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Data Envelopment Analysis models for...
~
University of Toronto (Canada).
Data Envelopment Analysis models for a mixture of non-ratio and ratio variables.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Data Envelopment Analysis models for a mixture of non-ratio and ratio variables./
作者:
Sigaroudi, Sanaz.
面頁冊數:
1 online resource (169 pages)
附註:
Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
標題:
Operations research. -
電子資源:
click for full text (PQDT)
ISBN:
9780355488081
Data Envelopment Analysis models for a mixture of non-ratio and ratio variables.
Sigaroudi, Sanaz.
Data Envelopment Analysis models for a mixture of non-ratio and ratio variables.
- 1 online resource (169 pages)
Source: Dissertation Abstracts International, Volume: 79-05(E), Section: B.
Thesis (Ph.D.)--University of Toronto (Canada), 2016.
Includes bibliographical references
Performance comparison is a delicate business, even among organizations of the same kind. The simplest of all is usually the ratio of a single output to a single input. The problem lies in the fact that one aspect of the business could hardly represent the whole picture and the landscape the business is operating in. Businesses have complex structures and oer variety of products so it is only fair to take all into consideration to judge their performance against others in an industry. Data Envelopment Analysis (DEA) is one method suitable when there are multiple inputs and outputs to be considered. It is a non-parametric method conceptualized by Farrell in 1957. However, it was not untill 20 years later, that Charnes, Cooper and Rhodes brought this concept into practice by finding a way to realize this idea and make it work. The breakthrough came from the fact that under certain assumptions Farrell's idea could be formulated as a linear mathematical program (LP) which could be solved using the simplex and similar methods. One limitation of the existing DEA models is their inability to work with ratio variables because the linear combination of DMUs do not generally translate to linear combination of inputs and outputs in the ratio form. In this work, our contribution to the field includes extending Farrell's idea to include ratio inputs and outputs and operationalizing four models under variable returns to scale assumption. Three non-oriented models are formulated and linearized and one non-linear model is solved using a heuristic.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355488081Subjects--Topical Terms:
573517
Operations research.
Index Terms--Genre/Form:
554714
Electronic books.
Data Envelopment Analysis models for a mixture of non-ratio and ratio variables.
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Data Envelopment Analysis models for a mixture of non-ratio and ratio variables.
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