Industry 4.0 and Business Intelligence

TEACHING UNIT 1. INDUSTRY 4.0 1. Industrial Evolution 2. Industry 4.0 Tools 3. Automation and Robotics in Industry 4.0 4. Information Management in Industry 4.0 5. Maintenance in Industry 4.0: CMMS Systems TEACHING UNIT 2. PRODUCTION SCHEDULING IN MECHANICAL MANUFACTURING 1. Production with inventory constraints, regular and special production, batch production 2. Production scheduling. Aggregate plan 3. Production capacities and workloads 4. Master production schedule 5. Workload assignment and sequencing 6. Productivity, Efficiency, Effectiveness TEACHING UNIT 3. LEAN PRODUCTION IN MECHANICAL MANUFACTURING 1. Master Production Plan and Improvement 2. Quality Circles 3. Just-in-Time (J.I.T.) Method 4. Production Leveling 5. Kanban Cards 6. Optimization of Production Technology (O.P.T.) Method 7. Theory of Constraints (T.O.C.) TEACHING UNIT 4. PROJECT SCHEDULING AND REQUIREMENTS 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. Order Release 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. Production Monitoring Methods TEACHING UNIT 6. INTRODUCTION TO BUSINESS INTELLIGENCE 1. Definition of Business Intelligence 2. Information Collection and Analysis 3. Use and Purposes of Business Intelligence 4. Strategic Decision-Making TEACHING UNIT 7. BUSINESS MODELING 1. Definition of a business model 2. Effects of changes in the business model on results 3. Importance of optimal business model design 4. Key indicators LEARNING UNIT 8. DATA MODELS 1. Usefulness of the Entity-Relationship Model 2. Star Schemas 3. «Snowflake» Schemas 4. Introduction to Granularity LEARNING UNIT 9. COMPONENTS OF BUSINESS INTELLIGENCE 1. Components of business intelligence 2. Information sources 3. The process of extracting, transforming, and cleaning data (ETL) 4. Essential Tools for Business Intelligence 5. OLAP Tools TEACHING UNIT 10. BUSINESS INTELLIGENCE PROJECTS 1. The Need for Planning Business Intelligence Projects Within the Organization 2. Project Objectives 3. Assessment of Resources and Timelines 4. Phases of Project Planning 5. Key Factors for Project Success or Failure TEACHING UNIT 11. SELECTION OF BUSINESS INTELLIGENCE TOOLS 1. Staff Training and Involvement 2. Informal Process for Selecting Tools and Vendors 3. Formal Process for Selecting Vendors 4. Business Intelligence Products and Vendors