3 Key Problems Solved by Little Antelope APS

——Beyond the Fog: Using IT to Solve Real-World Problems——

Auto Scheduling
How to automatically match each process with the right machine?
While some say this requires manual planning based on order specifics and equipment status, successful cases prove 95% of such matching can be automated — with reliable results.
Matching Rules
Every prerequisite affecting scheduling—such as material readiness, document approval, special ink mixing, and mold preparation—must be displayed clearly. Matching personnel and processes must be in place, or chaos will follow.
Delivery Estimate
The core outcome of APS is simulated pre-scheduling—a resource-matching algorithm that calculates delivery dates for all orders, bringing automated planning 95% closer to reality. Any claim of instant delivery dates upon order entry is not scientifically grounded.

Plan Optimization with Antelope APS

If your planning is chaotic, consistently failing to meet customer delivery deadlines, and your planners are overwhelmed ...

Optimization Plan

Features of the Little Antelope APS

Production Scheduling: Hear What They Say

——With the support of digital workshop, auto scheduling can truly approach its limit——

Beijing Jinbaolian GM - Wang Zhongcai
Wuhan Xinhongye GM - Zhang Feng
Zhejiang Yamingwei GM - Sun Qingsong

Get Detailed Optimization Plan

——Take the leap.——