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针对具有时间敏感需求、现金折扣、缺货及允许延期付款情况的易腐物品的经济订货量(EOQ)结构创新方法

Innovative Approach of EOQ Structure for Decaying Items with Time Sensitive Demand, Cash- Discount, Shortages and Permissible Delay in Payments.

作者信息

Tripathi R P

机构信息

Department of Applied Sciences and Humanities, KNIT, Sultanpur, Uttar Pradesh India.

出版信息

Int J Appl Comput Math. 2021;7(3):77. doi: 10.1007/s40819-021-01003-8. Epub 2021 Apr 26.

DOI:10.1007/s40819-021-01003-8
PMID:33937442
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8074708/
Abstract

Growing business process and rising aggressive conditions are encouraged to use the inventory control scheme and components in an ideal way. Cash discount and permissible delay are beneficial for vendor and buyer both. This study considers an EOQ model through demand rate depends on the time. A lower or higher time leads to lower or higher demand after feedback vice versa. In this paper deterioration, cash- discount, shortages and permissible delay are also considered. Mathematical models are discussed under four different states of affair. Solution method is given for finding the finest answer. The main aim is to maximize total profit. Numerical examples are provided for all four dissimilar situations. Optimal values with strictures are calculated to analyze the sensitivity investigation of optimal strategy concerning the parameters of the system. It is revealed that the total income is concave by means of cycle time.

摘要

不断增长的业务流程和日益激烈的竞争环境促使人们以理想的方式使用库存控制方案和组件。现金折扣和允许延迟对供应商和买方都有利。本研究考虑了一种经济订货量(EOQ)模型,其中需求率取决于时间。反馈后,较低或较高的时间会导致较低或较高的需求,反之亦然。本文还考虑了变质、现金折扣、缺货和允许延迟等因素。在四种不同的情况状态下讨论了数学模型。给出了寻找最优解的求解方法。主要目标是使总利润最大化。针对所有四种不同情况提供了数值示例。计算了带有约束条件的最优值,以分析最优策略关于系统参数的敏感性研究。结果表明,总收益随周期时间呈凹形。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/5300be8816d4/40819_2021_1003_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/f48c09a949fb/40819_2021_1003_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/3e7410f3f6c2/40819_2021_1003_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/04fddecd85c8/40819_2021_1003_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/b518ad93ccd0/40819_2021_1003_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/dd92955bd6ce/40819_2021_1003_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/01e8c849d82b/40819_2021_1003_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/416332243828/40819_2021_1003_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/5300be8816d4/40819_2021_1003_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/f48c09a949fb/40819_2021_1003_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/3e7410f3f6c2/40819_2021_1003_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/04fddecd85c8/40819_2021_1003_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/b518ad93ccd0/40819_2021_1003_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/dd92955bd6ce/40819_2021_1003_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/01e8c849d82b/40819_2021_1003_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/416332243828/40819_2021_1003_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a8cd/8074708/5300be8816d4/40819_2021_1003_Fig8_HTML.jpg

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