Display Manufacturing Transport Line Control for Congestion Prevention
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Solution Overview
Problem
The manufacturing of display devices faces inefficiencies due to uncontrolled operation rates of transport units, leading to suboptimal performance and potential congestion in transport lines, which affects the overall production efficiency.
Innovation Solution
An apparatus and method that utilize a controller to simulate and adjust transport line distribution models, ensuring operation rates of transport units are within a designated range by dynamically modifying the distribution models based on real-time data and variables such as operation plans, processing speeds, and unexpected events, thereby optimizing the distribution of transport units between processing lines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transport units are increased to handle higher production volume, then productivity increases, but operation rates become uncontrolled leading to congestion and reduced efficiency
Solution Approach 1:
The system dynamically adjusts the distribution of transport units among processing lines based on real-time operation rates. The controller continuously monitors operation rates and redistributes transport units from lines with low operation rates to lines with high operation rates, making the system adaptive rather than static. This resolves the contradiction by enabling productivity scaling without losing operational control.
Solution Approach 2:
The controller implements a feedback mechanism that monitors operation rates of transport units and uses this information to adjust the distribution model. The simulation unit calculates optimal distribution based on feedback from actual operation rates, ensuring that productivity increases do not lead to uncontrolled operation rates or congestion.
2Ease of operation
If transport units are distributed uniformly across processing lines, then ease of operation is maintained, but productivity is reduced due to congestion on high-demand lines
Solution Approach 1:
The system applies local quality by distributing transport units non-uniformly based on the specific needs of each processing line. Instead of uniform distribution, the controller allocates more transport units to processing lines with higher operation rates or greater demand, optimizing local efficiency at each line while maintaining overall system productivity.
Solution Approach 2:
The system changes the distribution parameter from uniform to variable based on operation rates. The simulation unit calculates optimal distribution ratios that adjust the number of transport units assigned to each processing line according to real-time parameters, thereby improving productivity without sacrificing operational control.
3Productivity
If the number of transport units is increased to prevent congestion, then productivity improves, but device complexity and cost increase
Solution Approach 1:
Rather than increasing the total number of transport units statically, the system dynamically redistributes existing units based on real-time needs. The simulation unit calculates optimal distribution that maximizes throughput without requiring additional hardware, thereby improving productivity without increasing device complexity or cost.
Solution Approach 2:
The system enables transport units to effectively serve themselves through automated redistribution. The controller automatically monitors operation rates and reallocates transport units to where they are most needed, eliminating the need for manual intervention or additional units to maintain optimal productivity.
Data Source
AI summary
In an apparatus for manufacturing a display device, the apparatus includes: a plurality of processing lines comprising a plurality of processing units; a transport line between the plurality of processing lines, the transport line comprising a plurality of transport units configured to move along a transport path to take in or take out transport goods to or from the plurality of processing units; and a controller configured to control the plurality of transport units, wherein the controller comprises a transport line simulator configured to simulate a transport line distribution model for distributing the plurality of transport units, by calculating a number of the plurality of transport units arranged on the transport path, such that operation rates of the plurality of transport units are within a designated range.