MES for Agricultural Machinery Production Management

The project aims to digitalize and improve production management at an agricultural machinery manufacturing plant through the implementation and continuous enhancement of a Manufacturing Execution System (MES). Its objectives include real-time monitoring of equipment status and downtime, improved production planning, traceability of parts throughout manufacturing workshops, and better visibility of production progress for management. The project also aims to standardize technological routing and operation data, improve workforce timekeeping and overtime calculation, and ensure consistent transfer of relevant personnel and attendance data to the 1C system. These improvements support greater transparency, data accuracy, and operational control across manufacturing processes.

In October 2026, 359 new machines were added to the mechanical workshop records, and more than 1,700 machine-button events were registered. The parts-traceability function recorded 739 batches of parts across workshops, with 180 transfers of parts to the warehouse. The personnel module processed 157 payment orders and 15 transfers, while 7 employee departures were registered. Turnstile passages exceeded 113,000. Technologists entered more than 1,000 new operations and more than 1,000 technological transitions; over 2,000 parts and 1,800 materials were linked to operations. The system improved visibility of equipment status, production progress, parts movement, and consistency of timekeeping data.

Manufacturing Execution System (MES); 1C system for personnel and timekeeping data exchange; production equipment with machine-button event registration; Excel for equipment data preparation and timesheet exports; production server hosting the implemented system.

The project required coordinated improvements across several interconnected manufacturing processes. Equipment records had to be reconciled with existing system data, with incomplete or incorrect inventory records excluded from import. Downtime calculation was enhanced to interpret intervals between machine-button events against operation standards. Parts traceability required consolidating information across workshops, production stages, and technical quality control. The technological routing functions also needed consistent handling of specifications, operation standards, materials, and production schedules. In parallel, personnel and timekeeping functions were aligned with approved overtime orders, daily hour calculations, Excel timesheets, and data exchange with the 1C system. The changes were deployed on the production server.

The project focuses on the development and enhancement of a Manufacturing Execution System (MES) used at an agricultural machinery manufacturing plant.

The system provides production equipment records, downtime tracking, workshop production plans, and visibility into the status of equipment and manufacturing operations. Equipment data is validated before import, helping prevent records with missing or incorrect inventory numbers from entering the system. Downtime calculation has been improved by comparing intervals between machine-button events with the standard duration of production operations.

The MES supports traceability of parts across workshops, showing production quantities, technical quality control acceptance, pending inspections, and the current stage of each part. Technological routing, operation standards, material links, and production schedules help organize manufacturing activities.

The personnel and timekeeping functions support overtime and rest-day payment calculations based on approved orders. Daily payable hours are aligned across timesheets, employee records, Excel exports, and data transferred to the 1C system. The system also accounts for the production calendar and business trips.

The implemented changes operate on the production server. The system interface and controls remain available during internet connectivity interruptions.

The project is implemented in Uzbekistan at an agricultural machinery manufacturing plant. The solution supports production management and operational processes within the plant.