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Conference Papers Year : 2021

Reactive Scheduling by Intelligent DSS


Agile manufacturing is in practice by many companies. In agile manufacturing environments, it is important for companies to make quick response to the changes in the environments. This paper proposes an intelligent decision support system (DSS) for reactive scheduling to handle disturbances in agile manufacturing environments. The intelligent decision support system integrates a knowledge-based system for intelligent and multiple criteria decision-making. The intelligent DSS includes three basic modules, the database module, the model base module, and the interface module. The framework of the intelligent DSS is presented. The objective-oriented data model, the knowledge-based rules, and rule induction are designed. The reactive scheduling algorithm is developed. Radio frequency identification and knowledge acquisition tools are applied by the intelligent DSS. The intelligent DSS can be implemented by applying contemporary information technology and can provide an approach to make reactive production scheduling decisions quickly to handle disturbances for manufacturing firms to obtain competitive advantage and agility.
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Dates and versions

hal-04030359 , version 1 (15-03-2023)





Yumin He, Yaohu Lin, Hongbo Liu, Mengpeng Guo. Reactive Scheduling by Intelligent DSS. IFIP International Conference on Advances in Production Management Systems (APMS), Sep 2021, Nantes, France. pp.267-274, ⟨10.1007/978-3-030-85874-2_28⟩. ⟨hal-04030359⟩
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