确定全渠道环境下的安全库存

IF 0.9 Q4 MANAGEMENT International Journal of Information Systems and Supply Chain Management Pub Date : 2020-04-01 DOI:10.4018/ijisscm.2020040104

Thi-Ngan Pham, A. Tan, Alvin P. Ang

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引用次数: 1

摘要

本文的目的是确定全渠道环境下的安全库存。提出“平方根法”(仓储设施集中化)，将线上和线下渠道的安全库存结合起来。利用电子表格程序进行了模拟研究，并基于评审时间、提前期和安全系数创建了三种情景。这是基于产品需求分布的平均需求和标准偏差。研究发现，提前期和评审时间的总和在决定安全库存数量方面具有重要意义，而需求变化是决定安全库存数量的关键因素。提出了在全渠道环境下降低安全库存的建议。

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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Determining Safety Stock for an Omni-Channel Environment

The purpose of this article is to determine the safety stock for an omni-channel environment. The “Square Root Law” (for centralization of storage facilities) was proposed to combine the safety stock for both online and offline channels. A simulation study was conducted using a spreadsheet program and three scenarios were created based on review time, lead time and safety factor. This was based on the mean demand and standard deviation of the product's demand distribution. The study found that the sum of lead time and review time are significant in determining the amount of safety stock, and demand variability is a crucial determinant for safety stock. Recommendations are provided as guidelines for lowering the amount of safety stock in omni-channel environment.

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来源期刊

International Journal of Information Systems and Supply Chain Management MANAGEMENT-

CiteScore

1.90

自引率

43.80%

发文量

期刊介绍： The International Journal of Information Systems and Supply Chain Management (IJISSCM) provides a practical and comprehensive forum for exchanging novel research ideas or down-to-earth practices which bridge the latest information technology and supply chain management. IJISSCM encourages submissions on how various information systems improve supply chain management, as well as how the advancement of supply chain management tools affects the information systems growth. The aim of this journal is to bring together the expertise of people who have worked with supply chain management across the world for people in the field of information systems.