Display Panel Production Scheduling With Nonlinear Load Balancing
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Solution Overview
Problem
Conventional manual production planning methods in factories are time-consuming and inefficient, requiring 12 hours to arrange production plans based on experience, device capacity, cycle time, and tact time, which hampers production capacity.
Innovation Solution
A production programming system based on a nonlinear program model that includes a distributed storage device and an analysis device, which acquires production record information, constructs a nonlinear program model with constraint conditions and an objective function for pressure equilibrium, and solves for multiple feasible production programs across device sets within a preset time period.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual analysis and production arrangement methods are used, then production plans can be created based on experience and device capacity, but the process is very time-consuming (taking about 12 hours) and reduces production capacity
Solution Approach 1:
The patent replaces the manual mechanical analysis system with an automated computer-based system that uses data processing algorithms to construct and solve production optimization models, transforming the production arrangement process from manual chart-making to automated computational optimization
Solution Approach 2:
The patent changes the approach from qualitative experience-based planning to quantitative model-based planning by introducing mathematical parameters (device capacity, cycle time, tact time) and using optimization algorithms to determine optimal production quantities and schedules
2Ease of operation
If experience-based production arrangement is used, then production plans can be created using available device capacity and time parameters, but the method lacks systematic optimization and reduces overall productivity
Solution Approach 1:
The system enables self-service automated production planning where the computer automatically acquires production data, constructs optimization models, solves for optimal production quantities, and generates production programs without requiring manual intervention or expert experience
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously acquires production record information from factory devices, uses this data to construct and refine optimization models, and adjusts production programs based on solved results to improve overall productivity
Data Source
AI summary
The present disclosure provides a production programming system based on a nonlinear program model, including: a distributed storage device and an analysis device, wherein the analysis device includes a processor configured to obtain production record information; construct the nonlinear program model based on the production record information; and solve the nonlinear program model to obtain first feasible solutions. The nonlinear program model includes a constraint condition that satisfies process requirements and an objective function indicating pressure equilibrium across the same device set, and each of the first feasible solutions is configured to indicate a production program. The present disclosure further provides a production programming method and a computer-readable storage medium which can improve efficiency and reduce device idleness rate.