Stochastic Two-stage Network-structures Under P-models: A DEA Based Approach

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MEHDIZADEH S.; AMIRTEIMOORI A.R.; BEHZADI M.H.; KORDROSTAMI S.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: International Journal of Industrial Mathematics Year:2020 | Volume:12 | Issue:3 Page(s): 245-261

Download Full-Text

View:

172

Download:

119

Cites:

Information Journal Paper

Title

Stochastic Two-stage Network-structures Under P-models: A DEA Based Approach

Author(s)

MEHDIZADEH S. | AMIRTEIMOORI A.R. | BEHZADI M.H. | KORDROSTAMI S. | Issue Writer Certificate

Keywords

Stochastic DEA

Chance constraint model

Two-stage system

Performance evaluation

Abstract

Regular network data envelopment analysis (NDEA) models for calculating the efficiency of decisionmaking units (DMUs) with two-stage construction requires the data set to be deterministic. In the real world, however, there are many observations that have stochastic behavior. This paper proposes a network DEA with two-stage structures models by the attention to stochastic data. The stochastic two-stage network DEA models are formulated based on the P-models of chance constrained programming and leader-follower concepts. On the basis of probability distribution properties and by the assumption of stochastic single factor components of data set, the probabilistic form of models is transformed to the equivalent deterministic linear programming model. In addition, the relationship between each stage as leader or follower is discussed. A real case on 16 commercial banks in China has been clari ed to con rm the applicability of the proposed approaches under different levels.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

MEHDIZADEH, S., AMIRTEIMOORI, A.R., BEHZADI, M.H., & KORDROSTAMI, S.. (2020). Stochastic Two-stage Network-structures Under P-models: A DEA Based Approach. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, 12(3), 245-261. SID. https://sid.ir/paper/745852/en

Vancouver: Copy

MEHDIZADEH S., AMIRTEIMOORI A.R., BEHZADI M.H., KORDROSTAMI S.. Stochastic Two-stage Network-structures Under P-models: A DEA Based Approach. INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS[Internet]. 2020;12(3):245-261. Available from: https://sid.ir/paper/745852/en

IEEE: Copy

S. MEHDIZADEH, A.R. AMIRTEIMOORI, M.H. BEHZADI, and S. KORDROSTAMI, “Stochastic Two-stage Network-structures Under P-models: A DEA Based Approach,” INTERNATIONAL JOURNAL OF INDUSTRIAL MATHEMATICS, vol. 12, no. 3, pp. 245–261, 2020, [Online]. Available: https://sid.ir/paper/745852/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops