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.

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

Tasks (max. achievable points = 100)

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

Grading scale:

• Excellent (1): 87.5% - 100.0%
• Good (2): 75.0% - <87.5%
• Satisfactory (3): 62.5% - <75.0%
• Sufficient (4): 50.0% - <62.5%
• Fail (5): <50.0%

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

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 0977 Location Analytics and Geospatial Data 1 (LAGD 1)

Participation is restricted to MSc SCM students.