In general, a supplier/retailer frequently offer trade credit to stimulate their respective sales. The main purpose of this paper is to investigate the optimal supplier/retailer’s replenishment decisions under two le...In general, a supplier/retailer frequently offer trade credit to stimulate their respective sales. The main purpose of this paper is to investigate the optimal supplier/retailer’s replenishment decisions under two levels of trade credit policy within the economic order quantity (EOQ) framework. This paper deals with the supplier/retailer’s inventory replenishment problem under two levels of trade credit in one replenishment cycle. A different approach of two levels of trade credit is used, which give more freedom to the supplier/retailer in business. In addition, the easy-to-use procedure is developed to efficiently find the optimal cycle time for the retailer under minimizing annual total relevant cost. Finally, a numerical example is given to illustrate these results.展开更多
This study investigates the effect of learning in fuzziness by considering fuzzy demand in theEOQ model for deteriorating items under a finite time horizon.The crisp equivalent form of the fuzzy objective function is ...This study investigates the effect of learning in fuzziness by considering fuzzy demand in theEOQ model for deteriorating items under a finite time horizon.The crisp equivalent form of the fuzzy objective function is obtained by employing the centroid method.Using calculus,the number of replenishments which optimizes the fuzzy objective function is derived.The model is extended by applying learning in fuzziness and an algorithm is developed to determine the number of replenishments.Numerical illustrations are provided for the model under a crisp,fuzzy and fuzzylearning environment.Numerical results reveal that the cost is lower with learning in fuzziness than that of without learning in fuzziness.Besides,results indicate that the learning in fuzziness is more effective whenever the parameter has higher impreciseness in the estimation of its value.展开更多
缺货问题是库存管理中常见问题之一。现有的库存控制模型通常采用延期满足或依靠安全库存来解决缺货的情况。然而,延期满足会对顾客体验和企业形象产生负面影响,可能引发顾客抱怨和需求转移等风险。本文发现允许缺货和不合格品的经济订...缺货问题是库存管理中常见问题之一。现有的库存控制模型通常采用延期满足或依靠安全库存来解决缺货的情况。然而,延期满足会对顾客体验和企业形象产生负面影响,可能引发顾客抱怨和需求转移等风险。本文发现允许缺货和不合格品的经济订货数量(Economic Order Quantity,EOQ)模型在一个特定的允许缺货和不合格品的库存系统中,其年缺货量是一个确定的值。首先,引入转运思想,将基础模型中的缺货量转化为增加一次订货的转运来满足需求。通过对基础模型进行改进,在以最小化库存总成本为目标的基础上,平衡库存成本的构成,构建一种允许缺货和不合格品的改进转运EOQ模型。该模型旨在减少缺货损失,及时有效地满足顾客需求,并优化库存成本。然后,分析比较了模型改进前后转运对库存成本的影响,并确定了改进转运EOQ模型的实施条件,即缺货成本不小于缺货量的持有成本与转运订货成本之和。最后,通过算例验证了本文提出模型的可行性和有效性。研究结果表明,适量的缺货可以降低库存成本。通过转运将缺货成本转化为订货成本和持有成本,可以进一步降低允许缺货和不合格品EOQ模型的库存成本,并避免缺货发生。这对于进一步降低库存成本、减少缺货损失、及时满足需求以减少需求转移风险非常有利,同时也提供了一种降低库存成本的新思路。展开更多
文摘In general, a supplier/retailer frequently offer trade credit to stimulate their respective sales. The main purpose of this paper is to investigate the optimal supplier/retailer’s replenishment decisions under two levels of trade credit policy within the economic order quantity (EOQ) framework. This paper deals with the supplier/retailer’s inventory replenishment problem under two levels of trade credit in one replenishment cycle. A different approach of two levels of trade credit is used, which give more freedom to the supplier/retailer in business. In addition, the easy-to-use procedure is developed to efficiently find the optimal cycle time for the retailer under minimizing annual total relevant cost. Finally, a numerical example is given to illustrate these results.
文摘This study investigates the effect of learning in fuzziness by considering fuzzy demand in theEOQ model for deteriorating items under a finite time horizon.The crisp equivalent form of the fuzzy objective function is obtained by employing the centroid method.Using calculus,the number of replenishments which optimizes the fuzzy objective function is derived.The model is extended by applying learning in fuzziness and an algorithm is developed to determine the number of replenishments.Numerical illustrations are provided for the model under a crisp,fuzzy and fuzzylearning environment.Numerical results reveal that the cost is lower with learning in fuzziness than that of without learning in fuzziness.Besides,results indicate that the learning in fuzziness is more effective whenever the parameter has higher impreciseness in the estimation of its value.
文摘缺货问题是库存管理中常见问题之一。现有的库存控制模型通常采用延期满足或依靠安全库存来解决缺货的情况。然而,延期满足会对顾客体验和企业形象产生负面影响,可能引发顾客抱怨和需求转移等风险。本文发现允许缺货和不合格品的经济订货数量(Economic Order Quantity,EOQ)模型在一个特定的允许缺货和不合格品的库存系统中,其年缺货量是一个确定的值。首先,引入转运思想,将基础模型中的缺货量转化为增加一次订货的转运来满足需求。通过对基础模型进行改进,在以最小化库存总成本为目标的基础上,平衡库存成本的构成,构建一种允许缺货和不合格品的改进转运EOQ模型。该模型旨在减少缺货损失,及时有效地满足顾客需求,并优化库存成本。然后,分析比较了模型改进前后转运对库存成本的影响,并确定了改进转运EOQ模型的实施条件,即缺货成本不小于缺货量的持有成本与转运订货成本之和。最后,通过算例验证了本文提出模型的可行性和有效性。研究结果表明,适量的缺货可以降低库存成本。通过转运将缺货成本转化为订货成本和持有成本,可以进一步降低允许缺货和不合格品EOQ模型的库存成本,并避免缺货发生。这对于进一步降低库存成本、减少缺货损失、及时满足需求以减少需求转移风险非常有利,同时也提供了一种降低库存成本的新思路。
