A two-phased gradient technique for budget allocation: an application to data collection budget allocation in efficiency measurement of DEA

Wai Peng Wong; Loo Hay Lee; Wikrom Jaruphongsa

doi:10.1109/ICECTECH.2010.5479979

A two-phased gradient technique for budget allocation: an application to data collection budget allocation in efficiency measurement of DEA

Wai Peng Wong, Loo Hay Lee, Wikrom Jaruphongsa

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

This paper presents a gradient based algorithm to solve the data collection budget allocation problem in efficiency measurement of DEA. A hard limit is put on how many total readings can be collected and we aim to determine how these should be allocated among the different attributes. A two-phased gradient technique is developed to solve this problem. The numerical results showed that the proposed gradient based algorithm performs well in solving the problem. The insight from the results reveal that, it is important to allocate the budget intelligently and the proposed algorithm serves as a potential method in this area.

Original language	English
Title of host publication	ICECT 2010 - Proceedings of the 2010 2nd International Conference on Electronic Computer Technology
Pages	93-96
Number of pages	4
DOIs	https://doi.org/10.1109/ICECTECH.2010.5479979
Publication status	Published - 2010
Externally published	Yes
Event	International Conference on Electronic Computer Technology 2010 - Kuala Lumpur, Malaysia Duration: 7 May 2010 → 10 May 2010

Conference

Conference	International Conference on Electronic Computer Technology 2010
Abbreviated title	ICECT 2010
Country/Territory	Malaysia
City	Kuala Lumpur
Period	7/05/10 → 10/05/10

Keywords

Budget allocation
Component
Data collection
DEA
Gradient

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10.1109/ICECTECH.2010.5479979

Cite this

@inproceedings{e61d991db8824ab6ae95af2d818d9c60,

title = "A two-phased gradient technique for budget allocation: an application to data collection budget allocation in efficiency measurement of DEA",

abstract = "This paper presents a gradient based algorithm to solve the data collection budget allocation problem in efficiency measurement of DEA. A hard limit is put on how many total readings can be collected and we aim to determine how these should be allocated among the different attributes. A two-phased gradient technique is developed to solve this problem. The numerical results showed that the proposed gradient based algorithm performs well in solving the problem. The insight from the results reveal that, it is important to allocate the budget intelligently and the proposed algorithm serves as a potential method in this area.",

keywords = "Budget allocation, Component, Data collection, DEA, Gradient",

author = "Wong, \{Wai Peng\} and Lee, \{Loo Hay\} and Wikrom Jaruphongsa",

year = "2010",

doi = "10.1109/ICECTECH.2010.5479979",

language = "English",

isbn = "9781424474059",

pages = "93--96",

booktitle = "ICECT 2010 - Proceedings of the 2010 2nd International Conference on Electronic Computer Technology",

note = "International Conference on Electronic Computer Technology 2010, ICECT 2010 ; Conference date: 07-05-2010 Through 10-05-2010",

}

Wong, WP, Lee, LH & Jaruphongsa, W 2010, A two-phased gradient technique for budget allocation: an application to data collection budget allocation in efficiency measurement of DEA. in ICECT 2010 - Proceedings of the 2010 2nd International Conference on Electronic Computer Technology. pp. 93-96, International Conference on Electronic Computer Technology 2010, Kuala Lumpur, Malaysia, 7/05/10. https://doi.org/10.1109/ICECTECH.2010.5479979

A two-phased gradient technique for budget allocation: an application to data collection budget allocation in efficiency measurement of DEA. / Wong, Wai Peng; Lee, Loo Hay; Jaruphongsa, Wikrom.
ICECT 2010 - Proceedings of the 2010 2nd International Conference on Electronic Computer Technology. 2010. p. 93-96.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Lee, Loo Hay

AU - Jaruphongsa, Wikrom

PY - 2010

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N2 - This paper presents a gradient based algorithm to solve the data collection budget allocation problem in efficiency measurement of DEA. A hard limit is put on how many total readings can be collected and we aim to determine how these should be allocated among the different attributes. A two-phased gradient technique is developed to solve this problem. The numerical results showed that the proposed gradient based algorithm performs well in solving the problem. The insight from the results reveal that, it is important to allocate the budget intelligently and the proposed algorithm serves as a potential method in this area.

AB - This paper presents a gradient based algorithm to solve the data collection budget allocation problem in efficiency measurement of DEA. A hard limit is put on how many total readings can be collected and we aim to determine how these should be allocated among the different attributes. A two-phased gradient technique is developed to solve this problem. The numerical results showed that the proposed gradient based algorithm performs well in solving the problem. The insight from the results reveal that, it is important to allocate the budget intelligently and the proposed algorithm serves as a potential method in this area.

KW - Budget allocation

KW - Component

KW - Data collection

KW - DEA

KW - Gradient

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DO - 10.1109/ICECTECH.2010.5479979

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AN - SCOPUS:77954395515

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Y2 - 7 May 2010 through 10 May 2010

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A two-phased gradient technique for budget allocation: an application to data collection budget allocation in efficiency measurement of DEA

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Conference

Keywords

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