2021

Řešení od

CZ.01.1.02/0.0/0.0/20_321/0024627Parametrizace nových produktů a automatizace procesu vývoje, konstrukce a zavedení do výroby

Poskytovatel : Ministerstvo průmyslu a obchodu
Manažer : Stach Eduard
Řešitel : Smolík Jan
Výzva : OP PIK Aplikace
Příjemce : HESTEGO
Anotace : Cílem projektu je získávání nových znalostí potřebných pro vývoj nových funkčních vzorků, ověřených technologií a užitných vzorů prostřednictvím realizace PV a EV k vytvoření do určité míry automatizovaného procesu, který nabídne zákazníkovi realizovat své konkrétní a individuální požadavky bez zvýšených nákladů na zakázkovou výrobu. Toho bude docíleno parametrizovaným a modulárním řešením produktů. Zákazník může přímo ovlivnit parametry poptávaného zboží, v případě plotru například zdvihy v jednotlivých osách.
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00044Cognitive production based on Intelligent Quality, Energy and Maintenance Management

Poskytovatel : Evropská unie
Manažer : Kolář Petr
Řešitel : Kolář Petr
Výzva : Horizon 2020
Příjemce : The Czech Institute of Informatics Robotics and Cybernetic (CIIRC CTU)
Anotace : European industry has recognized the importance of Artificial Intelligence (AI) tools within the context of CPES (Cyber Physical embedded Systems) since they are the keys to provide excellent services, enriched customer knowledge and also exploit new business opportunities. Cognitive production aids to achieve objectives associated with these issues concurrently providing high quality, high energy efficiency, high system availability, performance and cost effectiveness. Cognitive production is enabled by AI techniques that extract value from information related to the on-line status of assets and deploy a decision-based self-learning platform able to react dynamically. COGNINTEL application experiment aims to deploy AI-based decision making and control platform tailored to the machine tools industry to optimize their operations by enabling an holistic and intelligent Quality, Energy and Maintenance Management (QEM) approach. It provides users and plant managers with the right tools to implement cognitive production by ensuring high production efficiency, high quality, minimising the use of resources while optimising maintenance strategies, avoiding safety related failures and minimizing process downtime. This application experiment relies on strong commitment of partners to provide innovative solutions and services to recover COVID-19 crisis within manufacturing sector. The two industrial partners are complementary to each other: SCORTA, through COGNINTEL tool, expects to deliver better products (thread cutting tools and specialised taps) and also better after-sale services, while ERREDUE (the engineering services provider) will deliver AI models for advanced diagnostics and prognostics for machine tool industry. Finally, an effective connection with relevant stakeholders as well as with DIH4CPS members is ensured by the DIH CIIRC CTU through proper communication and networking activities aimed at facilitating access to new technologies and services. CIIRC CTU will also support partners in demonstration trials to prove replicability of results towards other field of applications.
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21215Network for Empowering People in Added-Value Manufacturing Systems and Technologies

Poskytovatel : Evropská unie
Manažer : Vavruška Petr
Řešitel : Kolář Petr
Výzva : Horizon 2020 EIT Manufacturing
Příjemce : University of Patras Laboratory for Manufacturing Systems and Automation
Anotace : M-NEST-II aims to deliver innovative courses enabling the financial exploitation of educational assets (e.g., nuggets, T&LFs, etc.) resultant from two previous activities: M-NEST-I and M-NEST-RIS. M-NEST-II has three main goals: 1) to start implementing educational programs based on EIT-M educational assets targeting the up-/re-skill of CEO/executives and professionals engineers on emergent technologies of added-value manufacturing (AVM); 2) to increase the number of industrial organizations / participants involved in EIT-M activities; 3) to build a robust and flexible business model for the M-NEST distributed factory, aiming the long-term financial return (beyond 2021) of EIT-M-supported educational assets, as well as a self-sustainable strategic agenda for the M-NEST network, covering upcoming industrial needs and other EIT-M flagships. This activity will directly contribute to the financial sustainability of the EIT-M.
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21166Learning through manufacturing challenges II

Poskytovatel : Evropská unie
Manažer : Vavruška Petr
Řešitel : Kolář Petr
Výzva : Horizon 2020 EIT Manufacturing
Příjemce : University of Patras Laboratory for Manufacturing Systems and Automation
Anotace : ManuLearn II aims at increasing the innovation potential of the participating EIT RIS countries by enhancing the educational framework and boosting digitalization under the concept of Industry 4.0. ManuLearn II is considered an extension of ManuLearn, targeting at increasing the impact across industry and academia through the promotion of gender balance and the enhancement of soft skills. Jointly created exchange of experience to industrial manufacturing challenges will be implemented by combining Teaching Factory and Learning Factory concepts with other learning practices. The exchange of industrial challenges and the good practice exchange of experience will be performed through a collaborative network across the industrial and academic sectors. Special focus will be given on Teaching Factory events with skilled women from companies to help motivate young people to avoid gender stereotypes.
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