Intelligent Production Scheduling Optimization for a Food Manufacturing Plant

Project Pain Points

• •Manual scheduling is time-consuming and often requires overtime.
• •Frequent urgent orders make production scheduling difficult to adjust.
• •Unbalanced device load; some devices are idle.

Implementation Plan

Deploy an AI-powered production scheduling system that automatically optimizes schedules using historical data and real-time orders, with visualized results.

Quantified Achievements

• ★Production scheduling efficiency increased by 80%, reducing time from 4 hours to 30 minutes.
• ★On-time order delivery rate increased from 85% to 95%.
• ★Device utilization increased by 25%
• ★Production scheduling staff reduced from 3 to 1.

Real Photos