Abstract
In this paper, a developed model for the justification of alternative manufacturing technologies is presented. The approach, based on fuzzy decision trees, provides a methodology capable of identifying patterns within a technology case repository to support the evaluation of manufacturing systems. Experts are highly influential individuals in the decision process; they provide support and guidance when selecting investments. The experience-oriented task is founded on previous cases or an experts experience, and therefore difficult to express in a rational form. The concept is based on a number of characteristics of the case-based reasoning, rule induction and expert system theory. Structured around the fuzzy-decision-tree data-mining technique, the framework provides the ability of using regulated case information to act as structured experience for assisting in the decision process. Fuzzy induction extracts formal rules from a set of experience data, and the expert system philosophy computes the experience base of human expertise for problem-solving. A test case indicates the stability of the classification algorithm and verifies the applicability within the domain.
| Original language | English |
|---|---|
| Pages (from-to) | 6945-6962 |
| Number of pages | 18 |
| Journal | International Journal of Production Research |
| Volume | 50 |
| Issue number | 23 |
| DOIs | |
| Publication status | Published - 1 Dec 2012 |
Keywords
- aerospace manufacturing
- data mining
- decision-making
- fuzzy decision trees
- manufacturing technology selection
ASJC Scopus subject areas
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering