Production Process Lot Analysis Across Automated and Manual States
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Solution Overview
Problem
Existing production process analysis methods are inadequate for identifying factors causing quality variations in products or services that involve both automated machinery and manual operator steps, leading to incomplete optimization of the entire production process.
Innovation Solution
A method that classifies production process lots into groups based on data related to the process, identifies a factor representing the feature of each group, and adjusts classifications to determine shared or non-shared good lots across states, allowing for comprehensive improvement of the production process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only the manufacturing step by manufacturing equipment is optimized using existing analysis methods, then the automated manufacturing process is improved, but the entire production process including manual operation steps is not improved
Solution Approach 1:
The production process is segmented into multiple states (manufacturing state, operation state, distribution state) corresponding to different stages. The analysis method performs separate classification and analysis for each state, then integrates the results to identify factors affecting the entire production process, thereby achieving comprehensive optimization while maintaining efficiency in each segment.
2Difficulty of detecting and measuring
If production process data is analyzed without considering multiple states separately, then analysis complexity is reduced, but the ability to identify factors causing quality variation in complicated production processes is insufficient
Solution Approach 1:
The analysis method introduces a new dimension by classifying lots into groups separately for each state (manufacturing, operation, distribution) rather than performing a single unified classification. This multi-dimensional approach enables precise identification of factors affecting quality variation in each state while maintaining manageable analysis complexity through systematic processing.
3Adaptability or versatility
If the production process includes both automated machinery steps and manual operator steps, then product variety and service capability are enhanced, but quality variation occurs due to differences in operation status between equipment and operators
Solution Approach 1:
The analysis method creates a universal framework that handles both automated machinery operations and manual operator operations through a unified multi-state classification approach. By determining relative merit of groups for each state and identifying shared good lots across states, the method achieves quality stability while preserving the flexibility and adaptability of mixed automated-manual production processes.
Data Source
AI summary
A production process analysis method for stabilizing the quality of the products or services. A production process analysis method includes: a step for identifying a good lot included in a group determined to be the most excellent with respect to each of a plurality of states constituting a production process; a step for classifying, in the case where at least one good lot is not shared among the plurality of states, the plurality of states into an arbitrarily selected selection state and other non-selection states, and determining again a highest-ranking group in the non-selection state that includes the good lot in the selection state as the most excellent group; and a step for identifying factors that characterize the group determined as the most excellent.