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Conference Paper/Proceeding/Abstract 815 views 112 downloads

Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry

Cinzia Giannetti Orcid Logo

CIE44 & IMSS'14 Proceedings

Swansea University Author: Cinzia Giannetti Orcid Logo

Published in: CIE44 & IMSS'14 Proceedings
Published: Istanb CIE44 & IMSS'14 2014
URI: https://cronfa.swan.ac.uk/Record/cronfa43764
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spelling 2018-11-26T11:09:11.5899695 v2 43764 2018-09-11 Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry a8d947a38cb58a8d2dfe6f50cb7eb1c6 0000-0003-0339-5872 Cinzia Giannetti Cinzia Giannetti true false 2018-09-11 MECH Conference Paper/Proceeding/Abstract CIE44 & IMSS'14 Proceedings CIE44 & IMSS'14 Istanb 31 12 2014 2014-12-31 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University 2018-11-26T11:09:11.5899695 2018-09-11T14:33:42.0260372 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering Cinzia Giannetti 0000-0003-0339-5872 1 0043764-08102018134222.pdf giannetti2018.pdf 2018-10-08T13:42:22.4970000 Output 675449 application/pdf Accepted Manuscript true 2018-10-08T00:00:00.0000000 true eng
title Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry
spellingShingle Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry
Cinzia Giannetti
title_short Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry
title_full Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry
title_fullStr Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry
title_full_unstemmed Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry
title_sort Product Specific Process Knowledge Discovery Using Co-Linearity Index and Penalty Functions to Support Process FMEA in the Steel Industry
author_id_str_mv a8d947a38cb58a8d2dfe6f50cb7eb1c6
author_id_fullname_str_mv a8d947a38cb58a8d2dfe6f50cb7eb1c6_***_Cinzia Giannetti
author Cinzia Giannetti
author2 Cinzia Giannetti
format Conference Paper/Proceeding/Abstract
container_title CIE44 & IMSS'14 Proceedings
publishDate 2014
institution Swansea University
publisher CIE44 & IMSS'14
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Mechanical Engineering
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published_date 2014-12-31T03:55:06Z
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