Seating Layout Optimization Using Contour-Based Attribute Scoring
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Solution Overview
Problem
Existing seating arrangement management systems struggle to account for the varying intensity of attributes at each seat, making it difficult to determine a suitable seating arrangement that satisfies individual staff member requirements and compares different seating configurations effectively.
Innovation Solution
A seating arrangement designing apparatus that uses a data structure of contour lines to store attribute scores and tolerance points, allowing for the calculation of suitability based on positional relationships and staff member attributes, ensuring a predetermined condition is met for the total sum of tolerance points across all staff members.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If attribute scores are stored for each seat position to reflect varying intensity of attributes, then seating arrangement suitability can be accurately evaluated, but the complexity of data structure and calculation increases
Solution Approach 1:
The patent applies local quality by assigning different attribute scores to different seat positions based on their specific characteristics. Each seat position has localized attribute intensities (e.g., temperature, noise, lighting) stored as scores, allowing the system to evaluate seating suitability with precision while managing complexity through structured local data organization rather than global uniform evaluation
Solution Approach 2:
The patent introduces a new dimensional approach by using contour lines to represent attribute score distributions across the seating area. Instead of treating each seat independently, the system maps attribute intensities as continuous spatial fields with contour lines connecting positions of equal attribute scores, enabling visual and computational efficiency in evaluating multiple seats simultaneously
2Adaptability or versatility
If tolerance points are calculated for each staff member based on individual requirements, then personalized seating suitability can be determined, but the calculation workload increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing attribute scores for all seat positions before actual seating arrangement optimization. The system prepares the attribute score data structure in advance, organizing spatial attribute information so that when staff members are assigned to seats, the suitability evaluation can quickly reference pre-computed scores rather than calculating from scratch
Solution Approach 2:
The patent uses equipotentiality through contour lines that connect seat positions with equal attribute scores. This allows the system to efficiently evaluate multiple seats with similar characteristics by treating them as equipotential regions, reducing redundant calculations when assigning staff members with specific tolerance requirements
3Loss of information
If contour lines are used to store attribute score distributions, then attribute intensity variation across seating areas can be visually represented, but the data structure becomes more complex
Solution Approach 1:
The patent transforms attribute score data from discrete seat-by-seat values into continuous spatial fields represented by contour lines. This dimensional transformation allows the system to capture attribute intensity variations across the entire seating area while providing visual interpretability, as contour lines naturally represent gradients and distributions in two-dimensional space
Solution Approach 2:
The contour line data structure serves multiple functions simultaneously: it stores attribute score information, visualizes intensity distributions, enables spatial queries about attribute variations, and supports optimization calculations. This multi-functionality reduces the need for separate data structures for different purposes, managing complexity through unified representation
4Reliability
If the system evaluates all possible seating arrangements to find the optimal configuration, then seating suitability is maximized, but the computation time increases significantly
Solution Approach 1:
The patent replaces exhaustive mechanical enumeration of all seating arrangements with a field-based evaluation system using attribute scores and contour lines. Instead of systematically testing each possible arrangement, the system uses the pre-computed attribute score fields to directly evaluate and compare arrangements, significantly reducing computation time while maintaining optimization reliability through the mathematical properties of the score fields
Data Source
AI summary
A seating arrangement designing apparatus includes: a seating arrangement condition table that stores an attribute score indicating intensity of an attribute different for each position regarding a seating arrangement condition, in a data structure of contour lines; a staff condition table that stores tolerance in terms of the attribute of each of staff members; a point calculation unit that calculates a tolerance point indicating a degree of suitability of a certain seat arranged for any of the staff members, based on the attribute score and the tolerance, in a case of planning the seat to be arranged for the staff member; and a seating arrangement determination unit that determines seating arrangement, such that a total sum of the tolerance points for all the staff members satisfies a predetermined condition.