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

Deliverables

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)

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)

Project website

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

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

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Publications

Web-based Platform for Data Analysis and Monitoring

Author(s): Colin Reiff, Stefan Oechsle, Florian Eger, Alexander Verl
Published in: Procedia CIRP, 86, 2019, Page(s) 31-36, ISSN 2212-8271
Publisher: CIRP
DOI: 10.1016/j.procir.2020.01.009

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

Author(s): Luca Pagani, Paolo Parenti, Salvatore Cataldo, Paul J. Scott, Massimiliano Annoni
Published in: The International Journal of Advanced Manufacturing Technology, 111/3-4, 2020, Page(s) 1099-1114, ISSN 0268-3768
Publisher: Springer Verlag
DOI: 10.1007/s00170-020-06055-6

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

Author(s): Maria Chiara Magnanini, Marcello Colledani, Davide Caputo
Published in: Procedia CIRP, 93, 2020, Page(s) 646-651, ISSN 2212-8271
Publisher: 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

Author(s): F. Eger, C. Reiff, P. Tempel, M.C. Magnanini, D. Caputo, A. Lechler, A. Verl
Published in: Procedia Manufacturing, 51, 2020, Page(s) 388-393, ISSN 2351-9789
Publisher: 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

Author(s): Colin Reiff, Florian Eger, Philipp Tempel, Maria Chiara Magnanini, Jon Ander Ortiz, Marcello Colledani, Alexander Verl, Iñigo Sarries
Published in: Procedia CIRP, 79, 2019, Page(s) 27-32, ISSN 2212-8271
Publisher: Elsevier
DOI: 10.1016/j.procir.2019.02.006

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

Author(s): Florian Eger, Colin Reiff, Bernd Brantl, Marcello Colledani, Alexander Verl
Published in: Procedia CIRP, 72, 2018, Page(s) 635-640, ISSN 2212-8271
Publisher: 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

Author(s): Florian Eger, Daniel Coupek, Davide Caputo, Marcello Colledani, Mariluz Penalva, Jon Ander Ortiz, Hermann Freiberger, Gernot Kollegger
Published in: Procedia CIRP, 67, 2018, Page(s) 368-373, ISSN 2212-8271
Publisher: Elsevier
DOI: 10.1016/j.procir.2017.12.228

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

Author(s): Maria Chiara Magnanini, Florian Eger, Colin Reiff, Marcello Colledani, Alexander Verl
Published in: IFAC-PapersOnLine, 52/13, 2019, Page(s) 1473-1478, ISSN 2405-8963
Publisher: 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

Author(s): MAIALEN MURUA, FERNANDO VEIGA SUAREZ, JUAN ANTONIO ORTEGA LALMOLDA, MARILUZ PENALVA OSCOZ, ALBERTO DIEZ OLIVAN
Published in: DYNA, 95/1, 2020, Page(s) 534-540, ISSN 1989-1490
Publisher: Dyna Ingenieria e Industria
DOI: 10.6036/9403

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

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

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

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