(INTRODUCTION TO LOGISTICS)
CdSDATA SCIENCE AND BUSINESS INFORMATICS
The student who successfully completes the course will have a solid background about the main modeling techniques and some basic algorithmic approaches for managing logistic systems, both at design and at operational level. Specifically, he/she will be able to formulate, in a mathematical way, relevant location and transportation problems. In addition, he/she will be aware of basic approaches related to project management and inventory problems. Furthermore, the student will be able to implement, solve and analyze simple logistics problems by means of an optimization solver.
The student's knowledge on models and methods in Logistics will be assessed during the oral examination. Furthermore, the student ability in modeling and analyzing simple logistics problems will be verified by means of a project and the associated written report.
At the end of the course the student will be able to formulate, in a mathematical way, relevant optimization problems, such as the ones arising in Logistics. Furthermore, he/she will be able to implement, solve and analyze simple logistics problems by means of an optimization solver.
Modeling and solving skills will be assessed via the project and during the oral examination.
The student will achieve competence in managing decision problems arising in Logistics and in developing mathematical based decision support systems.
Via exercizes and discussion with the students.
Basic notions of calculus and linear algebra.
- attending lectures
- preparation of written report
- participation to discussions
- individual study
- work in group
- project work
After an introduction to Linear programming (LP), Integer Linear Programming (ILP) and Network Flow Problems, the main location problems (i.e. basic facility location models, maximum distance models, total or average distance models and location problems in the public sector) and the main transportation problems (i.e. Vehicle Routing Problems) will be presented and formulated via ILP. PERT and CPM methods to project management and basic inventory policies will be then discussed. Several examples will be presented, together with the solution of simple logistics problems by means of an optimization solver.
Further details can be found at http://didawiki.cli.di.unipi.it/doku.php/magistraleinformaticaeconomia/log/start
Teacher lecture notes and files of examples are available at:
G. Ghiani, R. Musmanno. Modelli e Metodi per l'Organizzazione dei Sistemi Logistici, Pitagora, 2000
G. Ghiani, G. Laporte, R. Musmanno. Introduction to Logistics Systems Planning and Control, Wiley, 2004
C.T. Ragsdale. Spreadsheet Modeling & Decision Analysis, Fourth Edition, A Practical Introduction to Management Science, Thomson South-Western, 2004
Z. Drezner, H.W. Hamacher. Facility Location, Applications and Theory, Springer, 2002
P. Toth, D. Vigo. The Vehicle Routing Problem, SIAM, Monographs on Discrete Mathematics and Applications, 2002
- Written report
- Final oral exam
The written report, related to a project work that can be solved individually or in group, will contribute with a bonus (maximum +3) to the grade of the oral exam.