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Single‐phase slack‐based centralized DEA for resource reallocation
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Zeitschriftentitel: | International Transactions in Operational Research |
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Personen und Körperschaften: | , |
In: | International Transactions in Operational Research, 25, 2018, 2, S. 737-751 |
Format: | E-Article |
Sprache: | Englisch |
veröffentlicht: |
Wiley
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Schlagwörter: |
author_facet |
Yu, Ming‐Miin Hsiao, Bo Yu, Ming‐Miin Hsiao, Bo |
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author |
Yu, Ming‐Miin Hsiao, Bo |
spellingShingle |
Yu, Ming‐Miin Hsiao, Bo International Transactions in Operational Research Single‐phase slack‐based centralized DEA for resource reallocation Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management |
author_sort |
yu, ming‐miin |
spelling |
Yu, Ming‐Miin Hsiao, Bo 0969-6016 1475-3995 Wiley Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management http://dx.doi.org/10.1111/itor.12210 <jats:title>Abstract</jats:title><jats:p>Data envelopment analysis (DEA) is an effective method for measuring the relative efficiency of a set of homogeneous decision‐making units (DMUs). Yu et al.’s study proposed an extended centralized DEA (CDEA) model that utilizes a two‐phase process for reallocating resources to project not only in each DMU (e.g., branch company) but also in the central DMU (e.g., headquarters, central authority) on the production frontier. However, evaluating the two‐phase model using the approach of Yu et al. may present some challenges because of inconsistent benchmarks. To solve this issue, we modified a single‐phase slack‐based CDEA that considers transfer‐in and transfer‐out slacks to facilitate the reallocation and adjustment of resources. Our modified single‐phase slack‐based CDEA is demonstrated with a numerical example illustrating input resource reallocation. Results show that the modified single‐phase CDEA model is effective to deal with a more realistic inconsistency reference set and provide much more reallocation ability than the two‐phase approach.</jats:p> Single‐phase slack‐based centralized DEA for resource reallocation International Transactions in Operational Research |
doi_str_mv |
10.1111/itor.12210 |
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Wiley |
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International Transactions in Operational Research |
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title |
Single‐phase slack‐based centralized DEA for resource reallocation |
title_unstemmed |
Single‐phase slack‐based centralized DEA for resource reallocation |
title_full |
Single‐phase slack‐based centralized DEA for resource reallocation |
title_fullStr |
Single‐phase slack‐based centralized DEA for resource reallocation |
title_full_unstemmed |
Single‐phase slack‐based centralized DEA for resource reallocation |
title_short |
Single‐phase slack‐based centralized DEA for resource reallocation |
title_sort |
single‐phase slack‐based centralized dea for resource reallocation |
topic |
Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management |
url |
http://dx.doi.org/10.1111/itor.12210 |
publishDate |
2018 |
physical |
737-751 |
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<jats:title>Abstract</jats:title><jats:p>Data envelopment analysis (DEA) is an effective method for measuring the relative efficiency of a set of homogeneous decision‐making units (DMUs). Yu et al.’s study proposed an extended centralized DEA (CDEA) model that utilizes a two‐phase process for reallocating resources to project not only in each DMU (e.g., branch company) but also in the central DMU (e.g., headquarters, central authority) on the production frontier. However, evaluating the two‐phase model using the approach of Yu et al. may present some challenges because of inconsistent benchmarks. To solve this issue, we modified a single‐phase slack‐based CDEA that considers transfer‐in and transfer‐out slacks to facilitate the reallocation and adjustment of resources. Our modified single‐phase slack‐based CDEA is demonstrated with a numerical example illustrating input resource reallocation. Results show that the modified single‐phase CDEA model is effective to deal with a more realistic inconsistency reference set and provide much more reallocation ability than the two‐phase approach.</jats:p> |
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author | Yu, Ming‐Miin, Hsiao, Bo |
author_facet | Yu, Ming‐Miin, Hsiao, Bo, Yu, Ming‐Miin, Hsiao, Bo |
author_sort | yu, ming‐miin |
container_issue | 2 |
container_start_page | 737 |
container_title | International Transactions in Operational Research |
container_volume | 25 |
description | <jats:title>Abstract</jats:title><jats:p>Data envelopment analysis (DEA) is an effective method for measuring the relative efficiency of a set of homogeneous decision‐making units (DMUs). Yu et al.’s study proposed an extended centralized DEA (CDEA) model that utilizes a two‐phase process for reallocating resources to project not only in each DMU (e.g., branch company) but also in the central DMU (e.g., headquarters, central authority) on the production frontier. However, evaluating the two‐phase model using the approach of Yu et al. may present some challenges because of inconsistent benchmarks. To solve this issue, we modified a single‐phase slack‐based CDEA that considers transfer‐in and transfer‐out slacks to facilitate the reallocation and adjustment of resources. Our modified single‐phase slack‐based CDEA is demonstrated with a numerical example illustrating input resource reallocation. Results show that the modified single‐phase CDEA model is effective to deal with a more realistic inconsistency reference set and provide much more reallocation ability than the two‐phase approach.</jats:p> |
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spelling | Yu, Ming‐Miin Hsiao, Bo 0969-6016 1475-3995 Wiley Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management http://dx.doi.org/10.1111/itor.12210 <jats:title>Abstract</jats:title><jats:p>Data envelopment analysis (DEA) is an effective method for measuring the relative efficiency of a set of homogeneous decision‐making units (DMUs). Yu et al.’s study proposed an extended centralized DEA (CDEA) model that utilizes a two‐phase process for reallocating resources to project not only in each DMU (e.g., branch company) but also in the central DMU (e.g., headquarters, central authority) on the production frontier. However, evaluating the two‐phase model using the approach of Yu et al. may present some challenges because of inconsistent benchmarks. To solve this issue, we modified a single‐phase slack‐based CDEA that considers transfer‐in and transfer‐out slacks to facilitate the reallocation and adjustment of resources. Our modified single‐phase slack‐based CDEA is demonstrated with a numerical example illustrating input resource reallocation. Results show that the modified single‐phase CDEA model is effective to deal with a more realistic inconsistency reference set and provide much more reallocation ability than the two‐phase approach.</jats:p> Single‐phase slack‐based centralized DEA for resource reallocation International Transactions in Operational Research |
spellingShingle | Yu, Ming‐Miin, Hsiao, Bo, International Transactions in Operational Research, Single‐phase slack‐based centralized DEA for resource reallocation, Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management, Computer Science Applications, Business and International Management |
title | Single‐phase slack‐based centralized DEA for resource reallocation |
title_full | Single‐phase slack‐based centralized DEA for resource reallocation |
title_fullStr | Single‐phase slack‐based centralized DEA for resource reallocation |
title_full_unstemmed | Single‐phase slack‐based centralized DEA for resource reallocation |
title_short | Single‐phase slack‐based centralized DEA for resource reallocation |
title_sort | single‐phase slack‐based centralized dea for resource reallocation |
title_unstemmed | Single‐phase slack‐based centralized DEA for resource reallocation |
topic | Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management, Computer Science Applications, Business and International Management |
url | http://dx.doi.org/10.1111/itor.12210 |