Testing Scheduling System Optimizing Work Station Selection
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Solution Overview
Problem
Current testing scheduling systems for work stations do not consider critical factors like failure rates, pass-after-initial-failure rates, backlog status, and distances between stations, leading to inefficient product testing.
Innovation Solution
A testing scheduling system that calculates weighted values for each work station based on failure rates, backlog quantities, test-awaited quantities, and distances, determining a preferred work station and optimizing the testing path using modules for calculation, processing, determining, and output, with optional inclusion of generating a testing time and applying Dijkstra or Floyd arithmetic for shortest paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If work stations are selected arbitrarily based on operator experience, then the selection process is simple and quick, but testing efficiency and productivity deteriorate due to ignoring critical factors like failure rates and backlog status
Solution Approach 1:
The scheduling system automatically calculates weighted values and determines optimal work station selections without requiring operator intervention or experience-based judgment. The system serves itself by using algorithms to process failure rates, backlog quantities, and distances, eliminating the need for human experts while improving testing efficiency.
Solution Approach 2:
The patent transforms the scheduling decision-making process from qualitative (operator experience) to quantitative (weighted value calculations). By changing parameters such as failure rate, backlog quantity, and distance into calculable metrics with assigned weights, the system objectively determines optimal work stations, resolving the contradiction between simplicity and efficiency.
2Productivity
If work stations are selected without considering failure rates and backlog status, then the scheduling process is simple, but testing efficiency and resource allocation deteriorate
Solution Approach 1:
The system continuously monitors and incorporates feedback from multiple parameters including failure rates, backlog quantities, and distances between work stations. This feedback mechanism allows the system to dynamically adjust weighted values and select optimal work stations, improving testing efficiency while maintaining operational simplicity through automated calculations.
Solution Approach 2:
The patent replaces the mechanical/manual process of operator-based selection with an automated computational system. By substituting human judgment with algorithmic calculations that process failure rates, backlog status, and spatial distances, the system achieves both improved efficiency and maintained operational simplicity through automated decision-making.
3Productivity
If multiple factors such as failure rate, backlog quantity, and distance are considered, then testing efficiency improves, but the calculation and processing complexity increases
Solution Approach 1:
The patent segments the complex scheduling problem into distinct calculable components: failure rate analysis, backlog quantity assessment, distance calculation, and weighted value synthesis. By dividing the overall decision-making process into these manageable segments, the system can process multiple factors systematically without overwhelming complexity, thereby improving testing efficiency through structured multi-criteria evaluation.
Data Source
AI summary
A testing scheduling system for optimizing and scheduling a testing path among a plurality of available work station calculates a distance between work stations according to the coordinates of the of the available work stations, assigns a value to a quantity, and applies this to the failure rate of each work station, the backlog quantities of each work station, the test-awaited quantities, and the distances between each available work station to acquire a failure rate value, a backlog quantities value, a test-awaited quantities value, and a distances value. The testing scheduling system further calculates a first weighted value of each available work station by summing the failure rate value, the backlog quantities value, the test-awaited quantities value, and the distances value of each available work station, and analyzes the first weighted values to determine a preferred work station.