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Efficiency Analysis of Indonesian Coffee Supply Chain Network Using A New DEA Model Approach: Literature Review

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Listed:
  • Nia Rosiana
  • Rita Nurmalina
  • Ratna Winandi
  • Amzul Rifin

Abstract

A position of Indonesia as the world’s biggest producer of robusta coffee has declined. Currently, Vietnam is the main producer of robusta coffee in the world. A decline in Indonesia's position is due to saturation of the Indonesian coffee export destination countries which results in declining demand for export of Indonesian coffee. The quantity of Indonesian robusta coffee supplied to the international market depends on secured supply of domestic raw materials and the efficiency of supply chain network. Efforts to ensure the domestic coffee supply is done through efficiency analysis on each member of the supply chain that forms the supply chain network. Efficiency measurement in supply chain network is performed using the New DEA Model developed by Liang et al. The measurement technique of DEA is gradually the efficiency of the production unit (product flow) of each actor (seller and buyer) on the supply chain. The efficiency level of each actor can determine the efficiency of the supply chain network. This is because of the relationship of input and output between seller and buyer so that the final output of supply chain network will produce. New DEA model is more appropriate to use in supply efficiency mechanism that can be cooperative.

Suggested Citation

  • Nia Rosiana & Rita Nurmalina & Ratna Winandi & Amzul Rifin, 2017. "Efficiency Analysis of Indonesian Coffee Supply Chain Network Using A New DEA Model Approach: Literature Review," Asian Social Science, Canadian Center of Science and Education, vol. 13(9), pages 158-158, September.
    • Handle: RePEc:ibn:assjnl:v:13:y:2017:i:9:p:158
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    References listed on IDEAS

    as
    1. Bustanul Arifin, 2010. "Global Sustainability Regulation and Coffee Supply Chains in Lampung Province, Indonesia," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 7(2), pages 67-89, December.
    2. Negi, Saurav & Anand, Neeraj, 2014. "Supply Chain Efficiency: An Insight from Fruits and Vegetables Sector in India," Journal of Operations and Supply Chain Management (JOSCM), Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo (FGV EAESP), vol. 7(2), December.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Liang Liang & Feng Yang & Wade Cook & Joe Zhu, 2006. "DEA models for supply chain efficiency evaluation," Annals of Operations Research, Springer, vol. 145(1), pages 35-49, July.
    5. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, December.
    6. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, December.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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