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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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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Mill Operations & Industrial Engineering
Splits annual quality spend into the four ISO 9004 categories, expresses the total as a share of turnover, and reports the diagnostic ratios – appraisal against prevention, prevention against failure, external against internal – then sizes the saving available from rebalancing towards prevention.
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Mill Operations & Industrial Engineering
Multiplies stage-by-stage first-pass yields through a spinning to finishing chain into a rolled throughput yield, compares it against the final yield that rework achieves, and sizes the hidden factory – the units that only shipped because they were processed twice.
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Mill Operations & Industrial Engineering
Builds Shewhart control limits from baseline subgroup data using the published d2 and d3 constants, reproducing A2, D3, D4, B5 and B6 exactly, names the chart the subgroup size demands, and reports how many subgroups the chart needs to catch a stated shift and how much wider the limits would be if the overall standard deviation were used instead.
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Mill Operations & Industrial Engineering
Loads one fabric order against the machine hours three work centres actually offer inside the due-date window: percentage load at weaving, dyeing and finishing, which centre binds, the schedule slip in days, the machine hours short at the constraint, the quantity that genuinely fits the window and the whole dyeing batches the order mass forces.
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Mill Operations & Industrial Engineering
Separates short-term from long-term capability on any measured characteristic: estimates the within-subgroup standard deviation from the mean subgroup range as Rbar / d2, computes Cp and Cpk against it, computes Pp and Ppk against the overall standard deviation of every reading, reports the gap between the two pairs, the expected nonconforming rate in ppm and a lower confidence bound on Cpk.
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Mill Operations & Industrial Engineering
Finds the age-replacement interval that minimises long-run maintenance cost per operating hour for a Weibull-distributed wear-out failure, compares it against your current interval and against running to failure, and reports the annual saving and the unplanned stops avoided across the fleet.
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