医疗保健供应链中数据驱动的库存管理

IF 3.2 Q2 MANAGEMENT

Journal of Humanitarian Logistics and Supply Chain Management Pub Date : 2020-01-01 DOI:10.4018/978-1-5225-0956-1.CH005

Shuojiang Xu, K. Tan

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引用次数: 6

摘要

从21世纪开始，企业将供应链管理与大数据相结合，提高产品和服务水平。在中国的医疗保健行业，由于环境的复杂性(如政策变化和许可证延迟)，供应链决策是基于经验做出的。迫切需要一种灵活、动态的大数据驱动的供应链决策分析方法。本报告以库存数据的CRT预测模型为例，基于过往交易数据预测市场需求。首先，应用了基本的统计方法来表示表面模式并提出一些决策。在此基础上，建立了基于几个自变量的CRT模型。并将CRT模型与CHAID模型进行比较，选择较好的模型，进一步构建改进模型。最后提出了研究的局限性和今后的工作。

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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Data-Driven Inventory Management in the Healthcare Supply Chain

From 21st century, enterprises combine supply chain management with big data to improve their products and services level. In China healthcare industry, supply chain decisions are made based on experience, due to the environment complexities, such as changing policies and license delay. A flexible and dynamic big data driven analysis approach for supply chain decisions is urgently required. This report demonstrates a case study on CRT forecasting model of inventory data to predict the market demand based on pervious transaction data. First a basic statistic approach has been applied to represent the superficial patterns and suggest some decisions. After that a CRT model has been built based on the several independent variables. And there is also a comparison between CRT and CHAID models to choose a better one to further build an improved model. Finally some limitations and future work have been proposed.

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来源期刊

Journal of Humanitarian Logistics and Supply Chain Management MANAGEMENT-

CiteScore

6.40

自引率

20.00%

发文量

期刊介绍： The Journal of Humanitarian Logistics and Supply Chain Management (JHLSCM) is targeted at academics and practitioners in humanitarian public and private sector organizations working on all aspects of humanitarian logistics and supply chain management. The journal promotes the exchange of knowledge, experience and new ideas between researchers and practitioners and encourages a multi-disciplinary and cross-functional approach to the resolution of problems and exploitations of opportunities within humanitarian supply chains. Contributions are encouraged from diverse disciplines (logistics, operations management, process engineering, health care, geography, management science, information technology, ethics, corporate social responsibility, disaster management, development aid, public policy) but need to have a logistics and/or supply chain focus. JHLSCM publishes state of the art research, utilizing both quantitative and qualitative approaches, in the field of humanitarian and development aid logistics and supply chain management.