The Product Data Intelligence CompanyThe Product Data Intelligence Company
Technology and the connected
manufacturing industryChris Jones, Actify Inc.
The Product Data Intelligence Company
02/05/2023 © 2016 Actify, Inc. All rights reserved 2
Chris Jones
• A brief introduction
1
2
3
Over 30 years of experience in the CAD/PLM industry
Previously - President of European operations for SmarTeam (PLM solution)
President and CEO of Actify Inc. The Product Data Intelligence Company
The Product Data Intelligence Company
Actify Inc.– A brief introduction
Founded in 1996, Actify as a company is 100% focussed on delivering solutions to the discrete manufacturing industry that revolutionises the way product data is managed and shared across the enterprise and throughout the development life cycle.
The Product Data Intelligence Company
Overview
• How did we get here? – A quick history lesson• State of the manufacturing industry• Disruptive technology innovations for manufacturing
• Prevalent Industry trends• Review Gartner Hype Cycle• The Internet of Things (IoT), Industry 4.0
• Industry challenges that next generation technology seeks to solve
• And, Where to start, where to go from here…
The Product Data Intelligence Company
Technological Advances
- Digital and technology drivers- Changing priorities, worker skill
mix- Smart connected products- Internet of things (IoT)/ industry
4.0(internet, iPhone, cloud computing)
Click icon to add pictureHow did we get here?
Economic Pressures
- Eliminate every discretionary cost- Supply chain pressures- Negotiating maintenance/supply contracts- Accepting ‘good enough’ infrastructure- Upgrading and replacing, a heavily scrutinized decision- Lowering costs by lowering complexity
The Product Data Intelligence Company
State of the manufacturing industry
2008 – Present• Trying to do more with less. Many have less staff due to
economic cost cutting.• CIO’s sought to extract more business productivity and value
from their existing or new technology stack.• Not paying for redundant software
• Demanding that suppliers get ‘skin in the game’ to drive value.• Why should we pay up-front?
• Tech-driven productivity improvements are preferred to over staffing to stay competitive and revive business.
The Product Data Intelligence Company
State of the manufacturing industry today
Process Complexity Vs Process Variability
Complexity is increasing.- Manufacturing technology is more elaborate
- Operating complex systems and tools- Current workforce is skilled, can manage complexity
- Humans are very good at repeating a process
Variability is difficult to manage.- Customers product variability
- Orientation, feature mix, size color, etc- Variability can be confusing resulting in errors
- Variability drives up the cost of delivering quality
The Product Data Intelligence Company
Flexibility has become one of the most useful and necessary weapons in many of today's competitive markets… it can be assumed that flexibility is most likely to come at a price.”Journal of Manufacturing Technology
Management
The Product Data Intelligence Company
02/05/2023 © 2016 Actify, Inc. All rights reserved 9The Product Data Intelligence Company
Disruptive technology innovations for manufacturing
The Product Data Intelligence Company
Business Intelligence helps find answers to questions you know. Big Data helps you find the questions you don’t know you want to ask.”Eric D. Brown, D.Sc. (2015)
Disruptive technology innovations for manufacturing
The Product Data Intelligence Company
The Creation of Data
• Manufacturing are behind the curve• Retail• Banking• Insurance
Time
Data Volume
The Product Data Intelligence Company
Disruptive technology innovations for manufacturing
Prevalent Industry trends- ‘Big Data’ - Analytics (predictive & prescriptive)- Business Intelligence (BI)- The Internet of Things (IoT) / Industry 4.0
The Product Data Intelligence Company
Gartner Hype Cycle for Discrete Manufacturing and PLM, 2015
The Product Data Intelligence Company
Disruptive technology innovations for manufacturing
Key technology innovations and drivers• The Internet of Things (IoT), Enterprise Manufacturing Intelligence.
Industry 4.0• Shifting requirements for designing, producing and servicing
products• Emerging new cloud based IT serving manufacturing and Product
Data Management needs• New business models for discrete manufacturers.
• These technology drivers are therefore changing priorities • and the mix of skills that designers, engineers and manufacturing
professionals need• Plus a global shortage of Engineers
The Product Data Intelligence Company
Disruptive technology innovations for manufacturing
4 basic ‘IoT’ information exchanges and industry use cases:
Telemetry
Hardware servicing(Fault prevention)
Formula 1Financial Products - ATM
Inquiries
Transportation(Check for optimum route)
Google MapsTomTom
Commands
Remote Control(Unlock a device)
‘Nest’ - control devices(Smart home app)
Notifications
Alert Message(Road temperature)
News alertPush notification
(Email, Text SMS, app)
The Product Data Intelligence Company
Industry challenges that next generation technology seeks to solve
• Supporting an increased ability to collaborate and innovate.
• Support manufacturer’s ability to continuously improve product relevance, quality and availability.
• Improved forecasting of products and production• Enhanced service and faster support of customers
All at cost effect levels
The Product Data Intelligence Company
Industry challenges that next generation technology seeks to solve
• Real-time decisions and alerts based on manufacturing data
• Integrated manufacturing systems and business performance information for insights and improved decision making
• Rationalization of data across multiple sites and multiple regions
• Analysis of supplier performance and better interaction and negotiations with suppliersThe mashing of data from multiple sources
and locations
The Product Data Intelligence Company
Key Takeaways
• Technology that overcomes Multi-Facility, Multi-Region Record Keeping.
• Software companies need to catch up• Traditional suppliers are slipping
• Exposing Manufacturing and PLM Challenges (not fully cradle to grave product lifecycle data collection)
• Exposing limitations of home-grown management/business systems.• Greater focus
• Do what you do• Benefits of implementing next generation technology for
manufacturing organizations.• Clear ROI that is risk shared
The Product Data Intelligence Company
Where to go from here?
The steps to greater enterprise visibility:- Improved asset visibility- Improved process visibility- Disparate data visibility- Implementing controls and tools to react and respond to
opportunities and insights identified through a connected manufacturing infrastructure.
The Product Data Intelligence CompanyThe Product Data Intelligence Company
Thank you!Chris Jones(Actify Inc)
Top Related