Public University of Navarre



Castellano | Academic year: 2014/2015 | Previous academic years:  2013/2014  |  2012/2013  |  2011/2012 
International Double Bachelor's degree in Economics, Management and Business Administration at the Universidad Pública de Navarra
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 ]

Partes de este texto:

 

Contents

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.

Up

Descriptors

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.

Up

General proficiencies

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.

Up

Specific proficiencies

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.

Up

Methodology

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

Presentation and discussion of the problems and difficulties found in the subject

01

Exam

Study and development of the subject exams

26

Total

 

150

Up

Languages

English. A C1 level of English is needed to follow this subject.

Up

Evaluation

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 %

Up

Agenda

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

Up

Bibliography

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)

Up

Location

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

Up