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- According to Qualiblog, ISO 9001:2026 stresses linking signal, decision and result.<\/li>\n
- Measured downtime and scrap are dated, objective and comparable.<\/li>\n
- A finding, analysis, decision, action, verification chain can be traced on the shop floor.<\/li>\n
- The standard does not prescribe machine data: it is one means of evidence.<\/li>\n<\/ul>\n<\/div>\n
What Qualiblog highlights in the new edition<\/h2>\n
J\u00e9r\u00e9my Cicero published ISO 9001:2026 : les nouvelles exigences qui vont changer votre fa\u00e7on de piloter la qualit\u00e9<\/a> (in French) on Qualiblog. He states that the new version of the standard was published on 16 September 2026 and that organizations certified to ISO 9001:2015 have until 30 September 2029 to transition. He presents the changes to address: more visible leadership commitment, a bigger place for quality culture and ethical behavior, opportunities treated as seriously as risks, a more explicit link between strategy, quality policy and results, stronger emphasis on resilience and change management, and retention and sharing of knowledge. Among his practical suggestions for management review: “Pr\u00e9parer un tableau de bord aliment\u00e9 par les r\u00e9clamations, audits, non-conformit\u00e9s, risques et actions.” (in other words: prepare a dashboard fed by complaints, audits, nonconformities, risks and actions).<\/p><\/blockquote>\n
The common thread of the article is linking the signal, the decision and the result, with an example of supplier complaints followed through to the effectiveness check. This article carries that logic over to the shop floor. One important point: what follows is a practitioner’s reading, not a requirement of the standard. ISO 9001 does not prescribe machine data; it asks you to be able to demonstrate control. Downtime and scrap are simply good raw material for that demonstration.<\/p>\n
Why downtime and scrap make good evidence<\/h2>\n
Convincing evidence of control has three qualities: it is dated, it is objective and it allows a before and after comparison. Downtime and scrap data, when measured automatically, meet all three. Each stop has a start, an end and a qualified reason; each scrapped part can be tied to a moment of production. A manual log filled in at the end of a shift, by contrast, is easy to challenge, because it misses short stops and rounds durations.<\/p>\n
These data also connect quality and production. Scrap at restart, drift after a changeover, a run of micro-stops before a defect: these signals speak to both the quality manager and the production manager, and they give management review a shared basis.<\/p>\n
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<\/figure>\nLinking the themes of the new edition to shop floor data<\/h2>\n
The table below takes themes presented by Qualiblog and suggests, for each, a shop floor data point that can serve as an illustration. The examples of evidence are indicative, to adapt to each management system.<\/p>\n