Checking date: 06/04/2023


Course: 2023/2024

Production and logistics system design and simulation
(15516)
Bachelor in Industrial Technologies Engineering (2010 Study Plan) (Plan: 244 - Estudio: 256)


Coordinating teacher: RIVERA RIQUELME, FRANCISCO ANTON

Department assigned to the subject: Mechanical Engineering Department

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Objectives
- Knowledge and understanding of Production Systems and Industrial Organization. - Ability to identify engineering problems within the industrial field, to establish different resolution methods and to select the most appropriate one for their solution. - Ability to design Production Systems that comply with the required constraints, collaborating with professionals in related technologies within multidisciplinary teams. - Ability to apply their knowledge and understanding to solve problems and design processes in the field of Industrial Engineering in accordance with criteria of cost, quality, safety, efficiency and respect for the environment. - Skills for the practice of engineering in today's society.
Skills and learning outcomes
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 solve problems with initiative, decision-making, creativity, critical reasoning and to communicate and transmit knowledge, skills and abilities in the field of Industrial Engineering. CG3. Ability to design a system, component or process in the field of Industrial Technologies to meet the required specifications CG8. Knowledge and ability to apply quality principles and methods. CG9. Knowledge and ability to apply computational and experimental tools for the analysis and quantification of Industrial Engineering problems. ECRT6. Ability for the analysis, design, simulation and optimisation of processes and products. ECRT8. Knowledge and ability for systems modelling and simulation. RA1. Knowledge and understanding: Have basic knowledge and understanding of science, mathematics and engineering within the industrial field, as well as knowledge and understanding of Mechanics, Solid and Structural Mechanics, Thermal Engineering, Fluid Mechanics, Production Systems, Electronics and Automation, Industrial Organisation and Electrical Engineering. RA2. Engineering Analysis: To be able to identify engineering problems within the industrial field, recognise specifications, establish different resolution methods and select the most appropriate one for their solution RA3. Engineering Design: To be able to design industrial products that comply with the required specifications, collaborating with professionals in related technologies within multidisciplinary teams. RA5. Engineering Applications: To be able to apply their knowledge and understanding to solve problems and design devices or processes in the field of industrial engineering in accordance with criteria of cost, quality, safety, efficiency and respect for the environment. RA6. Transversal Skills: To have the necessary skills for the practice of engineering in today's society.
Description of contents: programme
Modeling of Production Systems Introduction to Linear Programming The Simplex Method Duality Postoptimality Analysis Integer Programming Simulation of Production Systems
Learning activities and methodology
Lectures, exercises and practical sessions. Face-to-face tutorials.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Calendar of Continuous assessment
Basic Bibliography
  • Hillier, F.S.; Lieberman, G.J. Introduction to Operations Research. McGraw-Hill. 2010
Additional Bibliography
  • Bazaraa, M.S.; Jarvis, J.J.; Sherali, H.D. Linear Programming and Network Flows. John Wiley & Sons. 2010
  • Law, A.M. Simulation Modeling and Analysis. McGraw-Hill. 2015
  • Taha, H.A. Operations Research: An Introduction. Prentice Hall. 2011

The course syllabus may change due academic events or other reasons.