An optimization framework for risk response actions selection using hybrid ACO and FTOPSIS

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.

Shoar SH.; NAZARI A.

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

Journal Paper

Paper Information

Journal: SCIENTIA IRANICA Year:2019 | Volume:26 | Issue:3 (Transactions E: Industrial Engineering) Page(s): 1763-1777

Download Full-Text

View:

230

Download:

160

Cites:

Information Journal Paper

Title

An optimization framework for risk response actions selection using hybrid ACO and FTOPSIS

Author(s)

Shoar SH. | NAZARI A. | Issue Writer Certificate

Keywords

Project risk management

Risk response action selection

ACO

Risk interactions

FTOPSIS

Fuzzy set theory

Abstract

This paper presents a framework for solving risk response action selection problem by considering: (1) the impact of risk events on the project objectives, (2) the interactions between risk events and (3) management criteria and preferences. For these purposes, a framework is developed by combining an optimization-based model and a Multi Criteria Decision Making (MCDM) approach. First, in the optimization-based model, Ant Colony Optimization (ACO) is used to find the best combination of response actions which have more effects on time, cost and quality. Also, in this model, to overcome the imprecision situation resulting from lack of knowledge or insufficient data, risk parameters are determined using the fuzzy set theory. Moreover, the Design Structure Matrix (DSM) is used to capture the effect of interactions between risk events. Second, the Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) method is used to analyze the obtained solutions by ACO, based on the other management criteria. Finally, the efficiency of the proposed framework is examined by its implementation in a real building construction project. Discussions through the case study show that using the proposed framework decision makers can evaluate more aspects of response actions.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Shoar, SH., & NAZARI, A.. (2019). An optimization framework for risk response actions selection using hybrid ACO and FTOPSIS. SCIENTIA IRANICA, 26(3 (Transactions E: Industrial Engineering)), 1763-1777. SID. https://sid.ir/paper/290669/en

Vancouver: Copy

Shoar SH., NAZARI A.. An optimization framework for risk response actions selection using hybrid ACO and FTOPSIS. SCIENTIA IRANICA[Internet]. 2019;26(3 (Transactions E: Industrial Engineering)):1763-1777. Available from: https://sid.ir/paper/290669/en

IEEE: Copy

SH. Shoar, and A. NAZARI, “An optimization framework for risk response actions selection using hybrid ACO and FTOPSIS,” SCIENTIA IRANICA, vol. 26, no. 3 (Transactions E: Industrial Engineering), pp. 1763–1777, 2019, [Online]. Available: https://sid.ir/paper/290669/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops