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Scheda Riassuntiva
Anno Accademico 2019/2020
Scuola Scuola di Ingegneria Industriale e dell'Informazione
Insegnamento 054833 - METHODS AND TOOLS FOR SYSTEMATIC INNOVATION I.C.
Docente Cascini Gaetano
Cfu 10.00 Tipo insegnamento Corso Integrato
Didattica innovativa L'insegnamento prevede  2.0  CFU erogati con Didattica Innovativa come segue:
  • Cotutela con mondo esterno

Corso di Studi Codice Piano di Studio preventivamente approvato Da (compreso) A (escluso) Insegnamento
Ing Ind - Inf (Mag.)(ord. 270) - BV (483) MECHANICAL ENGINEERING - INGEGNERIA MECCANICA*AZZZZ054833 - METHODS AND TOOLS FOR SYSTEMATIC INNOVATION I.C.
054829 - METHODS AND TOOLS FOR SYSTEMATIC INNOVATION B - PROBLEM SOLVING AND INVENTIVE DESIGN
054831 - METHODS AND TOOLS FOR SYSTEMATIC INNOVATION C - INNOVATION AND INTELLECTUAL PROPERTY MANAGEMENT

Obiettivi dell'insegnamento

The course is a combination of 2 modules: "inventive design and problem solving" and "innovation and intellectual property management". Overall it aims at providing theoretical competences and practical skills about the most recent methodologies for systematic innovation of products and processes with a focus on both strategical and operational aspects.

More in details, the module "inventive design and problem solving" covers a range of techniques and tools supporting technical creativity such as Brainstorming, TRIZ (Theory of Inventive Problem Solving), Biologically-Inspired Design, Value Analysis, etc. Attendees will be involved in individual and collaborative creative sessions, and will experience the support provided by Computer-Aided Innovation (CAI) tools and ICT technologies enhancing creativity. The module "innovation and intellectual property management" consists of two complementary parts: the first concerns the exploitation of patents as a source of technical information for competitive intelligence and information extraction supporting innovation activities. This part of the program covers Intellectual Property fundamentals and patentability criteria; it provides theoretical and practical skills for patent search and patent analysis, both through manual and computer-based tools. The second part of the module is dedicated to a survey of the main mechanisms characterizing the competition between alternative technologies, the main models describing the dynamics of innovation and to a detailed description of the most recent technology forecasting methodologies.


Risultati di apprendimento attesi

Through the acquisition of the knowledge and skills delivered by this course, students will:

- know and understand characteristic features of inventions, innovation, design creativity (module B and C);

- know potential and industrial applications of systematic methods and tools supporting idea generation (module B) and innovation development (module C) in industry;

- know fundamentals of Intellectual Property protection, patentability criteria and patent application process (module C).

 

Furthermore, students will be able to apply their knowledge and understanding to:

- build a conceptual model (e.g. mind map, functional model, contradiction model, event diagram, cause-effect diagram) of a product or a process (module B);

- exploit available knowledge to identify root causes of problems in products and processes (module B);

- apply heuristics (e.g. derived from TRIZ, Bio-mimetics, Value Analysis) for triggering idea generation for conceptual design and problem solving (module B);

- perform a patent search for priority searches and for identifying opportunities to transfer solutions between dofferent technological domains (module C);

- check whether a technical solution infringes an existing patent and propose alternatives for patent circumvention (module C);

- analyse a technical system in terms of evolutionary potentialand identify possible technological developments (module C).

 

Eventually, project work activities will allow students to

- develop collaboration abilities through the interaction with the team mates;

- develop communication skills through the interaction with the industrial tutors;

- develop learning abilities by autonomously acquiring information and data needed for the development of the project activities.


Argomenti trattati

Inventive design and problem solving part:

Product development cycle and innovation. Technical creativity, dimensions, features and assessment criteria.

Psychological methods supporting technical creativity: brainstorming, synectics, six thinking hats.

Elements of Systematic Design: Function-Behaviour-Structure, EMS function modelling, Conceptual Design phases.

Cognitive aspects of designing.

Introduction and fundamentals of TRIZ, Theory of Inventive Problem Solving. Reference models of TRIZ: problem solving process (Hill model, Tongs model, Funnel model); representation of technical systems, problems and solutions (ENV model, Function model, Su-Field model, Contradiction model); reference models for robust thinking (System Operator). Instruments for developing conceptual solutions: System of Inventive Standards; pointers to physical, chemical and geometrical effects. Instruments for overcoming contradictions: Analysis of Contradictions, 40 Inventive Principles, Separation principles, ARIZ.

Bio-Inspired Design: aims and scopes, methods to search for bio-inspired solutions and their transfer into technical implementations. Reference models: SAPPhIRE, DANE, Biomimicry thinking, UNO-BID.

Value Analysis: Value Engineering techniques for product analysis. Process Value Analysis (PVA).

Innovation and intellectual property management part:

Intellectual Property: fundamentals, patentability criteria, patent application process (IT, EP, PCT). Structure and features of a patent document. Patent search: patent databases, functionalities and limitations. Patent classifications: IPC, ECLA, FI, CPC. Patent analysis: statistical analysis and bibliometrics. Patent strategies and techniques for patent breaking.

Text-mining fundamentals. Compute-based applications for patent mining.  

Technological diffusion: from invention to innovation. Competitive product development and Knowledge needs. Competition models: pure competition, pray/predator, symbiotic, parasitic. Types and Patterns of Innovation: product/process, breakthrough/incremental, competence enhancing/competence destroying.

Innovation from the user’s perspective: customer requirements classification models, value innovation.

Methods and tools for Technology Forecasting: classification, potentialities and limitations. Exemplary techniques for Technology Forecasting: Delphi Method; Logistic growth model, Logistic Substitution model; Innovation diffusion models; TRIZ-based forecasting. FORMAT Methodology: phases and tasks of a technology forecasting activity.


Prerequisiti

Students are suggested to follow this course having already assimilated the knowledge and competencies of the courses of the 1st yet of the mechanical engineerinsg study programme.


Modalità di valutazione

The course consists of lectures and practice sessions, including a collaborative project driven by an industrial case study proposed by partner companies.

The evaluation is based on an individual written test based on the practical sessions proposed in the semester and on a project work developed in team  evaluated also by industry executives.

 

More specifically, the assessment consists of two parts:
- (50%) a written open-book individual test (for each module) with exercises similar to those proposed within the practice sessions, aimed at checking the acquisition of the knowledge and related application abilities; some exercises require the application of the software tools presented within the semester;

-(50%) a project work developed in team (3-4 members each): evaluation is based on the review sessions along the semester and on the final presentation embedding a short video to communicate the project. The project work allows to check thr achievement of expected results in terms of application abilities, learning and communication skills.


Bibliografia
Risorsa bibliografica facoltativaSemyon D. Savransky, Engineering of Creativity: Int roduction to TRIZ Methodology of Inventive Problem Solving. , Editore: CRC, Anno edizione: 2000
Risorsa bibliografica obbligatoriaTRIZ: Theory of Inventive Problem So lving - Improve your problem solving skills www.tetris-project.org
Note:

Handbook of the training materials produced within the Project "TETRIS - Teaching TRIZ at School" funded by the European Commission-Leonardo da Vinci Programme, 2009.

Risorsa bibliografica facoltativaGenrich S. Altshuller, Creativity as an Exact Science, Editore: Gordon & Breach Science Publisher, New-York, London, Paris, Anno edizione: 1984
Risorsa bibliografica facoltativaTRIZ Repository at RMIT https://edisons21.com/content/tools-triz
Risorsa bibliografica facoltativaBenyus J., Biomimicry:Innovation Inspired by Nature, Editore: Perennial, Anno edizione: 1998
Risorsa bibliografica facoltativaBar-Cohen Y., Biomimetics, Biologically Inspired Technologies, Editore: CRC/Taylor & Francis, Anno edizione: 2006
Risorsa bibliografica facoltativaAlan L. Porter, Scott W. Cunningham, Tech Mining: Exploiting New Technologies for Competitive Advantage, Anno edizione: 2004, ISBN: 0-471-47567-X
Risorsa bibliografica facoltativaMelissa A. Schilling, Strategic Management of Technological Innovation, Editore: McGraw-Hill Education, Anno edizione: 2012, ISBN: 978-0078029233
Risorsa bibliografica facoltativaCantamessa, Marco, Montagna, Francesca, Management of Innovation and Product Development - Integrating Business and Technological Perspectives, Editore: Springer, Anno edizione: 2015, ISBN: 978-1-4471-6722-8 http://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=1056506&site=ehost-live
Risorsa bibliografica facoltativaAdriano Vanzetti, Vincenzo Di Cataldo, Manuale di Diritto Industriale, Editore: Giuffre' Editore
Note:

In Italian

Risorsa bibliografica facoltativaDavid Pressman, Patent It Yourself, Editore: Nolo Press Berkeley

Software utilizzato
Nessun software richiesto

Forme didattiche
Tipo Forma Didattica Ore di attività svolte in aula
(hh:mm)
Ore di studio autonome
(hh:mm)
Lezione
50:00
75:00
Esercitazione
25:00
37:30
Laboratorio Informatico
0:00
0:00
Laboratorio Sperimentale
0:00
0:00
Laboratorio Di Progetto
25:00
37:30
Totale 100:00 150:00

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Disponibilità di libri di testo/bibliografia in lingua inglese
Possibilità di sostenere l'esame in lingua inglese
Disponibilità di supporto didattico in lingua inglese
schedaincarico v. 1.7.0 / 1.7.0
Area Servizi ICT
26/05/2022