Design of Heterogeneous Data Warehouse Architecture for Supply Chain Management System

Ruiqin Lin, Wenan Tan, Pan Liu, Lu Zhang

2022

Abstract

Multiple systems are covered by the supply chain management system portal website, which includes tasks such as basic data entry, bill of lading generation, customs declaration, transportation, expenditure settlement, statistical reports, and more. Each system is spread among several departments, and data is kept by numerous departments at various phases. The storage format and semantics are vastly different. Data is complicated and varied, and data quality is challenging to ensure during the data integration process. Data is frequently lost, and storage types are incompatible with one another. As a result, appropriate technical solutions are required to ensure the supply chain management system’s data quality after data integration. This article focuses on the current state of the supply chain management system data and the issues that it faces. The business requirements for the unified and standardized storage of supply chain management system data are derived from the description of the challenges. Finally, it situates the primary issues discussed in this article within the framework of this company.

Paper Citation

in Harvard Style

Lin R., Tan W., Liu P. and Zhang L. (2022). Design of Heterogeneous Data Warehouse Architecture for Supply Chain Management System. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 441-445. DOI: 10.5220/0011183600003440

in Bibtex Style

@conference{bdedm22,
author={Ruiqin Lin and Wenan Tan and Pan Liu and Lu Zhang},
title={Design of Heterogeneous Data Warehouse Architecture for Supply Chain Management System},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={441-445},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011183600003440},
isbn={978-989-758-593-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - Design of Heterogeneous Data Warehouse Architecture for Supply Chain Management System
SN - 978-989-758-593-7
AU - Lin R.
AU - Tan W.
AU - Liu P.
AU - Zhang L.
PY - 2022
SP - 441
EP - 445
DO - 10.5220/0011183600003440