Cuckoo Search Algorithm Approach for Multi-Objective Optimization in Reverse Logistics Network under Uncertainty Condition

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.

EHTESHAM RASI REZA

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

Journal Paper

Paper Information

Journal: International Journal of Supply and Operations Management Year:2018 | Volume:5 | Issue:1 Page(s): 66-80

Download Full-Text

View:

192

Download:

106

Cites:

Information Journal Paper

Title

Cuckoo Search Algorithm Approach for Multi-Objective Optimization in Reverse Logistics Network under Uncertainty Condition

Author(s)

EHTESHAM RASI REZA | Issue Writer Certificate

Keywords

Reverse logistics

Optimization

Fuzzy

Cuckoo algorithm

Mixed integer linear programing (MILP)

Abstract

In this study, an efficient logistics network was designed to optimize both time and cost as the most effective factors using a mathematical model (two-objective Fuzzy Optimization) in a Reverse logistics system. This paper attempted to determine the value of goods sent between return processing centers in any period of time in order to minimize the total cost and time of delay within supply chain. The Fuzzy approach was adopted in order to consider uncertainty in Reverse logistics network. The validity of model was measured through a model proposed by Azar Resin Chemical Industrial Company and then implemented and solved by GAMS software. According to the previous studies that implemented the model at a smaller scale, the problem revolved around designing NP-hard logistics network. Hence, exact methods cannot solve these problems on a large scale. Therefore, for solving the problem, Meta-Heuristic algorithms was used in this study. Because Cuckoo search algorithm has a high efficiency in comparison to other algorithms. In order to validate the newly proposed algorithm, the results were compared against the exact solution. The findings suggested that the proposed Cuckoo algorithm was sufficiently accurate to solve the problem and achieve values similar to exact solution.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

EHTESHAM RASI, REZA. (2018). Cuckoo Search Algorithm Approach for Multi-Objective Optimization in Reverse Logistics Network under Uncertainty Condition. INTERNATIONAL JOURNALS OF SUPPLY AND OPERATIONS MANAGEMENT, 5(1), 66-80. SID. https://sid.ir/paper/350247/en

Vancouver: Copy

EHTESHAM RASI REZA. Cuckoo Search Algorithm Approach for Multi-Objective Optimization in Reverse Logistics Network under Uncertainty Condition. INTERNATIONAL JOURNALS OF SUPPLY AND OPERATIONS MANAGEMENT[Internet]. 2018;5(1):66-80. Available from: https://sid.ir/paper/350247/en

IEEE: Copy

REZA EHTESHAM RASI, “Cuckoo Search Algorithm Approach for Multi-Objective Optimization in Reverse Logistics Network under Uncertainty Condition,” INTERNATIONAL JOURNALS OF SUPPLY AND OPERATIONS MANAGEMENT, vol. 5, no. 1, pp. 66–80, 2018, [Online]. Available: https://sid.ir/paper/350247/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops