Syllabus

Title
2240 Location Analytics in Supply Chain Management 2 (LA 2)
Instructors
Assoz.Prof PD Dr. Vera Hemmelmayr, Ass.Prof. Mag.Dr. Petra Staufer-Steinnocher
Contact details
petra.staufer-steinnocher@wu.ac.at
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/07/20 to 09/07/20
Registration via LPIS
Notes to the course
Die Lehrveranstaltung wird nur im WS angeboten.
Subject(s) Master Programs
Course I - Location Analytics and Geospatial Data
Course II - Location Analytics and Geospatial Data
Dates
Day Date Time Room
Tuesday 11/24/20 09:00 AM - 12:30 PM Virtueller PC-Raum S
Tuesday 12/01/20 09:00 AM - 12:30 PM Virtueller PC-Raum S
Tuesday 12/15/20 09:00 AM - 12:30 PM Virtueller PC-Raum S
Tuesday 12/22/20 09:00 AM - 12:30 PM Virtueller PC-Raum S
Tuesday 01/12/21 09:00 AM - 12:30 PM Virtueller PC-Raum S
Tuesday 01/19/21 09:00 AM - 12:30 PM Virtueller PC-Raum S
Tuesday 01/26/21 09:00 AM - 12:30 PM Virtueller PC-Raum S

On this page:

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Procedure for the course when limited activity on campus

The class in Location Analytics in Supply Chain Management will be held in full distance mode. Even in the remote format, the sessions will take place within the announced time slots via MS Teams and virtual PC Labs, including software tutorials and online coaching.

The defined assignments will still be held in the regular format (also see syllabus section "Assessment").  The conditions of the final exam will be the same for every class participant and, hence, in distance mode an online exam.

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Contents

In this course, the major issues are the application of methodological and technical skills to real-world network-based transportation and supply chain modeling problems, and the critical discussion of results which are presented in the literature. Students are supposed to carry out case studies in small teams in which they apply the relevant theories, methods and techniques discussed during the lectures in LAGD-1, and learn to use appropriate software tools.

Main topics covered in case study projects are:

  • Locating facilities, e.g.,
    a new warehouse in a major retail chain,
    a new hub/spoke in an airline network
  • Allocating e.g.,
    customers to retail outlets,
    regional warehouses to a central warehouse,
    resources to production sites
  • utilizing cloud-based data and tools for publishing SCM decision support relevant information

Case study data, spatial network analysis and location analytics software tools like ArcGIS Desktop and ArcGIS Online as well as Open-Source Software like GeoDa, CrimeStat, GWR or SANET are made available.

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Learning outcomes

After successful completion of the class, students should be able to

  • link theory to empirical research in the field
  • read literature in a critical way and discuss relevant topics
  • analyse and solve small-scale real-world problems in selected industries and businesses
  • develop and present solutions in a team
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Attendance requirements

According to the examination regulation full attendance is intended for a PI. Absence in one unit is tolerated if a proper reason is given.

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Teaching/learning method(s)
  • case study-based team work
  • project management and seminar paper
  • presentations
  • discussions
  • case study coaching
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Assessment

Tasks (max. achievable points = 100)

  • active class participation (10)
  • case study projects development and documentation (70)
  • case study project presentations (20)
 

Grading scale:

(1) Excellent: 90% - 100%

(2) Good: 80% - <90%

(3) Satisfactory: 70% - <80%

(4) Sufficient: 60% - <70%

(5) Fail: <60%

 

Prerequisite for passing the course: minimum performance of 40% in the final examination.

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    Prerequisites for participation and waiting lists

    For incoming exchange students: 10 ECTS in Supply Chain Planning, Global Supply Chain Design, Transport/Logistics (Network) Management/Analysis/Planning, Operations Research, or Geographic Information Systems and Analysis, Spatial Business Intelligence/Location Analytics.

    Register together with course no 2239 Location Analytics in Supply Chain Management 1 (LA 1)

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    Recommended previous knowledge and skills

    Participation is restricted to MSc SCM students.

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    Availability of lecturer(s)

    Office hours: please, send email to petra.staufer@wu.ac.at and/or vera.hemmelmayr@wu.ac.at to make an appointment

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    Other
    Course material: There is no traditional course text but a limited number of readings are provided on the learn@wu platform.
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    Unit details
    Unit Date Contents
    1 Unit 1

    Introduction to Case Studies

    Students discuss about case study decision and first ideas for research proposals

    Academic writing wrap-up
    2 Unit 2

    Class project proposal presentation, discussion (per group ~10-15 min, 10 min discussion)

    case-study coaching & assistance with respect to data, methodological and technical concerns
    3 Unit 3

    Class project proposal updates, discussion

    case-study coaching & assistance with respect to methodological and technical concerns
    4 Unit 4

    Progress reports, discussion and coaching (~15-20 min per group, 10 min discussion)
    5 Unit 5

    Discussion and on-demand project coaching
    6 Unit 6

    Discussion and on-demand project coaching
    7 Unit 7

    Final presentation and discussion of class projects
    Last edited: 2020-10-03



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