Single - Stage Fuzzy Economic Inventory Models with Backorders and Rework Process for Imperfect Items

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D.Stephen Dinagar, M.Manvizhi


The skill of retaining inventory is most essential for business entrepreneurs to diminish the total expenditure. Due to lack of accurateness and the presence of uncertainty among the parameters of the inventory models leads to fuzzify the parameters. In this paper, we studied the economic manufacture quantity (EMQ) model with backorders and rework processes for imperfect items at a single-stage manufacturing system through generalized quadrilateral fuzzy numbers (GQFNs). Fuzziness is involved by permitting the assumptions and respective solutions of the model in the version of GQFNs. A Numerical example is also provided to reveal the reliability of the model by comparing it with the solution of the classical model.

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