使用决策支持系统的供应链效率和有效性管理

Pub Date : 2022-06-01 DOI:10.4018/ijisscm.304824
Xiangyi Li
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引用次数: 0

摘要

在供应链管理中,决策支持系统和时间序列预测起着至关重要的作用。时间序列预测的准确性对每个供应链的性能优化至关重要。本文提出了一种基于状态空间模型(SSM)的结构化时间序列预测方法。决策支持系统(DSS)的技术和先进实现已经有了很大的改进。虽然技术进步使决策支持系统更加有效,但决策支持系统已被用作数据库、建模和用户界面的更有限的功能。Web开发促进了组织间的决策支持系统,并导致了当前技术的许多创新实现和许多新的决策技术。对多构型的研究表明,SSM和DSS是解决所研究问题的理想选择;特别是,DSS保证了适当的预测误差和正确的计算工作,以提供足够的客户订单计划。
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Supply Chain Efficiency and Effectiveness Management Using Decision Support Systems
In supply chain management, decision support systems and time series forecasting play an essential role. The accuracy of time-series predictions is critical for the performance optimization of every supply chain. This article suggests a method based on state-space modelling (SSM) for structured time series forecasting. Technology and advance implementations of decision support systems (DSS) have improved considerably. DSS has been used as a more restricted functionality of the database, modelling, and user interface, although technical advances made DSS even more effective. Web development has facilitated inter-organizational decision-making support systems and has resulted in many innovative implementations of current technology and many new decision-making technologies. The study of multiple configurations shows that the SSM and DSS are ideal for solving the problem being studied; in particular, the DSS guarantees appropriate prediction errors and a correct computational effort to provide adequate customer order plans.
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