A.Y. 2020/2021
Overall hours
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.
Course syllabus and organization

Single session

Lesson period
Second semester
Live lectures will be recorded and made available on-line. Some lectures could be pre-recorded; in this case the lectures scheduled according to the timetable will be used for revising and possibly clarifying the content of the video-lectures.
Course syllabus
The supply chain
· Terminology and definitions. Description of the supply chain and its main components.
· The problem of demand forecasting. Models and algorithms for demand forecasting. Least squares and simple linear regression.
Inventory management
· Models of inventory systems. Inventory systems with continuous and discrete replenishment. Single-product and multi-product systems. Single-depot and multi-depot systems. Economic order quantity. Scale economies and discount policies.
Production logistics
· Lot sizing problems. Mathematical models and algorithms.
· Scheduling problems. Mathematical models and algorithms.
Distribution logistics
· Packing problems. Mathematical models and approximation algorithms: first-fit and best-fit. Exact solution with spreadsheets.
· Routing problems. Vehicle routing with additional constraints and heuristic algorithms.
Queuing theory
· Definitions and properties of queuing systems. Modelling, analysis and synthesis of queuing systems. Use of software for queuing theory.
Prerequisites for admission
Operations research.
Teaching methods
Lectures and lab sessions.
Teaching Resources
Ghiani, Laporte, Musmanno, Introduction to Logistics Systems Planning and Control
John Wiley and Sons, New York, 2004.
Assessment methods and Criteria
Written exercises at the PC.
MAT/09 - OPERATIONS RESEARCH - University credits: 6
Lessons: 48 hours
Professor: Righini Giovanni