Integrated Zero Defect Manufacturing Solution for High Value Adding Multi-stage Manufacturing systems

Información del proyecto

ForZDM

Identificador del acuerdo de subvención: 723698

DOI 10.3030/723698

Proyecto cerrado

Fecha de la firma de la CE 1 Julio 2016

Fecha de inicio 1 Octubre 2016

Fecha de finalización 31 Marzo 2021

Financiado con arreglo a

• INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Advanced manufacturing and processing

Coste total € 7 566 108,75

Aportación de la UE € 5 896 860,40

Coordinado por

POLITECNICO DI MILANO
Italy

Resultado final

Other (5)

Heterogeneous data correlation, error budgeting and root cause analysis tool

This deliverable reports results from task 4.1. It includes a document and a product (software)

Critical process models

This deliverable reports results from task 4.2. It includes a document and a product (software)

Product variation models

This deliverable reports results from task 4.3. It includes a document and a product (software)

Integrated quality and logistics process-chain modelling and analysis tool

This deliverable reports results from tasks 5.1, 5.2, 5.3. It includes a document and a product (software)

Sensitivity analysis tool

This deliverable reports results from task 5.4. It includes a document and a product (software)

Demonstrators, pilots, prototypes (3)

Demonstration of use case 3

This deliverable focuses on the implementation of project results in the third demo (task 7.3)

Demonstration of use case 2

This deliverable focuses on the implementation of project results in the second demo (task 7.2)

Demonstration of use case 1

This deliverable focuses on the implementation of project results in the first demo (task 7.1)

Websites, patent fillings, videos etc. (1)

Project website

This deliverable provides a product, a website for internal and external project communication

Documents, reports (2)

ZDM strategy, vision and framework: book and a public white paper

This deliverable generalizes and formalizes the ForZDM approach

Evaluation of KPIs and impacts of the use cases

This deliverable reports results from task 7.4

Publicaciones

Peer reviewed articles (9)

Web-based Platform for Data Analysis and Monitoring

Autores: Colin Reiff, Stefan Oechsle, Florian Eger, Alexander Verl
Publicado en: Procedia CIRP, Edición 86, 2019, Página(s) 31-36, ISSN 2212-8271
Editor: CIRP
DOI: 10.1016/j.procir.2020.01.009

Indirect cutting tool wear classification using deep learning and chip colour analysis

Autores: Luca Pagani, Paolo Parenti, Salvatore Cataldo, Paul J. Scott, Massimiliano Annoni
Publicado en: The International Journal of Advanced Manufacturing Technology, Edición 111/3-4, 2020, Página(s) 1099-1114, ISSN 0268-3768
Editor: Springer Verlag
DOI: 10.1007/s00170-020-06055-6

Reference architecture for the industrial implementation of Zero-Defect Manufacturing strategies

Autores: Maria Chiara Magnanini, Marcello Colledani, Davide Caputo
Publicado en: Procedia CIRP, Edición 93, 2020, Página(s) 646-651, ISSN 2212-8271
Editor: Elsevier
DOI: 10.1016/j.procir.2020.05.154

Reaching Zero-Defect Manufacturing by Compensation of Dimensional Deviations in the Manufacturing of Rotating Hollow Parts

Autores: F. Eger, C. Reiff, P. Tempel, M.C. Magnanini, D. Caputo, A. Lechler, A. Verl
Publicado en: Procedia Manufacturing, Edición 51, 2020, Página(s) 388-393, ISSN 2351-9789
Editor: FAIM 2021
DOI: 10.1016/j.promfg.2020.10.055

Smart centering for rotation-symmetric parts in multi-stage production systems for zero-defect manufacturing

Autores: Colin Reiff, Florian Eger, Philipp Tempel, Maria Chiara Magnanini, Jon Ander Ortiz, Marcello Colledani, Alexander Verl, Iñigo Sarries
Publicado en: Procedia CIRP, Edición 79, 2019, Página(s) 27-32, ISSN 2212-8271
Editor: Elsevier
DOI: 10.1016/j.procir.2019.02.006

Correlation analysis methods in multi-stage production systems for reaching zero-defect manufacturing

Autores: Florian Eger, Colin Reiff, Bernd Brantl, Marcello Colledani, Alexander Verl
Publicado en: Procedia CIRP, Edición 72, 2018, Página(s) 635-640, ISSN 2212-8271
Editor: Elsevier
DOI: 10.1016/j.procir.2018.03.163

Zero Defect Manufacturing Strategies for Reduction of Scrap and Inspection Effort in Multi-stage Production Systems

Autores: Florian Eger, Daniel Coupek, Davide Caputo, Marcello Colledani, Mariluz Penalva, Jon Ander Ortiz, Hermann Freiberger, Gernot Kollegger
Publicado en: Procedia CIRP, Edición 67, 2018, Página(s) 368-373, ISSN 2212-8271
Editor: Elsevier
DOI: 10.1016/j.procir.2017.12.228

A control model for downstream compensation strategy in multi-stage manufacturing systems of complex parts

Autores: Maria Chiara Magnanini, Florian Eger, Colin Reiff, Marcello Colledani, Alexander Verl
Publicado en: IFAC-PapersOnLine, Edición 52/13, 2019, Página(s) 1473-1478, ISSN 2405-8963
Editor: IFAC
DOI: 10.1016/j.ifacol.2019.11.407

MACHINE LEARNING-BASED ANALYSIS ENGINE TO IDENTIFY CRITICAL VARIABLES IN MULTI-STAGE PROCESSES: APPLICATION TO THE INSTALLATION OF BLIND FASTENERS

Autores: MAIALEN MURUA, FERNANDO VEIGA SUAREZ, JUAN ANTONIO ORTEGA LALMOLDA, MARILUZ PENALVA OSCOZ, ALBERTO DIEZ OLIVAN
Publicado en: DYNA, Edición 95/1, 2020, Página(s) 534-540, ISSN 1989-1490
Editor: Dyna Ingenieria e Industria
DOI: 10.6036/9403

Conference proceedings (2)

Part Variation Modeling in Multi-Stage Production Systems for Zero-Defect Manufacturing

Autores: Florian Eger, Philipp Tempel, Maria Chiara Magnanini, Colin Reiff, Marcello Colledani, Alexander Verl
Publicado en: 2019 IEEE International Conference on Industrial Technology (ICIT), 2019, Página(s) 1017-1022, ISBN 978-1-5386-6376-9
Editor: IEEE
DOI: 10.1109/ICIT.2019.8754964

Knowledge Capturing Platform in Multi-Stage Production Systems for Zero-Defect Manufacturing

Autores: Florian Eger, Colin Reiff, Marcello Colledani, Alexander Verl
Publicado en: 2018 25th International Conference on Mechatronics and Machine Vision in Practice (M2VIP), 2018, Página(s) 1-6, ISBN 978-1-5386-7544-1
Editor: IEEE
DOI: 10.1109/M2VIP.2018.8600910