Developing an research and development (R&D) process improvement system to simulate the performance of R&D activities

Keeeun Lee, Yujin Jeong, Byungun Yoon

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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.

Original languageEnglish
Pages (from-to)178-193
Number of pages16
JournalComputers in Industry
Volume92-93
DOIs
StatePublished - Nov 2017

Keywords

  • Decision support system
  • Performance
  • R&D process model
  • R&D quality
  • Simulation

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