Agenda
30th Sep – 1st Oct 2024, Berlin
DAY 1
08:00 - 08:50
REGISTRATION
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 - 09:30
Brownfield Goes Digital: On the Path to a Smart Factory"
- Transform a traditional brown field plant into a digital plant
- Empowering and train people to do transformation
- Mindset is key for smart manufacturing
- Traceability as backbone for data analytic
- Digital twin and AI as enabler for zero failure strategy.
09:30 - 10:00
Hoshin Kanri strategy implementation methodology: how to implement successfully
- What is Hoshin Kanri
- How to link to existing corporate strategies
- How to cascade down from top management level to shop floor level
- What is best roadmap to implement
- What are the key success factors?
10:00 - 10:30
Smart factory transformation as a key enabler for sustainable manufacturing
- Moving towards sustainable value chains – How are manufacturers dealing with sustainability questions?
- Importance of Smart Factories growing – What are the key elements of successful smart factory transformation?
- PwC Factory Intelligence accelerates Smart Factory journey – How did Tier 1 automotive supplier transform their global manufacturing
10:35 - 11:25
COFFEE BREAK
11:30 - 12:00
From insight to impact: unlocking opportunities in manufacturing data
- Understanding the why and how of data driven manufacturing
- IT trends that are important for manufacturers
- Developing a model to support data driven manufacturing
- Towards a single source of truth
- One size does not fit all – a deeper look at location intelligence
12:00 - 12:30
GLOBAL DIGITAL TRANSFORMATION ROADMAP AND ARCHITECTURE – LESSONS-LEARNT AND OPPORTUNITIES AHEAD
- Driver for digital transformation, digitalization roadmap and the importance of MES on the journey
- How to keep MES in the centre of your shopfloor
- MES lifecycle management and its impact on manufacturing sites
- How to align digitalization processes on a local and global level
- Leveraging technologies that enable and accelerate new business opportunities and capabilities for the Factory of the Future
12:30 - 13:00
Production Data Integration – Practical Example
- Starting Point: Immediate Needs in Data Capture and Data Analysis
- Progression: Reporting and Accounting – Impact of Data Structure and Metadata Management
- Next Stage: Visualizations, Artificial Intelligence, and Inter-System Integration
- Continuous Operation: Importance of a Solid Data Structure, Data Validation and Plausibility Checks in System Integration
PLANNED INVESTMENT AREAS
- Continuous Improvement / OPEX
- Industry 4.0
- COVID-19
- Lean Methodologies
- Connected Worker
- Workforce Training & Development
- Sustainability & ESG Software
- Digital/Software Adoption
- Workflow and Process Automation
- Project & Resource Management
- Additive Manufacturing / Factory-as-a-Service
- Connected Factory
- Net Zero
- Cybersecurity
- MES / Shop-floor Digitization
- Machine Learning
- Digital Twin
- M2M Communication
- Remote Working
- Plant / Workforce Safety
- Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Performance Management (APM 4.0)
- Artificial Intelligence
- Digital Technologies
- Predictive Analytics / Condition Monitoring
- Green Manufacturing Practices & Initiatives
- Cloud Computing & Sensors
- Asset Management
- Data Analytics / Big Data / Data Management
13:00 - 13:45
LUNCH
13:45 - 14:15
A Comprehensive Framework for Process Digitalization and Application Development for Manufacturing Organizations
- Developing a Digitalization Strategy
- Business Process Management in Manufacturing
- No-Code/Low-Code Apps Integration
- Custom Application Development
- Standard Software Implementation
14:15 - 14:45
Transforming traditional industries, the importance of a solid data foundation and change management
- Unveiling the Power of Tradition: Exploring the strengths of established industries and how data can amplify these advantages
- Demystifying Data Foundations: Breaking down the process of constructing a robust data infrastructure within traditional sectors
- Striking the Balance: Strategies for harmonizing value creation initiatives with the establishment of a data-centric culture
- Case Studies in Transformation: Real-world examples showcasing how data can revolutionize traditional industry practices
- Navigating Challenges: Addressing common hurdles and misconceptions when implementing data-driven approaches in legacy sectors
14:45 - 15:15
Matrix production system - A changeable and resilient production system
- Today’s challenges and demand for new production systems
- Concept of matrix production systems
- Insights into practice
- Implementation of matrix production systems
15:15 - 15:45
Can Agile Bridge the Operations/IT Divide
- The traditional Business and IT relationship
- How agile methodology can replace the typical URS and waterfall project plan
- The Power of User Story Mapping
- Development Life Cycle
- The benefits of release planning
- Decentralising Development into the Business
15:45 - 16:25
COFFEE BREAK
16:30 - 17:00
‘Humanizing industry 4.0.’ How to succesfully accelerate the journey of People, Processes, Digital and Sustainability
- Solvace offers an all-in-one platform for operational excellence
- Industry 4.0 is the fourth stage of industrial revolution, merging physical assets with advanced technologies
- This fusion enables data communication, analysis, and processing for improved manufacturing and supply chains
- Connectivity under Industry 4.0 allows AI and IoT integration for enhanced automation and real-time data utilization
- Resultant flexibility and responsiveness empower intelligent, data-driven decision-making
- Industry 4.0 expands business potential from products to service-based revenue streams
- The connected organization evolution has become a reality, prompting the question: What’s the next step?
17:00 - 17:30
How a Zero Loss mindset transforms your performance, your processes and your people
- Learn about Milliken’s extensive 30 year history of working with a Zero Loss mindset
- See the results achieved and the transformation in culture exhibited
- Learn how the process works step by step and witness client case studies in action
- Meet with Senior Leadership to hear how the Milliken team can support your business in the Zero Loss transformation
PLANNED INVESTMENT AREAS
- Continuous Improvement / OPEX
- Industry 4.0
- COVID-19
- Lean Methodologies
- Connected Worker
- Workforce Training & Development
- Sustainability & ESG Software
- Digital/Software Adoption
- Workflow and Process Automation
- Project & Resource Management
- Additive Manufacturing / Factory-as-a-Service
- Connected Factory
- Net Zero
- Cybersecurity
- MES / Shop-floor Digitization
- Machine Learning
- Digital Twin
- M2M Communication
- Remote Working
- Plant / Workforce Safety
- Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Performance Management (APM 4.0)
- Artificial Intelligence
- Digital Technologies
- Predictive Analytics / Condition Monitoring
- Green Manufacturing Practices & Initiatives
- Cloud Computing & Sensors
- Asset Management
- Data Analytics / Big Data / Data Management
17:30 - 18:00
From technology to product focus: What are the business opportunities in AM
- Overview of Additive Manufacturing Technology
- Business and Use cases of AM in various industries
- How to Identify your AM potential
- Current Hurdles of AM implementation and How to over come
18:00 - 19:00
DRINKS RECEPTION
Day 2
08:55 – 09:00
CHAIRPERSON’S OPENING REMARKS
09:00 – 09:30
Making Data available - the key to a successful Digital Transformation
- Data Management – today and tomorrow
- Why is data availability so important?
- Key challenges to start the transition
- Good practises to make data available
09:30 – 10:00
AI Systems Engineering in the context of dataspaces
- Presentation and discussion of the emerging discipline of AI Systems Engineering
- Dataspaces – definition, specific characteristics and examples (e.g. Catena-X)
- Relevance of digital twin systems and Industrie 4.0
- How does this all fit together?
- Strategic technological and architectural considerations
10:00 - 10:30
AI: how to get from artificial to tangible value
- Machine Learning in the Industrial Context
- From Raw Data to Rich Insights: how to create a 360-degree view of your processes
- Combining different elements of intelligence
- How analytics can identify bottlenecks, streamline operations, and maximize resource utilization, leading to substantial cost savings
10:35 - 11:25
COFFEE BREAK
11:30 – 12:00
Digital manufacturing Transformation in Danone
- Digital Manufacturing Acceleration in a nutshell, unique approach to deliver holistic result.
- Recipe of successful program: Mixture of right ingredients
- Searching for digital use cases – Digital compass
- Catalogue solutions – Knowledge library
- Innovation process
- Impact tracking
- Success factors of the program
12:00 – 12:30
Digitalization needs scalability, performance and skills to create value
- Digitalization requires an approach that makes it future proof looking at the whole potential architecture with its functionalities to create potential value
- The operational teams needs to create benefits that will amortize the cost of the solution
- The challenges are often very specific thus the need for scalability to manage cost of the solution
- Bridging OT and IT is key to create meaningful insights and take appropriate counter measures
- Simualtion, machine learning, data management are some of the key methods required to effectively solve the challenges manufacturers are facing
12:30 – 13:00
Successfully Mastering Digital Transformation in Manufacturing with MES Solutions from the Smart Factory Experts @ FORCAM-ENISCO
- Data-Driven Manufacturing
- Successful integration of shop floor and top floor
- Transparency in Manufacturing with solutions by FORCAM-ENISCO
- Solution Examples and Benefits
PLANNED INVESTMENT AREAS
- Continuous Improvement / OPEX
- Industry 4.0
- COVID-19
- Lean Methodologies
- Connected Worker
- Workforce Training & Development
- Sustainability & ESG Software
- Digital/Software Adoption
- Workflow and Process Automation
- Project & Resource Management
- Additive Manufacturing / Factory-as-a-Service
- Connected Factory
- Net Zero
- Cybersecurity
- MES / Shop-floor Digitization
- Machine Learning
- Digital Twin
- M2M Communication
- Remote Working
- Plant / Workforce Safety
- Wireless Connectivity
- Cloud, Edge & IoT Data Management
- Asset Performance Management (APM 4.0)
- Artificial Intelligence
- Digital Technologies
- Predictive Analytics / Condition Monitoring
- Green Manufacturing Practices & Initiatives
- Cloud Computing & Sensors
- Asset Management
- Data Analytics / Big Data / Data Management
13:00 - 13:55
LUNCH
14:00 – 14:30
Wärtsilä OSME – From Digital Manufacturing to Smart Connected Networked Ecosystem
- Digital Transformation with right focus – Focus on common problems not technologies
- Technology as enabler not main driver – The 3 pillars for manufacturing innovation and evolution
- The power of sharing and cocreation – Sharing Technologies, knowledge and competencies
- Keeping the focus on people and establishing networked collaborations with new mindset
- The complementary leadership approach as key to a sustainable and resilient growth
- The power of extended networks enhanced by data – AI with an human centric approach
14:30 - 15:00
Making Digital Transformation right with focus on People
- People, Process, Technology approach in JCI’s Digital Transformation
- Johnson Controls Management System (JCMS) as a roadmap for Lean & Digital Journey
- Digital Leads network – human & skills-centric approach to Digital Transformation
- Democratising access to technology in JCI’s manufacturing plants
- Big & small digitalization – creating roadmap for the future and covering temporary “digital gap”
15:00 – 15:30
Opportunities of IoT for Smart Manufacturing
- Many companies want to start with a first IoT prototype implementation for smart manufacturing, but are not sure how this can be done in a cost and time efficient manner
- There are so many buzzword out there in the IoT domain, that it is really cumbersome to find out what technology is relevant for a prototype
- It will be also explained what e.g. Edge Computing, Streaming Ingest, Data Enrichment, Immutable Data Store means and how it can be used
- Finally it will be shown how a first IoT prototype can be built from scratch, following the principle “Start small, succeed fast, extend step-by-step”