Abstract
Computer-aided design (CAD) and computer-aided manufacturing (CAM) play an important role in substantial productivity for manufacturing companies. However, the combined utilization of CAD and CAM systems decreases the performance of softwares. When CAD and CAM systems are handled separately the related processes are executed in a more flexible way. That being the case, the selection of CAD system among available alternatives can be regarded as a critical decision making problem, since it lead s to not only time and cost effective, but also convenient design processes. In this paper, a fuzzy information axiom based decision making approach is proposed to select the CAD system which provides highest level of satisfaction with respect to the characteristics of design processes of companies. The proposed approach is applied to CAD system selection of a real life mould production system.
| Original language | English |
|---|---|
| Title of host publication | Practical Applications of Intelligent Systems |
| Subtitle of host publication | Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011) |
| Editors | Yinglin Wang, Tianrui Li |
| Pages | 381-390 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 2011 |
Publication series
| Name | Advances in Intelligent and Soft Computing |
|---|---|
| Volume | 124 |
| ISSN (Print) | 1867-5662 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Computer Aided Design
- Fuzzy set theory
- Information axiom
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