Developing an research and development (R&D) process improvement system to simulate the performance of R&D activities
- Authors
- Lee, Keeeun; Jeong, Yujin; Yoon, Byungun
- Issue Date
- Nov-2017
- Publisher
- ELSEVIER SCIENCE BV
- Keywords
- Decision support system; R&D quality; R&D process model; Simulation; Performance
- Citation
- COMPUTERS IN INDUSTRY, v.92-93, pp 178 - 193
- Pages
- 16
- Indexed
- SCIE
SCOPUS
- Journal Title
- COMPUTERS IN INDUSTRY
- Volume
- 92-93
- Start Page
- 178
- End Page
- 193
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/19536
- DOI
- 10.1016/j.compind.2017.08.001
- ISSN
- 0166-3615
1872-6194
- Abstract
- Because of a shorter R&D cycle time and the increasing complexity of technology development, efficient decision support systems for R&D activities are necessary to facilitate R&D processes. In particular, small and medium enterprises (SMEs) require efficiency of R&D projects due to a lack of R&D budgets and resources. Therefore, this paper aims to develop a system which can assess current levels of R&D processes of companies and improve problematic processes. To this end, the proposed system applies a standard R&D process to evaluate the R&D level of companies, including four types of database and three modules: performance level analysis, comparison analysis, and performance simulation analysis. First, the module of performance level analysis aims to draw strong and weak R&D processes of companies, using three factors: importance, performance goal and current performance on each process. The second module provides the function of comparison analysis that compares the performance level of a company with that of others. Finally, the performance simulation analysis investigates influences of critical processes on R&D outcomes and predicts how much the processes can enhance technical, economic and process outcomes. In particular, a case study is presented to illustrate the application of the proposed system to an IT company. This system can help managers enhance their R&D performance by presenting necessary improvements on critical processes. (C) 2017 Elsevier B.V. All rights reserved.
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Collections - College of Engineering > Department of Industrial and Systems Engineering > 1. Journal Articles

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