Error chain analysis—an effective method for tighter manufacturing process control
Error chain analysis—an effective method for tighter manufacturing process control
One of aims of manufacturing quality control is to ensure that products are made free from defects according to specifications without unnecessarily increasing time and cost of production. Over-control of a process can be as detrimental to a manufacturer as under-control. It is common in industry that operators use their personal knowhow and intuition to decide where to implement process verification, and where to tighten it when processes are not meeting specifications. This is partially because there is little scientific guidance that can assist operators in making a decision on levels of quality control of a process at varying stages. To remedy this, a new method for manufacturing quality control, namely Error Chain Analysis (ECA), is introduced and its application is illustrated in this article. ECA is capable of statistically analysing the quality of a multi-stage manufacturing process based on existing control measures, and it enables to indicate where added or tighter control may need to be effectively implemented. For testing its applicability, ECA was built into a user-friendly tool that was subsequently used to analyse data gathered from a large manufacturing company in the UK.
FMEA, Quality control, manufacturing, production, quality assurance
Dockree, James
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Wang, Qian
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Frei, Regina
fa00170f-356a-4a0d-8030-d137fd855880
Dockree, James
e63264d2-1d11-469a-9956-b68746f8ef46
Wang, Qian
c39a004c-5395-4139-942c-a0f9050e7015
Frei, Regina
fa00170f-356a-4a0d-8030-d137fd855880
Dockree, James, Wang, Qian and Frei, Regina
(2020)
Error chain analysis—an effective method for tighter manufacturing process control.
Production Planning & Control.
(doi:10.1080/09537287.2020.1749324).
Abstract
One of aims of manufacturing quality control is to ensure that products are made free from defects according to specifications without unnecessarily increasing time and cost of production. Over-control of a process can be as detrimental to a manufacturer as under-control. It is common in industry that operators use their personal knowhow and intuition to decide where to implement process verification, and where to tighten it when processes are not meeting specifications. This is partially because there is little scientific guidance that can assist operators in making a decision on levels of quality control of a process at varying stages. To remedy this, a new method for manufacturing quality control, namely Error Chain Analysis (ECA), is introduced and its application is illustrated in this article. ECA is capable of statistically analysing the quality of a multi-stage manufacturing process based on existing control measures, and it enables to indicate where added or tighter control may need to be effectively implemented. For testing its applicability, ECA was built into a user-friendly tool that was subsequently used to analyse data gathered from a large manufacturing company in the UK.
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final version
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Accepted/In Press date: 26 March 2020
e-pub ahead of print date: 13 April 2020
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Publisher Copyright:
© 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
Keywords:
FMEA, Quality control, manufacturing, production, quality assurance
Identifiers
Local EPrints ID: 439431
URI: http://eprints.soton.ac.uk/id/eprint/439431
ISSN: 0953-7287
PURE UUID: f659e25a-4278-40a9-b07b-fd0875c07a02
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Date deposited: 22 Apr 2020 16:32
Last modified: 17 Mar 2024 05:29
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Author:
James Dockree
Author:
Qian Wang
Author:
Regina Frei
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