Explore the words cloud of the Z-Fact0r project. It provides you a very rough idea of what is the project "Z-Fact0r" about.
The following table provides information about the project.
Coordinator |
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Organization address contact info |
Coordinator Country | Greece [EL] |
Project website | http://www.z-fact0r.eu/ |
Total cost | 6˙063˙018 € |
EC max contribution | 4˙206˙252 € (69%) |
Programme |
1. H2020-EU.2.1.5.1. (Technologies for Factories of the Future) |
Code Call | H2020-FOF-2016 |
Funding Scheme | IA |
Starting year | 2016 |
Duration (year-month-day) | from 2016-10-01 to 2020-03-31 |
Take a look of project's partnership.
Manufacturing represents approximately 21 % of the EU’s GDP and 20 % of its employment, providing more than 30 million jobs in 230 000 enterprises, mostly SMEs. Moreover, each job in industry is considered to be linked to two more in related services. European manufacturing is also a dominant element in international trade, leading the world in areas such as automotive, machinery and agricultural engineering. Already threatened by both the lower-wage economies and other high-tech rivals, the situation of EU companies was even made more difficult by the downturn. The Z-Fact0r consortium has conducted an extensive state-of-the-art research (see section 1.4) and realised that although a number of activities (see section 1.3) have been trying to address the need for zero-defect manufacturing, still there is a vast business opportunity for innovative, high-ROI (Return on Investment) solutions to ensure, better quality and higher productivity in the European manufacturing industries. The Z-Fact0r solution comprises the introduction of five (5) multi-stage production-based strategies targeting (i) the early detection of the defect (Z-DETECT), (ii) the prediction of the defect generation (Z-PREDICT), (iii) the prevention of defect generation by recalibrating the production line (multi-stage), as well as defect propagation in later stages of the production (Z-PREVENT), (iv) the reworking/remanufacturing of the product, if this is possible, using additive and subtractive manufacturing techniques (Z-REPAIR) and (v) the management of the aforementioned strategies through event modelling, KPI (key performance indicators) monitoring and real-time decision support (Z-MANAGE). To do that we have brought together a total of thirteen (13) EU-based partners, representing both industry and academia, having ample experience in cutting-edge technologies and active presence in the EU manufacturing.
Project Website | Websites, patent fillings, videos etc. | 2020-04-09 10:39:31 |
Z-Fact0r middleware platform and components | Demonstrators, pilots, prototypes | 2020-04-09 10:39:31 |
Integration Discipline and Incremental Strategy | Documents, reports | 2020-04-09 10:39:31 |
Techniques for product reworking | Documents, reports | 2020-04-09 10:39:31 |
Methodology for Z-Factor solution validation / evaluation | Documents, reports | 2020-04-09 10:39:31 |
Z-MANAGE Prescriptive Green Optimisation Model and Solver | Other | 2020-04-09 10:39:31 |
Management update report 2 | Documents, reports | 2020-04-09 10:39:31 |
Deburring remanufacturing approaches | Documents, reports | 2020-04-09 10:39:31 |
Z-PREVENT Validation and Verification of KPIs | Documents, reports | 2020-04-09 10:39:31 |
Data Management Plan (DMP) | Documents, reports | 2020-04-09 10:39:31 |
Management update report 1 | Documents, reports | 2020-04-09 10:39:31 |
Report on the analysis of SoA, existing and past pro-jects/initiatives | Documents, reports | 2020-04-09 10:39:31 |
Take a look to the deliverables list in detail: detailed list of Z-Fact0r deliverables.
year | authors and title | journal | last update |
---|---|---|---|
2019 |
Zhengwen Huang, Maozhen Li, Alireza Mousavi, Morad Danishva, Zidong Wang EGEP: An Event Tracker Enhanced Gene Expression Programming for Data Driven System Engineering Problems published pages: 117-126, ISSN: 2471-285X, DOI: 10.1109/tetci.2018.2864724 |
IEEE Transactions on Emerging Topics in Computational Intelligence 3/2 | 2020-04-09 |
2018 |
Zhengwen Huang, Maozhen Li, Christos Chousidis, Alireza Mousavi, Changjun Jiang Schema Theory-Based Data Engineering in Gene Expression Programming for Big Data Analytics published pages: 792-804, ISSN: 1089-778X, DOI: 10.1109/tevc.2017.2771445 |
IEEE Transactions on Evolutionary Computation 22/5 | 2020-04-09 |
2018 |
Morad Danishvar, Alireza Mousavi, Peter Broomhead EventiC: A Real-Time Unbiased Event-Based Learning Technique for Complex Systems published pages: 1-14, ISSN: 2168-2216, DOI: 10.1109/tsmc.2017.2775666 |
IEEE Transactions on Systems, Man, and Cybernetics: Systems | 2020-04-09 |
2019 |
Foivos Psarommatis, Gökan May, Paul-Arthur Dreyfus, Dimitris Kiritsis Zero defect manufacturing: state-of-the-art review, shortcomings and future directions in research published pages: 1-17, ISSN: 0020-7543, DOI: 10.1080/00207543.2019.1605228 |
International Journal of Production Research | 2020-04-09 |
2017 |
Gökan May, Dimosthenis Ioannidis, Ifigeneia N. Metaxa, Dimitrios Tzovaras, Dimitris Kiritsis An approach to development of system architecture in large collaborative projects published pages: 67-75, ISSN: , DOI: 10.1007/978-3-319-66923-6_8 |
APMS 2017: Advances in Production Management Systems. The Path to Intelligent, Collaborative and Sustainable Manufacturing | 2020-04-09 |
2017 |
T. Vafeiadis, D. Ioannidis, C. Ziazios, I.N. Metaxa, D. Tzovaras Towards Robust Early Stage Data Knowledge-based Inference Engine to Support Zero-defect Strategies in Manufacturing Environment published pages: 679-685, ISSN: 2351-9789, DOI: 10.1016/j.promfg.2017.07.167 |
Procedia Manufacturing 11 | 2020-04-09 |
2018 |
Thanasis Vafeiadis, Nikolaos Dimitriou, Dimosthenis Ioannidis, Tracy Wotherspoon, Gregory Tinker, Dimitrios Tzovaras A framework for inspection of dies attachment on PCB utilizing machine learning techniques published pages: 81-94, ISSN: 2327-0012, DOI: 10.1080/23270012.2018.1434425 |
Journal of Management Analytics 5/2 | 2020-04-09 |
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