The course aims to provide knowledge of some math programming techniques to solve strategic, tactical and operational problems arising in supply chain management. The definition of evaluation criteria for possible solutions, the development of mathematical models and heuristic methods for determining the optimal solution, optimum Pareto solutions are the focus of the course.
The course aims at providing tools to face strategic, tactical and operational decisions in the Supply Chain Management; it will provide management techniques(math programming, scenario analysis). The consolidation of the proposed methodologies is supported by the development of case studies; models will be implemented and solved thanks to optimization software and spreadsheet Excel.
Analysis of some problems in the supply chain management: production, scheduling, transportation and distribution problems; network design problems; inventory management and forecasting.
Methods: Linear, Integer and binary programming, multi-objective optimization, graph theory, what if analysis, heuristics. Some software will be used for solving the analysed problems (i.e. LINDO, MPL, Excel)
G. Ghiani, G. Laporte, R. Musmanno, Introduction to Logistics Systems Management, Wiley, 2013, 2nd Edition Hillier, Lieberman, Introduction to Operations Research, McGraw-Hill 2009. Slides and papers on AULAWEB
Ricevimento: It will be defined at the beginning of the course. Information about office hours and related variations will be communicated on aulaweb
DANIELA AMBROSINO (President)
ANNA FRANCA SCIOMACHEN
18 September 2017
OPERATIONS RESEARCH FOR MANAGEMENT
Written examination and presentation of case studies
Written examination and presentation of case studies.
http://www.economia.unige.it/index.php/english/incoming-erasmus-students
