Forecasting the Production Abilities of Recycling Systems : A DEA Based Research
Joint Authors
Du, Fei
Yang, Feng
Liang, Liang
Yang, Zheng
Source
Journal of Applied Mathematics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-18
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yang, Feng& Du, Fei& Liang, Liang& Yang, Zheng. 2014. Forecasting the Production Abilities of Recycling Systems : A DEA Based Research. Journal of Applied Mathematics،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-511684
Modern Language Association (MLA)
Yang, Feng…[et al.]. Forecasting the Production Abilities of Recycling Systems : A DEA Based Research. Journal of Applied Mathematics No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-511684
American Medical Association (AMA)
Yang, Feng& Du, Fei& Liang, Liang& Yang, Zheng. Forecasting the Production Abilities of Recycling Systems : A DEA Based Research. Journal of Applied Mathematics. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-511684
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-511684