Lecturer: Federico Di Palma  

Course name: Logistica (mn)
Course code: 064189
Degree course: Ingegneria per l'Ambiente e il Territorio, Ingegneria Informatica
Disciplinary field of science: ING-INF/04
L'insegnamento è caratterizzante per: Ingegneria per l'Ambiente e il Territorio
The course relates to: Ingegneria per l'Ambiente e il Territorio
University credits: CFU 6
Course website: http://sisdin.unipv.it/labsisdin/teaching/courses/lls/l
ls.php

Specific course objectives

By the end of the course the students are expected to be able to model and solve basic logistic problems (production, transport, transhipment, and storage), to handle high dimension real problem using commercial tools (Lingo e MatLab), and to perform prediction of missing data performing simple time series analysis.

Course programme

The course aims to give basic notion of logistic and supply chain management economic problems. In particular, the lectures explain how to model some basic problems (production, transport and storage) as constrain optimization problems. The estimation of uncertain quantity, like the goods request, is another important issues addressed by the course. In fact, some lectures are devoted to fundamental of time series analysis. Practical lectures will show how to use commercial software (MatLab e Lingo) to handle real high-dimension problems.

Introduction to supply chain management

• Main aspects of the supply chain: Transport, Storage, Prediction, Production.
• Logistic role in history: Logistic, Integrated Logistic and Supply Chain Managements.

Optimization problem

• Unconstrain optimization: first order condition, second order condition and comparison criteria.
• Constrain optimization: comparison criteria, method of Lagrange multipliers, simplex, graphical method.
• Example: production problem.

Transport problem.

• Problem statement: examples and constrains.
• Linear models: one stage model, two stages model (transhipment).
• Practical Lecture: modeling and solving example using Lingo.

Storage problem

• Problem statement: example and main costs.
• Economic Order Quantity theory: out-of-stock model, unlimited storage model.
• Further variation: quantity discount, not constant demand.

Estimation problem.

• Introduction to correlation problem using proxy. Linear regression methods.
• Time series analysis. Autoregressive Model, Model Stability , Cross validation.
• Practical Lecture: Time series analysis using Matlab.

Practical lecture / Assignment

Students are divided in groups each of which proposes, models and solves a real case.

Course entry requirements

Math fundamental gained during the bachelor program: matrix algebra, integral, gradient and hessian definitions and properties.

Course structure and teaching

Lectures (hours/year in lecture theatre): 28
Practical class (hours/year in lecture theatre): 14
Practicals / Workshops (hours/year in lecture theatre): 15
Project work (hours/year in lecture theatre): 15

Suggested reading materials

F.S. Hillier, G.J Lieberman. Introduzione alla ricerca operativa. Franco Angeli Editore.

C. Ferrozzi, R. Shapiro. Dalla Logistica al Supply Chain Management. ISEDI.

A.Tiano. Dispense per il corso di Logistica.

Testing and exams

In the practical lectures and in the assignment, the students will face a real problem using the notion learned in the theoretical lesson. The candidate knowledge is tested by a written test and by an oral examination. The oral exam is focus on the discussion of the assignment.