基于多元高阶马尔可夫链的交货期需求分布研究

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2021-10-28 DOI:10.5755/j01.ee.32.4.27571
Jiahui Xu, Pin-Yang Liu, Xuemin Xu, Zhenni Huang, Wenshuang Zhao, Kwok Leung Tam, Aiping Jiang
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引用次数: 0

摘要

库存管理是供应链管理的重要组成部分:库存短缺会导致交货速度和响应速度降低,而库存过剩会导致库存和运营成本增加。因此,如何有效地控制库存已成为企业最关心的问题。根据历史数据拟合的交货期需求分布,选择合适的库存管理方法成为解决这一问题的关键准则。然而,基于有限的历史数据,很难直接确定交货时间的分布。因此,本报告介绍的方法使用多元高阶马尔可夫链来重建历史数据,以扩大用于拟合需求前置时间分布的数据量,这对库存管理具有重要意义。
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The Research on Distribution of Lead-Time Demand on the Basis of Multivariate Higher-Order Markov Chain
Inventory management is an important part of supply chain management: inventory shortages could result in reduced delivery speeds and response speeds while excess inventory could lead to increased inventory and operating costs. Therefore, finding ways to efficiently control inventory has become an issue companies are most concerned about. Choosing a proper inventory management method based on the lead-time demand distribution fitted from historical data has become the key criteria to solve this issue. However, it is difficult to determine the lead-time distribution based on the limited amount of historical data directly. Thus, the method this report introduces uses a multivariate higher-order Markov chain to reconstruct historical data in order to expand the amount of data used to fit the lead-time distribution of demand, which is significant for inventory management.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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