• 054204 - SUSTAINABLE MANUFACTURING

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:

• Understand context, functions, processes in a business and industrial environment and the impact of those factors on business performance
• Identify trends, technologies and key methodologies in a specific domain (specialization streams)
• 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

The main expected learning outcomes for each of the following capabilities are:

1. Understand: the students will learn how the automation and digital technolgoies (i.e. Industry 4.0) are effecting the future manufacturing systems, both in the process industry as well as in the discrete manufacturing systems;

2. Identify: the students will learn how to select (i.e. identify) the best technology and the best application scenario;

3. Design: designing a manufacturing systems is a complex process which requires to deal with the hard, soft and organisational dimensions of the design of the system. Quantitative and qualitative techniques will be explained. The impact evaluation will also be assessed in order to give students the know-how on how to understand the impact of their decisions.

Parte I – Introduction

1. Advanced and Sustainable Manufacturing Strategies

1.1.       Sustainable Development (social, environamental and economic megatrends

1.2.       The importance of Manufacturing in the regional, national and global economy

1.3.       Manufacturing as key enabler of the Europe’s societal challenges

Parte II – Competitive Advanced Manufacturing 

2. Advanced Manufacturing: Automation in the Process industry

2.1.       Control

2.2.       Typologies of control architecture (monitoring, direct digital control, supervisory control)

3. Advanced Manufacturing: Automation in the Discrete Manufacturing industry

3.1.       Design and management of Advanced Manufacturing Systems (AMS)

3.2.       Real time control systems. Loading and dispatching

3.3.       Soft computing techniques for the design and management of manufacturing systems

3.4.       Industrial robots

Parte III – Sustainable Manufacturing

4. BOL-Energy- and Resource-efficient Manufacturing

4.1.       Green and Customer-focused Manufacturing

4.1.1.     Green Product Development

4.1.2.     Sustainable Mass customisation, Highly personalised production, Servitization in Manufacturing

4.2.       Factory life-cycle concepts. Integrated design, modeling and multi-level simulation of a Energy Efficient Factory (i.e. machine energy states, energy value-stream mapping, Technical Building Services and building facilities)

4.3.       Energy assessment: tools, audits, certification, KPIs,

4.4.       Best available technologies (BATs)

4.5.       Strategies for Energy optimisation along the whole value chain (i.e. factories clustering, Industrial symbiosis, new business models, etc.)

4.6.       Smart Manufacturing for Sustainability. ICT for Manufacturing 

5. BOL-Human-Centric and social sustainable manufacturing

5.1.       Factory context and workers for human-centric workplaces. Skill and competence knowledge workers. Worker-centered and skill-oriented production planning and operation. Cognitive and symbiotic automation.

5.2.       Design and co-evolution of the factory in relationships with social context (stakeholders such as local communities, other factories, policy makers, and training centers)

5.3.       Assessment and practices of Social Sustainability

6. End-of-Life Cycle Product Management

6.1.       Strategies and Technolgies for EOL in the different sector: Prevent, Re-use (re-manufucturing, dis-assembly, etc.), re-cycling, energy recovery, disposal

6.2.       Tools and assessment methodologies (regulatory, social, environmental and economic dimensions) for the identification of the best strategy/technology. Qualitative and quantitative Decision Support Systems for Design and Planning. Performance measurments

6.3.       Case studies in the automotive, aerospace, machine tools and electronics (including white goods) sectors

6.4.       European and Italian Regulations

6.5.       Product Life cycle knowledge for remanufacturing

6.6.       Rare and critical material management (i.e. Urban mining)

The prerequisites know-how deals with the following topics:

-design of manufacturing systems;

-information systems;

-operations management 

Oral final exam