不同折扣政策下的不完善多仓库库存模型

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Decision Support System Technology Pub Date : 2022-01-01 DOI:10.4018/ijdsst.302646
Aastha Panwar, Sarla Pareek, Vinti Dhaka, M. Mittal
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引用次数: 0

摘要

建立了考虑短缺的多仓库库存模型,该模型以需求为确定性。在现实中,在生产过程中,如果机器长时间工作,可能会出现随机故障,系统从受控状态切换到失控状态,在此期间生产系统会产生次品。零售商在商品的售价上提供全单位数量的折扣,作为回报,零售商在商品的购买价格上获得基于数量的折扣。该模型的动机是研究基于数量折扣的不完美商品的多仓库模型,在该模型中,不完美商品可以筛选并分批销售,决策变量分别为最优订货数量和最优缺货数量,以使零售商的总利润最大化。给出了求解最优解的程序,并给出了数值算例。通过灵敏度分析研究了参数值变化对最优解的影响。
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An Imperfect Inventory Model for Multi-Warehouses Under Different Discount Policies With Shortages
A multi-warehouse inventory model with shortage has been developed where demand is taken as deterministic. In reality, during production, if the machine works for a long time there may be a random breakdown and the system shifts from controlled to out of the controlled situation, in this time production system produces defective items. The retailer offers an all-unit quantity discount on the selling price of the item who in return gets a quantity-based discount on the purchase price of the item. The motive of this model is to study a multi-warehouse model for imperfect items under a quantity-based discount, where the defectives can be screened and then can be sold in a single batch where the decision variables are set as optimal ordering quantity and optimal shortage quantity, to maximize the total profit of the retailer. A solution procedure is given to find the optimal solution and a numerical example is given to illustrate this study. Sensitivity analysis is also performed to study the effect of the changes in parameter values on the optimal solution.
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来源期刊
International Journal of Decision Support System Technology
International Journal of Decision Support System Technology COMPUTER SCIENCE, INFORMATION SYSTEMS-
CiteScore
2.20
自引率
18.20%
发文量
40
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