Solving a Multi Objective Transportation Problem(MOTP) Under Fuzziness on Using Interval Numbers

Saraj, Mansour; Mashkoorzadeh, F.; Simos, Theodore E.; Psihoyios, George; Tsitouras, Ch.

doi:10.1063/1.3497853

Cited by 2 publications

(2 citation statements)

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“…The multi-objective transshipment problem (MOTP) is another model that was studied by Das et al [17], Abd El-Wahed [18], Saraj and Mashkoorzadeh [19] and Malakooti [20].…”

Section: Literature Reviewmentioning

confidence: 99%

A Transshipment Model of Seven-Up Bottling Company, Benin Plant, Nigeria

Agadaga¹,

Akpan²

2019

AJOR

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This research work seeks to model the distribution of 50 cl Pepsi soft drink as a transhipment problem. The transshipment problem is an extension of the traditional transportation problem which takes into account a multi-phase transport system in which the flows of goods and services are taken through an intermediate point (transhipment points) between the origin and the destination with varying objective functions. The main focus in this research was to obtain the minimum cost of transporting 10,000 crates of the product from the Benin plant (source) through deports (transshipment points) to the Sapele-Warri region (sinks) where the product is demanded. Data collected were analyzed using TORA Windows Version 2.00 software. The analysis shows that the minimum cost of transporting the product can be achieved if the product is shipped directly from the source to the sink. This forms that basis for the conclusions and recommendations of the research.

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“…The multi-objective transshipment problem (MOTP) is another model that was studied by Das et al [17], Abd El-Wahed [18], Saraj and Mashkoorzadeh [19] and Malakooti [20].…”

Section: Literature Reviewmentioning

confidence: 99%

A Transshipment Model of Seven-Up Bottling Company, Benin Plant, Nigeria

Agadaga¹,

Akpan²

2019

AJOR

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“…Some researchers [10], [11], [12], [13], [14], [15], [16], [17] discussed the solution of fuzzy transportation problems with various fuzzy numbers. Saman et al [18] introduced an optimal solution of full fuzzy transportation problems using total integral ranking function value and fuzzy numbers. Jahirhussain et al [19] proposed a new solution of the vector fuzzy transportation problem with interval integer form.…”

Section: Introductionmentioning

confidence: 99%

An Optimal Algorithm for a Fuzzy Transportation Problem

Mitlif¹,

Rasheed²,

Shihab³

2020

Journal of Southwest Jiaotong University

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This paper deals with the optimal approximate solution to a special type of optimization problem called a fuzzy transportation problem using pentagonal fuzzy numbers. The values of the cost, supply, and demand for fuzzy transportation problems are taken as pentagonal fuzzy numbers. The pentagonal fuzzy numbers are converted into crisp values using a novel suggested ranking function. By comparing this with the conventional ranking methods, we can achieve better results with the aid of the proposed new ranking method. Vogel’s Approximation Method is then applied to obtain the solution. Several experiments have been conducted in order to investigate the suggested technique.

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Solving a Multi Objective Transportation Problem(MOTP) Under Fuzziness on Using Interval Numbers

Cited by 2 publications

References 0 publications

A Transshipment Model of Seven-Up Bottling Company, Benin Plant, Nigeria

A Transshipment Model of Seven-Up Bottling Company, Benin Plant, Nigeria

An Optimal Algorithm for a Fuzzy Transportation Problem

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