Price per kilogram is not the cost that matters

01

The purchasing unit and the production unit are different

Industrial chemicals are bought by the kilogram, but factories earn money through acceptable output delivered on time. The relevant comparison is therefore the cost required to produce a saleable kilogram of fabric—not simply the price printed on a quotation.

NIST’s supply-chain guidance treats total cost of ownership as broader than purchase price, incorporating factors such as freight, lead time, inventory, overhead, and risk. In a wet-processing operation, that view must extend into the recipe and machine: dosage, bath ratio, process duration, steam, water, electricity, first-pass quality, and rework all influence the result.

02

Build the comparison around one production outcome

Choose a common denominator before the trial begins: for example, cost per accepted kilogram, cost per batch, or contribution per machine-hour. Then compare the existing and proposed routes under equivalent fabric, shade, machine, lot size, and quality requirements.

• Product cost: delivered price × actual dosage.
• Process cost: water, steam, electricity, labour, and machine occupancy.
• Quality cost: correction, re-dyeing, downgraded fabric, and process loss.
• Working-capital cost: stockholding, minimum order quantities, and slow-moving items.
• Supply cost: lead-time variability, emergency freight, documentation, and continuity risk.

The right question is not ‘Which product is cheaper?’ It is ‘Which validated route delivers the required output at the lowest effective cost and acceptable risk?’

03

Time is a cost—even when it is missing from the quotation

A product that removes a process step or shortens a cycle may create value through additional machine availability. That value should not be automatically booked as savings: it only becomes real when the released capacity is usable. A constrained dyehouse may convert it into extra throughput; an unconstrained line may not.

The same discipline applies to resource reductions. EPA and European textile guidance connect right-first-time production, accurate dosing, lower bath ratios, process control, water use, energy use, and chemical consumption. These variables interact, so isolating only chemical price can hide the dominant cost driver.

04

A decision, not a sales calculation

Agree the formula, data owner, baseline, and acceptance criteria before the trial. Record uncertainty rather than forcing precision where meters or allocations are weak. Run enough repeat batches to learn whether the result survives normal variation.

This framework is a screening and decision tool, not a guaranteed savings model. Fabric, shade, machine condition, recipe, utilities, operating discipline, and commercial terms can materially change the outcome. Bulk validation and finance review remain essential.