Optimal network design and storage management in petroleum distribution network under uncertainty

Ghatee, Mehdi; Hashemi, S. Mehdi

doi:10.1016/j.engappai.2009.01.003

Cited by 37 publications

(16 citation statements)

References 23 publications

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“…But, none of the existing methods [9][10][11][12][13][14] may be used to find the exact fuzzy optimal solution of unbalanced fuzzy transportation problems, e.g., the fuzzy transportation problem, chosen in Example 2, may not be solved by using any of the existing methods [9][10][11][12][13][14].…”

Section: Limitations Of Existing Methodsmentioning

confidence: 97%

“…(1) In all the existing methods [9][10][11][12][13][14] the fuzzy linear programming formulation of balanced fully fuzzy minimal cost flow problem is presented but in none of the paper it is provided that how it will be checked that chosen fully fuzzy minimal cost flow problem is balanced or unbalanced, due to which the following shortcomings are occurring in the existing work.…”

Section: Shortcomings Of the Existing Methodsmentioning

confidence: 99%

“…Ghatee and Hashemi [9,10,11,12] proposed the fuzzy linear programming formulation of balanced fully fuzzy minimal cost flow problems. In case of balanced fully fuzzy transportation problem, the same fuzzy linear programming formulation will be converted into the following fuzzy linear programming formulation:…”

Section: Linear Programming Formulation Of Fuzzy Transportation Problemsmentioning

confidence: 99%

“…Ghatee and Hashemi [10] presented some different cases of fuzzy minimal cost flow problems utilizing a total order and nominal flows. Ghatee and Hashemi [12] proposed a method for solving fully fuzzy maximal cost flow problems and applied it to find a fuzzy optimal solution to petroleum distribution network. Ghatee et al [13] introduced the duality properties for fully fuzzified version of the minimal cost flow problem.…”

Section: Introductionmentioning

confidence: 99%

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Application of Classical Transportation Methods to Find the Fuzzy Optimal Solution of Fuzzy Transportation Problems

Kumar

Kaur

2011

Fuzzy Information and Engineering

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To the best of our knowledge till now there is no method in the literature to find the exact fuzzy optimal solution of unbalanced fully fuzzy transportation problems. In this paper, the shortcomings and limitations of some of the existing methods for solving the problems are pointed out and to overcome these shortcomings and limitations, two new methods are proposed to find the exact fuzzy optimal solution of unbalanced fuzzy transportation problems by representing all the parameters as LR flat fuzzy numbers. To show the advantages of the proposed methods over existing methods, a fully fuzzy transportation problem which may not be solved by using any of the existing methods, is solved by using the proposed methods and by comparing the results, obtained by using the existing methods and proposed methods. It is shown that it is better to use proposed methods as compared to existing methods.

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Section: Limitations Of Existing Methodsmentioning

confidence: 97%

Section: Shortcomings Of the Existing Methodsmentioning

confidence: 99%

Section: Linear Programming Formulation Of Fuzzy Transportation Problemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of Classical Transportation Methods to Find the Fuzzy Optimal Solution of Fuzzy Transportation Problems

Kumar

Kaur

2011

Fuzzy Information and Engineering

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“…In a fuzzy set (Eq. 4), however, the transition from membership to nonmembership is gradual [49][50][51][52], that is to say any object belongs to a fuzzy set to a certain degree:…”

Section: Fuzzy Logicmentioning

confidence: 99%

Multi-Objective Optimization of Microemulsion Flooding for Chemical Enhanced Oil Recovery

Karambeigi

Asl

Nasiri

2018

Oil & Gas Science and Technology - Rev. IFP Energies nouvel

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-Microemulsion flooding is one of the most effective methods of Chemical Enhanced Oil Recovery (CEOR), particularly for the production of residual oil trapped in unconventional reservoirs. A critical step for successful application of this technique is to achieve a suitable formulation. Previous studies have almost focused on the technical aspects while considering both practical and economic matters as conflicting objectives have been neglected. In the present paper, the formulation of microemulsion is optimized based on the trade-off between scientific and financial responses using a hybrid workflow in which experimental design and artificial intelligence methodologies are composed. To appraise the efficiency of developed algorithm, a challenge case study is first evaluated and compared to previous approaches. Thereafter, the second case is examined in which a newly developed formulation of microemulsion for high temperature carbonate reservoirs is optimized. The outcomes of this multi-attribute workflow are compared to a single-objective algorithm. The results indicate the outstanding performance of the proposed approach for multi-objective optimization of microemulsion formulation. Eventually, the possible concerns regarding the application of microemulsion flooding in unconventional reservoirs are discussed.

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New Improved Methods for Solving the Fully Fuzzy Transshipment Problems with Parameters Given as the LR Flat Fuzzy Numbers

Kaur

Kacprzyk

Kumar

2019

Fuzzy Transportation and Transshipment Problems

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Optimal network design and storage management in petroleum distribution network under uncertainty

Cited by 37 publications

References 23 publications

Application of Classical Transportation Methods to Find the Fuzzy Optimal Solution of Fuzzy Transportation Problems

Application of Classical Transportation Methods to Find the Fuzzy Optimal Solution of Fuzzy Transportation Problems

Multi-Objective Optimization of Microemulsion Flooding for Chemical Enhanced Oil Recovery

New Improved Methods for Solving the Fully Fuzzy Transshipment Problems with Parameters Given as the LR Flat Fuzzy Numbers

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