Traditionally, researchers and practitioners measure the performance of green supply chains from the aspects of economy and environment. Nowadays, human capital is given much attention in Corporate Social Resposibility (CSR) but is often not included in the performance measures. This research covers the an application of data envelopment analysis (DEA) slacks-based model to a multinational chemical manufacturer to minimize both input and bad output variables of both the environmental aspect, covering energy consumption, water intake, carbon dioxide(CO2), voltile organic compound(VOC), solid waste), and the social aspect covering employees' working hours and total recordable (injury and illness) rate. The model also maximizes the good output, finished good products, to satisfy customers and other stakeholders. This technique results in a more holistic result and decision making model for benchmarking the performance of multiple manufacturing sites in a multinational company in Asia.