Evaluating the Efficiency of Sugarcane Harvesting Units Using a Combined Approach to Data Envelopment Analysis and Data Mining

Every organization needs an evaluation system in order to be aware of the level of performance and desirability of its units. It is more important for agricultural companies, including agro-industries. In this study, 20 sugarcane harvesting units were selected. After modeling based on input-oriented...

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Autor principal:	N Monjezi
Formato:	article
Lenguaje:	EN FA
Publicado:	Ferdowsi University of Mashhad 2022
Materias:	cart dea harvest sugarcane Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/ece8e5705ad04393a875f764809a6a42
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spelling	oai:doaj.org-article:ece8e5705ad04393a875f764809a6a422021-11-29T06:32:46ZEvaluating the Efficiency of Sugarcane Harvesting Units Using a Combined Approach to Data Envelopment Analysis and Data Mining2228-68292423-394310.22067/jam.2020.58695.0https://doaj.org/article/ece8e5705ad04393a875f764809a6a422022-03-01T00:00:00Zhttps://jame.um.ac.ir/article_39323_fe4edb3df9ced0d747b48ae7a1d788b5.pdfhttps://doaj.org/toc/2228-6829https://doaj.org/toc/2423-3943Every organization needs an evaluation system in order to be aware of the level of performance and desirability of its units. It is more important for agricultural companies, including agro-industries. In this study, 20 sugarcane harvesting units were selected. After modeling based on input-oriented CCR and BCC models, efficiency values for sugarcane harvesting units were calculated and the CART decision tree was used to extract rules to predict the efficiency of these units. The results of a study of 20 sugarcane harvesting units in the CCR model showed that 6 units had an efficient score and 14 units had an inefficient score, and their technical efficiency score was in the range of 0.73-0.95. The results of the BCC model study also showed that out of a total of 20 sugarcane harvesting units, 8 units had efficient scores. As can be seen, in the BCC model, more units are introduced as efficient units and there is less dispersion between inefficient units. Also, the distribution of efficient units in the BCC model is less than the CCR model. The average technical efficiency, pure technical efficiency, and scale efficiency were 93%, 88%, and 93%, respectively. Also, the accuracy of the decision tree model for technical efficiency and pure technical efficiency was 86% and 93%, respectively.N MonjeziFerdowsi University of MashhadarticlecartdeaharvestsugarcaneAgriculture (General)S1-972Engineering (General). Civil engineering (General)TA1-2040ENFAJournal of Agricultural Machinery, Vol 12, Iss 1, Pp 43-54 (2022)
institution	DOAJ
collection	DOAJ
language	EN FA
topic	cart dea harvest sugarcane Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	cart dea harvest sugarcane Agriculture (General) S1-972 Engineering (General). Civil engineering (General) TA1-2040 N Monjezi Evaluating the Efficiency of Sugarcane Harvesting Units Using a Combined Approach to Data Envelopment Analysis and Data Mining
description	Every organization needs an evaluation system in order to be aware of the level of performance and desirability of its units. It is more important for agricultural companies, including agro-industries. In this study, 20 sugarcane harvesting units were selected. After modeling based on input-oriented CCR and BCC models, efficiency values for sugarcane harvesting units were calculated and the CART decision tree was used to extract rules to predict the efficiency of these units. The results of a study of 20 sugarcane harvesting units in the CCR model showed that 6 units had an efficient score and 14 units had an inefficient score, and their technical efficiency score was in the range of 0.73-0.95. The results of the BCC model study also showed that out of a total of 20 sugarcane harvesting units, 8 units had efficient scores. As can be seen, in the BCC model, more units are introduced as efficient units and there is less dispersion between inefficient units. Also, the distribution of efficient units in the BCC model is less than the CCR model. The average technical efficiency, pure technical efficiency, and scale efficiency were 93%, 88%, and 93%, respectively. Also, the accuracy of the decision tree model for technical efficiency and pure technical efficiency was 86% and 93%, respectively.
format	article
author	N Monjezi
author_facet	N Monjezi
author_sort	N Monjezi
title	Evaluating the Efficiency of Sugarcane Harvesting Units Using a Combined Approach to Data Envelopment Analysis and Data Mining
title_short	Evaluating the Efficiency of Sugarcane Harvesting Units Using a Combined Approach to Data Envelopment Analysis and Data Mining
title_full	Evaluating the Efficiency of Sugarcane Harvesting Units Using a Combined Approach to Data Envelopment Analysis and Data Mining
title_fullStr	Evaluating the Efficiency of Sugarcane Harvesting Units Using a Combined Approach to Data Envelopment Analysis and Data Mining
title_full_unstemmed	Evaluating the Efficiency of Sugarcane Harvesting Units Using a Combined Approach to Data Envelopment Analysis and Data Mining
title_sort	evaluating the efficiency of sugarcane harvesting units using a combined approach to data envelopment analysis and data mining
publisher	Ferdowsi University of Mashhad
publishDate	2022
url	https://doaj.org/article/ece8e5705ad04393a875f764809a6a42
work_keys_str_mv	AT nmonjezi evaluatingtheefficiencyofsugarcaneharvestingunitsusingacombinedapproachtodataenvelopmentanalysisanddatamining
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Evaluating the Efficiency of Sugarcane Harvesting Units Using a Combined Approach to Data Envelopment Analysis and Data Mining

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