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Proceedings of CAD'16, 2016, 189-193
Methods for Determining the Optimal Number of Simultaneous Contributors for Multi-user CAD Parts

Brett Stone, John Salmon, Ammon I. Hepworth, Edward Red, Brigham Young University
Matthew Killian, Alex La, Ariana Pedersen, Talmage Jones, Brigham Young University

Abstract. Previous research shows that multiple users simultaneously working on a CAD part in parallel can significantly decrease the time it takes to complete the part. As more users are added, the time to complete the part tends to decrease. However, there is a point at which adding more users no longer decreases the time to completion, and in many cases, increases the design time. Therefore, there is an optimal point at which either increasing or reducing the number of users increases the design time. This point, which is specific for each CAD part, is what we call the optimal number of simultaneous contributors. Although previous research suggests there exists an optimal number of simultaneous contributors for a specific CAD part, no one has attempted to determine what factors influence this number.  Furthermore, no one has yet determined any method to adequately predict this optimal number. In this paper, we present factors related to the part itself that appear to influence the optimal number of simultaneous contributors in a CAD part. We also present two methods to determine or predict this value. These methods use a taxonomy, as well as a dependency tree structure, to classify the part and, in turn, estimate the optimal number of users.

Keywords. Multi-user CAD, Collaborative Design, Concurrent Engineering

DOI: 10.14733/cadconfP.2016.189-193