Diplomarbeit, 2006
204 Seiten, Note: 1,0
This work aims to develop a comprehensive framework for analyzing and classifying problem solving methods based on performance criteria. The objective is to provide a tool for selecting the most appropriate problem solving method for a given problem, taking into account various performance aspects.
This research focuses on problem solving methods, analysis and classification, performance criteria, matrix development, and validation. The key themes include:
The AC-Matrix is a tool designed to help select the most suitable problem-solving method for a specific technical problem based on defined performance criteria.
The work analyzes methods such as Axiomatic Design, Quality Function Deployment (QFD), Robust Design (Taguchi), TRIZ, Value Engineering, and the Systematic Approach of Pahl and Beitz.
Evaluation is based on two catalogs: one for general method performance and another for problem-specific performance, validated through example problems like car tire development.
Complexity is a central notion, as the character of a problem (including its complexity) determines which methods are most effective for finding a solution.
The concept is intended for use in Research & Development (R&D) departments and innovation consulting to make method selection more objective and goal-oriented.
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