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2026-27
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  1. Schools and faculties
  2. Faculty of Business and Economics
  3. Courses
  4. Bachelor's Degree in Business Administration and Management (2024)
  5. Subjects
  6. OPERATIONS MANAGEMENT
  7. Teaching guide
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OPERATIONS MANAGEMENT
Subject code: 16254108 Print
  • Identification data
  • Output learning
  • Contents
  • Learning activities
  • Assessment
  • Information sources
  • Additional information
  • Software to use
Identification data
Year: 2026-27
Subject
OPERATIONS MANAGEMENT
Code
16254108
Course
Bachelor's Degree in Business Administration and Management (2024)
Level
Undergraduate
Subject matter
Business Organisation
Scope
Credits
Type
Academic year
6.0
COMPULSORY
2nd curs
Period
First semester
General description
To provide the specific concepts and methods of Operations Management and Statistical Quality Control
Modality of instruction
Face-to-face
Required subjects
Recommended subjects
Coordinator
Fonts Ribas, Albert
Melià Roig, Ignasi
Moll Garcia, Daniel
Ortuño Iniesta, Andrés
Segura Bosch, Mary Neus
Instructor(s)
Schedules, classrooms and language of instruction for group
Schedules, classrooms and language of instruction for group

Specific learning outcomes of the degree

    SE5 Develop projects for managing the resources of a company and entrepreneurial initiatives in both the public and private spheres.
  • SE5 - Develop projects for managing the resources of a company and entrepreneurial initiatives in both the public and private spheres.
      SE5 - SE5.1 Apply management methods to design and manage the operations subsystem.
    • SE5.1 - Apply management methods to design and manage the operations subsystem.

Transversal learning outcomes of the degree

Chapter 1: Opeartions management

1.1) Operations management and SCM
1.2) Lean management and JIT
1.3) Industry 4.0: Digital twins and the application of AI in Operations Management

1.4) Circular production



Chapter 2: Design of an Operation System 2.1) Business and Operations Strategy
2.2) Key Performance Indicators (KPI): Strategic, Functional and Operational KPIs
2.3) Selection and design of Product
2.4) Selection and design of Process
2.5) Capacity planning
2.6) Location decisions
2.7) Layout planning
2.8) Work time Measurement
Chapter 3: Operations planning 3.1) Operations planning, programming, execution and control.
3.2) Agregate plan and Master Production Schedule
Chapter 4: Inventory Management 4.1) Economic Order Quantity models
4.2) MRP system
4.3) Just in Time
Chapter 5: Production Activity Control 5.1) Scheduling and controlling activities
5.2) Priority control
5.2) Job Sequencing
5.3) Optimized Production Technology
Chapter 6: Statistical Quality Control 6.1) Uses of Statistics in Quality Control
6.2) Statistical Process Control: Control Charts


The data displayed in the table is orientative, taking into consideration the heterogeneity of students
Total study hours
guia docent id Teaching activity Description Working hours with face-to-face teacher presence (HTPP) Working hours with the presence of the distance teacher (HTPD) Hours of private study TOTAL
Total
First call/continuous assessment
id guia docent id es requisit Assessment % of the grade Description

Other observations:

USE OF ARTIFICIAL INTELLIGENCE TOOLS AND VERIFICATION TESTS

The use of artificial intelligence tools must strictly comply with the guidelines provided by the teaching staff and, in any case, must be declared. Its unauthorized, excessive, or undeclared use in assessment activities goes against the principles of academic integrity and will result in a failing grade for the activity, without prejudice to the application of other disciplinary measures in accordance with the Academic Regulations for Bachelor's and Master's Degrees and the Student Disciplinary Regulations of the URV. The teaching staff may, at any time, establish complementary mechanisms to verify authorship, as well as oral defenses or explanations of the submitted activities and/or assessment tests.

This course promotes the critical and responsible use of artificial intelligence tools as part of the learning process. In certain activities, the use of AI may be required or permitted, always in accordance with the specific guidelines provided by the professor in the instructions for each activity, available on the Virtual Campus. There may also be activities where its use is explicitly prohibited. In case of doubt regarding its use, it is recommended to consult the professor beforehand. Students must declare the use of artificial intelligence tools, following the declaration format guidelines specified by the instructor. The unauthorized use of artificial intelligence tools will be penalized according to current regulations.



Second call:

In the Second Call, the final grade will be the best value of the next two options:

(A) Continuous Assesment (40%) + Final Exam (2nd Call, 60%).

(B) or Final Exam (2nd Call, 100%)

Do not take the Final Exam means a grade of 'Absent'.

During the exams, electronic devices for communication are not allowed to use.

Learning outcomes of subject Assessment criteria

Basic bibliography

  • ( Book ) Chase, Richard B. / Jacobs, F. Robert. / Aquilano, Nicholas J., Chase, Richard B. Operations and supply management. Castellà
    Administración de operaciones : producción y cadena de suministros
    , cop. 2009 Access to the CRAI
  • ( Book ) / Domínguez Machuca, J. A., Dirección de operaciones : aspectos estratégicos en la producción y los servicios , cop. 1995 Access to the CRAI
  • ( Book ) / Domínguez Machuca, J. A., dir. / García González, Santiago, Dirección de operaciones : aspectos tácticos y operativos en la producción y los servicios , cop. 1995 Access to the CRAI
  • ( Book ) Chase, Richard B. / Aquilano, Nicholas J., Dirección y administración de la producción y de las operaciones , cop. 1994 Access to the CRAI
  • ( Book ) Jacobs, F. Robert / Chase, Richard B, editor., Administración de operaciones, producción y cadena de suministros , 2013 Access to the CRAI , More info
  • ( Book ) Davis, Mark M. / Aquilano, Nicholas J. / Chase, Richard B. / Carretero Díaz, Luis Eugenio, Fundamentos de dirección de operaciones , cop. 2001 Access to the CRAI
  • ( Book ) Heizer, Jay H. / Render, Barry., Principles of operations management , 1999 Access to the CRAI
  • ( Book ) Heizer, Jay H. / Render, Barry., Operations management , cop. 2012 Access to the CRAI
  • ( Book ) Heizer, Jay H. / Render, Barry., Dirección de la producción : decisiones tácticas y estratégicas , cop. 2001 Access to the CRAI
  • ( Book ) Heizer, Jay H. / Render, Barry. / Martínez Parra, José Luis., Dirección de la producción y de operaciones : decisiones estratégicas , cop. 2015 Access to the CRAI
  • ( Book ) Krajewski, Lee J. / Ritzman, Larry P., Operations management : strategy and analysis , cop. 1996 Access to the CRAI
  • ( Book ) Krajewski, Lee J. / Ritzman, Larry P. / Malhotra, Manoj K., Administración de operaciones : procesos y cadena de suministro , cop. 2013 Access to the CRAI
  • ( Book ) Goldratt, Eliyahu M., What is this thing called theory of constraints and how should it be implemented? , cop. 1990 Access to the CRAI
  • ( Book ) Goldratt, Eliyahu M., Cadena crítica , cop. 1997 Access to the CRAI
  • ( Book ) Goldratt, Eliyahu M., El Síndrome del pajar , 1993 Access to the CRAI
  • ( Book ) Goldratt, Eliyahu M., No es cuestión de suerte , cop. 1995 Access to the CRAI
  • ( Book ) Goldratt, Eliyahu M. / Cox, Jeff, La Meta : un proceso de mejora continua , cop. 2005 Access to the CRAI
  • ( Book ) Goldratt, Eliyahu M. / Cox, Jeff, The Goal : a process of ongoing improvement , cop. 1992 Access to the CRAI
  • ( Book ) / Juran, J. M. (Joseph M.), 1904-2008, ed. / Gryna, Frank M., ed., Juran's quality control handbook , cop. 1988 Access to the CRAI
  • ( Book ) Juran, J. M. / Gryna, Frank M. / Bingham, R. S., Manual de control de la calidad , DL 1983 Access to the CRAI
  • ( Book ) Riley, James F. / Juran, J. M. (Joseph M.), 1904-2008 ., The Quality improvement process, cop. 1999 Access to the CRAI

Complementary bibliography

During the semester, informative sessions from companies related to the operations area will be held. The use of management tools such as "Power BI" for data analysis will also be introduced, along with the use of Artificial Intelligence as a complementary tool.

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Excel
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