OVERVIEW

The course aims at providing 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, 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 Supply Chain Management; it will provide management techniques (decision theory, mathematical 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 spreadsheet Excel and optimization software.

AIMS AND LEARNING OUTCOMES

The course aims at providing tools to face strategic, tactical and operational decisions in the Supply Chain Management.

The course will provide management techniques such as decision theory, 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.

At the end of the course students will be able to:

• analyse a decision problem and understand the best way to face it

• apply different criteria to evaluate the alternatives by using to Payoff Table

• formulate a decision problem and implement a mathematical linear programming model (integer-binary)

• solve some of the typical problems in the supply chain management (network design, production, distribution, inventory)

• critically analyse the solutions obtained by assessing their correctness and feasibility

• carry out scenario analyses and compare the alternatives

PREREQUISITES

Matrices and linear systems

Functions of a real variable

TEACHING METHODS

Traditional lectures in Italian are integrated with lab lessons, seminars and individual/group works.

Please note that,  if required by the health and epidemiological situation, lessons will be on line via the Teams platform. Updated information will be available on Aulaweb.

SYLLABUS/CONTENT

9 ECTS course

Analysis of some problems in the supply chain management: production, scheduling, transportation and distribution problems; network design problems; inventory management and forecasting. Project management: analysis of costs and times.

Methods: Decision theory,  Linear, Integer and binary programming, multi-objective optimization, graph theory, what if analysis, CPM tecniques. Some software will be used for solving the analysed problems (i.e. LINDO, MPL, Excel)

6 ECTS course

Analysis of some problems in the supply chain management: production, scheduling, transportation and distribution problems; network design problems.Project management: analysis of costs and times.

Methods: Decision theory, Linear, Integer and binary programming, graph theory, what if analysis, heuristics. Some software will be used for solving the analysed problems (i.e. LINDO, MPL, Excel)

RECOMMENDED READING/BIBLIOGRAPHY

Hillier, Lieberman, Introduction to Operations Research, McGraw-Hill 2009.
Clement, Robert T., Reilly, Terence. Making hard decisions with decisiontools suite, South Western Pub, 2013.
Slides and papers on AULAWEB

TEACHERS AND EXAM BOARD

Exam Board

DANIELA AMBROSINO (President)

CARMINE CERRONE

ANNA FRANCA SCIOMACHEN

ELENA TANFANI

LESSONS

LESSONS START

September 2022

Class schedule

OPERATIONS RESEARCH FOR MANAGEMENT

EXAMS

EXAM DESCRIPTION

Written examination and presentation of case studies.

Please note that the written examination will be replaced by an oral one (via the Teams platform) if required by the health and epidemiological situation. Updated information will be available on Aulaweb.

ASSESSMENT METHODS

The knowledge on the topics covered in class will be assessed through the written examination

The ability to apply knowledge and communication skills will be assessed through the projects work and thier presentation.
The evaluation will concern:
1) the work in the classroom
2) the organization of the work for the information collection  
3) compliance with deliveries
4) project presentation (ppt: completeness/ logical sequence of the contents; oral presentation: language appropriateness)
 

Exam schedule

FURTHER INFORMATION

see the webpage dedicated to incoming-erasmus-students

OR contact: 

ambrosin@economia.unige.it