A model for fresh produce with inflation induced dynamic demand under dynamic trade credit policy in imprecise environments

Rituparna Mondal, Ranjan Kumar Jana
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Abstract

The significance of product freshness is heightened by the health-conscious market and the current circumstances. The quality of the product declines with time. In this case, the retailer implements a strategy of gradually reducing the selling price over time to mitigate the effects of product degradation. As a consequence, demand keeps growing over time. The demand for a product depends upon both its freshness and the price at which it is sold. In this research, a suggested retailer-customer supply chain for a fresh produce item is examined. The retailer implements a partial credit policy for the customer in order to increase the retailer’s order volume. The credit amount and credit period are found to be time-dependent in an increasing way. The optimal choice is determined by maximizing the total profit derived from the system. An optimization technique called particle swarm is developed, evaluated, and employed for the search process. According to the findings of this study, even if a merchant extends the credit term while a fresh product’s quality declines, overall profit will not improve since buyers would not jeopardize their health. A few examples are used to illustrate the concept.

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不精确环境下动态贸易信贷政策下通货膨胀诱发动态需求的生鲜农产品模型
在注重健康的市场和当前形势下,产品的新鲜度显得尤为重要。产品的质量会随着时间的推移而下降。在这种情况下,零售商采取的策略是随着时间的推移逐步降低销售价格,以减轻产品降级的影响。因此,需求量会随着时间的推移不断增长。对产品的需求既取决于产品的新鲜度,也取决于产品的销售价格。在本研究中,我们研究了一条建议的零售商-客户新鲜农产品供应链。零售商对客户实施部分赊销政策,以增加零售商的订单量。研究发现,赊销额和赊销期与时间相关,且呈递增趋势。最优选择取决于系统总利润的最大化。在搜索过程中,开发、评估和使用了一种名为粒子群的优化技术。根据这项研究的结果,即使商家在新鲜产品质量下降时延长信用期限,整体利润也不会提高,因为买家不会损害自己的健康。下面用几个例子来说明这一概念。
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