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PDCA from Theory to Effective Applications: A Case Study of Design for Reducing Human Error in Assembly Process

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Bibliographic Details
Published in:Advances in Operations Research
Format: Online Article RSS Article
Published: 2023
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container_title Advances in Operations Research
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
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genre Journal Article
id rss_article:16696
institution FRELIP
journal_source_facet Advances in Operations Research
publishDate 2023
publishDateSort 2023
record_format rss_article
spellingShingle PDCA from Theory to Effective Applications: A Case Study of Design for Reducing Human Error in Assembly Process
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
title PDCA from Theory to Effective Applications: A Case Study of Design for Reducing Human Error in Assembly Process
title_auth PDCA from Theory to Effective Applications: A Case Study of Design for Reducing Human Error in Assembly Process
title_full PDCA from Theory to Effective Applications: A Case Study of Design for Reducing Human Error in Assembly Process
title_fullStr PDCA from Theory to Effective Applications: A Case Study of Design for Reducing Human Error in Assembly Process
title_full_unstemmed PDCA from Theory to Effective Applications: A Case Study of Design for Reducing Human Error in Assembly Process
title_short PDCA from Theory to Effective Applications: A Case Study of Design for Reducing Human Error in Assembly Process
title_sort pdca from theory to effective applications: a case study of design for reducing human error in assembly process
topic Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://www.hindawi.com/journals/aor/2023/8007474/