Providing a combined methodology for selection and performance evaluation of logistics service suppliers in automotive industry (case study:Sapco Company)

Today, the automotive companies need to develop and improve with profitiability a logistics services. In this study, a new methodology is introduced and proposed for increasing the logistics services supplier selection and evaluation quality. The new approach considers both qualitativeand quantitative variable in evaluating performance for selection of logistics suppliersbased on efficiency and effectiveness in one of the biggest car manufacturing factory in IRAN. This newmethodology is realized in two steps. In the first stage, qualitative performance evaluation isperformed by using fuzzy AHP( Analytical Hierarchical Process) in finding criteria weightsand then fuzzy Topsis(Technique for order preference by Similarity to Ideal Solution)is utilized in finding the ranking of suppliers. So,qualitative variable are transformed into a quantitativevariable for using in DEA( Data Envelopment Analysis) methodology as an autput called quality manageme audit. In the second stage, Dea is formed with one dummy input and four variable,namely quality management system audit, warranty cost ratio, defect ratio, quality management.As a result, comparing with the present system applied by the car factory, the new method seem to be some advantages and superiorities for making the dicision a selection the suitable logistics suppliers in an automotive factory of IRAN

Keywords:

Performance evaluation , Logistics supplier selection , fuzzy AHP (Analytical Hierarchical Process) , Fuzzy Topsis , DEA( Data Envelopment Analysis)