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Steel & Metals Fabrication Production Control: Heat Code Traceability & 2D Plate Nesting

Connecting CNC laser and plasma plate nesting software to Odoo MRP to maximize yield and link Mill Test Certificates.
Steel & Metals Fabrication Production Control: Heat Code Traceability & 2D Plate Nesting
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September 5, 2026 by
Steel & Metals Fabrication Production Control: Heat Code Traceability & 2D Plate Nesting
STEEL & HEAVY FABRICATION MRP

Structural Steel, Pressure Vessels & Heavy Boilers

ARCH-MRP-018
OPERATIONAL CAPACITY 1,800 Metric Tons / Month Steel Processing
INDUSTRIAL HUB Hazira & Bhavnagar Industrial Belts, Gujarat
CORE ARCHITECTURE Odoo 19 MRP + Barcode IoT
PROVEN OUTCOME Remnant Scrap Utilization Increased by 18.2%

Executive Takeaways & Quantified Metrics

  • Full Heat Code Pedigree: Tracks steel plate, pipe, and beam chemistry (Carbon, Manganese, Sulphur) from primary mills (Tata/JSW) through to cut parts.
  • Mill Test Certificate (MTC) Linking: 1-click generation of audited customer quality dossiers containing physical and chemical testing results.
  • Remnant Plate Inventory Tracking: Cut plate leftovers larger than 500x500mm are automatically created as inventory items in Odoo for reuse in future nesting jobs.
  • Massive Scrap Savings: Slashes expensive plate remnant wastage and eliminates raw material rejection during third-party inspection (TPI) audits.

1. The High Cost of Lost Traceability in Heavy Metal Fabrication

In heavy structural steel and pressure vessel fabrication across Hazira and Ahmedabad, steel is not generic. Engineers must prove that a flange welded onto a high-pressure reactor was cut from a specific steel plate with an audited Mill Test Certificate (MTC) proving ASTM A516 Grade 70 compliance.

When heat numbers are lost or mixed up during laser cutting, third-party inspection agencies (e.g. Lloyds, TUV, Bureau Veritas) reject the entire welded vessel. Furthermore, cut sheet metal skeletons are frequently dumped into scrap piles because legacy systems cannot track irregular remnant geometries, throwing away high-grade alloy steel worth ₹75,000/ton.

2. 2D Nesting Integration and Offcut Remnant Geometry

The Odoo fabrication engine interfaces directly with nesting software (e.g. SigmaNEST, Lantek):

  1. Nesting software generates cutting plans across parent plates (e.g. 2500mm x 6000mm x 20mm).
  2. Gross steel weight is allocated across nested part lines based on bounding perimeter geometry.
  3. Uncut remnant geometries larger than configured thresholds are registered in Odoo as Steel Plate Remnant [Heat #] [L x W x T].

3. Production Odoo 19 Python ORM Steel Traceability Blueprint

Below is the Odoo ORM model managing heat code attributes and automated remnant creation:

# -*- coding: utf-8 -*-
from odoo import models, fields, api, _

class StockLotSteel(models.Model):
    _inherit = 'stock.lot'

    heat_number = fields.Char(string="Steel Mill Heat Code", required=True, index=True)
    carbon_percentage = fields.Float(string="Carbon (C %)", digits=(4, 3))
    yield_strength_mpa = fields.Float(string="Yield Strength (MPa)")
    tensile_strength_mpa = fields.Float(string="Tensile Strength (MPa)")
    mtc_document_id = fields.Many2one('ir.attachment', string="Attached MTC Certificate")
    is_remnant_plate = fields.Boolean(string="Is Cut Remnant", default=False)
    remnant_length_mm = fields.Float(string="Remnant Length (mm)")
    remnant_width_mm = fields.Float(string="Remnant Width (mm)")

class MrpProductionSteel(models.Model):
    _inherit = 'mrp.production'

    def action_register_nesting_remnant(self, parent_lot_id, remnant_l, remnant_w, remnant_weight_kg):
        """
        Creates remnant stock quant in Odoo when sheet metal cutting finishes.
        """
        self.ensure_one()
        parent_lot = self.env['stock.lot'].browse(parent_lot_id)

        remnant_lot = self.env['stock.lot'].create({
            'name': f"{parent_lot.name}-REM",
            'product_id': parent_lot.product_id.id,
            'heat_number': parent_lot.heat_number,
            'carbon_percentage': parent_lot.carbon_percentage,
            'yield_strength_mpa': parent_lot.yield_strength_mpa,
            'tensile_strength_mpa': parent_lot.tensile_strength_mpa,
            'is_remnant_plate': True,
            'remnant_length_mm': remnant_l,
            'remnant_width_mm': remnant_w
        })

        # Put remnant into designated Remnant Rack location
        remnant_loc = self.env['stock.location'].search([('name', '=', 'Remnant Plate Rack')], limit=1)
        if remnant_loc:
            self.env['stock.quant']._update_available_quantity(
                product_id=parent_lot.product_id,
                location_id=remnant_loc,
                quantity=remnant_weight_kg,
                lot_id=remnant_lot
            )
        return remnant_lot.id

4. Third-Party Inspection Dossier Generation

When preparing customer dispatches, Odoo automatically binds material test certificates, ultrasonic testing (UT) logs, and welder qualification records into a single consolidated PDF dossier in under 10 seconds.

5. Implementation & Steel Plant Value Realization

Recovering usable remnants and eliminating inspection delays provides heavy fabricators with an immediate, quantifiable competitive advantage when bidding for large public sector and EPC industrial projects.

LEAD ARCHITECT ADVISORY

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Jay Shah

Senior Solutions Architect & Engineering Lead at Arihant AI

Specializing in enterprise ERP architectures, DPDP statutory compliance, and autonomous AI agents integrated into production workflows.

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