Forecasting the Production Abilities of Recycling Systems: A DEA Based Research | Zendy

Feng Yang | Zendy; Fei Du | Zendy; Liang Liang | Zendy; Zheng Yang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Forecasting the Production Abilities of Recycling Systems: A DEA Based Research

Author(s) -

Feng Yang,

Fei Du,

Liang Liang,

Zheng Yang

Publication year - 2014

Publication title -

journal of applied mathematics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.307

H-Index - 43

eISSN - 1687-0042

pISSN - 1110-757X

DOI - 10.1155/2014/961468

Subject(s) - data envelopment analysis , reuse , production (economics) , computer science , operations research , environmental economics , engineering , mathematical optimization , waste management , mathematics , economics , macroeconomics

Network production systems are widely observed in the current real life, and the performance management of network production systems has been widely studied. The previous literatures have contributed to the performance evaluation to parallel, serial, and converging systems. However, few literatures have considered the recycling systems. The current paper proposes a method on how to forecast the actual and frontier production abilities of recycling systems. Based on the forecasting results, the paper uses a DEA (data envelopment analysis) based method to appraise the operational efficiency of recycling systems. We choose the water utilization and recycling system as a background for our research. According to the proposed method, Chinese provincial water utilization and recycling systems are examined and analyzed. The results show that the reuse level of water in China is still very low

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research