scholarly journals An approach to solve multi-objective linear production planning games with fuzzy parameters

2018 ◽  
Vol 28 (2) ◽  
pp. 237-248
Author(s):  
Hamid Bigdeli ◽  
Hassan Hassanpour

In this research, n-person cooperative games, arising from multi-objective linear production planning problem with fuzzy parameters, are considered. It is assumed that the fuzzy parameters are fuzzy numbers. The fuzzy multi-objective game problem is transformed to a single-objective game problem by group AHP method. The obtained problem is converted to a problem with interval parameters by considering the nearest interval approximation of the fuzzy numbers. Then, optimistic and pessimistic core concepts are introduced. The payoff vectors of the players are obtained by the duality theorem of linear programming. Finally, validity and applicability of the method are illustrated by a practical example.

Algorithms ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 143 ◽  
Author(s):  
Kamal ◽  
Gupta ◽  
Chatterjee ◽  
Pamucar ◽  
Stevic

This paper deals with the modeling and optimization of a bi-level multi-objective production planning problem, where some of the coefficients of objective functions and parameters of constraints are multi-choice. A general transformation technique based on a binary variable has been used to transform the multi-choices parameters of the problem into their equivalent deterministic form. Finally, two different types of secularization technique have been used to achieve the maximum degree of individually membership goals by minimizing their deviational variables and obtained the most satisfactory solution of the formulated problem. An illustrative real case study of production planning has been discussed and, also compared to validate the efficiency and usefulness of the proposed work.


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