ALGORITHM AND MODEL FOR KNOWLEDGE CAPITALIZATION IN AUTOMOTIVE RESEARCH AND DEVELOPMENT OFFSHORE BRANCHES

In the Research and Development (R&D) offshore branches, employees with different levels of expertise and knowledge can be found in the newly created teams. The orders coming from the headquarters are usually assigned to the team members without such criteria like complexity of the order, or the expertise of the employee required for that order, the orders being assigned based on their priority, to the employees available at that moment. The results can be, in many cases, exceeded deadlines, low quality of the software products, a high rework rate and a high pressure on employees. In our attempt to solving this problem, we propose an algorithm for orders allocation based on the order’s priority, complexity and employee’s availability and expertise. The algorithm was tested in a real-life scenario and results are also presented in this paper.