Engineering Study Programs at UNIFEI
– Including orientation for Undergraduate Final Paper
Project Management (45h)
Prof. João Batista Turrioni
Goal: Project management of a real problem using peer instruction
Topics:
- Project Management
- Roadmap of problem solution
- Real projects
- Communication
Reference:
- Light, G.; Micari, M. (2013). Making scientists: six principles for effective college teaching
- Novak, G; Patterson, E. (1999). Just in time teaching: Blending Active Learning with web technology
- Mazur, E. (1999). Peer Instruction: A user´s Manual
Applied Statistics (45h)
Prof. João Batista Turrioni
Goal: This undergraduate level course provides an introduction to the basic concepts of probability, common distributions, statistical methods, and data analysis.
This course will use the statistical software program Minitab.
Topics:
- Descriptive Statistics
- Probability Distribution
- Parameter Estimation
- Hypothesis Testing
- Analysis of Variance
- Design of Experiments
Reference:
- Montgomery, Runger and Hubele, Engineering Statistics.5th edition
Production Planning and Control (45h)
Prof. Fabio Favaretto
Goal: To know the basic principles of production planning using hierarchic methods and effective usage of production resources.
Topics:
- Overview of production planning
- Demand planning
- Capacity planning
- Aggregate production planning
- Master plan scheduling
- Materials requirements planning
- Production Scheduling
Reference:
- Slack, N. Brandon-Jones; A.; Johnston, R.; Betts, A.; (2011). Operations & Process Management, 4th ed., Trans-Atlantic Publications, Inc
- Stevenson, W. J. (2014). Operations Management, McGraw-Hill Education
Six Sigma (45h)
Prof. Pedro Paulo Balestrassi
Goal: Development of a Six Sigma Project
Topics:
- Define
- Measure
- Analysis
- Improve
- Control
- DFSS
Reference:
- Keller, P. (2010). Six Sigma Demystified, 2nd Edition
- Cudney, E (2016). Design for Six Sigma: A Practical Approach through Innovation
Forecasting (45h)
Prof. Rafael Leme
Goal: This course provides a working knowledge of forecasting methods. Techniques in univariate forecasting using exponential smoothing, regression methods for time series data, stationary and non-stationary time series models for seasonal and non-seasonal time series data and model selection procedures are covered. The emphasis is on methods and the analysis of time series data using the Minitab statistical software.
Topics:
- Introduction to Forecast
- Statistical Background for Forecasting
- Regression Analysis and Forecasting
- Exponential Smoothing Methods
- ARIMA
Reference:
- Introduction to Time Series Analysis and Forecasting (Montgomery / Jennings / Kulahci)
Business Logistics (45h)
Prof. Renato Lima
Goal: Development of Project-Based Learning in a logistic/SCM subject
Topics:
- Logistics / SCM
- Logistic Service Level
- Distribution Channels
- Distribution Logistics
- Transport Fundamentals
- Storage and Handling
- Reverse Logic
Reference:
- Christhopher, M. Logistics & Supply Chain Management (5th Edition)
Simulation (45h)
Prof. José Arnaldo Barra Montevechi
Goal: In this course, we will present and discuss the simulation to discrete events.
Topics:
- Introduction to simulation
- Simulation terminology
- Simulation modeling method
- An introduction to discrete event simulation software
- Case study
Reference:
- Harrell; Ghosh; Bowden; “Simulation using promodel”, McGraw Hill, 2000
- Harrel; Mott; Bateman; Bowden; Gogg; “System improvement using simulation”, Promodel Corporation, 1996
- Banks, J.; Carson, J.; Nelson B. L.; Nicol, D. “Discrete-Event System Simulation”, Fourth Edition. Prentice Hall – 2004
Optimization (45h)
Prof. Anderson Paulo Paiva
Goal: Basic theory and methods for the solution of optimization problems; iterative techniques for unconstrained minimization; linear and nonlinear programming with engineering applications.
Topics:
- Introduction and review of fundamentals
- Unconstrained optimization
- Optimization subject to equality constraints
- Nonlinear programming
- Linear programming
- Selected topics from dynamic programming, large-scale programming, and multicriteria optimization
Reference:
- Ashok D. Belegundu and Tirupathi R. Chandrupatla, Optimization Concepts and Applications in Engineering