BatchMaster Manufacturing | Batch Production

Batch Production

Production manages all the mix, blend, fill and assemble processes required to manufacture one’s finished goods, including co-products and by-products, in a make-to-order, make-to-stock and mixed-mode manufacturing environment. Batch jobs are either manually or dynamically created, linked and scheduled. Inventory allocation, equipment scheduling, and QC test and special instructions execution are managed by the production module. Raw material inventory consumption is either manually recorded or automatically back flushed by the system, based upon the finished goods yields and the batch job formulas. From inventory appropriation to finished goods completion, all production and quality related transactions are captured and reported, including actual inventory usage, labor costs, and yields.

Production staff can manually reserve inventory, adjust batch formulas, reassign equipment resources then monitor WIP to ensure that batch jobs meet their targets. Mandated execution of QC tests and special instructions can be performed by the production staff via mobile devices.

Key Features:

  • Dynamically re-adjust batch formulas and packaging bill of materials
  • Link dependent batch jobs together
  • Dynamically size and schedule batch jobs
  • Assign equipment and labor to batch jobs
  • Reserve inventory for specific batch job
  • Prioritize and expedite batch jobs
  • Rework intermediates and finished goods during production
  •  Auto generate lot numbers for intermediates and finished goods
  • Track and trace lot controlled inventory throughout production

What Production can do for You!
Production’s dynamic batch job adjustment, sizing and scheduling capabilities, as well as lot number generation, reduces your time spent on these activities. Together with mobile task execution of inventory movements into and out of production, qc test and special instructions, you can quickly scale up production.

Reduce future losses and streamline your manufacturing operations by analyzing key production statistics, including expected to actual output, expected to actual costs, yields, capacities, and labor efficiencies.