Course code: 176305 | Subject title: OPTIMIZATION THEORY/QUANTITATIVE METHODS OF BUSINESS MANAGEMENT | ||||
Credits: 6 | Type of subject: Mandatory | Year: 2 | Period: 1º S | ||
Department: Statistics and Operative Research | |||||
Lecturers: | |||||
FAULIN FAJARDO, FCO. JAVIER [Mentoring ] | AGUSTIN MARTIN, ALBA MARIA [Mentoring ] |
This subject presents a classical content of Linear Programming applied to decision making in Management. The typical models that will be introduced here will be: Linear Programming, Integer and Multicriteria Programming, with application to decision makings in Production, Marketing, Finance, Human Resources, and Strategy. It is highlighted the use of exact methods for the resolution of linear programs and practical cases related to real companies. The practical point of view will be essential in the development of this subject.
Decision Making in Business, Linear Programming, Integer Programming, Multicriteria Programming, Practical Applications in Companies and Firms. This subject presents an introduction of the use of Linear Programming in companies management, with applications in Production, Marketing, Finance, Human Resources, and Strategy in companies.
CG01. Capacity of Analysis
CG02. Capacity of Organization and Planning
CG04. Communication Skills in Foreign Languages
CG05. Computer Skills
CG06. Ability of Analysing and Searching Information from different sources.
CG07. Capacity of Solving Problems
CG08. Capacity of Making Decisions.
CG09. Capacity of working in a team.
CG10. Working in an interdisciplinary team.
CG11. Working in an international context.
CG13. Capacity of working in diverse and multicultural scenerios.
CG14. Critic and Autocritic Capacity.
CG15. Ethical Commitment at the Work.
CG17. Capacity of autonomous learning.
CG18. Capacity of adapting to new situations.
CG19. Creativity.
CG21. Entrepreneurship Spirit and Leadership.
CG23. Sensitivity towards environmental and social topics.
CE01. Understand the economic institutions as a result and application of theoretical or formal representations about how Economics works.
CE02. Pinpointing sources of relevant economical information.
CE03. Obtaining new information from data.
CE04. Analysis application of problems of managerial presentation of how they are working.
CE05. Report writing in difficult situations of companies and markets.
CE06. Writing projects of global management or the functional areas of the company.
CE07. Get value from the relevant reports of information
CE11. Understand the nature of the companies.
CE13. Identify companies such as a system and find interdependences.
Training activity |
Methodology |
Horas |
|
Theoretical sessions at the classroom |
The instructor will develop the topic objectives, its contents, and problems, highlighting the most difficult ones related to the unit to be explained. |
30 |
|
Study of the theoretical sessions |
Reading of a short text related to the topic to study |
03 |
|
Weekly own study |
Own study of the topics explained in the theoretical classes. |
35 |
|
Practical classes at the classroom |
Development of practical exercises to be developed with the use of a computer. |
30 |
|
Assignments writing |
Development of assignments to be given in to the instructor and could be discussed in class. |
25 |
|
Consulting activities |
|
01 |
|
Exam |
Study and development of the subject exams |
26 |
|
Total |
|
150 |
Kind of assessment |
Parts of the tests |
Scoring |
Final Exam: 70% |
Theory |
30 points |
|
Problems |
70 points |
Exercises and Assignments: 15% |
Computer assignments |
60 points |
|
Practical cases Class exercises |
30 points 10 points |
Voluntary activities: 10% |
Voluntary assignments Participation in class |
Extra scoring |
Midterm exam: 20% (Students who do this exam cannot have the NO PRESENTADO mark) |
|
Minimum score to pass the subject: 60 % |
Chapter 1: Introduction to Quantitative Methods and Business Analytics.
Chapter 2: An Introduction to Linear Programming.
Chapter 3: Linear Programming: Sensitivity Analysis and Interpretation of Solution.
Chapter 4: Linear Programming Applications.
Chapter 5: Linear Programming: The Simplex Method.
Chapter 6: Advanced Linear Programming Applications.
Chapter 7: Simplex-Based Sensitivity Analysis and Duality.
Chapter 8: Transportation, Assignment, and Transshipment Problems.
Chapter 9: Integer Linear Programming.
Chapter 10: Multicriteria Decisions.
Chapter 11: Applications of Linear Programming, Integer Programming and Multicriteria Programming in real cases in companies
Access the bibliography that your professor has requested from the Library.
1) Anderson, D.R., Sweeney, D. J., Williams, T.A. Camm, J. and Martin, K. (2012): An Introduction to Management Science. Quantitative Approach to Decision Making. West Publishing Company. (ASW) (Main handbook)
2) Hillier, F.S. and Hillier, M.S. (2011): Introduction to Management Science. A Modeling and Case Studies Approach with Spreadsheets. McGraw-Hill. (HH)
3) Hillier, F.S. and Liebermann, G.J. (2010): Introduction to Operations Research. McGraw-Hill. (HL)
4) Lawrence, A.L. and Pasternack, B.A. (2002): Applied Management Science. A Computer Integrated Approach for Decision Making. Wiley. (LP)
5) Powell, S.G. and Baker, K.R. (2009): Management Science. The Art of Modeling with Spreadsheets. Wiley. (PB)
6) Winston, W. (2005): Operations Research. Applications and Algorithms. Duxbury. (WW)
Room for theoretical classes, computer rooms, and virtual course Mi Aulario. Roughtly speaking, the 80% of the teaching will be done in a room and the 20% in the virtual course Mi Aulario