Production Management
3
2023-2024
01006049
Industrial Engineering
Portuguese
Face-to-face
SEMESTRIAL
6.0
Compulsory
1st Cycle Studies
Recommended Prerequisites
Statistichal Analysis of Data.
Teaching Methods
Theoretical lectures to present the several concepts of the curricular unit. In this lectures several audio visual tools are used to illustrate the several concepts presented during the course.
Practical lectures for problem solving. The problems are selected to be near the one usually found in practice. The problems are solved by student groups and the teacher helps them to overcome the difficulties that are found.
In field visit studies to companies are made during the semester to allow the student to see the practical application of the curricular unit subjects.
Learning Outcomes
This course introduces students to a set of quantitative tools typically used in the field of operations management. These tools will be used to solve problems in downstream disciplines of the study cycle.
At the end of the course the student should: (1) understand the importance of forecasts for planning and know how to make predictions based on historical data; (2) know the main types of factory layouts and design simple layouts, (3) realize the importance, advantages and disadvantages of stocks and know how to size them for scenarios with and without uncertainty and (4) understand the concept of project and to know how to plan it, essentially with respect to timing decisions.
Work Placement(s)
NoSyllabus
1. Forecasting; importance, errors, causal models (linear regression), time series based models (classical decomposition, exponential smoothing, Holt and holt winters models);
2. Layouts and Assembly lines.
3. Inventory management: importance, costs, deterministic models (economic order quantity, quantity discounts, continuous replenishment) and probabilistic models (uncertainty in demand, lead time and demand and lead time).
4. Project Management – PERT/CPM.
Head Lecturer(s)
Telmo Miguel Pires Pinto
Assessment Methods
Assessment
Synthesis work: 25.0%
Frequency: 75.0%
Bibliography
Silva C e Magalhães J. “Slides de apoio à disciplina de gestão de operações”.
Dilworth, J. (2003) “Operations Management – Design, planning and control for manufacturing and services”, Mc Graw Hill.
Roldão, V. S. e Ribeiro, J. S. (2007) “Gestão de operações – Uma abordagem integrada”, Monitor.