Innovazione manifatturiera tra sfide e opportunita : le Key Recommendations dal World Manufacturing Forum Prof. Marco Taisch - Advanced Cosmetic ...
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Innovazione manifatturiera tra sfide e opportunità: le Key Recommendations dal World Manufacturing Forum Prof. Marco Taisch
Le tecnologie su cui puntare BIG DATA CLOUD COMPUTING & CYBER SECURITY INTERNET OF INTELLIGENZA THINGS ARTIFICIALE AUTOMAZIONE ADDITIVE ROBOTICA MANUFACTURING Marco Taisch – School of Management Manufacturing Group
Industria 4.0: la Rivoluzione delle Rivoluzioni INSTANT CULTURAL REVOLUTION REVOLUTION PERMEATING ACCELERATING REVOLUTION REVOLUTION Marco Taisch – School of Management Manufacturing Group
Dall’Industria 4.0 alla Value Chain 4.0 Industry 4.0 Value Chain 4.0 Smart Product Product Service System New Business Model Fraunhofer-Industrie 4.0 –final_report Marco Taisch – School of Management Manufacturing Group
Internet of X Internet of Things Internet of Brains Internet of Businees processes / Services Marco Taisch – School of Management Manufacturing Group
BIG DATA: la materia prima del domani BIG DATA + MATERIA PRIMA • Data as “raw material” • Why don’t include data within balance sheet? • 3 D’s: Data Driven Decisions PRODOTTO = Marco Taisch – School of Management Manufacturing Group
Automazione 4.0 ovvero cognitiva Dall’automazione …all’automazione …all’automazione INDUSTRIALE… COLLABORATIVA… COGNITIVA Marco Taisch – School of Management Manufacturing Group
Lo scenario applicativo - Survey Italia 2017 Industria 4.0 è un differenziale di crescita FATTURATO (base 100 anno 2010) 118 Attive 4.0 116 116 116 114 +8% 112 112 112 110 108 109 108 108 108 Campione di 106 riferimento 104 104 105 102 100 100 100 2010 2011 2012 2013 2014 2015 Attive 4.0 72 imprese Campione di riferimento 4.673 imprese Campione di imprese che nella Survey Industria 4.0 del Politecnico di Campione di riferimento con profilo ATECO omogeneo a quello Milano sono risultate particolarmente attive sul tema delle imprese Attive 4.0 ponderate per numerosità di classe dimensionale (70% Grandi Imprese + 30% Medie Imprese) Si ringrazia per l'elaborazione UniCredit, su dati Centrale bilanci Marco Taisch – School of Management Manufacturing Group
Lo scenario applicativo - Survey Italia 2017 Industria 4.0 è un differenziale di redditività EBITDA mgn% ROI% 9,9% 10% 7% Attive 4.0 6,1% 9% 6% Attive 4.0 8,4% +37% +47% 5% 4,5% 8% 7,2% 3,8% 7,1% 4% 3,3% 7% 6,0% Campione di 3% 2,3% 6% riferimento 2,0% Campione di 2% riferimento 5,8% 5,6% 5,8% 5% 1,7% 1% 1,5% 5,0% 4,9% 1,2% 1,1% 4,5% 0,9% 4,4% 0,7% 4% 0% 2010 2011 2012 2013 2014 2015 2010 2011 2012 2013 2014 2015 Si ringrazia per l'elaborazione UniCredit, su dati Centrale bilanci Marco Taisch – School of Management Manufacturing Group
Lo scenario applicativo - Survey Italia 2017 Industria 4.0 è un differenziale di produttività del lavoro Costo del lavoro per dipendente (.000€) Valore Aggiunto per dipendente (.000€) 60 k€ 100 k€ 55,2 92,2 Attive 4.0 55 k€ 53,5 Attive 4.0 90 k€ 51,6 51,3 51,6 84,0 50,3 50 k€ 80 k€ 75,3 73,6 72,0 69,4 45 k€ 70 k€ Campione di 42,0 riferimento 57,8 57,8 40 k€ 42,0 60 k€ Campione di 36,6 52,0 riferimento 39,1 49,8 35 k€ 50 k€ 47,1 35,6 44,2 +142 34,0 % 30 k€ 40 k€ 2010 2011 2012 2013 2014 2015 2010 2011 2012 2013 2014 2015 Produttività Campione di riferimento Costo del lavoro Variazione 2010-2015 +25 +10 % 0% = 0% % Variazione 2010-2015 Costo del lavoro Produttività Attive 4.0 Si ringrazia per l'elaborazione UniCredit, su dati Centrale bilanci Marco Taisch – School of Management Manufacturing Group
WORLD MANUFACTURING FORUM Key Recommendations
WMF Annual Meeting The Leading Event on Manufacturing – Past Editions WMF 2011 WMF2012 Villa Erba, Cernobbio - Italy Liederhalle, Stuttgart - Germany 350 participants 380 participants WMF2014 WMF2016 Palazzo Mezzanotte, Milano - Italy Llotja de Mar, Barcelona - Spain 440 participants 480 participants MANUFACTURING SUMMIT 2017 WMF2017 Villa Erba, Cernobbio - Italy Parque Fundidora, Monterrey - Mexico 500 participants 450 participants
Cultivate a Positive Perception of Manufacturing 1 • Create awareness in the Society • Explain the role of Manufacturing to citizens • Explain the careers opportunities • Attract talents • Cover the skills gap
Promote Education and Skills Development for Societal Well-Being 2 • Retrain and up-skills workers • Cognitive-based skills • Educate the whole society to help to deal with the pervasiveness of the technology • New training approaches for multidisciplinary
Develop Effective Policies to Support Global Business Initiatives 3 • Clear regulations and policies • New funding schemes • Global standards and regulations • Responsible trading policies • Do not stop innovation: AI, Data Privacy and Security
Strenghten and Expand Infrastructures to Enable Future-Oriented Manufacturing 4 • Digital infrastructures are the backbone of the 4th Industrial Revolution • Digitalisation enables the sharing and the circular economies • Prevent the national, regional and cultural digital divide • CyberSecurity is a Must
Encourage Eco-System for Manufacturing Innovation World Wide 5 • Disruptive and paradigm-changing innovation is needed • New socially-oriented and cultural-divide aware products • New forms of collaboration, partnership, knowledge-sharing and co-innovation among a vast network of trusted actors • Foster start-up oriented eco-systems led by large companies
Create Attractive Workplaces for All 6 • Be appealing to talent and workers • Virtuous circle on Manufacturing attractiveness • Health, safety, comfort, positive socialisation, diversity and fair compensation are the key drivers • Inclusion regardless race, colour, religion, gender, age, disability, sexual identity and national origin • Human centric Manufacturing paradigm jointly with a Urban Manufacturing
Design and Produce Socially-Oriented Products 7 • Address specific segments of the society • Public authorities are encouraged to create ad-hoc innovation policies • Academia is encouraged to educate people regarding the importance of socially-oriented products
Assist SMEs with Digital Transformation 8 • SMEs are a vital part of the manufacturing business globally • Assisting SMEs with digital transformation is key promoting a robust global manufacturing sector • Digital transformation is an opportunity but can easily become a threath for SMEs • Global knowledge-sharing Labs, Competence and Technology transfer Centers and Hubs are envisaged to spread locally
Explore the Real Value of Data-Driven Cognitive Manufacturing 9 • Understand the value of data • Data as factor of production such as raw material, capital, labour and energy
Promote Resource Efficiency and Country Specific Environmental Policies 10 • Environmental health and sustainability is still a major issue • Country specific policies are needed • Education and awareness on environmental and sustainability initiatives • Companies remain financially healthy while they adhere to environmental policies • Academic communities are encouraged to keep working on performance indicators for sustainability
The WMF Report is available for download at the following link: https://www.worldmanufacturingforum.org/report
WMF ANNUAL MEETING 2019 26-27 September 2019 Cernobbio, Lake Como, Italy New Skills for the Future Manufacturing SAVE THE DATE!
Red Pill, Keep Calm and Think 4.0
Who am I • Professor of Advanced and Sustainable Manufacturing @ Politecnico di Milano • 40-people group on Manufacturing Engineering and Management • Member of the Board of the European Factory of the Future Research Association (EFFRA) • Technology Foresight expert • Coordination of 4 Technological Foresight Roadmaps on Manufacturing over the last 10 years • 25 EU Funded projects for a total amount of 12,9 M€ funding since Jan 2009 • Scientific Chairman of the World Manufacturing Forum • Member of the Steeering Committee of the National Plan on Industry 4.0 • Consultant and advisor to large Italian Enterprises • To contact me: • marco.taisch@polimi.it • +39 320 8393662 • http://www.linkedin.com/in/marcotaisch
© 2017 Politecnico di MILANO - ALL RIGHTS RESERVED Unauthorized use and/or duplication of this material without express and written permission from this author and/or owner is strictly prohibited. Excerpts and links may be used, provided that full and clear credit is given to Politecnico di Milano, School of Management Manufacturing Group with appropriate and specific direction to the original content.
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