A Bi-Objective Model of Research and Development in Battery Manufacturing Industry To Improve Customer Satisfaction

Reviewing the efficiency of research and development (r&d) by giving an equal amount of importance to different r&d actions can make the measuring process too simple, which may cause an inaccurate interpretation of the r&d function and lead to an imprecise interpretation of r&d models. r&d comprises the creative work undertaken on a systematic basis to increase the stock of knowledge, including knowledge of man, culture, and society, and the use of this stock of knowledge to devise new applications. this research provides a two-phase approach to designing an r&d model in the auto battery manufacturing industry based on customer satisfaction. due to the important role of r&d in customer satisfaction, no study has been conducted in this field and industry. in the first phase, the effective models for r&d management and the indices influencing customer satisfaction in r&d models are identified. in the second phase, the significance coefficients related to the customer satisfaction indices are obtained by using the fuzzy swara (stepwise weight assessment ratio analysis) as a multi-criteria decision-making method. furthermore, each model’s importance and final priority are calculated by the fuzzy copras (complex proportional assessment) method. finally, to apply the proposed framework in the battery manufacturing industry, a bi-objective r&d model is presented. the coefficients obtained by the fuzzy copras method are utilized as the input for the proposed model. therefore, policy-makers and managers can perform their activities based on this method. the obtained results showed that the proposed framework is effective in the case under study.