Operations Management
Keywords |
Classification |
Keyword |
OFICIAL |
Operations Management |
Instance: 2012/2013 - 1S
Cycles of Study/Courses
Teaching language
English
Objectives
1-BACKGROUND: The effectiveness of Production Systems is a source of competitive advantage for companies or countries. Operations Management provide guidelines on how to design, organize, operate and control systems of people, raw materials, equipment and facilities in order to serve the customers of products or services in competitive terms.
2-SPECIFIC AIMS: The aim of this course is to provide the students an integrated vision of important concepts, techniques and strategies of the Production/Operations Management. By completing the course, one expects that the students acquire a global vision of the concepts, problems and available tools, enabling them to take better decisions in the scope of the field of study. The students are expected to better analyze production situations, recognizing “trade-offs” between Cost, Quality, Time and Flexibility in devising solutions for competitive systems. They should be aware of the Strategic, Tactical and Operational levels of the decisions to be taken.
3 - PREVIOUS KNOWLEDGE
Material Source
Statistical Distributions Statistics I
Linear Programming Operational Research I
Integer Programming Operational Research II
4 - PERCENTUAL DISTRIBUTION
Scientific component 20%
Technological component 80 %
5 – LEARNING OUTCOMES
Knowledge and Understanding – Understand the importance of Operations Management to obtain competitive advantages in the market; Know the main methods to deal with the problems faced to manage the main types of production organization.
Engineering Analysis – Student will be able to use tools of process analysis to better describe the problems faced or to do diagnostics of existing systems to prioritize improvements.
Engineering Design – Students will better understand the connections between Product and Process design, taking in account the production volume forecasted and the economic implications of the decisions taken at the start of the project.
Investigations – The use of internet resources and DVD of the main book is required to obtain a better understanding of the field of study.
Engineering Practice – The use of several simulations during the practical sessions and the two full days of “immersive” dedication to a “digital production simulator” (elective) provides “hands-on” experience in better solving production problems. Solving the proposed cases promotes team skills and applying the tools learned.
Transferable Skills - Students should be able to use the skills of “connect the dots” between different sides of the problems and manage the interactions of the proposed solutions to more complex problems.
Program
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).
Strategic Capacity Management.
Just-in-Time, with special reference the techniques of setup-time reduction (SMED)
Introduction to the ERP concept (Entreprise Resource Planning Systems).
Aggregate Sales and Operations Planning
Inventory Control: Deterministic and Dynamic models (including SilverMeal heuristic and the Algorithm of Wagner-Whitin).
MRP-Material Requirements Planing.
Operations Scheduling: Priority Rules;. Gantt.Charts;.
Linear programming and Optimization for Production Management.
Synchronous Manufacturing and Theory of Constraints (Goldratt).
Mandatory literature
Chase, Richard B.;
Operations management for competitive advantage. ISBN: 0-07-121555-7
Complementary Bibliography
Hopp, Wallace J.;
Factory physics. ISBN: 0-07-116378-6
Eliyahu M. Goldratt;
Production the TOC way. ISBN: 0-88427-175-7
Teaching methods and learning activities
The concepts and techniques will be supported through practical exercises, cases and resolution of problems in “facility” simulator. Computers, "datashow" and a lot of white board are used as teaching support. Report writing and presentation techniques of results are requested. Team work is promoted.
Software
Simulador de Produção
Microsoft EXCEL
LEKIN
keywords
Technological sciences > Engineering > Industrial engineering
Evaluation Type
Distributed evaluation without final exam
Assessment Components
Description |
Type |
Time (hours) |
Weight (%) |
End date |
Attendance (estimated) |
Participação presencial |
56,00 |
|
|
1st Test |
Exame |
2,00 |
|
|
Case |
Trabalho escrito |
44,00 |
|
|
2nd Test |
Exame |
2,00 |
|
|
Home work |
Teste |
26,00 |
|
|
|
Total: |
- |
0,00 |
|
Amount of time allocated to each course unit
Description |
Type |
Time (hours) |
End date |
Internet Search |
Estudo autónomo |
6 |
|
Study |
Estudo autónomo |
26 |
|
|
Total: |
32,00 |
|
Eligibility for exams
Not to exceed nº limit of absences.
Calculation formula of final grade
i)Case: 20%.
ii)2 Tests (each 40%): 80% .
Minimum note in each Test: 6. average > 9 values in 20.
To validate a grade >=18, you must take an oral questioning.
Examinations or Special Assignments
2 full days workshop (computer simulation of a plant) is elective and does not contribute for final grade.
For approval in this course in case of "Special Evaluation" (Working Students, etc), at the same day of final exam the student must solve a final case (20% of final grade).
Special assessment (TE, DA, ...)
A final exam at the exam season proposed by FEUP (80%) plus at the same day of final exam the student must solve a final case (20% of final grade).
Classification improvement
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%).