Service systems and simulations
Course objectives
To describe the main elements of the queueing systems, i.e. particular systems where clientsarrive according to a distribution probability requiring a service to be performed by the servers.The aim is to provide the main elements in order to efficiently design a queueing system.Moreover, techniques for building and using simulation models are also provided. Such techniquesare introduced as a tool for reproducing real situations or for designing new ones.Risultati di apprendimento attesi (Inglese): To be able to use the fundamentals results of queueing theory for designing a queueing system. To be ableto build a simulation model, to perform input and output analysis, to design and run a simulation.
Channel 1
MASSIMO ROMA
Lecturers' profile
Program - Frequency - Exams
Course program
Introduction to Queueing Theory. Fundamental definitions and relationships in queueing theory. Birth and death processes. Specification of queueing models. Stochastic models for arrival and service processes. Markovian queueing systems. Non-Markovian queueing systems. Queueing networks. Introduction to simulation models. Basic methodologies of discrete event simulation. Components of a discrete event simulation model. Input analysis. Random variate generation. Design of experiments. Output analysis. Variance reduction techniques. Use of discrete event simulation software packages.
Prerequisites
The basic notions of Calculus, Probability Theory and Statistics are to be considered indispensable prerequisites. Knowledge of the basic modelling aspects of Operations Research is also important.
Books
All the material is made available on the course Google Classroom by the teacher. This material consists of handouts suitably prepared by the teacher, which report all the topics covered in the lessons also including proposed and solved exercises. In addition, many exam exercises are available.
Teaching mode
The didactic model adopted mainly refers to (in-preson) lectures. Collective exercises are also carried out.
Frequency
To attend the lectures is not mandatory
Exam mode
The exam consists of a written assignment in which both the student's preparation on the theoretical topics and the skill in carrying out practical exercises are ascertained. Finally, students must take a short oral interview in which they will be awarded the final evaluation.
Lesson mode
The didactic model adopted mainly refers to lectures. Collective exercises are also carried out.
MASSIMO ROMA
Lecturers' profile
Program - Frequency - Exams
Course program
Introduction to Queueing Theory. Fundamental definitions and relationships in queueing theory. Birth and death processes. Specification of queueing models. Stochastic models for arrival and service processes. Markovian queueing systems. Non-Markovian queueing systems. Queueing networks. Introduction to simulation models. Basic methodologies of discrete event simulation. Components of a discrete event simulation model. Input analysis. Random variate generation. Design of experiments. Output analysis. Variance reduction techniques. Use of discrete event simulation software packages.
Prerequisites
The basic notions of Calculus, Probability Theory and Statistics are to be considered indispensable prerequisites. Knowledge of the basic modelling aspects of Operations Research is also important.
Books
All the material is made available on the course Google Classroom by the teacher. This material consists of handouts suitably prepared by the teacher, which report all the topics covered in the lessons also including proposed and solved exercises. In addition, many exam exercises are available.
Teaching mode
The didactic model adopted mainly refers to (in-preson) lectures. Collective exercises are also carried out.
Frequency
To attend the lectures is not mandatory
Exam mode
The exam consists of a written assignment in which both the student's preparation on the theoretical topics and the skill in carrying out practical exercises are ascertained. Finally, students must take a short oral interview in which they will be awarded the final evaluation.
Lesson mode
The didactic model adopted mainly refers to lectures. Collective exercises are also carried out.
- Lesson code1017412
- Academic year2024/2025
- CourseManagement Engineering
- CurriculumGestione dei sistemi produttivi e logistici (percorso formativo valido anche ai fini del conseguimento del doppio titolo italo-francese)
- Year1st year
- Semester1st semester
- SSDMAT/09
- CFU6
- Subject areaAttività formative affini o integrative