Feasibility Analysis for Electronic Assemblies
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Solution Overview
Problem
Designers of electronic assemblies lack tools to estimate the feasibility of complex electronic systems composed of multiple subassemblies, relying on experience-based methods that are not formalized, leading to unsatisfactory reactivity and reliability in development programs.
Innovation Solution
A computer method that analyzes the feasibility of electronic assemblies by defining a functional architecture, acquiring characteristics, distributing functions over subassemblies, determining subassembly characteristics, and analyzing the assembly using significant parameters from reusable components and databases, allowing for rapid and precise analysis and integration into the development process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If experience-based design methods are used, then design flexibility is maintained, but reliability and reactivity of feasibility analysis deteriorate
Solution Approach 1:
The feasibility analysis is segmented into multiple independent evaluation criteria (functional criteria, technical criteria, economic criteria, scheduling criteria). Each criterion can be evaluated separately using standardized indicators, allowing systematic and reliable analysis without requiring complex integrated models. This segmentation enables designers to assess different aspects of feasibility independently while maintaining overall system perspective.
Solution Approach 2:
The patent transforms qualitative experience-based judgments into quantitative parameter evaluations. By defining specific indicators for each criterion (e.g., functional coverage percentage, technical requirement satisfaction level, cost estimates, timeline adherence), the analysis shifts from subjective experience to objective parameter measurement, improving reliability while maintaining manageable complexity through standardized parameter sets.
2Reliability
If comprehensive feasibility analysis is performed, then reliability of results improves, but time required for analysis increases
Solution Approach 1:
The patent establishes a predefined framework of evaluation criteria and indicators before the actual feasibility analysis begins. The multi-criteria structure, indicator definitions, and evaluation methods are prepared in advance, allowing rapid assessment during the design phase without requiring time-consuming ad-hoc analysis. This preliminary structuring enables comprehensive evaluation to be performed efficiently.
Solution Approach 2:
The patent allows for selective application of the full evaluation framework. Designers can perform a complete multi-criteria analysis when comprehensive assessment is needed, or focus on specific criteria (e.g., only technical or only economic) when time is constrained. This partial action approach maintains reliability when needed while reducing time investment when appropriate, avoiding the requirement to always perform the entire comprehensive analysis.
3Productivity
If formalized analysis methods are implemented, then reactivity to feasibility iterations improves, but ease of operation deteriorates
Solution Approach 1:
The formalized analysis method is divided into distinct, manageable criteria and indicators that can be evaluated independently. This segmentation allows rapid iteration on specific aspects of feasibility (e.g., adjusting technical criteria while keeping economic criteria unchanged) without requiring complete re-analysis. The modular structure enables targeted updates and quick reassessment, improving reactivity while maintaining operational simplicity through focused evaluation.
Solution Approach 2:
The patent creates a universal evaluation framework that can be applied to different electronic assembly projects with varying requirements. The same multi-criteria structure and indicator system serve multiple functions: initial feasibility assessment, iterative design evaluation, and comparison of alternative solutions. This universality allows the formalized method to be reused across projects, improving productivity through consistency while reducing the learning curve and operational complexity.
Data Source
AI summary
The invention concerns a method and devices for analyzing the feasibility of a computer system composed of subsystems, each having functions. After having determined the functional architecture of the computer system comprising at least one subsystem and at least one function, the characteristics of the functions implemented are imported from a database. The user determines the number of subsystems and the number of connectors per subsystem. He then distributes the functions to the subsystems and enters the characteristics of the connectors and the characteristics of the subsystems. The computer system is analyzed in light of the information provided by the user and the characteristics of the functions implemented in order to determine the feasibility of the computer system.