库存模型的时间-价格折扣-广告依赖需求与信贷政策的最优分析

IF 4.4 3区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Annals of Operations Research Pub Date : 2024-07-29 DOI:10.1007/s10479-024-06175-2
Chandra Shekhar, Vijender Yadav, Ankur Saurav
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引用次数: 0

摘要

有效管理允许的付款延迟和信贷利息是财务库存控制的一个重要方面。本研究以易腐烂和非易腐烂存货项目管理为背景,深入探讨了可接受的信贷条款、允许的付款延迟和逾期付款利率等付款政策。我们研究的主要目的是制定一个总成本最小化问题,考虑到时间、价格折扣和广告依赖的需求模式,模拟现实世界的情况,确定最佳周期时间和订购数量。在当今竞争激烈的市场中,确定最佳订购政策和定价策略至关重要。供应商会采用各种策略(包括对零售商的激励措施和广告)来促进销售。我们特别研究了在贸易信贷政策框架内允许的付款延迟的影响,这对企业大有裨益。此外,我们的模型还纳入了一些实际因素,如部分积压短缺、销售损失、瞬时补货、无限时间跨度和恒定提前期。本文的目的是开发先进的库存模型,考虑到受时间、价格折扣和广告影响的需求模式,同时纳入易腐烂和非易腐烂物品的贸易信贷政策。通过分析目标函数,我们得出了库存问题中各种情况的最佳解决方案。我们提出了一种 SGO(基于蜂群的全局优化)算法,以证明所开发模型的适用性,并最大限度地降低零售商的总成本。此外,我们还对易腐物品和非易腐物品的贸易信贷政策进行了比较分析,以突出它们各自的影响。我们提供了大量数字示例来验证我们的统计独立过程,并对每个非线性目标函数的凸性进行了图形分析。我们的研究结果强调了每个参数对拟议模型中最优总成本的重大影响。研究结果表明,随着需求对价格、时间和广告的敏感度越来越高,库存管理中的协调效益会显著增强,尤其是在与贸易信贷政策相结合的情况下。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Optimal analysis of time-price discount-advertisement dependent demand with credit policy for inventory models

The effective management of permissible payment delays and credit interest is a crucial aspect of financial inventory control. This research delves into payment policies such as acceptable credit terms, permissible payment delays, and interest rates on overdue payments in the context of managing perishable and non-perishable inventory items. The primary aim of our study is to formulate a total cost minimization problem with respect to optimal cycle time and ordering quantities, considering time-, price discount-, and advertisement-dependent demand patterns to simulate real-world scenarios. In today’s highly competitive market, determining optimal ordering policies and pricing strategies is paramount. Suppliers employ various tactics, including incentives for retailers and advertising, to boost sales. We specifically examine the impact of permissible payment delays within the framework of trade-credit policies, which can significantly benefit businesses. Additionally, our model incorporates practical elements such as partial backlogged shortages, lost sales, instantaneous replenishment, an infinite time horizon, and constant lead times. The objective of the current paper is to develop advanced inventory models that account for demand patterns influenced by time, price discounts, and advertisements, while incorporating trade-credit policies for both perishable and non-perishable items. By analyzing the objective functions, we derive optimal solutions for various scenarios within the inventory problem. An SGO (Swarm-based Global Optimization) algorithm is proposed to demonstrate the applicability of the developed models and to minimize the retailer’s total costs. Additionally, a comparative analysis of trade-credit policies for perishable and non-perishable items is conducted to highlight their respective impacts. We provide numerous numerical examples to validate our statistically independent processes and offer graphical analyses of the convexity of each nonlinear objective function. Our findings emphasize the substantial influence of each parameter on the optimal total cost within the proposed model. The findings indicate that as demand becomes increasingly sensitive to price, time, and advertisement, the benefits of coordination in inventory management are significantly enhanced, particularly in conjunction with trade-credit policies.

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来源期刊
Annals of Operations Research
Annals of Operations Research 管理科学-运筹学与管理科学
CiteScore
7.90
自引率
16.70%
发文量
596
审稿时长
8.4 months
期刊介绍: The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications. In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.
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