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Methods for determining the optimal number of simultaneous contributors for multi-user CAD parts
- Source :
- Computer-Aided Design and Applications. 14:610-621
- Publication Year :
- 2017
- Publisher :
- CAD Solutions, LLC, 2017.
-
Abstract
- The development of multi-user CAD (MUCAD) tools has opened up exciting new opportunities and applications. The capability for multiple users to simultaneously model and design a CAD part has far-reaching potential. However, many basic questions remains unanswered, such as how many users should work together on a given part. This research proposes and develops a set of methods to determine the optimal number of users for a given part within a MUCAD environment, based on the characteristics of the part itself. Two candidate models are evaluated with a set of 60 experiments with design teams composed of different numbers of users. The models show modest correlations with the test data while more-refined models are explored to improve predictive power. On the other hand, highly significant correlations between the ability to predict completion time and multi-user team size were identified in the experimental data. Observations regarding the speed and quality of MUCAD teams are also made with future ar...
- Subjects :
- 0209 industrial biotechnology
Engineering
Engineering drawing
media_common.quotation_subject
0211 other engineering and technologies
Computational Mechanics
CAD
02 engineering and technology
Machine learning
computer.software_genre
Multi-user
Set (abstract data type)
020901 industrial engineering & automation
Quality (business)
021106 design practice & management
media_common
Concurrent engineering
business.industry
Experimental data
Computer Graphics and Computer-Aided Design
Computational Mathematics
Predictive power
Artificial intelligence
business
computer
Test data
Subjects
Details
- ISSN :
- 16864360
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Computer-Aided Design and Applications
- Accession number :
- edsair.doi...........dc3dd14e6da06c168b589b9a95bddc34
- Full Text :
- https://doi.org/10.1080/16864360.2016.1273578