TY - GEN
T1 - Performance evaluation of green supply Chains
T2 - 2014 5th International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2014
AU - Leu, Jun Der
AU - Fan, Mei Niang
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/4
Y1 - 2014/12/4
N2 - 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.
AB - 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.
KW - Data Envelopment Analysis (DEA)
KW - Green Supply Chains
KW - Slacks-based Mode
UR - http://www.scopus.com/inward/record.url?scp=84919775872&partnerID=8YFLogxK
U2 - 10.1109/ISDEA.2014.162
DO - 10.1109/ISDEA.2014.162
M3 - 會議論文篇章
AN - SCOPUS:84919775872
T3 - Proceedings - 2014 5th International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2014
SP - 714
EP - 717
BT - Proceedings - 2014 5th International Conference on Intelligent Systems Design and Engineering Applications, ISDEA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 June 2014 through 16 June 2014
ER -
