The knowledge concerning Production, Management, Statistics and Probalility achieved in the Industrial Engineering Degree or others.
The industrial engineer usually develops his professional career in the business world, and mainly focused on the manufacture of products and services. Operations are a key issue in the modern companies, so these must be properly designed and planned. In addition, the decision-making process in Operations is a key factor to achieve the competitive advantage. This course provides student with a basic and applied knowledge about the decision-making process in Operations, also improving the knowledge about the modern production systems, the tools for the competitiveness improvement and the latest trends in Operations Management.
Course competences | |
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Code | Description |
A01 | To have appropriate knowledge of the scientific and technological aspects of mathematical, analytical and numerical methods in engineering, electrical engineering, energy engineering, chemical engineering, mechanical engineering, continuous medium mechanics industrial electronics, automation, manufacturing, materials, quantitative management methods, industrial computing, town planning, infrastructures, etc. |
A02 | To plan, calculate and design products, processes, facilities and plants. |
A03 | To lead, plan and supervise multidisciplinary teams. |
A04 | To conduct research, development and innovation in products, processes and methods. |
A05 | To perform strategic planning and apply it to construction, production and environmental quality and management systems. |
A06 | To manage the technical and economic aspects of projects, installations, plants, companies and technology centres. |
A07 | To exercise functions of general, technical and R&D Project management in plants, companies and technology centres. |
C01 | Ability to organise and manage human resources. Knowledge of occupational risk prevention. |
C02 | Knowledge and skills for integrated project management. |
C05 | Apply the achieved knowledge and ability to solve problems in new or unfamiliar environments within broader (or multidisciplinary) contexts related to the area of study |
D01 | Ability to design, construct and exploit industrial plants. |
D05 | Knowledge of transportation and industrial maintenance methods and techniques. |
Course learning outcomes | |
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Description | |
Be able to design, plan, evaluate and continually improve the operations subsystem in manufacturing and service enterprises. | |
Be able to conduct quality control of products and processes using advanced on-line measurement technologies. | |
Understand the interrelations between decisions in operations and be able to select and implement different strategies, models and solutions. | |
Additional outcomes | |
Not established. |
Training Activity | Methodology | Related Competences (only degrees before RD 822/2021) | ECTS | Hours | As | Com | Description | |
Class Attendance (theory) [ON-SITE] | Lectures | A01 A02 A03 A04 A05 A06 A07 C02 C05 D01 D05 | 1.2 | 30 | N | N | ||
Problem solving and/or case studies [ON-SITE] | Problem solving and exercises | A01 A02 A03 A04 A05 A06 A07 C01 C02 C05 D01 D05 | 0.8 | 20 | N | N | ||
Individual tutoring sessions [ON-SITE] | Combination of methods | A01 A02 A03 A04 A05 A06 A07 C01 C02 C05 D01 D05 | 0.2 | 5 | N | N | ||
Progress test [ON-SITE] | Assessment tests | A02 C01 C02 C05 D01 D05 | 0.1 | 2.5 | Y | N | ||
Final test [ON-SITE] | Assessment tests | A02 | 0.1 | 2.5 | Y | N | ||
Study and Exam Preparation [OFF-SITE] | Self-study | A01 A02 A03 A04 A05 A06 A07 C02 C05 D01 D05 | 3.6 | 90 | N | N | ||
Total: | 6 | 150 | ||||||
Total credits of in-class work: 2.4 | Total class time hours: 60 | |||||||
Total credits of out of class work: 3.6 | Total hours of out of class work: 90 |
As: Assessable training activity Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).
Evaluation System | Continuous assessment | Non-continuous evaluation * | Description |
Final test | 70.00% | 70.00% | Final exam based on theoretical and practical cases |
Assessment of problem solving and/or case studies | 20.00% | 20.00% | Resolution of problems and case studies |
Progress Tests | 10.00% | 10.00% | Online test |
Total: | 100.00% | 100.00% |
Not related to the syllabus/contents | |
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Hours | hours |
Individual tutoring sessions [PRESENCIAL][Combination of methods] | 10 |
Progress test [PRESENCIAL][Assessment tests] | 2.5 |
Final test [PRESENCIAL][Assessment tests] | 2.5 |
Study and Exam Preparation [AUTÓNOMA][Self-study] | 80 |
Unit 1 (de 11): Introduction to Operations Management | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 3 |
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 1 |
Group 11: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Group 10: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Unit 2 (de 11): Demand forecasting | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 3 |
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 2 |
Group 10: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Group 11: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Unit 3 (de 11): Product design | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 3 |
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 2 |
Group 10: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Group 11: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Unit 4 (de 11): Process design | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 3 |
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 1 |
Group 10: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Group 11: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Unit 5 (de 11): Capacity planning and location | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 2 |
Group 10: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Group 11: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Unit 6 (de 11): Plant layout | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 4 |
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 3 |
Group 10: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Group 11: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Unit 7 (de 11): Short-term operations planning | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 3 |
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 2 |
Group 10: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Group 11: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Unit 8 (de 11): Maintenance management | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 3 |
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 4 |
Group 11: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Group 10: | |
Initial date: 23-09-2019 | End date: 29-11-2019 |
Unit 9 (de 11): Linear Programming | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 8 |
Group 10: | |
Initial date: 02-12-2019 | End date: 17-01-2020 |
Group 11: | |
Initial date: 02-12-2019 | End date: 17-01-2020 |
Unit 10 (de 11): Queueing Theory | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 2 |
Group 10: | |
Initial date: 02/12/2019 | End date: 17/01/2020 |
Group 11: | |
Initial date: 02/12/2019 | End date: 17/01/2020 |
Unit 11 (de 11): Software for Operations Research | |
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Activities | Hours |
Class Attendance (theory) [PRESENCIAL][Lectures] | 5 |
Problem solving and/or case studies [PRESENCIAL][Problem solving and exercises] | 5 |
Group 10: | |
Initial date: 02-12-2019 | End date: 17-01-2020 |
Group 11: | |
Initial date: 02-12-2019 | End date: 17-01-2020 |
Global activity | |
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Activities | hours |