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Optimisation with multi-objective rule extraction for manufacturing management

Pehrsson, Leif ; Karlsson, Ingemar

International journal of manufacturing research, 2022, Vol.17 (4), p.452-475 [Periódico revisado por pares]

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Título:
Optimisation with multi-objective rule extraction for manufacturing management
Autor: Pehrsson, Leif ; Karlsson, Ingemar
Assuntos: data mining ; Decision support systems ; decision-support ; Industrial development ; Manufacturing ; manufacturing management ; Multiple objective analysis ; optimisation ; Optimization ; Production and Automation Engineering ; Produktion och automatiseringsteknik ; rule extraction ; simulation
É parte de: International journal of manufacturing research, 2022, Vol.17 (4), p.452-475
Descrição: Industry is foreseeing rapid developments in the ability to capture data within its manufacturing operations and the interest in methods for extracting knowledge from such data is increasing. Through digital representations of manufacturing operations, future scenarios can be modelled and developed with analysis tools based on simulation in combination with multi-objective optimisation. The results from such analysis tools may be challenging to interpret, especially when expanding the scope to searching for information patterns. An emerging multi-objective rule extraction method, with the ability to handle discrete input parameters, has been further developed towards integration in an intelligent decision support system. [Submitted 19 February 2020; Accepted 24 January 2021]
Editor: Geneva: Inderscience Publishers (IEL)
Idioma: Inglês

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