Data-Driven Inventory Management in the Healthcare Supply Chain

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Author(s): Shuojiang Xu (University of Nottingham, UK)and Kim Hua Tan (University of Nottingham, UK)
Copyright: 2020
Pages: 14
Source title: Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-7998-0945-6.ch067

Keywords: Business & Management / Business Science Reference / Operations and Service Management / Supply Chain Management

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Abstract

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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Data-Driven Inventory Management in the Healthcare Supply Chain

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