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Insights › Solution stories

Solution stories

Corrugated Packaging: Job Costing and Machine Utilisation

Job-level costing, board planning and setup reduction for a box maker.

Trikaan Research & Engineering·10 Nov 2026·4 min read
Corrugated Packaging: Job Costing and Machine Utilisation

KEY TAKEAWAYS

  • Every order is a different size, ply and print — costing by average loses money.
  • Board planning across orders reduced trim waste.
  • Corrugator and printer OEE revealed setup losses.
  • Actual cost per job changed pricing conversations.
About this story: This is an illustrative solution story. It is a composite built from situations we commonly see in this industry, not an account of a single named customer. Figures shown as [X] are placeholders to be replaced with verified results.

A corrugated box maker with many small orders found that some customers were unprofitable but could not prove which.

This story shows how job-level data changed decisions.

The situation

Costing used average rates per box type. Corrugator schedules were planned manually. Setup times on printers were not recorded.

What they had already tried

  • Price increases across the board.
  • Manual trim calculations.
  • More shifts on the printer.

How we diagnosed the real problem

We captured job-level data for a month.

  • Small runs with complex prints were heavily under-costed.
  • Trim waste varied with deckle planning.
  • Setups consumed a large share of printer time.

The solution, product by product

No single product solved this. The value came from the products working on the same data.

ProductRole in this solution
ASTR ProductionJob specs, board planning and deckle optimisation, actual cost per job
Machine Digital TwinCorrugator and printer run, setup and stop times
AnvayaPaper reels, stock, purchase, dispatch, invoicing
ASTR ReportingMargin by customer, job size and print complexity

How it rolled out

  • Job-level capture.
  • Board planning.
  • Machine monitoring.
  • Margin reviews with sales.

What changed

Pricing became job-specific and capacity was recovered from setups.

  • Trim waste reduced by [X]%.
  • Printer setup time reduced by [X]%.
  • Unprofitable customer segments identified and repriced.
In practice: Average costing was subsidising the most complex jobs with the simplest ones.

What we would tell a similar company

  • Cost every job individually.
  • Plan board across orders.
  • Measure setups.
  • Share margin data with sales.

Frequently asked questions

Can it optimise deckle?

Board planning groups orders to reduce trim.

Do we need machine sensors?

Run and stop signals improve accuracy; manual capture is a start.

Is this a real customer?

It is an illustrative composite.

  • #packaging manufacturing software case study
  • #corrugated box costing
  • #packaging job costing
  • #corrugator OEE
  • #box plant ERP

Trikaan Research & Engineering

Trikaan

Written by the researchers and engineers who build Anvaya, ASTR and Seed Track, with input from Trikaan's delivery and engineering teams.

ON THIS PAGE

  • The situation
  • What they had already tried
  • How we diagnosed the real problem
  • The solution, product by product
  • How it rolled out
  • What changed
  • What we would tell a similar company
  • FAQ

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