Project and Operations Management

Recommended Prerequisites

Calculus I; Calculus II; Applied Computing; Modeling, Simulation and Optimization; Applied Statistics.

Teaching Methods

The basic concepts, definitions and formulations are presented, with a set of illustrative examples. These are practiced during the solution of a set of tasks, in groups of 2-3 people.

Learning Outcomes

This curricular unit will help the students in acquiring knowledge relative to the fundamental problems in operations management and management of industrial projects, in particular in the context of the chemical industry. It is intended that the students become familiar with the main mathematical methodologies of describing and solving these problems, namely at the level of the optimization techniques used. Alternative solution methods are covered, and their potentialities, limitations and the corresponding effort are evidenced. Through the application of these methods to representative case studies, the students have the opportunity to acquire the capability of formulating and solving these problems using different available tools, namely from mathematical optimization and other specific algorithms. The organization of the syllabus aims at transmitting an integrated perspective to the diversified range of topics covered.

Work Placement(s)

No

Syllabus

Introduction. Production processes and the corresponding operation management problems. Vision in distinct temporal and special scales.

Mathematical tools. Continuous optimization, linear and nonlinear. Formulations with discrete variables. Network problems. Modeling with discrete variables. Hierarchies of solutions (integer-cuts). Multi-objective optimization.

Main operation management problems. Aggregated production planning. Multi-period problems. Formulations with uncertainties in the parameters (multi-scenario) and robust decision policies.

Design and scheduling of discontinuous processes. Interactions between design and scheduling. Studies of expanding capacities.

Management of industrial processes. Lifecycle and planning of an industrial project. Network models for planning: PERT and CPM. Mathematical formulation.

Head Lecturer(s)

Fernando Pedro Martins Bernardo

Assessment Methods

Assessment
Resolution Problems: 30.0%
Exam: 70.0%

Bibliography

1. Stevenson, W. Operations Management, McGraw-Hill, 9ª ed., Boston, 2007.

2. Williams, H.P. Model Building in Mathematical Programming, 3ª ed., John Wiley & Sons, Chichester, 1993.

3. Hillier, F.S.; Lieberman, G.H. Introduction to Operations Research, 5ª ed., McGraw-Hill, New York, 1990.

4. Mah, R. S. H. Chemical Process Structures and Information Flows, Butterworths, Boston, 1990.

5. Chen, D. S.; Batson, R.G.; Dang, Y. Applied Integer Programming, John Wiley & Sons, New York, 2010.

6. Floudas, C.A Nonlinear and Mixed-Integer Optimization. Fundamentals and Applications, Oxford University Press, New York, 1995.

7. Lisboa, J. V.; Gomes, C.F. Gestão de Operações, 2ª ed., Vida Económica, Porto, 2008.