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Industrial digital ecosystems: Predictive models and architecture development issues
Annual Reviews in Control ( IF 7.3 ) Pub Date : 2020-12-02 , DOI: 10.1016/j.arcontrol.2020.11.001
Natalia Bakhtadze , Alexander Suleykin

The concept of digital ecosystem (DES) is widely used in autonomous manufacturing process control and the development of complex, stable, interactive, self-organizing and reliable management systems for various industries. The paper offers a concept of DES control system architecture based on predictive models. For estimating and predicting the state of resources in production processes, an approach is developed using data mining based model generation. The paper also reviews the current state of research in the field of DES and their applications in supply chain management (SCM).



中文翻译:

工业数字生态系统:预测模型和架构开发问题

数字生态系统(DES)的概念广泛应用于自主制造过程控制以及为各行业开发复杂、稳定、交互、自组织和可靠的管理系统。本文提出了基于预测模型的 DES 控制系统架构的概念。为了估计和预测生产过程中的资源状态,开发了一种使用基于数据挖掘的模型生成方法。本文还回顾了 DES 领域的研究现状及其在供应链管理 (SCM) 中的应用。

更新日期:2020-12-02
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