Course Title: Platforms and Technologies as Enablers of Digital Transformation in Production

Course Title: Platforms and Technologies as Enablers of Digital Transformation in Production
The course objectives: This course aims to develop the general and specific skills of the students about smart manufacturing technologies and key enabling digitalization technologies while creating a digital copy of the end-to-end production and a product. In addition, fundamentals of data analytics are used to evaluate, simulate the processes to improve and manage the efficiency of the production systems by integrating physical and virtual systems, including operation management, process flow variability design using queue modeling techniques, capacity planning, analyses effect of stochastic variability on workstations and production and control work in process level (WIP), cycle time (CT) and throughput (TH) of the production.
Students Learning Outcomes:
SLO_1: Acquire a knowledge and methods of the industrial engineering of queue modelIng techniques, evaluate and improve industrial processes performances and manufacturing line relation with company operating efficiency and customer order by making internal benchmarking.
SLO_2: Understanding the relatively complex topics about smart manufacturing and
automation with Industry 4.0
SLO_3: Understanding digital enablers for the hybridization and communication of the physical and digital world for data processing.
SLO_4: Understanding digital enablers such as CRM, ERP for intra-enterprise and inter-enterprise management.
Prerequisite
Elements of statistics (concept of probability distribution, concepts of mean and variance, and distribution of fundamental probabilities such as Normal, Uniform, Exponential). Elements of mathematical analysis (solution of systems of equations, computation of derivatives and integrals, analysis of functions).
Knowledge of the English language. Basic knowledge of computer science (use of Microsoft Excel and Minitab).
Course Outline:
Digital Engineering

1. 
   Advanced Building Information CAD Modeling
   
2. 
   Advanced evaluation – Engineering modeling
   
3. 
   CAD models for physical objects – from observation to CAM simulation of the process
   

Smart Production Operations

1. 
   Technological Processes Workstation Analysis, Cycle time, workstation effective rate, workstation performance analysis. Workstation Analysis Failure effect. Machine break down effect on manufacturing performance, failure time analysis, optimize machine breakdowns. Workstation Analysis Reworking effect on workstation, Analyze effect of reworking on manufacturing performance parameters.
   
2. 
   Inventory Management, Warehouse management in conditions of certainty: batch sizing and EOQ model. Medium-term planning with ERP system: Master production schedule (MPS), Material requirements planning (MRP), Rough Cut capacity Planning (RCCP). Quality Management, Statistical Process Control
   
3. 
   Operation management techniques in industry 4.0 paradigm. Industry 4.0 framework, concept, theories, tools and advanced enabling technologies. Impact of industry 4.0 on modern industrial digitalization. Smart product and its design concept.
   
4. 
   Sensors and embedded systems. Enabling for the hybridization of the physical and digital world to be connected, either by capturing information from the physical world or by transforming digital information into a physical element. For example, sensor technology is incorporated into the means of production, increasing its efficiency or functionalities, thus optimizing the process.
   

Intelligent Robotized Automation

1. 
   CIM structure and the various levels of automation: company, plant, area, cell, machine, field.
   
2. 
   PLC ladder diagram programming. Detailed examples of managing the flow of parts between the various processing islands in a production department.
   
3. 
   Industrial robots: structures and application sectors. Computer simulation methods and examples