Production Management
Code
2641
Academic unit
Faculdade de Ciências e Tecnologia
Department
Departamento de Engenharia Mecânica e Industrial
Credits
6.0
Teacher in charge
Ana Paula Ferreira Barroso, António Carlos Bárbara Grilo
Weekly hours
4
Total hours
56
Teaching language
Português
Objectives
The purpose of this course is to introduce students to a broad introduction to the field of production and operations management in a realistic and practical way, which includes a blend of methodologies, techniques and tools in the scope of industrial engineering, management, and management science.
Therefore, students should be able to understand both how production and operations management contributes positively to the effective and efficient management of organizations and the importance of an integrated management of the organizations that constitute a supply chain. It is intended that students be able to (i) have an overview of a comprehensive set of planning and management models, (ii) identify and characterize various production environments, characterize the main production costs and production capacities, (iii) establish aggregate plans and master production plans, (iv) identify and characterize classical management of inventory models (v) define material and resource requirements, (vi) apply methods to support production management and control, and (vii) develop skills that enable them to identify and adopt the most appropriate models for management support and control.
Subject matter
1. Introduction. Production and Operations Management
1.1 Production and operations management
1.2 Competitiveness versus productivity
1.3 Productivity measures
2. Strategic Production Management
2.1 Process strategies
2.2 Assembly-line balancing
2.3 Theoretical and balancing efficiency
3. Medium Range Production Planning
3.1 Capacity planning
3.2 Aggregate planning
3.3 Master production schedule
4. Inventory Management
4.1 ABC analysis
4.2 Inventory systems
4.3 Inventory models for constant and independent demand
4.4 Safety stock
5. Forecasting Models
5.1 Importance in planning
5.2 Type of forecasting models
5.3 Time series and their components
5.4 Absolute and relative forecast errors
5.5 Smoothing models
6. Material Requirements Planning
6.1 Lot sizing techniques
7. Manufacturing Resource Planning
8. Short-term Scheduling
8.1 Loading jobs
8.2 Sequencing jobs
9. Supply Chain Management
Bibliography
Krajewski L. J., Malhotra M. K., Ritzman L. P. (2015) Operations Management. Processes and Supply Chains, Pearson Education Limited, 11th ed., Global edition, Harlow, England.
Slack N., Brandon-Jones A., Johnston R. (2016) Operations Management, Pearson Education Limited, 8th ed., Harlow, England.
Heizer J. e Render B. (2011) Operations Management, Pearson/Prentice Hall, 10th ed., New Jersey.
Stevenson W.J. (2006) Production/Operations Management, Irwin/ McGraw-Hill, 9th ed., Boston.
Roldão V.S. e Ribeiro J.S. (2007) Gestão das Operações. Uma Abordagem Integrada, Monitor, Lisboa.
Teaching method
In lectures the expositive method is adopted to present concepts, methods and models. Oral questions are frequently made for prerequisite control, knowledge assessment and stimulate students’ participation.
In laboratory sessions the experimental method is adopted. Active methods are used. The students are challenged with multifaceted problems, which should be solved. Also, case studies are analyzed and discussed. Sometimes teamwork is required.
Evaluation method
The curricular unit assessment will be based on 3 closed-book Tests (T1, T2 and T3):
T1 - 03th April, 16:30h; 25%
T2 - 08th May, 16:30h; 40% e
T3 - 12th June, 09:00h; 35.0%.
It is only allowed to use scientific calculator.
Students must attend at least 6 lectures and 6 practical classes.
Final grade = weight average (T1, T2, T3) (T3: at least 7 out of 20)
or
Final grade = Final exam
A student is approved if the final grade is at least 9.5 out of 20.