Logistics | Università degli Studi di Milano Statale

A.Y. 2024/2025

Max ECTS

Overall hours

SSD

MAT/09

Language

Italian

Included in the following degree programmes

Mathematics (Classe LM-40)-Enrolled from 2012/13

Computer Science (Classe LM-18)-Enrolled from 2014/2015 Until 2024/2025 Academic Year

Learning objectives

The course describes the supply chain operations and functions and the problems related to planning and management of logistic systems, with particular emphasis on optimization problems and on computational techniques to solve them.

Expected learning outcomes

Ability in framing and solving optimization problems in logistics.

Lesson period: First semester

Lessons timetable

Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi

Exams calendar

Single course

This course can be attended as a single course.

Take a single course

Course syllabus and organization

Single session

Responsible

Trubian Marco

Lesson period

First semester

Syllabus

Course syllabus

1- The supply chain. Terminology and definitions. Description of the logistics chain and its main components.

2- Forecasting. The problem of demand forecasting. Different models and algorithms for demand forecasting. The least squares method and simple linear regression.

3- Localization of logistic structures. Models and algorithms for localization in space and on graphs.

4- Inventory management. Models of stock systems. Systems with continuous and discrete replenishment. Single product and multi-product systems. Single deposit and multi-deposit systems. Economic order quantity.

5- Theory of queues. Definitions and properties of queue systems. Modelling and analysis of queue systems. Brief introduction to a simulation sw for simple queue systems.

6- Distribution logistics. Routing problems. Vehicle routing with additional constraints and heuristic algorithms for the solution. Packing problems very good. Mathematical models and algorithms.

7- Production logistics. Batch sizing problems. Mathematical models and solving algorithms. Overview of scheduling problems. Mathematical models and solving algorithms.

Prerequisites for admission

Operations Research (recommended)

Teaching methods

Lectures and exercises on personal laptop with dedicated sw.

Teaching Resources

Introduction to Logistics Systems Management: With Microsoft Excel and Python Examples, 3rd Edition
Gianpaolo Ghiani, Gilbert Laporte, Roberto Musmanno
ISBN: 978-1-119-78939-0 October 2022

Recommended texts for part of the course:
chapter 17. Queuing theory ofthe book
Introduction to operations research
Frederick S. Hillier, Gerald J. Lieberman.
New York, New York : McGraw-Hill Education (2021)
ISBN : 9781260579376

Michael L. Pinedo
Scheduling
Theory, Algorithms, and Systems
6th edition: Springer Nature Switzerland AG 2022
ISBN:978-3-031-05920-9
ISBN:978-3-031-05921-6 (eBook)

Assessment methods and Criteria

The exam consists of a written test, which includes open-ended questions and exercises (to be held in the laboratory with the help of dedicated sw), and an interview.
The test is aimed at evaluating the understanding and learning of the systems, models and algorithms studied in the course.

Course structure

MAT/09 - OPERATIONS RESEARCH - University credits: 6

Lessons: 48 hours

Professor: Trubian Marco

Shifts:

Turno

Professor: Trubian Marco

Educational website(s)

LOGISTICA (a.a. 2024/25)

Professor(s)

Trubian Marco

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