Code: | EM0129 | Acronym: | GP |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Management |
Active? | Yes |
Responsible unit: | Department of Industrial Engineering and Management |
Course/CS Responsible: | Master in Mechanical Engineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
MIEM | 39 | Syllabus since 2006/2007 | 5 | - | 6 | 45,5 | 162 |
The aim of this course is to provide the students an integrated vision of important concepts, techniques and strategies of the Production Management. One expects that the students acquire a global vision of the concepts, problems and available tools, enabling them to take better decisions. The students are expected to better analyze production situations, recognizing “trade-offs” between Cost, Quality, Time and Flexibility in devising solutions for competitive systems.
Understand the importance of OM to obtain competitive advantages; Know methods to deal with problems faced to manage the production organization.
Students will better understand the connections between Product and Process design, taking in account the production volume and the economic implications of the decisions made at the start of the project.
The use of simulations during the practical sessions and the “digital production simulator” (elective) provides experience in solving production problems.
Material Source
Statistical Distributions Statistics
Linear Programming Operational Research
Introduction to the field of study: Operations Strategy and Competitive Dimensions: Cost, Quality, Time and Flexibility (and its Trade-Offs).
Process Analysis.
Facility Layout (including assembly-line balancing).
Aggregate Sales and Operations Planning.
TPS (Toyota Production System), with special reference to the techniques of setup-time reduction (SMED).
Lot sizing: Variable Demand Deterministic models (including Silver-Meal heuristic and the Algorithm of Wagner-Whitin – Dynamic Programming). Optimization using MIP.
Operations Scheduling: Gantt Charts. Priority Rules;
Synchronous Manufacturing and Theory of Constraints (Goldratt).
The theoretical concepts and techniques will be transmitted using presentations during the lectures, promoting some debate and discussion of issues related to the scope of the course.
The practical application of knowledge will be promoted through exercises, case studies and problem solving in computer simulators. Computers, "data show" and whiteboard are used as supporting tools for learning.
The final case study requires an articulation of the various acquired knowledge in the course and the experimentation of alternative solutions. A written report regarding this case trains structured communication skills. It also promotes the ability to work in teams.
Designation | Weight (%) |
---|---|
Teste | 80,00 |
Trabalho escrito | 20,00 |
Total: | 100,00 |
Designation | Time (hours) |
---|---|
Estudo autónomo | 117,00 |
Frequência das aulas | 45,00 |
Total: | 162,00 |
Not to exceed nº limit of absences.
i)Case: 20%. ii)2 Tests (each 40%): 80% . Minimum note in each Test: 6,0; Average Tests >= 9,0 values in 20. To validate a grade >=18, you must take an oral examination.
2 full days workshop (computer simulation of a plant) is elective and does not contribute for final grade.
A final exam (100%).
It may be made at next occurrence of the course, doing both tests, or doing a final exam at the exam season proposed by FEUP (80%) plus the grade obtained at the final case (20%).