Portale di Ateneo - En.Unibs.it

Borrowed courses

OPTIMIZATION AND MANAGEMENT OF INDUSTRIAL PROCESSES

INGEGNERIA GESTIONALE

ECONOMICO E ORGANIZZATIVO

Other Courses in the Curriculum

MODELLISTICA ED OTTIMIZZAZIONE

Course year: 1

PROCESS OPTIMIZATION
Attendance grouping
12 credits - Raggruppamento di frequenza
INFORMATION SYSTEMS

6 credits - Related/Supplementary
ORGANIZATION AND MANAGEMENT OF INNOVATION

9 credits - Characterising
INDUSTRIAL ORGANIZATION AND ECONOMICS OF INNOVATION
Attendance grouping
9 credits - Raggruppamento di frequenza
INDUSTRIAL PRODUCTION MANAGEMENT
Attendance grouping
12 credits - Raggruppamento di frequenza
MANAGEMENT OF THE INTEGRATED LOGISTICS SYSTEMS

6 credits - Characterising
ASSISTED DESIGN OF MECHANICAL STRUCTURES

6 credits - Student's own choice
STRUCTURAL BIOMECHANICS

3 credits - Student's own choice
TECHNOLOGIES OF THE RENEWABLE ENERGIES

6 credits - Student's own choice
INDUSTRIAL LOGISTICS

6 credits - Student's own choice
LABORATORY PRODUCTION AND PROTOTYPE

6 credits - Student's own choice
OPTIMIZATION ALGORITHMS

6 credits - Student's own choice

Course year: 2

FINAL THESIS

12 credits - Language/Final Examination
ANALYSIS AND DECISIONS IN COMPLEX SYSTEMS
Attendance grouping
12 credits - Raggruppamento di frequenza
BUSINESS MANAGEMENT (STRATEGY AND MARKETING)

9 credits - Characterising
DESIGN AND MANUFACTURING DOCUMENTATION LABORATORY

6 credits - Related/Supplementary
MODELING OF BULK FORMING

6 credits - Characterising
SOCIOLOGY OF ORGANIZATION

6 credits - Related/Supplementary
OPTIMIZATION ALGORITHMS

6 credits - Student's own choice
SCIENTIFIC COMPUTING AND LABORATORY

6 credits - Student's own choice
TRAINING ACTIVITY/INTERNSHIP 3 CREDITS - MASTER LEVEL

3 credits - Student's own choice
TRAINING ACTIVITY/INTERNSHIP 6 CREDITS - MASTER LEVEL

6 credits - Student's own choice
TRAINING ACTIVITY/INTERNSHIP 9 CREDITS - MASTER LEVEL

9 credits - Student's own choice
BUSINESS ENGLISH

6 credits - Student's own choice
APPLIED ACOUSTICS

6 credits - Student's own choice
FIRE RISK: EVALUATION, PROTECTION AND PREVENTION

3 credits - Student's own choice
INDUSTRIAL PLANTS MANAGEMENT LABORATORY

3 credits - Student's own choice
LABORATORY OF BUSINESS ORGANIZATION AND STRATEGY

6 credits
LABORATORY OF COMPUTATIONAL TECHNIQUES

3 credits - Student's own choice
PRODUCTION SYSTEMS MANAGEMENT LABORATORY

6 credits
QUALITY INDUSTRIAL MANAGEMENT LABORATORY

3 credits - Student's own choice

OPTIMIZATION AND MANAGEMENT OF INDUSTRIAL PROCESSES

Single discipline educational activity

Course Sheet

Academic Year of enrolment:

2018/2019

Academic Year of provision:

2018/2019

Type of Course:

Characterising

Degree:

Master's Degree Programme in MANAGEMENT ENGINEERING

Disciplinary Sector:

Industrial and Mechanical Plant

Language:

Italian

Grouping head:

PROCESS OPTIMIZATION

Grouping type:

Credits:

Programme Year:

Professor and Collaborators:

ZAVANELLA Lucio Enrico Professor

Cycle:

First semester

Hours of classroom activity:

Hours of individual study:

Probability and Statistics
Methods and models for the management of services and production

Educational Goals

So as to achieve a rational and conscious utilization of the resources of productive/service systems, the essential premise is the identification and the knowledge of those methodologies and techniques enabling the best management and design of the productive/service systems themselves. Such a premise is mandatory so as to achieve the appropriate level of competitiveness and sustainability.
The module aims at providing the elements and the knowledge concerning the main techniques and methodologies useful in system modelling, paying attention to the productive and service environments, as well as highlighting the relevant differences, advantages and limitations of the different approaches. In particular, the analytical and the computer-based (e.g., simulation modelling) approaches will described and compared, also in their hybrid version. By means of cases and numerical examples, modelling techniques are also presented as the appropriate tools enabling the description of systems finalized to their description and optimization.
The final objective is to allow the students learn and apply the techniques for systems analysis, being conscious of their limitations and peculiarities, so as to responsibly apply them in environments such as design and decision making.

Content

Queuing Theory and resources in networks (Queuing Networks, Petri nets). Performance indices.
Markov Chains.
Multicriteria decision techniques.
Simulation and hybrid models.
Advanced optimisation techniques

Extended Syllabus

Queueing theory and production processes: general characteristics of queuing systems. Notation and examples. Probability density functions: random variables, memoryless and stochastic processes. Basic queuing models (e.g. M/M/1, M/M/c, models with limited capacity) and application to real cases. Little's law. Queuing models with general distributions (M/G/1, GI/M/1, GI/G/1).
Resources in networks: open queuing networks (tandem queues, Jackson’s networks). Closed queuing networks (Solberg model). Petri Nets: notation, general properties of Petri Nets, applications and examples in productive and service systems.
Markov Chains: discrete and continuous time. Birth and death processes (BD); ergodic and absorbing states. Classification of Markov chins and relevant properties. Examples of applications in production contexts and services.
Decision making in multicriteria environments: the Analytic Hierarchic Process (AHP).
Discrete-event simulation of productive systems: model assessment, random number generation, performance indices. Model validation. Simulation runs and truncation. Program coding and reporting assessment. Continuous simulation. Hybrid simulation. Applicative cases. Simulation and optimization problems: formulating the optimization problem (local optimum, discrete local optimum, global optimum, problem instances). Hints on computational complexity and the performance measurement of algorithms.
Applications in productive-service environments.

Recommended Bibliography

"Fundamentals of queueing theory" – Gross et al. – Wiley
"Stochastic Petri Nets: Modelling, Stability and Simulation" – Haas – Springer
"Tecniche di ottimizzazione dei sistemi produttivi" – Zavanella and Ferretti – Ed. Snoopy
Backup material to the lectures (e.g., slides, papers)

Methods of Provision

Conventional

Teaching Methods

The course is based on two types of lectures/activities:
• Theoretical lectures, designed to illustrate the basic theory of the different
contents
• Numerical exercises and applicative cases, necessary to understand the contents learned in class during the theoretical lectures.
It is also likely the utilisation of IT tools during the leraning of computer-based techniques, including eventual individual case solving.

Assessment Methods

Two written examinations are planned, respectively based on numerical exercises and the testing of the knowledge of theoretical basis. Oral examination may be required,
according to the results of the two written exams above. The solution of individual cases by computer-based tools may also be introduced (e.g.., simulation tools).

Assessment:

Final Mark

Programme of Educational Activities

Start date of teaching period:

Monday, September 17, 2018

End date of teaching period:

Friday, December 21, 2018

Other Information

No additional information