Performance of raw materials suppliers affects the productivity of firms. Performance is the primary information for management decisions in managing a cooperative relationship to a supplier. So the term evaluation is needed to monitor the performance of suppliers. Commonly, evaluation conducted with limitation so that the result could not satisfy improvement targets. This study attempts to propose a supplier performance evaluation using the method of Data Envelopment Analysis (DEA) which is a relative efficiency measurement method based on linear programming. Supplier evaluation results then enhanced by ranking the suppliers using the Super Efficiency DEA model. This model can determine the ranking of suppliers even if the BCC model consider it as efficient. Supplier ranking aims to determine the most ideal supplier of the overall supplier as a benchmark for future evaluation assessment. As a result, four out of sixsuppliers are considered as efficient. Moreover, by applying the Super Efficiency DEA, rank orders of the suppliers are found as well.
|Publication status||Published - 2017|
|Event||The 15th International Conference on Quality in Research (QiR 2017) - ID, Bali, Indonesia|
Duration: 1 Jan 2018 → …
|Conference||The 15th International Conference on Quality in Research (QiR 2017)|
|Period||1/01/18 → …|
- Data Envelopment Analysis; model of Banker, Charnes, Cooper; supplier evaluation; Super Efficiency DEA.