Measuring the Performance of Pallet Rental Companies: Integer-Valued DEA Models With Generalized Reference Sets

The development of the pallet rental industry is moving at a rapid pace. However, there is no literature on the performance evaluation of pallet rental companies except our previous study. This paper contributes to extending our previous super-efficiency integer-valued DEA (data envelope analysis) m...

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Autores principales:	Chunhua Chen, Haohua Liu, Bo Liu, Jiewei Zhang, Bin Gao, Jianwei Ren
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2020
Materias:	DEA reference set integer logistics pallet Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/2b91176914a94359bb3f4eac165428fe
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spelling	oai:doaj.org-article:2b91176914a94359bb3f4eac165428fe2021-11-19T00:02:53ZMeasuring the Performance of Pallet Rental Companies: Integer-Valued DEA Models With Generalized Reference Sets2169-353610.1109/ACCESS.2019.2962252https://doaj.org/article/2b91176914a94359bb3f4eac165428fe2020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/8943200/https://doaj.org/toc/2169-3536The development of the pallet rental industry is moving at a rapid pace. However, there is no literature on the performance evaluation of pallet rental companies except our previous study. This paper contributes to extending our previous super-efficiency integer-valued DEA (data envelope analysis) model to a group of integer-valued DEA models with generalized reference sets (G-IDEA). According to the proposed approach, the reference sets for decision-making units (DMUs) are composed of proper efficient sample units instead of efficient DMUs. These sample units, which may or may not be the same as DMUs, can be selected by decision-makers according to their demand. The advantages of the G-IDEA models are as follows: (1) they can be applied to find the projections of pallet rental companies with real-valued and integer-valued variables on the efficient frontier; (2) they are able to help the decision-makers in inefficient pallet rental companies make a step by step efficiency improvement scheme. Particularly, we develop a non-oriented integer-valued DEA model with generalized reference sets (NG-IDEA). The NG-IDEA model can be used to figure out how to improve the performance of inefficient pallet rental companies by simultaneously decreasing inputs and increasing outputs. The proposed models are applied to the performance evaluation of ten pallet rental companies. The results of the case study prove the effectiveness of our models. Furthermore, some valuable suggestions on how to improve the efficiency of inefficient pallet rental companies are presented based on the results.Chunhua ChenHaohua LiuBo LiuJiewei ZhangBin GaoJianwei RenIEEEarticleDEAreference setintegerlogisticspalletElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 8, Pp 3374-3386 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	DEA reference set integer logistics pallet Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	DEA reference set integer logistics pallet Electrical engineering. Electronics. Nuclear engineering TK1-9971 Chunhua Chen Haohua Liu Bo Liu Jiewei Zhang Bin Gao Jianwei Ren Measuring the Performance of Pallet Rental Companies: Integer-Valued DEA Models With Generalized Reference Sets
description	The development of the pallet rental industry is moving at a rapid pace. However, there is no literature on the performance evaluation of pallet rental companies except our previous study. This paper contributes to extending our previous super-efficiency integer-valued DEA (data envelope analysis) model to a group of integer-valued DEA models with generalized reference sets (G-IDEA). According to the proposed approach, the reference sets for decision-making units (DMUs) are composed of proper efficient sample units instead of efficient DMUs. These sample units, which may or may not be the same as DMUs, can be selected by decision-makers according to their demand. The advantages of the G-IDEA models are as follows: (1) they can be applied to find the projections of pallet rental companies with real-valued and integer-valued variables on the efficient frontier; (2) they are able to help the decision-makers in inefficient pallet rental companies make a step by step efficiency improvement scheme. Particularly, we develop a non-oriented integer-valued DEA model with generalized reference sets (NG-IDEA). The NG-IDEA model can be used to figure out how to improve the performance of inefficient pallet rental companies by simultaneously decreasing inputs and increasing outputs. The proposed models are applied to the performance evaluation of ten pallet rental companies. The results of the case study prove the effectiveness of our models. Furthermore, some valuable suggestions on how to improve the efficiency of inefficient pallet rental companies are presented based on the results.
format	article
author	Chunhua Chen Haohua Liu Bo Liu Jiewei Zhang Bin Gao Jianwei Ren
author_facet	Chunhua Chen Haohua Liu Bo Liu Jiewei Zhang Bin Gao Jianwei Ren
author_sort	Chunhua Chen
title	Measuring the Performance of Pallet Rental Companies: Integer-Valued DEA Models With Generalized Reference Sets
title_short	Measuring the Performance of Pallet Rental Companies: Integer-Valued DEA Models With Generalized Reference Sets
title_full	Measuring the Performance of Pallet Rental Companies: Integer-Valued DEA Models With Generalized Reference Sets
title_fullStr	Measuring the Performance of Pallet Rental Companies: Integer-Valued DEA Models With Generalized Reference Sets
title_full_unstemmed	Measuring the Performance of Pallet Rental Companies: Integer-Valued DEA Models With Generalized Reference Sets
title_sort	measuring the performance of pallet rental companies: integer-valued dea models with generalized reference sets
publisher	IEEE
publishDate	2020
url	https://doaj.org/article/2b91176914a94359bb3f4eac165428fe
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Measuring the Performance of Pallet Rental Companies: Integer-Valued DEA Models With Generalized Reference Sets

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