• Cotutela con mondo esterno

The aim of the course is to provide the students an opportunity to face real problems in real manufacturing environments through the application of smart manufacturing methods to support the engineering and management of high-value-added products, the continuous innovation of products and processes, the sustainability of products and production systems along their lifecycle.

The smart manufacturing approaches exploited in the course will focus on complex manufacturing challenges addressing products, production process, systems and their continuous evolution, entailing a wider engineering perspective.

The integrated Smart Manufacturing Lab (5+5 CFU) will pursue this perspective to tackle manufacturing problems like the design and reconfiguration of manufacturing systems, zero-waste and sustainable solutions for manufacturing, integrated product-process approaches for personalization, advanced planning and scheduling iun complex and uncertain environments, prognostics and health management of manufactured assets, reliability and availability improvement in manufacturing systems.

The students will have the opportunity to take advantage of smart manufacturing methods and tools and experimental experience to solve real industrial problems through the “action-based learning” approach used in the “learning factory”. Moreover, the students will enhance their capability to interact in a professional environment in a responsible and constructive way, working in a group, planning and coordinating roles and activities within the group, and interacting with a company providing the context where the real is set and solved.

The course fits into the overall program curriculum pursuing some of the defined general learning goals. In particular, the course contributes to the development of the following capabilities:

• Design solutions applying a scientific and engineering approach (Analysis, Learning, Reasoning, and Modeling capability deriving from a solid and rigorous multidisciplinary background) to face problems and opportunities in a business and industrial environment;
• Develop new ideas and solutions in business and industrial scenarios evolving over time;
• Interact in a professional, responsible, effective and constructive way in a working environment, also motivating group members.

The main expected learning outcomes of the course, achievable through a mix of activities aimed at implementing the “action-based learning” (Seminars/Lectures, Lab experience, Industrial Internship, Real data modeling and analysis), consist of knowledge and comprehension of the smart manufacturing methods and the practical abilities to use them in the context of real industrial environments. In particular, the course will allow students to achieve knowledge and comprehension in order to:

1. Analyze and model a real problem in a real manufacturing environment, understanding the relevant elements and influencing factors, defining proper modelling hypothesis, collecting information and data;

2. Select and apply smart manufacturing methods to real industrial cases, coping with incomplete and/or unreliable information and data;

3. Work and cooperate in a team and interact with a company;

4. Plan and manage their work grounding on the intermediate results and the evolution of the context;

5. Explain, communicate and motivate the work done;

Starting from a real industrial case, a set of engineering problems will be defined, addressing the range of typical problems a manufacturing company has to face in a multidisciplinary way by a group of students spending about 5 weeks in a company, with the aim at exploiting the tools and methods learned to analyze, formalize and provide a solution to it.

The following activities will be carried out:

Industrial Internship: all the students will be given the opportunity to spend a period of about 110 hours in the company proposing the manufacturing problem under study. The period will be organized as an internship through the Career Service.

Seminars/Lectures: seminars/lectures will be organized to deepen all the technological and management aspects connected to the problem under study.

Lab experience: specific problems will be addressed by the students by directly using labs and facilities at the Department of Mechanical Engineering, Department of Industrial Engineering as well as other facilities working in close relation with Politecnico di Milano.

Real data modelling and analysis: data collected in real industrial contexts will be provided and used to design and/or validate the solutions provided.

Industrial engineering methods and tools addressed in the previous courses.

An assessment exercise for soft-skills and group-work attitudes is suggested (check the offer provided by the Career Service).

The assessment for the course is operated by means of:

• A report related to the project work. (group, learning outcome 1-2-4-5)
• An intermediate and final presentation of the work done. (individual,learning outcome 5)
• A report provided by the company hosting the internship. (individual, learning outcome 3-4)