Integrated Primal and Middle performance upgrade kits – Bordertown

Summary

This project addressed the opportunity to increase processor economic benefit by increasing robustness and reliability of three key areas of the lamb Primal and Middle processing system.

The performance history of the JBS Bordertown machine has been reviewed and the integration, vision transfer and Flap to Chine transfer has been upgraded.

The installation and commissioning of the upgrade was achieved with minimal disruption to production by utilising a 1-week process shut down. The machine is in full production at JBS Bordertown.

Objectives

The main objectives of this project were to:

• design and build critical technology upgrade modules for integrated LEAP processing systems based on learning from the Bordertown system
• install and commission the upgrades at JBS Bordertown
• provide a series of upgrades for incorporation into future installations and retrofitting to existing systems
• demonstrate successful upgrades to show system maintaining operation of 10 carcases per minute.

Key findings

• The SCOTT primal and middle machine at Bordertown has processed 7 million carcases and indications are that it is a critical piece of the JBS process with associated significant demands on achieving a very high uptime.
• The identified upgraded modules could be utilised for upgrading other early versions of the SCOTT primal and middle machines.
• There would be minor customisation per machine.
• There is confidence in robustness, reliability, and meeting cycle time of these adapted latest designs.
  
  

Benefits to industry

The opportunity was identified to increase processor economic benefit by increasing robustness and reliability of three keys areas of the lamb Primal and Middle processing system.

The learnings recognized from this increased benefit can be taken away and implemented across the processing sector resulting in large improvements to productivity and profitability.

MLA action

The learnings from this project has been applied to future LEAP models to ensure reliability and accuracy.