Corporate

Executive 4.0

Business Administration and Management 40 hours

Introduction

The Management 4.0 course refers to a type of leader or executive who operates in a business and technological environment characterised by the The Fourth Industrial Revolution or Industry 4.0. This concept involves managers adapting to the new technologies, trends and challenges arising in this context. A 4.0 manager is a leader who embraces the technology and the digital transformation within their organisation, and uses these tools and insights to make strategic decisions that drive growth and competitiveness in the era of Industry 4.0. Industry 4.0 executives are up to date with the latest technological trends, such as artificial intelligence, the Internet of Things, advanced robotics and data analytics.

Objectives

  1. To lead and manage the digital transformation of the organisation.

  2. To seek to improve the efficiency in the company’s internal processes through the automation and optimisation of tasks and workflows.

  3. Using data and analysis to understand the needs y preferences of customers.

Table of Contents

TEACHING UNIT 1. INDUSTRY 4.0

  1. Introduction: From the First Industrial Revolution to Industry 4.0
  2. How Lean Manufacturing fits in with Industry 4.0
  3. Enabling technologies
  4. People and Industry 4.0
  5. The company’s assessment
  6. The implementation process

TEACHING UNIT 2. NEW MANUFACTURING TECHNOLOGIES AND CYBERSECURITY

  1. Industrial additive manufacturing
  2. Nanofabrication
  3. Composite materials
  4. Industrial Security: Cybersecurity and IoT Technologies
  5. Most common attacks

TEACHING UNIT 3. DIGITAL TECHNOLOGIES

  1. Cyber-Physical Systems
  2. Augmented reality
  3. Cloud Environment
  4. IIoT
  5. Analytics
  6. Blockchain

TEACHING UNIT 4. ICT SOLUTIONS FOR DECISION-MAKING IN INDUSTRY 4.0

  1. Sensors
  2. MES (Manufacturing Execution System)
  3. SCADAS
  4. Mobility
  5. Energy Efficiency Solutions

TEACHING UNIT 5. ROBOTICS: INDUSTRIAL, COLLABORATIVE

  1. Robotics in Industry 4.0
  2. Collaborative robotics
  3. AGVs
  4. Drones
  5. Computer Vision

TEACHING UNIT 6. BIG DATA + MACHINE LEARNING

  1. Big Data
  2. Virtual factory and process models
  3. Digital Twin
  4. Advanced process monitoring models
  5. Real-time identification of deviations
  6. Predicting failure modes using simulation tools

TEACHING UNIT 7. MASS CUSTOMISATION

  1. Customised mass production
  2. Value chains that can be reconfigured using virtual cells
  3. Dynamic process balancing
  4. Configurable layouts
  5. Future maintenance requirements
  6. Asset Management

TEACHING UNIT 8. PEOPLE IN THE DIGITAL AGE

  1. How is the Fourth Industrial Revolution affecting senior and middle managers?
  2. Leading a team that drives digital transformation
  3. Change management and risk tolerance
  4. How to motivate diverse teams and nurture talent
  5. Talent in the digital age: How to tackle the digital skills gap
  6. Fostering cooperation: The Belbin Methodology
  7. Managing my emotions and my relationship with technology
  8. The Challenge of Agility: Improving Personal Productivity

TEACHING UNIT 9. MOVING TOWARDS INDUSTRY 4.0

  1. Assessment of the initial situation
  2. Identifying areas within the company where Industry 4.0 can be implemented
  3. Working groups to analyse these points
  4. Final thoughts
  5. Funding and development
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