Industry 4.0, or smart industry, is defined as an industry that applies technological tools to facilitate process automation and the organisational learning. Those set to revolutionise the way companies manufacture, improve and distribute their products. Technologies such as the Internet of Things (IoT), data mining and cloud computing, Artificial intelligence and machine learning are changing the way in which resources and production processes are managed. With this Postgraduate Diploma in Industry 4.0 and Business Intelligence you’ll discover the concepts and technologies needed to design processes technology companies, intelligent and optimised. As well as customer response systems that, until not so long ago, would have been unthinkable.
Industry 4.0 and Business Intelligence
Big Data and Business Intelligence Development
130 h
Introduction
Objectives
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Understanding the concept of Industry 4.0 and business intelligence.
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Designing processes mechanical manufacturing based on smart technologies.
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Developing projects and planning for mechanical engineering.
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Implement systems for modelling business.
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To know the main data models.
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Implement systems and business intelligence tools.
Table of Contents
TEACHING UNIT 1. INDUSTRY 4.0
1. Industrial development
2. Industry 4.0 tools
3. Automation and robotics in the service of Industry 4.0
4. Information management in Industry 4.0
5. Maintenance in Industry 4.0: CMMS systems
TEACHING UNIT 2. PRODUCTION PLANNING IN MECHANICAL MANUFACTURING
1. Production subject to stock constraints, regular and ad hoc production, batch production
2. Production planning. Aggregate plan
3. Production capacity and workloads
4. Master production programme
5. Workload allocation and sequencing
6. Productivity. Efficiency. Efficacy. Effectiveness
TEACHING UNIT 3. LEAN MANUFACTURING IN MECHANICAL ENGINEERING
1. Production and Improvement Master Plan
2. Quality circles
3. Just-in-time (J.I.T.) method
4. Production levelling
5. Kanban cards
6. Technological method for production optimisation (O.P.T.)
7. The Theory of Constraints (TOC)
TEACHING UNIT 4. PROJECT PLANNING AND RESOURCE PLANNING IN MECHANICAL MANUFACTURING
1. Six Sigma. A new philosophy of quality
2. Implementation of Six Sigma
3. Project scheduling, the PERT method
4. Project scheduling, the ROY method
5. Material Requirements Planning (MRP) and MRP II
6. Placing orders
TEACHING UNIT 5. PRODUCTION CONTROL IN MECHANICAL MANUFACTURING
1. Production control techniques
2. Rescheduling
3. SMED in an agile manufacturing environment
4. Implementation and practical application of SMED
5. Methods for monitoring production
TEACHING UNIT 6. INTRODUCTION TO BUSINESS INTELLIGENCE
1. Definition of Business Intelligence
2. Collection and analysis of information
3. The benefits and purposes of business intelligence
4. Strategic decision-making
TEACHING UNIT 7. BUSINESS MODELLING
1. Definition of a business model
2. The impact of changes to the business model on the bottom line
3. The importance of an optimal business model design
4. Key indicators
TEACHING UNIT 8. DATA MODELS
1. The usefulness of the entity-relationship model
2. Star diagrams
3. "Snowflake" diagrams"
4. An introduction to granularity
TEACHING UNIT 9. COMPONENTS OF BUSINESS INTELLIGENCE
1. Components of business intelligence
2. Sources of information
3. The process of extracting, transforming and cleaning data, or ETL
4. Essential tools for business intelligence
5. OLAP tools
TEACHING UNIT 10. BUSINESS INTELLIGENCE PROJECTS
1. The need for business intelligence project planning within the organisation
2. Project objectives
3. Assessment of resources and timeframes
4. Stages in project planning
5. Key factors determining the success or failure of the project
TEACHING UNIT 11. SELECTION OF BUSINESS INTELLIGENCE TOOLS
1. Staff training and engagement
2. Informal process for selecting tools and suppliers
3. Formal supplier selection process
4. Business intelligence products and suppliers
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