Presents the Future of Digital Safety & Security
PSFK Presents the Future of Digital Safety & SecurityPSFK Presents the Future of Digital Safety & Security
PSFK Presents the Future of Digital Safety & Security
 
PSFK + Architizer: Building Tomorrow
PSFK + Architizer: Building TomorrowPSFK + Architizer: Building Tomorrow
PSFK + Architizer: Building Tomorrow
 
PSFK The Maker's Manual - 2015 Update
PSFK The Maker's Manual - 2015 UpdatePSFK The Maker's Manual - 2015 Update
PSFK The Maker's Manual - 2015 Update
 

Último

ALCOHOL PRODUCTION- Beer Brewing Process.pdf
ALCOHOL PRODUCTION- Beer Brewing Process.pdfALCOHOL PRODUCTION- Beer Brewing Process.pdf
ALCOHOL PRODUCTION- Beer Brewing Process.pdf
Madan Karki
 

Último (20)

AI in Healthcare Innovative use cases and applications.pdf
AI in Healthcare Innovative use cases and applications.pdfAI in Healthcare Innovative use cases and applications.pdf
AI in Healthcare Innovative use cases and applications.pdf
 
ALCOHOL PRODUCTION- Beer Brewing Process.pdf
ALCOHOL PRODUCTION- Beer Brewing Process.pdfALCOHOL PRODUCTION- Beer Brewing Process.pdf
ALCOHOL PRODUCTION- Beer Brewing Process.pdf
 
SLIDESHARE PPT-DECISION MAKING METHODS.pptx
SLIDESHARE PPT-DECISION MAKING METHODS.pptxSLIDESHARE PPT-DECISION MAKING METHODS.pptx
SLIDESHARE PPT-DECISION MAKING METHODS.pptx
 
Operating System chapter 9 (Virtual Memory)
Operating System chapter 9 (Virtual Memory)Operating System chapter 9 (Virtual Memory)
Operating System chapter 9 (Virtual Memory)
 
Piping and instrumentation diagram p.pdf
Piping and instrumentation diagram p.pdfPiping and instrumentation diagram p.pdf
Piping and instrumentation diagram p.pdf
 
Raashid final report on Embedded Systems
Raashid final report on Embedded SystemsRaashid final report on Embedded Systems
Raashid final report on Embedded Systems
 
Worksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptxWorksharing and 3D Modeling with Revit.pptx
Worksharing and 3D Modeling with Revit.pptx
 
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
NO1 Best Powerful Vashikaran Specialist Baba Vashikaran Specialist For Love V...
 
Introduction to Artificial Intelligence and History of AI
Introduction to Artificial Intelligence and History of AIIntroduction to Artificial Intelligence and History of AI
Introduction to Artificial Intelligence and History of AI
 
"United Nations Park" Site Visit Report.
"United Nations Park" Site  Visit Report."United Nations Park" Site  Visit Report.
"United Nations Park" Site Visit Report.
 
Research Methodolgy & Intellectual Property Rights Series 2
Research Methodolgy & Intellectual Property Rights Series 2Research Methodolgy & Intellectual Property Rights Series 2
Research Methodolgy & Intellectual Property Rights Series 2
 
Geometric constructions Engineering Drawing.pdf
Geometric constructions Engineering Drawing.pdfGeometric constructions Engineering Drawing.pdf
Geometric constructions Engineering Drawing.pdf
 
Fuzzy logic method-based stress detector with blood pressure and body tempera...
Fuzzy logic method-based stress detector with blood pressure and body tempera...Fuzzy logic method-based stress detector with blood pressure and body tempera...
Fuzzy logic method-based stress detector with blood pressure and body tempera...
 
analog-vs-digital-communication (concept of analog and digital).pptx
analog-vs-digital-communication (concept of analog and digital).pptxanalog-vs-digital-communication (concept of analog and digital).pptx
analog-vs-digital-communication (concept of analog and digital).pptx
 
Artificial Intelligence in due diligence
Artificial Intelligence in due diligenceArtificial Intelligence in due diligence
Artificial Intelligence in due diligence
 
Lab Manual Arduino UNO Microcontrollar.docx
Lab Manual Arduino UNO Microcontrollar.docxLab Manual Arduino UNO Microcontrollar.docx
Lab Manual Arduino UNO Microcontrollar.docx
 
What is Coordinate Measuring Machine? CMM Types, Features, Functions
What is Coordinate Measuring Machine? CMM Types, Features, FunctionsWhat is Coordinate Measuring Machine? CMM Types, Features, Functions
What is Coordinate Measuring Machine? CMM Types, Features, Functions
 
Dynamo Scripts for Task IDs and Space Naming.pptx
Dynamo Scripts for Task IDs and Space Naming.pptxDynamo Scripts for Task IDs and Space Naming.pptx
Dynamo Scripts for Task IDs and Space Naming.pptx
 
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
NEWLETTER FRANCE HELICES/ SDS SURFACE DRIVES - MAY 2024
 
21scheme vtu syllabus of visveraya technological university
21scheme vtu syllabus of visveraya technological university21scheme vtu syllabus of visveraya technological university
21scheme vtu syllabus of visveraya technological university
 

Future of Manufacturing

  • 1.
  • 2. The Opportunity Physical And Digital Fusion Discrete manufacturers are doubling the percentage of connected products in the next three years. IDC MaturityScape: Manufacturing Service Innovation, 2016 Manufacturing costs will be reduced by 10-20% by advanced robotics, cobiotics, better OEE and staff flexibility. Digital Factories: The Renaissance of the US Automotive Industry. Fraunhofer Institute for Manufacturing Engineering and Automation (IPA), Roland Berge, 2016 73% of manufacturers state that cloud solutions had improved their level of insight into their businesses. 2016 State of Manufacturing Technology Report. Plex, 2016 Cloud computing for the supply chain will be worth $4.4 billion by 2019. “Supply Chain Management In The Cloud.” Accenture, 2016 Connected And Responsive
  • 3. 1. Accelerated Market Speeds 2. Modular Production Expectations 3. Data Dependent Operations 4. Proliferation Of E-Commerce Platforms Four Fundamental Shifts
  • 4. Mapping The Trends Along The Networked Supply Chain
  • 5. Connected Product Research And Development: The Opportunity With enhanced collaborative tools and real-time communication softwares, development teams have the ability to collaborate on product designs while reducing time to market and improving product longevity through actionable insights.
  • 6.
  • 7. The Impact: Powering Transformation With MicrosoftBusiness Decision Makers  Enlist real-time knowledge sharing platforms  Develop products based on market insights  Redesign product development processes based on collaboration  Implement reliable network solutions to connect remote parties  Democratize data sharing processes  Use real-time product development metrics for decision making  Integrate solutions to enable ongoing usage monitoring Information Technology Decision Makers Insight via Microsoft Power BI enables technical support teams to detect issues, track usage and diagnose crashes on mobile and web apps, allowing them to continually improve direct communication channels between customers. Azure IoT Suite allows R&D teams to place IoT data in the context of service data, enabling the creation of products that build upon the success of previous iterations and correct erroneous manufacturing decisions.
  • 8. Agile Production With Smart Equipment: The Opportunity To deliver custom products quickly and at-scale, manufacturers must have flexible production lines that can handle multiple product variations, while ensuring the right mix of materials and components are always on-hand.
  • 9.
  • 10. The Impact: Powering Transformation With MicrosoftBusiness Decision Makers  Invite the consumer into the creation process  Leverage real-time customer insights to predict marketplace demand  Enlist service-oriented equipment that can recognize a range of instructions  Enhance data-collection capabilities to enable ongoing system refinements Information Technology Decision Makers Predictive and Perceptual Intelligence via Cortana Intelligence helps dealers better infer customer needs and behavior, gain insights and create more meaningful customer experiences at a reduced cost. Dynamics CRM powers customer sales and relationship management, helping companies deliver exceptional customer experiences and create long- term relationships based on knowledge and trust.
  • 11. The Data-Driven Factory: The Opportunity In order to ensure efficient and safe operations throughout the factory, all components must be seamlessly interconnected, relying on data from previous operatives to inform daily operations and future tasks.
  • 12.
  • 13. The Impact: Powering Transformation With MicrosoftBusiness Decision Makers  Examine contextual factors alongside marketplace data to better plan for demand needs  Make infrastructure and technology investments with flexibility in mind  Deploy VR/AR technologies to assist in with the diagnosis of problems  Employ AI assistants to automate operational decision making Information Technology Decision Makers Data Analytics and Machine Learning via Cortana Intelligence allows manufacturers to leverage and process cloud data to inform new automated services. Cortana Intelligence helps to create a smarter factory environment through predictive and proactive maintenance, helping team members address problems before they arise.
  • 14. The Transparent Manufacturing Journey: The Opportunity By working diligently with end-to-end supply chain partners and distributors, and leveraging a flexible logistics network, manufacturers can meet the constantly fluctuating demands of their customers.
  • 15.
  • 16. The Impact: Powering Transformation With MicrosoftBusiness Decision Makers  Use RFID to track products’ location and quality throughout the supply chain  Diversify supply chain partners to enable greater flexibility or minimize disruption  Leverage blockchain ledgers to provide a secure way to track products  Use tracking systems that can react contextual changes Information Technology Decision Makers Azure Machine Learning is a fully managed cloud service that enables developers to build, deploy, manage and share predictive analytics in cloud-based application. Sharepoint via Microsoft Office 365 is a cloud-based solution that empowers organizations to share and collaborate with partners and colleagues throughout their organization in real time. With SharePoint Online, team members can access internal sites, documents and other information from anywhere, across multiple platforms.
  • 17. Uninterrupted Operations Through Responsive Maintenance: The Opportunity Large-scale manufacturers that deliver goods or services to a variety of locations can equip their products with the ability to communicate diagnostics and service statuses, giving central maintenance teams the ability to predict the impact of external forces on service or staffing needs.
  • 18.
  • 19. The Impact: Powering Transformation With MicrosoftBusiness Decision Makers  Use RFID to track products’ location and quality throughout the supply chain  Diversify supply chain partners to enable greater flexibility or minimize disruption  Leverage blockchain ledgers to provide a secure way to track products  Use tracking systems that can react contextual changes Information Technology Decision Makers Connected Field Service via Microsoft Dynamics helps enterprises move from a break-fix mode of maintenance to a proactive, highly efficient servicing model by allowing technicians to remotely monitor or perform troubleshooting to a fleet of assets. Remote Monitoring powered by Azure IoT Suite implements an end-to-end monitoring solution for businesses to manage multiple machines running in remote locations, while allowing organizations to modify solutions to meet their own needs.
  • 20. 4 Technologies Shaping Manufacturing 1. Big Data Analytics 2. Real-Time Communication Technologies 3. Cloud Connected Services 4. Sensor-Enabled Equipment
  • 21. • 5 future-forward scenarios • Key trends driving the manufacturing industry • 4 industry disruptors Expert insights and leading case studies • Actionable takeaways for business and IT decision makers • Quotes and insights from industry experts Download The Entire Future Of Manufacturing Report Featuring:

Notas do Editor

  1. Context: We are at the threshold of unprecedented value creation for industry and society, driven by the accelerating pace of change enabled through digital technology. Whether it is about bringing together patient records so they can be shared quickly for better patient outcomes, or changing the focus from disease management to wellness in healthcare, digital transformation is changing how we work and live. Called the Fourth Industrial Revolution, this significant disruption of traditional industries is fueled by speed, the falling cost of technology and how quickly companies are growing. There is broad agreement that the economic opportunity from digital transformation could be as high as $100 trillion across all industries over the next decade.   When we look at the future state of the automotive industry: we will reimagine how we build cars. We will reimagine how we buy cars. We will reimagine what it is to ‘own’ a car. We will democratize the automotive experience for billions of people across the world, and we will do this with our emerging digital capabilities. Digital will transform every aspect of the automotive industry from core operations (supply chain, manufacturing, dealerships/retail, service) to the entire value chain (service, aftermarket, financing, vehicle insurance).   Digital Transformation marks the inflection point where new technology becomes the central nervous system of the business, connecting sales, marketing, finance, HR, production, logistics and customer service, while changing forever how companies operate and people interact. The cloud, data analytics, artificial intelligence, augmented reality and other emerging technologies are the tools that enable new, improved and, sometimes, disruptive new business capabilities. It’s about combining those tools with business insight and techniques such as design-led thinking to examine a problem from a different perspective and envisage new opportunities.   Microsoft is partnering with automotive companies worldwide to provide the digital platform to help you to rethink the possibilities for human mobility. This report surfaces ‘what could be’ in the digital transformation of the automotive arena.
  2. Evolving Manufacturing Landscape: Manufacturers have been aware of the impeding force of the Fourth Industrial Revolution—the fusion of physical and digital manufacturing processes— for some time, but have nonetheless been hesitant to introduce their supply chains to digital frameworks. Thanks to advancements in cloud connected technologies and a reduced implementation cost, these technologies are more accessible and impose less of a risk for today’s industrial leaders to adopt. Connected Benefits: With today’s accelerated market pace, increased supply chain complexities and new patterns of consumer engagement, manufacturers need to replace traditionally siloed manufacturing practices with active, forward-thinking solutions. By leveraging connected manufacturing technologies, like IoT sensors and real-time communication software, in their supply chains, manufacturers can achieve better understanding of their operations and quickly respond to the needs of their customers and partners.
  3. Because today’s consumers have a wealth of products to choose from, they are actively searching for high quality items that are certain to bring value into their lives. Amidst this increasingly competitive environment, manufacturers are facing an increased pressure to output new, innovative creations at scale, which means that every stage of product development needs to be quick, agile and research-informed.   Modern manufacturing networks have been partially automated for some time, helping accelerate production lines and manufacturing processes. However, with an influx of bespoke designs and customizable parts, manufacturers not only need to enable mass production, but also mass customization. Manufacturers with an intimate knowledge of their operations are far more capable of refining or adjusting their operations than those who don’t. With an influx of cloud-connected technologies, manufacturers are switching their approach from reactive to active solutions.   The monolithic rise of digital purchasing channels has disrupted typical fulfillment and delivery logistics. Now, manufacturers must take into consideration a new node of production factors—from additional fulfillment channels to alternative warehousing distributions.  
  4. Because today’s consumers have a wealth of products to choose from, they are actively searching for high quality items that are certain to bring value into their lives. Amidst this increasingly competitive environment, manufacturers are facing an increased pressure to output new, innovative creations at scale, which means that every stage of product development needs to be quick, agile and research-informed.   Modern manufacturing networks have been partially automated for some time, helping accelerate production lines and manufacturing processes. However, with an influx of bespoke designs and customizable parts, manufacturers not only need to enable mass production, but also mass customization. Manufacturers with an intimate knowledge of their operations are far more capable of refining or adjusting their operations than those who don’t. With an influx of cloud-connected technologies, manufacturers are switching their approach from reactive to active solutions.   The monolithic rise of digital purchasing channels has disrupted typical fulfillment and delivery logistics. Now, manufacturers must take into consideration a new node of production factors—from additional fulfillment channels to alternative warehousing distributions.  
  5. (For Research and Development teams, the road to creating a successful product means communication with both ends of the supply chain—from raw material vendors to customers purchasing the finished product.)  Katelyn, the lead product developer of a tire manufacturer, has been tasked with designing an all-weather tire that utilizes the company’s latest material formulation. (Left Illustration) Katelyn uses a combination of social listening tools and analytics about customer usage to develop three digital prototypes. She runs a remote meeting with her international engineering and supply teams to conduct a cost benefit analysis of material sourcing and decide while new vendors to bring onboard. (Right illustration) After QA tests and approves a final design, the digital prototype is delivered to the production team, who readies it for full-scale production. The production team implements a telemetry system into the tire which allows Katelyn’s R&D team to implement ongoing insights or produce updated components that are derived from usage data.  
  6. (For Research and Development teams, the road to creating a successful product means communication with both ends of the supply chain—from raw material vendors to customers purchasing the finished product.)  Katelyn, the lead product developer of a tire manufacturer, has been tasked with designing an all-weather tire that utilizes the company’s latest material formulation. (Left Illustration) Katelyn uses a combination of social listening tools and analytics about customer usage to develop three digital prototypes. She runs a remote meeting with her international engineering and supply teams to conduct a cost benefit analysis of material sourcing and decide while new vendors to bring onboard. (Right illustration) After QA tests and approves a final design, the digital prototype is delivered to the production team, who readies it for full-scale production. The production team implements a telemetry system into the tire which allows Katelyn’s R&D team to implement ongoing insights or produce updated components that are derived from usage data.  
  7. (Left side) Business Decision Makers Identify time consuming or inefficient communication methods and replace them with real-time knowledge sharing platforms Enable the development of products or services based on market insights or innovative thinking Redesign product development processes based on collaboration and agility Information Technology Decision Makers Develop and implement reliable network solutions that connect remote parties and enable seamless idea sharing Improve and democratize data processing analyses that support development team ideation Analyze real-time product development metrics for advanced decision making and visibility Integrate solutions into end-products that enable the ongoing monitoring of usage and performance to inform refinements and future product development (Right side)  
  8. (Rigid production lines excel at crafting uniform, standardized products—but more often, customers are expecting to have the option to customize their products or request something different than what is offered to them.) David, the supply chain manager of a shoe manufacturer, must account for custom orders created by customers on the brand’s website. In order to meet the demands of bespoke product creation while ensuring minimal time to fulfillment, David must be able to manage a flexible inventory of raw materials to handle multiple shoe variations, while ensuring enough supplies are on hand to support mainstream production runs. (Right Illustration) A group of customers submit their bespoke sneaker designs using the brand’s digital creation software that enables them to choose from a variety of styles, materials and colors. (Left Illustration) These custom designs are communicated directly to the manufacturing plant, where an AI-powered platform manages the custom requests as they come in and provides appropriate instructions to the necessary equipment. Thanks to cloud connected hardware, manufacturing operations are able to seamlessly produce one-off creations, alongside their mass production lines. As these customer orders come off the production line, they are packaged with RFID tags and sent to a packaging center. This generates an automatic email for each customer that includes a link to view the status of their shipment and a picture of the finished product.
  9. (Rigid production lines excel at crafting uniform, standardized products—but more often, customers are expecting to have the option to customize their products or request something different than what is offered to them.) David, the supply chain manager of a shoe manufacturer, must account for custom orders created by customers on the brand’s website. In order to meet the demands of bespoke product creation while ensuring minimal time to fulfillment, David must be able to manage a flexible inventory of raw materials to handle multiple shoe variations, while ensuring enough supplies are on hand to support mainstream production runs. (Right Illustration) A group of customers submit their bespoke sneaker designs using the brand’s digital creation software that enables them to choose from a variety of styles, materials and colors. (Left Illustration) These custom designs are communicated directly to the manufacturing plant, where an AI-powered platform manages the custom requests as they come in and provides appropriate instructions to the necessary equipment. Thanks to cloud connected hardware, manufacturing operations are able to seamlessly produce one-off creations, alongside their mass production lines. As these customer orders come off the production line, they are packaged with RFID tags and sent to a packaging center. This generates an automatic email for each customer that includes a link to view the status of their shipment and a picture of the finished product.
  10. (Left side) Business Decision Makers Identify time consuming or inefficient communication methods and replace them with real-time knowledge sharing platforms Enable the development of products or services based on market insights or innovative thinking Redesign product development processes based on collaboration and agility Information Technology Decision Makers Develop and implement reliable network solutions that connect remote parties and enable seamless idea sharing Improve and democratize data processing analyses that support development team ideation Analyze real-time product development metrics for advanced decision making and visibility Integrate solutions into end-products that enable the ongoing monitoring of usage and performance to inform refinements and future product development (Right side)  
  11. (From Internet of Things sensors to cloud infrastructures, it’s easier than ever for manufacturers to gather information about their daily operations. With this knowledge in hand, production managers can obtain ongoing analyses to identify bottlenecks in their factories or inform them of inefficient operations.) (Left) Martha, the manager of a manufacturer’s North American operations, must review and adjust the production flow of multiple factories in order to accommodate expected demand shifts. With a target number in place, Martha and her team perform a data-audit of ongoing operations across their network of factories to identify and troubleshoot inefficiencies. (Right) While the factories are already operating on a continuous schedule, Martha analyzes worker data from connected cameras and wearable devices to understand performance metrics over the course of a typical eight-hour shift. After identifying productivity drop-offs after six hours among certain skilled assembly positions, Martha determines that it’s best to flex workers around these jobs to improve overall performance.
  12. (From Internet of Things sensors to cloud infrastructures, it’s easier than ever for manufacturers to gather information about their daily operations. With this knowledge in hand, production managers can obtain ongoing analyses to identify bottlenecks in their factories or inform them of inefficient operations.) (Left) Martha, the manager of a manufacturer’s North American operations, must review and adjust the production flow of multiple factories in order to accommodate expected demand shifts. With a target number in place, Martha and her team perform a data-audit of ongoing operations across their network of factories to identify and troubleshoot inefficiencies. (Right) While the factories are already operating on a continuous schedule, Martha analyzes worker data from connected cameras and wearable devices to understand performance metrics over the course of a typical eight-hour shift. After identifying productivity drop-offs after six hours among certain skilled assembly positions, Martha determines that it’s best to flex workers around these jobs to improve overall performance.
  13. (Left side) Business Decision Makers Identify time consuming or inefficient communication methods and replace them with real-time knowledge sharing platforms Enable the development of products or services based on market insights or innovative thinking Redesign product development processes based on collaboration and agility Information Technology Decision Makers Develop and implement reliable network solutions that connect remote parties and enable seamless idea sharing Improve and democratize data processing analyses that support development team ideation Analyze real-time product development metrics for advanced decision making and visibility Integrate solutions into end-products that enable the ongoing monitoring of usage and performance to inform refinements and future product development (Right side)  
  14. (With higher expectations to meet market demands with faster delivery times, manufacturers need to identify opportunities to implement agile supply chain practices without sacrificing the quality of their products.) For the highly anticipated launch of their latest smartphone, a mobile device manufacturer isintegrating new microchips with faster processing power and a brand new form factor. To make this happen, the company’s development coordinator, Cheyenne must work across her global production and distribution centers to bring new vendors into their supply chain and work with existing partners to implement changes. (Left) During the shipping process to Cheyenne’s factory, several pallets of microchips are exposed to extreme temperatures, which will likely impact their viability. Phil and Cheyenne are immediately alerted to the issue with the number of units affected. (Right) As material shipments are received at the factory, they are allocated to the production line with the goal of holding limited inventory in the warehouse to keep costs at a minimum. Through a single interface, Cheyenne can see where a particular materials are in the supply chain in real-time and how this impacts production targets. As finished phones come off of the production line, they are automatically distributed to retail partners with additional stock directed to regional warehouses where demand is highly forecasted at launch.
  15. (With higher expectations to meet market demands with faster delivery times, manufacturers need to identify opportunities to implement agile supply chain practices without sacrificing the quality of their products.) For the highly anticipated launch of their latest smartphone, a mobile device manufacturer isintegrating new microchips with faster processing power and a brand new form factor. To make this happen, the company’s development coordinator, Cheyenne must work across her global production and distribution centers to bring new vendors into their supply chain and work with existing partners to implement changes. (Left) During the shipping process to Cheyenne’s factory, several pallets of microchips are exposed to extreme temperatures, which will likely impact their viability. Phil and Cheyenne are immediately alerted to the issue with the number of units affected. (Right) As material shipments are received at the factory, they are allocated to the production line with the goal of holding limited inventory in the warehouse to keep costs at a minimum. Through a single interface, Cheyenne can see where a particular materials are in the supply chain in real-time and how this impacts production targets. As finished phones come off of the production line, they are automatically distributed to retail partners with additional stock directed to regional warehouses where demand is highly forecasted at launch.
  16. (Left side) Business Decision Makers Identify time consuming or inefficient communication methods and replace them with real-time knowledge sharing platforms Enable the development of products or services based on market insights or innovative thinking Redesign product development processes based on collaboration and agility Information Technology Decision Makers Develop and implement reliable network solutions that connect remote parties and enable seamless idea sharing Improve and democratize data processing analyses that support development team ideation Analyze real-time product development metrics for advanced decision making and visibility Integrate solutions into end-products that enable the ongoing monitoring of usage and performance to inform refinements and future product development (Right side)  
  17. (With higher expectations to meet market demands with faster delivery times, manufacturers need to identify opportunities to implement agile supply chain practices without sacrificing the quality of their products.) For the highly anticipated launch of their latest smartphone, a mobile device manufacturer isintegrating new microchips with faster processing power and a brand new form factor. To make this happen, the company’s development coordinator, Cheyenne must work across her global production and distribution centers to bring new vendors into their supply chain and work with existing partners to implement changes. (Left) During the shipping process to Cheyenne’s factory, several pallets of microchips are exposed to extreme temperatures, which will likely impact their viability. Phil and Cheyenne are immediately alerted to the issue with the number of units affected. (Right) As material shipments are received at the factory, they are allocated to the production line with the goal of holding limited inventory in the warehouse to keep costs at a minimum. Through a single interface, Cheyenne can see where a particular materials are in the supply chain in real-time and how this impacts production targets. As finished phones come off of the production line, they are automatically distributed to retail partners with additional stock directed to regional warehouses where demand is highly forecasted at launch.
  18. (With higher expectations to meet market demands with faster delivery times, manufacturers need to identify opportunities to implement agile supply chain practices without sacrificing the quality of their products.) For the highly anticipated launch of their latest smartphone, a mobile device manufacturer isintegrating new microchips with faster processing power and a brand new form factor. To make this happen, the company’s development coordinator, Cheyenne must work across her global production and distribution centers to bring new vendors into their supply chain and work with existing partners to implement changes. (Left) During the shipping process to Cheyenne’s factory, several pallets of microchips are exposed to extreme temperatures, which will likely impact their viability. Phil and Cheyenne are immediately alerted to the issue with the number of units affected. (Right) As material shipments are received at the factory, they are allocated to the production line with the goal of holding limited inventory in the warehouse to keep costs at a minimum. Through a single interface, Cheyenne can see where a particular materials are in the supply chain in real-time and how this impacts production targets. As finished phones come off of the production line, they are automatically distributed to retail partners with additional stock directed to regional warehouses where demand is highly forecasted at launch.
  19. (Left side) Business Decision Makers Identify time consuming or inefficient communication methods and replace them with real-time knowledge sharing platforms Enable the development of products or services based on market insights or innovative thinking Redesign product development processes based on collaboration and agility Information Technology Decision Makers Develop and implement reliable network solutions that connect remote parties and enable seamless idea sharing Improve and democratize data processing analyses that support development team ideation Analyze real-time product development metrics for advanced decision making and visibility Integrate solutions into end-products that enable the ongoing monitoring of usage and performance to inform refinements and future product development (Right side)  
  20. 1. Cloud Connectivity & IoT Technologies are the backbone for a new generation of connected manufacturing and prescient maintenance capabilities. By implementing Internet of Things technologies into service equipment, manufacturers can enable remote servicing, enhance customization capabilities and democratize operative information throughout all the supply chain. 2. Big Data Analytics empower manufacturers with the knowledge of service history and behavioral patterns, allowing businesses to take advantage of operations or practices that have tangible evidence of success. By leveraging data analytics or pattern recognition software, manufacturers can translate troves of data into actionable insights. 3. Machine Learning is not only accelerating the path towards ultra-efficiency, but is paving the road towards a new generation of manufacturing-as-service subscription models. As consumer packaged goods companies and retailers are seeking opportunities to build unique, custom products at scale, machine learning makes this process financially achievable by allowing equipment to seamlessly recognize specific instructions. 4. Real-Time Communication Technologies enable multiple teams, remote or cross industry partners to share ideas or collaborate on virtual projects. By accelerating collaboration capabilities, research and development teams can reduce development cycles, lower product development costs or quickly implement new operational features.  
  21. To learn more about the work presented, download the full Kickstart: Automotive Report created in partnership with innovation think tank PSFK. The report brings to life the future state of the automotive industry and presents various opportunities for driving business forward in a mobile-first world including: -Five future-forward connected driving scenarios  -Key trends driving the automotive industry   -Four industry disruptors shaping new mobility  -Expert insights and case studies for digital transformation  -Actionable takeaways for manufacturers, OEMs and dealers  The report will help enterprise partners understand how cloud-based solutions can transform their businesses in order to drive new levels of service throughout the entire value chain.