Design-Wise Costing Accuracy and Order Prioritization
Manufacturing firms using average cost estimates across all product lines misprice complex designs, overcharging for simple items and underpricing high-defect, labor-intensive products.
Picture this
Imagine a bakery that calculates every cake costs $10 to bake based on monthly average flour and egg costs. They sell plain vanilla sponges and intricate multi-tiered wedding cakes for the same markup. Consequently, they lose money on complex wedding cakes that take ten hours to decorate while getting undercut by competitors on simple vanilla cakes. Once they track exact labor hours and ingredient waste per cake design, they reprice their menu accurately to ensure every product generates profit.
What the evidence says
At baseline, 0% of treatment plants used design-wise efficiency analysis for pricing decisions; implementing design-specific costing enabled plants to identify unprofitable fabric stitching patterns and drop high-defect designs from sales catalogs.
- Who
- 28 manufacturing plants across 17 woven cotton fabric firms near Mumbai, India.
- How
- Randomized field trial introducing design-wise efficiency tracking, customer order prioritization based on delivery deadlines, and order-level profit accounting.
What to do
Track material waste, weaver labor hours, and defect rates at the specific product-design level to base pricing and catalog offerings on actual design cost rather than plant-wide averages.
From the source
"Using design-wise efficiency analysis so pricing can be based on actual (rather than average) production costs."
541 Management in India QJE.pdf