Course Unit Profile

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Basic Information

Course Unit Title: INTRODUCTION TO LOGISTICS

Course Unit Code: 255AA

Level of course unit

Second Cycle (Laurea magistrale) Degree Programme in Business Informatics

Year of study

First year

Semester when the course is delivered

First semester

Number of ECTS credits allocated: 6

Name of Lecturer(s):

Prof.: Maria grazia Scutella'
Email: maria.grazia.scutella@unipi.it

Language of instruction

English

General Information

Learning outcomes

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.



Course contents

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


Specific Information

Prerequisites, co-requisites, as a prerequisite for further study

Prerequisites

For this course the prerequisite/s is/are

Co-requisites

None.

Prerequisite for

None.

Mode of delivery

Delivery

face to face

Attendance

Advised

Teaching methods

Learning activities

Recommended or required reading

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.


Assessment methods and criteria

Assessment methods

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.

Assessment criteria

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.

Work placement

Yes

Description

During the course several examples will be presented, together with the solution of simple Logistics problems by means of spreadsheet solvers.

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