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• W2300936992 abstract "In this paper, a two-warehouse inventory problem has been investigated under inflation with different deterioration effects in two separate warehouses (rented warehouse, RW, and owned warehouse, OW). The objective of this investigation is to determine the lot-size of the cycle of the two-warehouse inventory system by minimizing the average cost of the system. Considering different inventory policies, the corresponding models have been formulated for linear trend in demand and interval valued cost parameters. In OW, shortages, if any, are allowed and partially backlogged with a variable rate dependent on the duration of the waiting time up to the arrival of the next lot. The corresponding optimization problems have been formulated as non-linear constrained optimization problems with interval parameters. These problems have been solved by an efficient soft computing method, viz. practical swarm optimization. To illustrate the model, a numerical example has been solved with different partially backlogging rates. Then to study the effect of changes of different system parameters on the optimal policy, sensitivity analyses have been carried out graphically by changing one parameter at a time and keeping the others at their original values. Finally, a fruitful conclusion has been reached regarding the selection of an appropriate inventory policy of the two-warehouse system." @default.
• W2300936992 created "2016-06-24" @default.
• W2300936992 creator A5046327670 @default.
• W2300936992 creator A5048665354 @default.
• W2300936992 date "2016-02-24" @default.
• W2300936992 modified "2023-10-01" @default.
• W2300936992 title "Investigation of two-warehouse inventory problems in interval environment under inflation via particle swarm optimization" @default.
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• W2300936992 doi "https://doi.org/10.1080/13873954.2016.1150860" @default.
• W2300936992 hasPublicationYear "2016" @default.
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