Testing & Quality
Turns the readings from a set of test specimens into the mean, sample standard deviation, CV% and a confidence interval built on the correct t value for the specimen count – the summary every textile test report has to carry, whatever property was measured.
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Testing & Quality
Places a laboratory result against a restricted substance limit with its expanded uncertainty, applies a guard band to give an acceptance limit, converts the result between mg/kg, ppb and percent, and reports the margin against a later limit that a stepped-down threshold will bring.
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Testing & Quality
Compares a declared fibre composition against a test result fibre by fibre, applies the tolerance as percentage points of total fibre weight rather than as a percentage of the declared figure, shows the band each declaration allows, and removes the tolerance where the label claims a single fibre.
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Mill Operations & Industrial Engineering
Separates process demand from fresh intake through the recycle loop, closes the balance across evaporation, effluent and discharge, and compares specific consumption against a benchmark to give the saving available and the recycle rate that would match it.
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Mill Operations & Industrial Engineering
Builds the boiler heat balance from steam demand and feedwater temperature, adds the blowdown heat loss, converts the total to fuel and cost per tonne of steam, and returns the make-up water and the flash steam a condensate return would yield.
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Testing & Quality
Computes warp, weft and Peirce cloth cover factors from sett and count, takes the worse of the two measured slippage forces against specification, and solves the cover factor and pick density a target resistance would actually require.
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Testing & Quality
Normalises the three moisture management tester outputs onto their index scales, blends them into the OMMC with the standard weighting, returns the grade, and identifies which index is limiting and what perfecting it alone would be worth.
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Testing & Quality
Places measured exposure hours on the logarithmic blue wool scale, returning the achieved rating and the standard it rounds to, the hours a target grade demands, the margin either way and the equivalent AATCC fading units.
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Mill Operations & Industrial Engineering
Scores digital maturity two ways – the weighted average an assessment usually reports and the minimum the dependency chain actually permits – and reports the overstatement between them, the limiting layer and the levels of investment a target implies.
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Mill Operations & Industrial Engineering
Sets the reorder point for a discrete spare from an exact Poisson model of demand during the lead time, compares the policy service level against the economically optimal one derived by marginal analysis, and reports what the gap between them costs a year.
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