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Z-Fact0r SIGNED

Zero-defect manufacturing strategies towards on-line production management for European factories

Total Cost €

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EC-Contrib. €

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Partnership

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 Z-Fact0r project word cloud

Explore the words cloud of the Z-Fact0r project. It provides you a very rough idea of what is the project "Z-Fact0r" about.

strategies    investment    million    economies    innovative    job    section    enterprises    detect    rivals    13    machinery    propagation    linked    solutions    wage    solution    remanufacturing    kpi    predict    active    technologies    extensive    lower    services    fact0r    agricultural    aforementioned    monitoring    threatened    stage    total    gdp    zero    prevention    techniques    see    thirteen    trade    representing    decision    business    vast    international    companies    academia    subtractive    automotive    performance    quality    ample    realised    jobs    smes    trying    situation    mostly    stages    additive    reworking    edge    manufacturing    generation    made    later    prediction    downturn    productivity    prevent    tech    industries    difficult    recalibrating    line    approximately    world    defect    roi    engineering    return    dominant    cutting    opportunity    detection    introduction    industry    21    employment    indicators    time    230    repair    event   

Project "Z-Fact0r" data sheet

The following table provides information about the project.

Coordinator
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS 

Organization address
address: CHARILAOU THERMI ROAD 6 KM
city: THERMI THESSALONIKI
postcode: 57001
website: www.certh.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 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

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS EL (THERMI THESSALONIKI) coordinator 627˙500.00
2    BRUNEL UNIVERSITY LONDON UK (UXBRIDGE) participant 717˙757.00
3    CENTER FOR TECHNOLOGY RESEARCH ANDINNOVATION (CETRI) LTD CY (Nicosia) participant 494˙375.00
4    SIR SPA IT (MODENA) participant 440˙125.00
5    ATLANTIS ENGINEERING AE EL (THESSALONIKI) participant 355˙250.00
6    HOLONIX SRL IT (MEDA (MB)) participant 339˙500.00
7    DATAPIXEL SL ES (GETXO) participant 266˙875.00
8    DURIT METALURGIA PORTUGUESA DO TUNGSTENIO LDA PT (ALBERGARIA-A-VELHA) participant 224˙977.00
9    NUEVA HERRAMIENTA DE CORTE, S.A. ES (Elorrio) participant 219˙312.00
10    INOVA+ - INNOVATION SERVICES, SA PT (MATOSINHOS) participant 188˙562.00
11    MICROSEMI SEMICONDUCTOR LIMITED UK (GWENT) participant 187˙880.00
12    SERVIZI CONFINDUSTRIA BERGAMO SRL IT (BERGAMO) participant 127˙750.00
13    INTERSEALS SRL IT (CAPRIOLO) participant 16˙388.00
14    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) participant 0.00

Map

 Project objective

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.

 Deliverables

List of deliverables.
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.

 Publications

year authors and title journal last update
List of publications.
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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