Facility Layout Simulation With Causal Analysis of Optimal Changes

The patent segments the layout comparison by identifying and highlighting specific characteristic portions (such as hub facilities and bottleneck factors) between the current and optimal layouts. This segmentation allows users to understand the causal relations by focusing on key differentiating elements rather than overwhelming data, thus resolving the contradiction between achieving optimization and maintaining understandability.

The patent introduces an intermediary analysis layer that processes the numerical simulation results and presents them in a comprehensible format. This intermediary layer identifies characteristic portions and generates explanatory information about causal relations, acting as a bridge between the complex simulation data and user understanding, thereby preserving causal relation information while maintaining optimization accuracy.

The patent enables partial implementation by segmenting the optimal layout into characteristic portions that can be independently identified and implemented. Users can selectively adopt specific improvements (such as repositioning hub facilities or addressing bottleneck factors) without requiring complete layout restructuring, thus making implementation easier while still achieving productivity gains.

The patent supports partial action by allowing users to implement only the characteristic portions of the optimal layout that are most relevant or feasible. This partial implementation approach, guided by the causal relation analysis, enables productivity improvement without requiring full-scale implementation, thereby increasing ease of manufacture.

The patent extracts only the characteristic portions and key causal relations from the complete layout analysis, presenting them in a simplified format. By taking out and highlighting the most relevant information (such as hub facilities, bottleneck factors, and significant differences), the system maintains information completeness for analysis purposes while improving user understanding through selective presentation.

The patent applies local quality by providing detailed analysis information specifically at the characteristic portions where causal relations are most significant, rather than uniformly across the entire layout. This localized detailed information, combined with overall summary information, maintains completeness where needed while improving ease of operation by reducing unnecessary detail in less critical areas.