Planning and Management Techniques

Recommended Prerequisites

Linear algebra, Probabilities and statistics, Calculus.

Teaching Methods

Theoretical and methodological concepts are presented in tutorial lectures, being motivated by real-world problems and illustrated with application examples.

Software (commercial and public domain) packages are used to obtain solutions to the mathematical models, thus freeing the students for the more creative tasks of problem formulation, model building and critical analysis of results.

Learning Outcomes

Providing the students with methodological and application competences in the area of operations planning and management in the context of engineering problems, in order to enable them to identify types of problems, develop mathematical models that include the essential characteristics of those problems, and apply algorithms to generate solutions for the problems, and to perform a critical analysis of the solutions obtained.

Work Placement(s)

No

Syllabus

1. Introduction to linear programming (LP). Development of LP mathematical models. Solving LP problems.

2. Project planning and management with PERT/CPM.

3. Inventory theory models.

4. Forecasting.

5. Decision analysis.

6. Markov chains.

7. Queueing theory.

Head Lecturer(s)

Carlos Alberto Henggeler de Carvalho Antunes

Assessment Methods

Assessment
Exam: 100.0%

Bibliography

- Hillier, F. S., G. J. Lieberman. "Introduction to Operations Research", McGraw-Hill, 2010 (9th ed.).

- Tavares, L. V., R. C. Oliveira, I. H. Themido, F. N. Correia. “Investigação Operacional”, McGraw-Hill Portugal, 1996.

- Bronson, R., G. Naadimuthu. "Investigação Operacional", Colecção Schaum (2ª. Ed.), McGraw-Hill Portugal, 2001.