Escalation proposal of supply chain management performance of oil and gas upstream industry in PT. XYZ by using SCOR model approach

Abstract

Oil and gas industry in Indonesia is one of the industries with the largest contribution for country's foreign exchange. As recorded in 2014, 12% of country's budget is from oil and gas industry and able to provide a significant increase in national economic growth. But in the other hand, supply chain performance in this industry shows inconsistencies in each year, especially in PT. XYZ. As one of the largest oil and gas companies in East Kalimantan, Indonesia. As the result, company's targets are missed oftentimes and have not been able to achieve competitive advantage. Therefore, the purpose of this study is to propose performance improvements in the supply chain of PT. XYZ. This study uses the model of Supply Chain Operations Reference (SCOR) 11.0 which focuses on the attributes of reliability, Analytical Hierarchy Process (AHP), and fishbone in collecting and processing research data. The result shows that the supply chain performance of PT. XYZ. which focused on the reliability attribute is categorized as good, starting from 2012 to 2017. There is 1 indicator that need to be improved and get further control, that is the indicator of percentage of supplier meeting environmental metrics/criteria and fill rate. One means to overcome the problem is by using big data analysis approach, because the approach can analyze big number of data in the Company, whether it's structured, semi-structured, or unstructured.