Multiobjective Optimization in Distributed Industry and Environmental Sustainability: a Systematic Literature Review

Francisco dos Santos; Lino Costa; Leonilde Varela

doi:10.54580/R0502.10

Autores/as

Francisco dos Santos University of Minho Autor/a https://orcid.org/0000-0001-8621-615X
Lino Costa University of Minho Autor/a https://orcid.org/0000-0003-4772-4404
Leonilde Varela University of Minho Autor/a https://orcid.org/0000-0002-2299-1859

DOI:

https://doi.org/10.54580/R0502.10

Palabras clave:

Optimización multiobjetivo, Industria Distribuida, Contaminación Medioambiental, Sostenibilidad

Resumen

Con el crecimiento de la industrialización, los investigadores también se han preocupado cada vez más por la protección del medio ambiente. Las cuestiones medioambientales han sido uno de los problemas y uno de los objetivos a considerar cuando se trata de problemas de escalado de la producción, principalmente la minimización del consumo de energía, y la minimización de las emisiones de carbono, así como otros varios objetivos a optimizar. Se han creado medidas que presionan a las organizaciones para que presten más atención al medio ambiente, junto con otras medidas, no sólo económicas, sino también sociales. Una buena programación de la producción permite a las organizaciones tener más éxito en los negocios, ya que contribuye a mejorar el medio ambiente y la sociedad. Por ello, la búsqueda de procesos que permitan una toma de decisiones más eficaz y eficiente se está convirtiendo en un tema de estudio de suma importancia. La sostenibilidad es actualmente un reto urgente para la ingeniería y las organizaciones. Una de las formas de contribuir a sistemas de fabricación más sostenibles es el desarrollo de tecnologías inteligentes y la puesta en común de los sistemas de fabricación. Este artículo estudia la bibliografía sobre los enfoques de programación de la producción en empresas distribuidas y sus posibles beneficios para el medio ambiente y la sociedad, además de los económicos. De este modo, la optimización de medidas medioambientales, sociales y económicas en la planificación y programación de la producción en contextos de empresas extendidas, utilizando enfoques basados en la optimización multiobjetivo, es un objetivo principal de este trabajo.

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