By the end of this subject, students will be able to : 1. Have a knowledge and understanding of the key aspect related to automated manufacturing systems. 2. Be aware of the multidisciplinary context of automated production systems. 3. Have the ability to model and analyze manufacturing systems in a computer program whith discrete event simulation programs. 4. Have the ability to search for literature related to a real visit to a production system. 5. Have the ability to combine theory and practice in the programing of the simulation of a manufacturing systems example. 6. Have the ability of working in group to visit a real production system and to relate that visit to the theoretical sessions. 7. Have and understanding about the aspects related to environmental impact and sustainable production, and to relate these aspects with the group work.

RA1.2: A systematic understanding of the key aspects and concepts of their branch of industrial engineering. RA2.1: The ability to apply their knowledge and understanding to identify, formulate and solve engineering problems using established methods. RA2.2: The ability to apply their knowledge and understanding to analyse engineering products, processes and methods. RA3.2: An understanding of design methodologies, and an ability to use them. RA4.2: The ability to design and conduct appropriate experiments, interpret the data and draw conclusions. RA4.3: Workshop and laboratory skills. RA5.1: The ability to select and use appropriate equipment, tools and methods. RA5.3: An understanding of applicable techniques and methods, and of their limitations. CB1: Students have demonstrated possession and understanding of knowledge in an area of study that builds on the foundation of general secondary education, and is usually at a level that, while relying on advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study. CB2: Students are able to apply their knowledge to their work or vocation in a professional manner and possess the competences usually demonstrated through the development and defence of arguments and problem solving within their field of study. CG1: Ability to resolve problems with initiative, creativity decision-making and critical reasoning skills, and to communicate and transmit knowledge, skills and abilities in the Industrial Engineering area. CG3: Capacity to design a system, component or process in the area of electronic and automatic engineering in compliance with required specifications. CG9: Knowledge and capacity to apply computational and experimental tools for analysis and quantification of electronic and automatic engineering problems. CG24: Basic knowledge of production and manufacturing systems. CE11: Capacity for designing control systems and industrial automation.

1.- Introduction. 1.1.- Introduction. 1.2.- Automated machinery. 1.3.- Sensors. 1.4.- Robotized systems. 1.5.- Flexible manufacturing systems. 2.- Materials management. 2.1.- Kanban and JIT. 2.2.- Computer based material planning systems (ERP). 2.3.- Identification systems. 2.4.- Transport elements. 2.5.- Traceability and warehouse management. 3.- Information management. 3.1.- Arquitectures of CIM systems. 3.2.- Industrial communications. 3.3.- SCADA software and flexible manufacturing systems simulation products. 4.- Introduction to manufacturing processes. 4.1.- Forming processes. 4.2.- Machining processes. 4.3.- Surface finishing processes. 4.4.- Element joining processes. 4.5.- Thermal processes. 4.6.- Finishing processes. 5.- Sustainable production. 5.1.- Sustainable development. 5.2.- Environmental impact. 5.3.- Sustainable design. 6.- Manufacturing trends. 6.1.- Product or service. 6.2.- Market scenarios. 6.3.- Knowledge based enterprise. 6.4.- New enterprise logistics and organization. 6.5.- Logistics: direct and inverse logistics. 7.- Production systems case studies. 7.1.- Process plans. 7.2.- Food industry. 7.3.- Automobile industry. 7.4.- Stainless steel production. 8.- Manufacturing systems simulation. 8.1.- Introduction to discrete events software simulation packages. 8.2.- Implementation of a manufacturing systems model on a simulation package.

- Theoretical lectures oriented for the acquisition of theoretical knowledge. - Classes of problems in small groups for problem solving and case studies. - Individual tutorials and students' personal work, aimed at the acquisition of skills related to the subject program. - Laboratory practices: 4 sessions of 1'5 hours. During the lab sessions students will learn to analyze a production process by means of a simulator. Students submit an assignment that will be marked.