Adapt to the personalized and complex process characteristics of the equipment manufacturing industry, with intelligent algorithms to meet various scheduling scenarios
Optimize bottleneck production capacity and overall resource efficiency in response to the unique nature of production equipment in the equipment manufacturing industry
Balancing production planning and workshop scheduling at different levels of decision-making, multi-level planning scheduling, and direct production planning to the process
Panoramic resource and demand analysis, balanced control of planning and demand, intuitive visualization
Configure heterogeneous system integration universal interface, intelligent backend service automatic execution, solve data exchange barriers
Connecting upper level planning and lower level control, bridging data gaps, from data ownership to data application, transforming data into executable production decisions
Improve production on site management capabilities through visual management
Realize optimal management and improve material utilization efficiency through production material tracking
Realize real-time performance statistics and strengthen various production related assessments
Strengthening process quality control, automatic association and determination of quality informartion
Strengthen process quality warning, monitor production parameters and process deviations, effectively avoid the spread of quality problems
Strengthen the ability of quality traceability and conduct full-process quality traceability quickly and accurately
Improve quality management methods and further strengthen quality management
Equipment networking and group control to improve equipment efficiency: automatic command issuance, real-time status monitoring, process error prevention control, quality trend warning, intelligent fault diagnosis
Rapid response to equipment abnormalities, reducing production downtime and waiting times
Improve the pertinence of equipment maintenance and reduce maintenance and repair costs
Improve equipment energy management level and reduce production energy consumption