Operations Management

Code:

EIG0029

Acronym:

GP

Keywords
Classification	Keyword
OFICIAL	Operations Management

Instance: 2014/2015 - 1S

Active?	Yes
Responsible unit:	Department of Industrial Engineering and Management
Course/CS Responsible:	Master in Engineering and Industrial Management

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEIG	78	Syllabus since 2006/2007	4	-	6	56	162

Teaching language

English

Objectives

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. 

Learning outcomes and competences

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.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

PREVIOUS KNOWLEDGE

Material                                 Source

Statistical Distributions           Statistics

Linear Programming               Operational Research

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).

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).

Mandatory literature

F. Robert Jacobs, Richard B. Chase ; contributor Rhonda R. Lummus; Operations and supply chain management. ISBN: 978-0-07-122090-3

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 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.

Software

Simulador de Produção
Microsoft EXCEL
LEKIN

keywords

Technological sciences > Engineering > Industrial engineering

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Teste	80,00
Trabalho escrito	20,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Estudo autónomo	106,00
Frequência das aulas	56,00
Total:	162,00

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: 6,0; Average Tests >= 9,0 values in 20. To validate a grade >=18, you must take an oral examination.

Examinations or Special Assignments

2 full days workshop (computer simulation of a plant) is elective and does not contribute for final grade. 

Special assessment (TE, DA, ...)

A final exam  (100%).

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%).