Operations Management

Code:

EIG0029

Acronym:

GP

Keywords
Classification	Keyword
OFICIAL	Operations Management

Instance: 2011/2012 - 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	57	Syllabus since 2006/2007	4	-	6	56	160
MIEM	62	Syllabus since 2006/2007	5	-	6	56	160
PRDEIG	3	Syllabus since 2007/08	1	-	6	56	160

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” 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).
Applied Production Workshop (computer simulation game).

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
LEKIN
Microsoft EXCEL

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
Production Workshop	Trabalho laboratorial	16,00		2011-10-29
1st Test	Exame	2,00
Case	Trabalho escrito	44,00
2nd Test	Exame	2,00
Home work	Teste	20,00
	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	20
	Total:	26,00

Eligibility for exams

Not to exceed nº limit of absences.

Calculation formula of final grade

i)Case: 20%.
ii)Tests: 60%
iii)Workshop: 20%
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

A "field trip" to an industrial plant is organized, limited to bus/plant capacity.