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Technical Paper

Artificial Intelligence Support for Smart Logistics Systems in Industrial Environments

2022-03-29
2022-01-0347
This paper investigates new roles of stakeholders in the context of the migration of circular value creation based on a collaborative model of logistic systems in an industrial environment. The evolving nature of supply networks and the underlying information systems as well as advances in technology drive the application of artificial intelligence (AI) in this context. The paper thus aims to harmonize and optimize the combination of classical methods with those of AI in hybrid planning and development systems. For this purpose, the connection of the design of the roles with the logistic processes in terms of a unified modeling is established. The design of the roles enables the generation of smart solutions in logistics. Aspects of data acquisition, data preparation, data storage, data analysis and data quality are considered to make qualified statements on the maturity level of AI support for logistics systems.
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