Ing Ind - Inf (Mag.)(ord. 270) - BV (479) MANAGEMENT ENGINEERING - INGEGNERIA GESTIONALE
054952 - MANUFACTURING SYSTEMS ENGINEERING II
054201 - MANUFACTURING SYSTEMS ENGINEERING
Ing Ind - Inf (Mag.)(ord. 270) - BV (483) MECHANICAL ENGINEERING - INGEGNERIA MECCANICA
054201 - MANUFACTURING SYSTEMS ENGINEERING
Ing Ind - Inf (Mag.)(ord. 270) - MI (498) FOOD ENGINEERING
054202 - MANUFACTURING SYSTEMS ENGINEERING I
The design and management of production systems asks for methods devoted to the performance evaluation and optimization of the configuration and control. In the scope of the framework provided by Manufacturing Systems Engineering I, this course deals with mathematical models of manufacturing systems aimed at evaluating the performance and optimizing the configuration. Different mathematical models will be studied and applied based on the characteristics of manufacturing systems and the relevant assumptions.
In the scope of the Learning Goals of the Master of Science in Management Engineering, the goals of the course are:
Identify trends, technologies and key methodologies in a specific domain (specialization streams)
Design solutions applying a scientific and engineering approach (Analysis, Learning, Reasoning, and Modelling capability deriving from a solid and rigorous multidisciplinary background) to face problems and opportunities in a business and industrial environment
Risultati di apprendimento attesi
After passing the exam, the student will be able to:
Analyse production problems and formalize the requirements for manufacturing systems
Develop models of manufacturing systems based on a mathematical representation of their characteristics and behaviour and according to the required level of detail.
Identify, select, and implement mathematical methodologies to support the design, management and control of manufacturing systems
Optimize the configuration and control of manufacturing systems and estimate their performance
After completing the optional project work, the student will be able to:
Write a technical project report
Present the results achieved during the analysis, modelling and testing activities
The course is based on lectures and classworks, with the blended approach. Guest international speakers will be invited to give special lectures. In agreement with the blended approach, the students should attend normally one online class and maximum one in-presence class each week. The in-presence class may be repeated to ensure the possibility for the students to attend. The calendar is organized so that students can follow in parallel both courses (MSE I and MSE II).
Technical design of Manufacturing systems. Relations between technological specifications and production system types. State-based modelling of manufacturing systems. Continuous-time Markov chains to model simple manufacturing systems. Analytical methods (queueing networks) to model complex productions systems and estimate key performance indicators. Approximate analytical methods to model unreliable manufacturing systems and evaluate their performance. Decomposition techniques to evaluate the performance of long flowlines.
Design of Manufacturing Systems Control. Optimization of token based production policies. Hedging point policies.
Analysis of real production systems.
Modalità di valutazione
The assessment will be based on a final exam (written test) that consists of 2 practical and theoretical exercises. Practical exercises will assess the ability to understand and analyse realistic industrial problems and then develop models to apply methodologies aimed at designing manufacturing systems and evaluating the impact of possible reconfigurations. Theoretical exercises will ask to elaborate on concepts, models, techniques and methodologies presented during the course.
After passing the written test, students will be given the possibility to improve the final grade through:
optional oral exam on theoretical and practical questions related to the topics included in the course program (max 3 points).
optional project work (max 3 points). The work will focus either on the application of a methodology to a real industrial case or the further development of a methodology studied during the course.
optional homeworks that will be assigned and evaluated during the course (max 1 point). The assignments consist in the implementation in Matlab code of algorithms related to the program.
However, a maximum of 4 points can be added to the grade of the written test.