Manufacturing Environment

Title: Manufacturing Environment

Research Question: How can fuzzy relational modeling be used to analyze and improve cost and affordability in advanced technology manufacturing environments?

Methodology: The researchers used a combination of methods, including fuzzy relational modeling, knowledge elicitation, and psychometric tools like repertory grids (RPGs). They applied these methods to a case study involving the analysis of a Longitudinal Turbine Cover Plate (LPT Cover Plate) from a turbine engine. The goal was to compare the cost drivers and identify dependencies, hierarchies, similarities, and equivalences of the attributes related to the manufacturing process.

Results: The study found that fuzzy relational modeling was effective in analyzing the cost drivers and identifying important relationships between them. The results showed that the LPT Cover Plate could be manufactured more cost-effectively by changing the material used and modifying the manufacturing process. The study also demonstrated that the fuzzy relational modeling approach could be applied to different perspectives and resolution levels, making it a versatile tool for cost and affordability analysis in advanced technology manufacturing environments.

Implications: The research suggests that fuzzy relational modeling can be a valuable tool for analyzing cost and affordability in complex manufacturing environments. By integrating different perspectives and resolution levels, it can help manufacturers identify cost-saving opportunities and improve their overall efficiency. The study also highlights the importance of knowledge elicitation and psychometric tools like RPGs in gathering and analyzing data from human experts.

Link to Article: https://arxiv.org/abs/0310021v1 Authors: arXiv ID: 0310021v1