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Error chain analysis—an effective method for tighter manufacturing process control

Research output: Contribution to journalArticlepeer-review

  • James Dockree
  • Qian Wang
  • Regina Frei
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 know how 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.
Original languageEnglish
JournalProduction Planning and Control
Early online date13 Apr 2020
Publication statusEarly online - 13 Apr 2020


  • Error_Chain_Analysis_v6

    Rights statement: This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning & Control: The Management of Operations on 13.04.2020, available online:

    Accepted author manuscript (Post-print), 926 KB, PDF document

    Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 13/04/21

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