Kumar Boina Anil, Paikray Susanta Kumar, Padhy Balaji
Department of Mathematics, Veer Surendra Sai University of Technology, Burla, Odisha India.
Centurion University of Technology and Management, Odisha, India.
Int J Appl Comput Math. 2022;8(4):165. doi: 10.1007/s40819-022-01374-6. Epub 2022 Jun 22.
Management of inventory and its control for the retailers involves the procurement and storage of items for the smooth functioning of day-to-day business affairs. The procurement of goods depends on lead time and the payment mechanism. Thus, these components have a vital role in the optimal strategy for inventory control and management. As a result, these two components have a very high priority in recent developments on inventory models. However, a few researchers investigated such inventory problems with the integration of these components. Also, most of the researchers overlooked the impreciseness of different parameters while developing the inventory models. Thus, it is highly required to consider lead-time, payment strategy, and the impreciseness of parameters for inventory problems to provide an insight into real practice. Therefore, keeping these aspects in view, we develop two inventory models for Weibull deteriorating items having selling-price-dependent demand with positive lead-time in prepayment, interim payment, and post-payment scenarios. In the first model (crisp), the inventory constraints and costs are assumed to be deterministic. However, in the second model (fuzzy), only cost parameters are considered as imprecise, and the rest are all deterministic in nature. We first describe the solution strategies for obtaining the optimality of both crisp and fuzzy models. Subsequently, we perform numerical experiments with various sets of inventory constraints to investigate the efficiency of the proposed models. Finally, through sensitivity analysis of crucial parameters, we provide a ready reference to managerial insights making essential decisions in handling various circumstances which arise during the inventory cycle due to alteration of different constraints or parameters.
零售商的库存管理及其控制涉及商品的采购和存储,以确保日常业务的顺利运作。商品采购取决于提前期和支付机制。因此,这些因素在库存控制与管理的优化策略中起着至关重要的作用。结果,这两个因素在库存模型的最新发展中具有非常高的优先级。然而,只有少数研究人员在整合这些因素的情况下研究此类库存问题。此外,大多数研究人员在开发库存模型时忽略了不同参数的不精确性。因此,为了深入了解实际情况,在研究库存问题时考虑提前期、支付策略和参数的不精确性是非常必要的。因此,考虑到这些方面,我们针对具有与销售价格相关的需求、在预付款、中期付款和后期付款场景下有正提前期的威布尔变质物品,开发了两个库存模型。在第一个模型(精确模型)中,假设库存约束和成本是确定性的。然而,在第二个模型(模糊模型)中,仅将成本参数视为不精确的,其余均为确定性的。我们首先描述获得精确模型和模糊模型最优性的求解策略。随后,我们对各种库存约束集进行数值实验,以研究所提出模型的效率。最后,通过对关键参数的敏感性分析,我们为管理决策提供了一个现成的参考,以便在库存周期中由于不同约束或参数的变化而出现各种情况时做出重要决策。