OVERVIEW

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.

AIMS AND CONTENT

LEARNING OUTCOMES

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.

SYLLABUS/CONTENT

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)

RECOMMENDED READING/BIBLIOGRAPHY

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
 

TEACHERS AND EXAM BOARD

Exam Board

DANIELA AMBROSINO (President)

ANNA FRANCA SCIOMACHEN

LESSONS

LESSONS START

18 September 2017

Class schedule

OPERATIONS RESEARCH FOR MANAGEMENT

EXAMS

EXAM DESCRIPTION

Written examination and presentation of case studies

ASSESSMENT METHODS

Written examination and presentation of case studies.

Exam schedule

FURTHER INFORMATION

http://www.economia.unige.it/index.php/english/incoming-erasmus-students