Scheda programma d'esame
LOGISTICS
MARIA GRAZIA SCUTELLA'
Anno accademico2017/18
CdSDATA SCIENCE AND BUSINESS INFORMATICS
Codice255AA
CFU6
PeriodoPrimo semestre
LinguaItaliano

ModuliSettoreTipoOreDocente/i
LOGISTICSMAT/09LEZIONI48
MARIA GRAZIA SCUTELLA' unimap
Programma non disponibile nella lingua selezionata
Learning outcomes
Knowledge

The student who successfully completes the course will have a solid background about the main modeling techniques and the 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 spreadsheet solvers.

Assessment criteria of knowledge

During the oral exam the student must be able to demonstrate his/her knowledge of the course material, and he/she must be able to discuss the main course contents using the appropriate terminology.

Methods:

  • Final oral exam
  • Written report

Further information:
The written report, related to a project work that can be solved individually or in group, will contribute with a bonus (maximum +2) to the grade of the oral exam.

Teaching methods

Delivery: face to face

Learning activities:

  • attending lectures
  • preparation of oral/written report
  • participation in discussions
  • individual study
  • group work

Attendance: Advised

Teaching methods:

  • lectures
  • project work
Syllabus

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 spreadsheet solvers.

Further details can be found at http://didawiki.cli.di.unipi.it/doku.php/magistraleinformaticaeconomia/log/start.

Bibliography

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

Teacher notes as well as files of examples are also available at http://didawiki.cli.di.unipi.it/doku.php/magistraleinformaticaeconomia/log/start.

Ultimo aggiornamento 02/08/2017 09:37