Vrije Universiteit Amsterdam (VU) • Master Transport and Supply Chain Management
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Vakken Master Transport and Supply Chain Management op de Vrije Universiteit Amsterdam (VU)
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Populaire samengevatte boeken Vrije Universiteit Amsterdam (VU) • Master Transport and Supply Chain Management
Xavier Pierron, Dennis Sweeney • ISBN 9781473729322
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Graham Mallard, Stephen Glaister • ISBN 9780230516885
David R Anderson, Dennis J Sweeney • ISBN 9781439043233
Andrew E. Baum, David Hartzell • ISBN 9781444335286
Nieuwste samenvattingen Vrije Universiteit Amsterdam (VU) • Master Transport and Supply Chain Management
Summary OSCM of what is discussed during the lectures, tutorials what is relevant for the written exam. Note that Lecture 2 and 3 are not complete, I will upload a new one in the coming weeks.
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This is a summary of the lectures given during the course Transport Economics and Management that I wrote during the academic year of 2020/2021. I got a 9 for the exam using these notes.
These are lecture notes and basically a summary of the course Network Analysis made in the academic year of 2020/2021. I got an 8.5 for my exam using this notes.
In this document all the knowledge clips and extra information given in the lectures are summarized for the course Decision making in Supply Chains. The examples are also taken into account.
In this document all the lectures are elaborated, it is extensive. all the models are taken into account.
In this document are the lecture notes from all the lectures given, including the guest lectures. It is extensive and all models are included.
Summary of the lectures and cases of OSCM
complete summary of all the lectures for this course.
Summary of lectures and literature. Supply Chain Data Analytics is focused on furnishing you with methodological and technical skills to conduct data driven research in academic and industry projects in the TSCM domain. The main topics of the course are time series forecasting, regression, classification and clustering. The software tool R will be used to process and analyse the data sets.