Decision making in logistics

Unit Coordinator: Juan-José Ramos, Liana Napalkova
Programme: Erasmus Mundus
ECTS Credits: 9
Semester: 1
Year: 2
Campus: Autonomous University of Barcelona
Language: English
Aims:

To deepen in the modelling methods and quantitative techniques aimed to support the decision making process in logistics and supply chain management.

To practice the workflow from the recognition and analysis of a real case problem, to the identification of the feasible activities, and to the selection of good solutions.

Practical problems studied include demand forecasting, production planning, warehouse and inventory management, and transport networks.

Content:
  • Introduction to decision making.
  • Linear and integer programming, constraint programming, artificial intelligence methods in optimisation.
  • Production planning.
  • Scheduling problems (job sequencing, resource allocation).
  • Heuristics in transport planning.
Reading list:

Main textbooks:

  • Hartmurt Stadlert and Cristoph Kilger (Eds.) Supply Chain Management and Advanced Planning. Third Edition. Springer, 2005.
  • Ioannis T. Christou. Quantitative Methods in Supply Chain Management. Models and Algorithms. Springer, 2012.
  • H. Paul Williams. Model Building in Mathematical Programming. Wiley. 2013 (5th edition)

 

Further readings:

  • Joseph Geunes, Panos M. Pardalos and H. Edwin Romeijn (Eds.) Supply Chain Management: Models, Applications, and Research Directions. Kluwer Academic Publishers, 2002. 
  • F. Robert Jacobs, William L. Berry, D. Clay Waybark and Thomas E. Vollmann. Manufacturing Planning and Control for Supply Chain Management. McGraw-Hill, 2011 (6th edition).
  • F. Robert Jacobs and Richard B. Chase. Operations and Supply Chain management. McGraw-Hill Irwing, 2011 (13 th edition).

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