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

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...

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Main Authors: Feng Yang, Fei Du, Liang Liang, Zheng Yang
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/961468
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author Feng Yang
Fei Du
Liang Liang
Zheng Yang
author_facet Feng Yang
Fei Du
Liang Liang
Zheng Yang
author_sort Feng Yang
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 1110-757X
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language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Journal of Applied Mathematics
spelling doaj-art-a55f9d5f6a9e432c8e8e55f2e930d4db2025-02-03T06:42:06ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/961468961468Forecasting the Production Abilities of Recycling Systems: A DEA Based ResearchFeng Yang0Fei Du1Liang Liang2Zheng Yang3School of Management, University of Science and Technology of China, Hefei, Anhui 230026, ChinaSchool of Management, University of Science and Technology of China, Hefei, Anhui 230026, ChinaSchool of Management, University of Science and Technology of China, Hefei, Anhui 230026, ChinaSchool of Management, University of Science and Technology of China, Hefei, Anhui 230026, ChinaNetwork 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.http://dx.doi.org/10.1155/2014/961468
spellingShingle Feng Yang
Fei Du
Liang Liang
Zheng Yang
Forecasting the Production Abilities of Recycling Systems: A DEA Based Research
Journal of Applied Mathematics
title Forecasting the Production Abilities of Recycling Systems: A DEA Based Research
title_full Forecasting the Production Abilities of Recycling Systems: A DEA Based Research
title_fullStr Forecasting the Production Abilities of Recycling Systems: A DEA Based Research
title_full_unstemmed Forecasting the Production Abilities of Recycling Systems: A DEA Based Research
title_short Forecasting the Production Abilities of Recycling Systems: A DEA Based Research
title_sort forecasting the production abilities of recycling systems a dea based research
url http://dx.doi.org/10.1155/2014/961468
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AT feidu forecastingtheproductionabilitiesofrecyclingsystemsadeabasedresearch
AT liangliang forecastingtheproductionabilitiesofrecyclingsystemsadeabasedresearch
AT zhengyang forecastingtheproductionabilitiesofrecyclingsystemsadeabasedresearch