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Conference Paper/Proceeding/Abstract 411 views

How to save money in a foundry production with opportunities offered by Industry 4.0 and ISO9001:2015 Standard.

Rajesh Ransing Orcid Logo, Steve Brown, HMd Roshan, Meghana Ransing

Plenary Lecture, Jubilee 25th International Scientific and Technical Conference "Foundry production and metallurgy”, Pages: 56 - 64

Swansea University Authors: Rajesh Ransing Orcid Logo, Steve Brown

Abstract

The clauses 6.1 (risk based thinking) and 9.3 (management review) of the quality standard ISO9001:2015 and Industry 4.0 expectations are set to become one of the most important driving factors to trigger a necessary cultural change in making foundries as data driven companies. The paper discusses a...

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Published in: Plenary Lecture, Jubilee 25th International Scientific and Technical Conference "Foundry production and metallurgy”
ISBN: https://rep.bntu.by/handle/data/38803
Published: Belarus BNTU 2017
Online Access: https://rep.bntu.by/handle/data/38803
URI: https://cronfa.swan.ac.uk/Record/cronfa63492
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spelling v2 63492 2023-05-17 How to save money in a foundry production with opportunities offered by Industry 4.0 and ISO9001:2015 Standard. 0136f9a20abec3819b54088d9647c39f 0000-0003-4848-4545 Rajesh Ransing Rajesh Ransing true false 07a865adc76376646bc6c03a69ce35a9 Steve Brown Steve Brown true false 2023-05-17 MECH The clauses 6.1 (risk based thinking) and 9.3 (management review) of the quality standard ISO9001:2015 and Industry 4.0 expectations are set to become one of the most important driving factors to trigger a necessary cultural change in making foundries as data driven companies. The paper discusses a practical case study on how foundries can embed risk based thinking and advanced in-process data analytics to discover opportunities for improvement across foundry operations. The paper introduces concepts such as ‘risks’, ‘uncertainty’ and ‘deficiency of knowledge’ as used in the ISO9001:2015 quality standard and relates it to the expectations on data analysis in the VDA6.3 quality standard. It introduces 7Epsilon steps that take a system approach for in-process data analysis and organizational knowledge management in ISO9001:2015 context. A novel penalty matrix based data visualization technique has been explained and the association of penalty values with risk based thinking highlighted.An example of reducing the rework effort to minimize the effect of inclusion defects in the manufacture of steel castings is discussed. The paper also introduces a simple but useful technique for quantifying qualitative factors such as quality of pouring stream, continuous/interrupted pouring etc. The paper focuses on the saving opportunities foundries can realise with data driven decision making methods and explains how the proposed methodology has ability to generate new hypotheses for achieving continual process improvement and innovation. Conference Paper/Proceeding/Abstract Plenary Lecture, Jubilee 25th International Scientific and Technical Conference "Foundry production and metallurgy” 56 64 BNTU Belarus https://rep.bntu.by/handle/data/38803 ISO9001:2015, VDA6.3, Process Improvement, 7Epsilon, Six Sigma 18 10 2017 2017-10-18 https://rep.bntu.by/handle/data/38803 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University Not Required 2023-06-13T13:05:02.9464864 2023-05-17T18:08:42.4601047 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Rajesh Ransing 0000-0003-4848-4545 1 Steve Brown 2 HMd Roshan 3 Meghana Ransing 4
title How to save money in a foundry production with opportunities offered by Industry 4.0 and ISO9001:2015 Standard.
spellingShingle How to save money in a foundry production with opportunities offered by Industry 4.0 and ISO9001:2015 Standard.
Rajesh Ransing
Steve Brown
title_short How to save money in a foundry production with opportunities offered by Industry 4.0 and ISO9001:2015 Standard.
title_full How to save money in a foundry production with opportunities offered by Industry 4.0 and ISO9001:2015 Standard.
title_fullStr How to save money in a foundry production with opportunities offered by Industry 4.0 and ISO9001:2015 Standard.
title_full_unstemmed How to save money in a foundry production with opportunities offered by Industry 4.0 and ISO9001:2015 Standard.
title_sort How to save money in a foundry production with opportunities offered by Industry 4.0 and ISO9001:2015 Standard.
author_id_str_mv 0136f9a20abec3819b54088d9647c39f
07a865adc76376646bc6c03a69ce35a9
author_id_fullname_str_mv 0136f9a20abec3819b54088d9647c39f_***_Rajesh Ransing
07a865adc76376646bc6c03a69ce35a9_***_Steve Brown
author Rajesh Ransing
Steve Brown
author2 Rajesh Ransing
Steve Brown
HMd Roshan
Meghana Ransing
format Conference Paper/Proceeding/Abstract
container_title Plenary Lecture, Jubilee 25th International Scientific and Technical Conference "Foundry production and metallurgy”
container_start_page 56
publishDate 2017
institution Swansea University
isbn https://rep.bntu.by/handle/data/38803
publisher BNTU
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hierarchy_top_title Faculty of Science and Engineering
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url https://rep.bntu.by/handle/data/38803
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description The clauses 6.1 (risk based thinking) and 9.3 (management review) of the quality standard ISO9001:2015 and Industry 4.0 expectations are set to become one of the most important driving factors to trigger a necessary cultural change in making foundries as data driven companies. The paper discusses a practical case study on how foundries can embed risk based thinking and advanced in-process data analytics to discover opportunities for improvement across foundry operations. The paper introduces concepts such as ‘risks’, ‘uncertainty’ and ‘deficiency of knowledge’ as used in the ISO9001:2015 quality standard and relates it to the expectations on data analysis in the VDA6.3 quality standard. It introduces 7Epsilon steps that take a system approach for in-process data analysis and organizational knowledge management in ISO9001:2015 context. A novel penalty matrix based data visualization technique has been explained and the association of penalty values with risk based thinking highlighted.An example of reducing the rework effort to minimize the effect of inclusion defects in the manufacture of steel castings is discussed. The paper also introduces a simple but useful technique for quantifying qualitative factors such as quality of pouring stream, continuous/interrupted pouring etc. The paper focuses on the saving opportunities foundries can realise with data driven decision making methods and explains how the proposed methodology has ability to generate new hypotheses for achieving continual process improvement and innovation.
published_date 2017-10-18T13:05:01Z
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