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Production Planning Using Fuzzy Meta–Goal Programming Model


Affiliations
1 Associate Professor, Department of Mathematics, M.M.H. College, Ghaziabad-201001, Affiliated: C.C.S. University, Meerut (U.P.), Pin-250001, India., India
2 Associate Professor, Department of Mathematics, C.C.S. University, Meerut (U.P.), Pin-250001, India, India
3 Assistant Professor, Institute of Management Studies, Ghaziabad (UP) (Research Scholar, Banasthali University, Rajasthan, India), India
 

Production planning using fuzzy meta-goal programming model in a manufacturing plant is the focus of this paper. This technique is used for determining the number of units to be produced and hence sold within the given restrictions. The decision-maker is given flexibility by means of meta-goals in expressing their preferences. Here, three types of meta-goals are considered which are assumed to have fuzzy bounds to manipulate the degree of attainment for the prioritised goals. Further, LINDO 11.0 optimizer solver is used to draw results of the problem.


Keywords

Production Planning, Goal Programming, Meta-Goal Programming, Fuzzy Meta- Goal Programming
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  • Production Planning Using Fuzzy Meta–Goal Programming Model

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Authors

A.K. Bhargava
Associate Professor, Department of Mathematics, M.M.H. College, Ghaziabad-201001, Affiliated: C.C.S. University, Meerut (U.P.), Pin-250001, India., India
S.R. Singh
Associate Professor, Department of Mathematics, C.C.S. University, Meerut (U.P.), Pin-250001, India, India
Divya Bansal
Assistant Professor, Institute of Management Studies, Ghaziabad (UP) (Research Scholar, Banasthali University, Rajasthan, India), India

Abstract


Production planning using fuzzy meta-goal programming model in a manufacturing plant is the focus of this paper. This technique is used for determining the number of units to be produced and hence sold within the given restrictions. The decision-maker is given flexibility by means of meta-goals in expressing their preferences. Here, three types of meta-goals are considered which are assumed to have fuzzy bounds to manipulate the degree of attainment for the prioritised goals. Further, LINDO 11.0 optimizer solver is used to draw results of the problem.


Keywords


Production Planning, Goal Programming, Meta-Goal Programming, Fuzzy Meta- Goal Programming



DOI: https://doi.org/10.17485/ijst%2F2015%2Fv8i34%2F124070