The course will start 8:15 on Tuesday the 12th of January 2021 in Teams.
You should receive a Teams code by email before the first lecture, provided that you have signed-up in Oodi.
Lectures are given in Teams on Tuesdays 8.15 - 9.45 and on Thursdays 14.15 - 15.45 during period III.
Computer classes take place in Teams (remotely in Maari-C) 14:15-16:00 on Fridays 22.1. (Optimization / Excel Solver), 29.1. (Data fitting) and 12.2. (Optimization / CPLEX)
Four project assignments are done in groups of 2 students. Pair formation is free:
find a friend, work together and submit one report for each project assignment with the names of both members of the group on it. You can find your group (and data) number beside your study book number
in the first assignment data file. For a group of two students, select the
first in the list. If you wish, you may do the assignments alone.
Assignment report dead lines are two weeks from computer classes or relevant lecture at noon: 1) Optimization/Factory location 5.2., 2) Data fitting 12.2., 3) Optimization/Flow shop 26.2., 4) Optimization/Aggregate planning 5.3. - Submission in MyCourses.
The following are listed in Oodi:
- Factory physics: foundations of manufacturing management / Wallace J. Hopp, Mark L. Spearman.
- Design and analysis of lean production systems / Ronald G. Askin, Jeffrey B. Goldberg.
- Planning and scheduling in manufacturing and services / Michael L. Pinedo.
- Lecture notes.
- In Aalto library e-books / Knovel you can find Operations Research / Yadav, S.R.; Malik, A.K. (2014). This covers optimization and queuing theory, but since it is a text book, presented differently form lectures and lecture material.
- Matlab Neural Network Toolbox help contains a thorough introduction to neural networks.
- Any statistics textbook covers linear regression modeling.
Grading of Course
- Based on total points: maximum 40 p. for assignments + 20 p. for examination = 60 p
Grading of assignments
- Based on report; see separate instruction
- Same general criteria as is used for any other report (see e.g. School of Engineering ”Master’s thesis guidelines”) is applied
- Scale 1 – 10 p / assignment:
- 1-2 points: you have done some modeling and experimentation, but your models are seriously wrong and your experimentation is rubbish.
- 3-4 points: you have done the modeling and experimentation, but there are deficiencies and/or analysis is not adequate
- 5-6 points: experimentation is well designed and analysis and conclusions are covering and correct
- 7-8 points: extra problems are answered in addition to basic problem.
- 9-10 points: All basic and extra modeling, experimentation, analysis and conclusions are complete and correct. Report is logical, well organized and easy to read.
- There will be four questions, each 0 - 5 p. => max. points 20