Research and Development Strategies in the Domestic Automotive Industry using Fuzzy Multi-Criteria Decision Making

The process of research and development in business identifies the needs or capacities in each business. In this process, other issues such as generating ideas, examining opinions and hypotheses, designing, producing, introducing and publishing a product, serving and performing a new way of producing or creatively presenting a product in a simple and easy way are dealt with. Most of the businesses, whether small or big, their units and different departments need to carry out the research and development process. Businesses use it for their progress. The present study aims to identify effective strategies on research and development in the domestic automotive industry and to study the implementation processes of domestic research and development based on their priority.

In this study, in order to measure and evaluate the status of effective factors; First, the effective strategies in the management of research and development in the automotive industry are identified, then the weighting coefficients related to the identified indicators are determined and prioritized using the fuzzy best-worst decision-making method (FBWM) using the triangular fuzzy gray relationship analysis method with interval values.

The results of the research showed that, three factors of business strategy, support policies and investment attraction with a weighted combination of 0.375 are effective on the formation of the current situation. According to, choosing a joint research and development strategy is a suitable option that will organize the costs of this field.

In order to grow and gain a competitive advantage, the domestic automotive industry must interact with successful companies in the world's automotive industry, and develop joint venture processes in the field of research and development by obtaining the support of managers and politicians in this industry.