Industrie 4.0 Zero Error Production with Intelligence Networked Factories

Similar documents
Fujitsu Value Proposition for Manufacturing Industry. Enabling Digital with Connected Enterprise

National Industrial Strategy Saudi Industrial Strategy in light of Petroleum Industry Reforms

The contribution of IoT in process manufacturing

Fujitsu Value Proposition for Manufacturing Industry. Enabling Digital with Connected Enterprise

Digital / Service Hub Introduction to the Working Group. Thomas Hanke, FOM University

INUDSTRY 4.0 SMART FACTORY

Fujitsu Value Proposition for Manufacturing Industry. Enabling Digital with Connected Enterprise

Industrial. Grundfos use case om Industry 4.0 Big Data cloud arkitektur for IIoT, predictive analytics og Rigtig Industry 4.0

Reimagine Your Business with Digital Transformation IoT Regional Forum Sao Paulo

Digitalization to enable the Future of Manufacturing

Why Connecting to the Internet of Things Project List

Smart #1 SMT Factory Our Smart Move to Industry 4.0 Sunil Chhabra, ASM Assembly Systems

Elisa IoT. From idea to a product in weeks

Ian Ashby. Senior Vice President Global Support. Epicor Software Corporation

Digitalization in the Textile Industry. Restricted Siemens AG 2018

We empower Hidden Champions

Customer Benefits by Cyber-Physical Systems

Re-thinking and empowering operations in a digital world! Sebastian Seutter Director Strategy and Business Development

Outthink Complexity with Industrie 4.0 Pilot Project at John Deere Werk Mannheim, Germany

Industry 4.0.

Ventana Research Marketing Research in 2017

IoT ENABLED INTELLIGENT FLEET MANAGEMENT. Kalman Tiboldi Chief Business Innovation Officer

Internet of Things and Industry 4.0 facilitating the future of Manufacturing

Business Decision-Making in the Factory of the Future. An IDC InfoBrief, Sponsored by Infor November 2015

Get Started Today with Smart Connected Operations

Capgemini s PoV on Industry 4.0 and its business implications for Siemens

From Analog to Digital: Building Your Smarter Factory with Fujitsu and SAP Leonardo

OCTOBER Digital Supply Networks

DIGITAL OUTLOOK INDUSTRIAL MANUFACTURING INDUSTRY

Connected cars, autonomous driving, next generation manufacturing - Challenges for Trade Unions

Japanese Initiative of Industrial Value Chain Platform for Connected Factories

A-List in IoT Awards. Award Description. Connected Car Platform of the Year - Best connected car software platform.

Clouds as Enablers for M2M Service Provisioning

Ventana Research Big Data and Information Management Research in 2017

Driving the Digital Enterprise Siemens in Context of Industrie 4.0. Restricted Siemens AG 2016

Mid-market technology trends: Leveraging disruption to drive value The Dbriefs Private Companies series Anthony Stephan, Principal, Deloitte

Industry 4.0: Digital Transformation Prepare, implement and profit

From Things to Value

Op weg naar de digitale fabriek Freek Marks Head of Digital Factory Division

BMC point of view. Cognitive Service Management. Enabling the Future of Service

Cloud as the enabler for new value chains

Australia and The Fourth Industrial Revolution

Good Bad Ugly Industry 4.0

Enable Business Transformation In Banking & Financial Services Organizations through Connected Devices. Arvind Radhakrishnen.

3 Ways To Make Your Factory Smarter With IIoT

MindSphere an open industrial cloud ecosystem for digital services. Dr. Peter Weckesser COO Product Lifecycle Management, Siemens AG Digital Factory

Future of Procurement. Zurich February 18 th, 2016

Superposition and adaption of safety functions considering collaborating Systems

TSCM Cloud Services for Implementing the Global Mother Factory Center Concept

THE SMART FACTORY WITH A PART PRODUCTION CONCEPT IN HIGHER EDUCATION

Big Data & Analytics for Wind O&M: Opportunities, Trends and Challenges in the Industrial Internet

The Intelligent Factory: How IoT is optimising operations across the value chain

Davide Dalle Carbonare, Sergio Gusmeroli

Industrie 4.0 The Fourth Industrial Revolution

Magna Steyr. Autonomous Production Systems - The Key for Agile Production? Christoph Krammer Technology Management Contract Manufacturing

Enterprise Resources Planning, IIoT & the Cloud

ICE 2015 ProRegio Project Overview

ICT in Factories of the Future

Collaborative Robots and Industry 4.0. A Technology Leader

Accelerating Innovation in the Industrial Internet of Things

THE Industry Impact OF 5G. Insights from 10 sectors into the role of 5G

HOW TO TAKE ADVANTAGE OF CLOUD COMPUTING FOR INDUSTRIE 4.0 AND ENTERPRISE 4.0

Global Manufacturing Industry Landscape

Digital Disruption in the Industry

Industrie 4.0. die Evolution der Fertigung am Beispiel des Fujitsu Werks Augsburg! #FujitsuWorldTour. Copyright 2017 FUJITSU

Digital Twin & Augmented Reality. Usage of digital product models for product development, production and. service

Hany Moustapha Professor and Director, AÉROÉTS École de technologie supérieure Senior Research Fellow, P&WC July 2016

Digital Transformation with IoT

3 Myths about IoT in Logistics

Digital Transformation How To Navigate Your Business in a Digital World. Genesys CX2017 Brussels, June Dr. Dirk Vater, Bain & Company

HfS Blueprint Guide: Industry 4.0 Services

Digital Factory April 2018 Hannover Germany. Leading Trade Fair for Integrated Processes and IT solutions. hannovermesse.

Measuring Emerging ICT Trends

The Transformative Journey to M4.0: Challenges and Opportunities

Smart Manufacturing Case Study: Robots as-aservice

papinet enabling Industry 4.0 for the Forest and Paper Industry

Azure ML Data Camp. Ivan Kosyakov MTC Architect, Ph.D. Microsoft Technology Centers Microsoft Technology Centers. Experience the Microsoft Cloud

Dr. Hironori Hibino, Tokyo University of Science Dr. Masahiro Nakamura, LEXER RESEARCH Inc.

Industry 4.0 Concept: Background and Overview

This document (including, without limitation, any product roadmap or statement of direction data) illustrates the planned testing, release and

Internet of Things. Point of View. Turn your data into accessible, actionable insights for maximum business value.

The Relevance of IoT and Big Data Analytics in Semiconductor Manufacturing Duncan Lee

DIGITAL TRANSFORMATION (DX)

WHITE PAPER FAST ANALYTICS OVER SLOW DATA

The Smart Instruction Manual: Maintenance & Training Trough Augmented Reality. Track 5 Session 2

Parallel Roundtable 3: Energy Sector Digitalization; Benefits and Challenges. Background Paper

Industrie 4.0 Die Notwendigkeit!

PERSPECTIVE. Manufacturing the Next Industrial Revolution

Digital Thread and Industry 4.0

Industrie 4.0 Digitalization Strategy

A Look At Industry 4.0

BullSequana S series. Powering Enterprise Artificial Intelligence

Why the Internet of Things Mega-Trend will increase the value of your PI Infrastructure

Achieving Digital Success Requires Sharing Knowledge and Experiences. Inge André Sandvik, Chief Digital Officer, Wilhelmsen.

The Internet of Things Services and People Next level solutions

THE (R)EVOLUTION OF THE MACHINE MAKING THE FACTORY OF THE FUTURE

The 5G business potential. Industry digitalization and the untapped opportunities for operators

Epicor Mattec MES. Frank McLoughlin Vice President Business Solutions Group Epicor International Epicor Software Corporation 1

Bridging the Digital & Physical Worlds: IoT & Model-Based Approaches in Manufacturing

Digital Manufacturing Services

Transcription:

Industrie 4.0 Zero Error Production with Intelligence Networked Factories by Supachai Vongbunyong, Ph.D. Innovation and Advanced Manufacturing Research Group Institute of Field Robotics King Mongkut s University of Technology Thonburi

Agenda Trends and Problems Where are the errors? Solution with Industrie 4.0 Conclusions

Trends and Problems PROBLEMS SOCIAL Aging society Lack of skilled worker ECONOMIC High demand of products Shorter product life cycle Product variability Cost reduction pressure ENVIRONMENT Resource depletion Waste and pollution SOLUTIONS Workplace safety Human-machine collaboration Mass customization Effective & Efficient production Value stream optimization Resource efficiency Waste treatment & reduction

Where are the Errors? Mass Customization Personalized custom-made with low unit cost production Source- https://mrtplus.wordpress.com/2011/11/17/the-future-of-mass-customization-is-not-pretty/

The 4 th Industrial Revolution. Cyber-physical systems Internet of Things

Where are the Errors? Enterprise Resource Planning Level Plant Management Level Process Control Level Machine and Field Level http://www.zi-argus.com/mis-mes.php

Where are the Errors? SMART FACTORY Enterprise Resource Planning Level (1) Value Stream Plant Management Level Process Control Level (2) Process Control Machine and Field Level (3) Human Factors http://www.zi-argus.com/mis-mes.php

Zero Error Value Stream Market Demand-Supply Life Cycle Monitoring Resource Efficiency Optimization SMART PRODUCT Source - http://www.advantech.com/iretail-hospitality

Smart Factory Features Machine to Machine Communication (M2M) Smart Products know process and destination IoT - Cloud stores and processes Big Data Mass customization & Individualization Self adaptation and optimization Big Data

Smart Factory S M A R T P R O D U C T Cyber-Physical Systems Cloud-based Process / MES Control Wireless Sensor Network Machine 1 Machine 2 Machine 3 CPS Object CPS Platform Smart Product Smart Product Smart Product

Smart Factory M2M Communication Source- TU Vienna Learning & Innovation Factory

Smart Factory Conventional Production Producer Mass Production Customer Fixed automation lines Pre-programmed production line Smart Product + Sensors

Smart Factory Flexible Manufacturing Mass Customization Customer Products know their process Products know their destination Smart Product + Sensors

Smart Factory Networked Manufacturing Mass Customization Customer Improve productivity

Zero Error Human Factors Accuracy Time Safety CPS Assistances Safety sensors Augmented Reality False detection Human-machine collaboration Exoskeleton for physical help

Zero Error Human Factors Augmented Reality Interactive guidance Step-by-step instruction for complex tasks Source - DFKI AR Handbook - http://av.dfki.de/en/ar-handbook

Zero Error Human Factors Human-Machine Collaboration High performance Safe work environment False detection and prevention Source CoTeSys,TUM Cognitive Factory

Zero Error Human Factors High performance with physical aids Exoskeleton Source - http://www.gizmag.com/robo-mate-first-exoskeleton-industry/38004/

Concluding Remarks Industrie 4.0 - Future of manufacturing Smart Factory and Smart Products Internet of Things and Cloud Zero error production

Q & A

Thank you Supachai Vongbunyong, PhD Innovation and Advanced Manufacturing (I AM) esearch Group http://www.fibo.kmutt.ac.th/iam Supachai_von@fibo.kmutt.ac.th Lecturer at Institute of FIeld robotics (FIBO) King Mongkut's University of Technology Thonburi