A new fuzzy programming technique approach to solve fuzzy transportation problem

Author(s):  
Dalbinder Kaur ◽  
Sathi Mukherjee ◽  
Kajla Basu

2011 ◽  
Vol 2011 ◽  
pp. 1-19 ◽  
Author(s):  
Hale Gonce Kocken ◽  
Mehmet Ahlatcioglu

This paper deals with the Multiobjective Linear Transportation Problem that has fuzzy cost coefficients. In the solution procedure, many objectives may conflict with each other; therefore decision-making process becomes complicated. And also due to the fuzziness in the costs, this problem has a nonlinear structure. In this paper, fuzziness in the objective functions is handled with a fuzzy programming technique in the sense of multiobjective approach. And then we present a compensatory approach to solve Multiobjective Linear Transportation Problem with fuzzy cost coefficients by using Werner's operator. Our approach generates compromise solutions which are both compensatory and Pareto optimal. A numerical example has been provided to illustrate the problem.



2010 ◽  
Vol 2 (1) ◽  
pp. 46-52 ◽  
Author(s):  
Bodkhe SG ◽  
◽  
Bajaj VH ◽  
Dhaigude RM


Author(s):  
Vandana Y. Kakran ◽  
Jayesh M. Dhodiya

This paper investigates a multi-objective capacitated solid transportation problem (MOCSTP) in an uncertain environment, where all the parameters are taken as zigzag uncertain variables. To deal with the uncertain MOCSTP model, the expected value model (EVM) and optimistic value model (OVM) are developed with the help of two different ranking criteria of uncertainty theory. Using the key fundamentals of uncertainty, these two models are transformed into their relevant deterministic forms which are further converted into a single-objective model using two solution approaches: minimizing distance method and fuzzy programming technique with linear membership function. Thereafter, the Lingo 18.0 optimization tool is used to solve the single-objective problem of both models to achieve the Pareto-optimal solution. Finally, numerical results are presented to demonstrate the application and algorithm of the models. To investigate the variation in the objective function, the sensitivity of the objective functions in the OVM model is also examined with respect to the confidence levels.



Author(s):  
Abdul Quddoos ◽  
Ummey Habiba

transportation problem (ITP) in which the cost-coefficients of the objective function, source and destination parameters are all in the form of interval. In this paper, the single objective interval transportation problem is transformed into an equivalent crisp bi-objective transportation problem where the left-limit and width of the interval are to be minimized. The solution to this bi-objective model is then obtained with the help of fuzzy programming technique. The proposed solution procedure has been demonstrated with the help of a numerical example. A comparative study has also been made between the proposed solution method and the method proposed by Das et al.(1999) .



2020 ◽  
Vol 87 (3-4) ◽  
pp. 178
Author(s):  
P. M. Paratane ◽  
A. K. Bit

This paper represents ordinary sensitivity analysis and tolerance approach to sensitivity analysis in supply and demand values of the multiobjective transportation problem. Our proposed approach allows simultaneous and independent changes in the supply and demand values. The aim of this paper is to find the ranges for each supply and demand value within which the changes can occur without affecting the current basis of the best compromise solution. We have used the best compromise solution obtained using fuzzy programming technique for the postoptimality analysis of the multiobjective transportation problem. The approach is illustrated by a numerical example.





2018 ◽  
Vol 9 (9) ◽  
pp. 1179-1186
Author(s):  
D. Stephen Dinagar ◽  
R. Keerthivasan






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