Analysis of failures in order processing in the automotive industry with a new fuzzy method

In make-to-order systems, order processing, in which engineering and design activities are carried out before the production phase, is one of the leading key processes of the companies. The efficiency of this process is very important for the next stages. In this study, a New Integrated Hesitant Fuzzy Integrated Determination of Objective Criteria Weights (IDOCRIW) Based Double Normalization-based Multiple Aggregation (DNMA) Method is proposed to reduce the failures occurring in order processing in which engineering and design activities are carried out of a company operating in the automotive industry. The aim of the study is to rank the departments causing failures that lead to the repetition of engineering and design activities in order processing according to their importance levels. In the proposed method, hesitant fuzzy numbers are used because of reasons such as the criteria have been evaluated by different decision makers and the decision makers have not been clear in their own views. Hesitant Fuzzy IDOCRIW Method is used to obtain the importance weights of the criteria, and the DNMA Method is used to rank the departments leading to failures according to their importance levels. The results obtained with the proposed new integrated method are compared with different methods. The study has two important contributions to the related literature. The first one is the elimination of disordered information in uncertain structured data and the second one is the development of a new method to increase process efficiency.