Mill Operations & Industrial Engineering
Sizes yarn purchase batches: holding cost per kg including moisture loss, economic order quantity, orders per year, annual ordering and holding costs, total inventory cost and whether a bulk discount threshold beats the EOQ.
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Mill Operations & Industrial Engineering
Builds a ratio pack from retail size demand: garments of each size per master carton by largest remainder allocation, the largest deviation from the demand curve, cartons required for the order and the biggest size overage it creates.
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Mill Operations & Industrial Engineering
Models yellowing of unfinished fabric in uncontrolled storage: acceleration factors from temperature, humidity and residual size, the yellowing rate they produce, current b* value, months until the acceptance limit and whether stock is already overdue.
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Mill Operations & Industrial Engineering
Predicts loss of dye strength in storage: degradation rate after temperature correction, strength remaining now, the corrected dose needed to reach the original shade, the percentage dose increase and shelf life remaining against a strength limit.
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Mill Operations & Industrial Engineering
Maximises fabric rolls per shipping container: rolls per layer, layers achievable with hexagonal nesting, the load limited by volume against the load limited by payload, volume and payload utilisation and the weight actually shipped.
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Mill Operations & Industrial Engineering
Plans stable yarn cone stacking: cones per layer on the pallet footprint, layers within the height limit, total cones and pallet weight, footprint utilisation and the cone count a weight limit would allow.
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Mill Operations & Industrial Engineering
Builds a consistent cotton laydown from two lots: the blend fraction and bale count from each lot to hit a target micronaire, the resulting staple length and strength, laydown micronaire standard deviation and how many sigma of tolerance that leaves.
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