MAIA · Models and Methods for an active ageing workforce: an international academy
„Хоризонт 2020“ — Действия „Мария Склодовска-Кюри“
- Период
- 2020-01-01 → 2025-10-31
- Финансиране от ЕС
- 542 800 €
- Участници
- 15
- Схема
- MSCA-RISE
Линиите свързват координатора с партньорите.
Накратко на български
Взаимодействието между възрастните работници в индустрията и новите технологии, като например приемането на дигитални процеси, се анализира чрез различни културни и организационни фактори. Това помага да се разбере как да се запази опитът на служителите и да се адаптира управлението.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Models and Methods for an active ageing workforce: an international academy
The project ‘MAIA’ aims to create an innovative and timely ‘Research and Innovation Staff Exchange’ by developing an international academy, comprising of 14 academic partners . The Exchange will focus on active ageing industrial workforce problems and needs. Europe, together with other developed/rapidly developing economies (RDE), such as the USA, Japan, Canada, New Zealand, and China, are experiencing a similar problem: a rapidly increasing proportion of older workers in the industrial workforce. The industry related implications of this phenomena are deep and wide-spread, including concerns involving workforce depletion, irrecoverable loss of experiential knowledge, workforce constraints on adoption of Industry 4.0 technologies and processes, the need to design and develop ergonomic and tech assisted work methods, as well as changes in managerial styles and organizational incentive and improvement programs. Our project will be the first to bring global scope and perspective on the complex phenomena of the interaction of an aging industrial workforce with current and emergent processes and technologies and organizational design and management. The research objective is to develop new knowledge about the interaction of an aging industrial workforce with a range of contextual multi-level factors such as culture, location, workforce demographics, technology type and sophistication, company policies, organizational design, managerial attributes, process type, supervisory styles, and more micro-level variables. Relevant extant industry related theoretical lens such as Hofstede’s cultural dimensions theory, TAM (technology acceptance models), and Socio-Technical theory shall guide the investigation. The data shall be analysed using a rigorous combinatorial approach, employing analytical, statistical, and qualitative methods. Our deliverables shall consist of theory development, reasoned and study results-based policy recommendations, innovations in production and distribution technology designs, and specific, practical, managerial insights and prescriptions. The primary objective of MAIA Academy is to establish a distinctive research and innovation staff exchange network focused on the challenges associated with an aging workforce in the manufacturing sector. MAIA project adopts a multidisciplinary approach to achieve the following goals: -Investigate the needs and requirements of the aging workforce in European production and assembly systems. -Develop new design methodologies to design assembly and production workspaces for ageing-workers, emphasizing the preservation of productivity, quality, and safety. -Create new analytical models to support ageing-oriented assembly and production line design, validating them through global case studies. -Design and test ergonomic devices aimed at assisting aging workers in reducing muscular fatigue and the risk of musculoskeletal disorders during tasks. -Design and test immersive and virtual reality instruments to guide and support ageing workers in the production process.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
Working populations in European Member States are ageing. In short, if most people continue to retire at around 60 years of age, the European labour force will shrink by around three million per year over the period 2020 to 2035 as reported by EU-OSHA. There is a need for a new and more comprehensive policy design to counter the shortage of workers in the future.Moreover in European production systems there is a growing demand of applications with arm-based robots, exoskeletons, smart and intelligent working tools, immersive virtual reality technology. All these last generation technologies if well applied have a big potential to preserve the productivity, quality and safety of the aging workforce by better powering their great level experience and extraordinary skills. The main objective of the MAIA Academy is to create a unique research and innovation staff exchange network focused on the ageing problem in manufacturing. MAIA project will provide a multidisciplinary approach to achieve objectives as:-The study of the aging workforce needs and requirements in European production and assembly systems;-The development of new design methodology to create assembly and production workspaces elderly-oriented by preserving productivity, quality and safety;-The development of new analytical models to support assembly and production line design elderly-oriented and validate them with world-wide case studies.-Design and test of new ergonomics devices in order to support aging workers during tasks, by helping them in reducing muscular fatigue and risk of muscle skeletal disorders-Design and test of new immersive and virtual reality instruments in order to guide elder workers and support them in the production process.MAIA will bring together 7 European partners and 6 Third country partners to create a new generation of knowledge towards the creation of age-friendly paradigms, models and methods for manufacturing systems.
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITA DEGLI STUDI DI PADOVA · PadovaКоординаторИталия
- AUCKLAND UNIVERSITY OF TECHNOLOGY · AUCKLANDНова Зеландия
- GROUPE KEDGE BUSINESS SCHOOL · TalenceФранция
- HOCHSCHULE FUR WIRTSCHAFT UND RECHT BERLIN · BerlinГермания
- INSTITUT SUPERIEUR DE L'AERONAUTIQUE ET DE L'ESPACE · TOULOUSEФранция
- KEIO UNIVERSITY · TOKYOЯпония
- OSTBAYERISCHE TECHNISCHE HOCHSCHULE REGENSBURG · RegensburgГермания
- RESEARCH FOUNDATION OF THE CITY UNIVERSITY OF NEW YORK · New YorkСъединени щати
- TECHNISCHE UNIVERSITAET MUENCHEN · MuenchenГермания
- TECHNISCHE UNIVERSITAT DARMSTADT · DarmstadtГермания
- THE CHINESE UNIVERSITY OF HONG KONG · HONG KONGКитай
- THE UNIVERSITY OF AUCKLAND · AucklandНова Зеландия
- TORONTO METROPOLITAN UNIVERSITY · TorontoКанада
- UNIVERSITY OF SOUTH FLORIDA BOARD OF TRUSTEES · TampaСъединени щати
- UNIVERZA V LJUBLJANI · LjubljanaСловения
Връзки
- Виж в CORDIS
- DOI: 10.3030/873077
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5182574b0&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e51e91e25b&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5245f10c5&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5ce7649c5&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e5f88e6044&appId=PPGMS
- https://maiaproject.eu/
Данни: CORDIS, © Европейски съюз
