Multi-Objective Multi-Index Transportation Model for Crude Oil Using Fuzzy NSGA-II
The import and export of crude oil are vastly affected by the economy of a developing country. It can be useful for the production of petroleum products. Likewise, the developing country, India is completely relying on the import of crude oil from Gulf countries. Thus, there is a need for optimization of routes and modes of transportation. This article presents a two-stage cost and time minimizing fuzzy business restricted multi-objective multi-index transportation problem, in which supplies, demands, and requirements are triangular fuzzy numbers. A business restricted constraints using binary variables are added in the developed supply chain of crude oil in India. The proposed model helps the decision-maker to choose the source country for the import of crude oil. The model is solved by using the authors' proposed fuzzy non-dominated sorting genetic algorithm (NSGA)-II. The performance of the proposed algorithm is analyzed by using a simulation technique for uncertainty level α ∈ [0, 1]. Also, the Pareto decision space for formulated business restricted transportation problem is discussed using α— cut technique. For the superiority of the proposed methodology, the authors have implemented this on real-world case study viz., Daya case study. Based on the results they claim that the methodology is superior.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/oclc/41297384
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Supplemental Notes:
- Copyright © 2022, IEEE.
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Authors:
- Latpate, Raosaheb
- Kurade, Sandesh S
- Publication Date: 2022-2
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 1347-1356
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Serial:
- IEEE Transactions on Intelligent Transportation Systems
- Volume: 23
- Issue Number: 2
- Publisher: Institute of Electrical and Electronics Engineers (IEEE)
- ISSN: 1524-9050
- Serial URL: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6979
Subject/Index Terms
- TRT Terms: Crude oil; Freight transportation; Genetic algorithms; Mathematical models; Supply chain management
- Geographic Terms: India
- Subject Areas: Data and Information Technology; Freight Transportation;
Filing Info
- Accession Number: 01837954
- Record Type: Publication
- Files: TRIS
- Created Date: Feb 28 2022 9:53AM