Topic outline

  • General

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    The course will start  8:15 on Tuesday the 8th of January 2019 at Lecture hall U351.

    Lectures are given in U351 on Tuesdays 8.15 - 9.45 and in K3/118 on Thursdays 14.15 - 15.45 during period III. There is no lecture on Thursday the 24th of January and Thursday the 14th of February.

    Computer classes take place in Maari-C 14:15-16:00 on Fridays 18.1., 1.2., (no exercise on 25.1.) and  8.2.

    Four project assignments are done in groups of 2 students. Registration to groups takes place in Oodi.

    Assignment report dead lines are two weeks from computer classes at noon: 1)  Optimization/Factory location: 1.2., 2) Data fitting: 15.2., 3) Optimization/Flow shop: 22.2., 4) Optimization/Aggregate planning: 1.3. Submission in MyCourses.


    Literature

    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 addition:

    - 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.
    In your analysis, explain what you get as your results and try to explain why the system and results behave as they do. Make academic and/pr practical conclusions.


    Grading of examination

    • There will be four questions, each 0 - 5 p. => max. points 20