Optimizing sustainable reverse logistic networks: a case study of medical waste using the genetic artificial bee colony algorithm

The technological and industrial revolution that the world has witnessed in recent decades has greatly improved the standard of living and simplified daily life. However, this progress has simultaneously led to the emergence of environmental concerns due to high rates of pollution and the mismanagem...

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Veröffentlicht in:	International journal on interactive design and manufacturing 2024-08, Vol.18 (6), p.4263-4284
Hauptverfasser:	Elliazidi, Sara, Dkhissi, Btissam
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bees CAE) and Design Carbon dioxide Carbon dioxide emissions Carbon footprint Case studies Circular economy Computer-Aided Engineering (CAD Costs Design optimization Economic impact Electronics and Microelectronics Emissions Engineering Engineering Design Environmental conditions Environmental management Garbage collection Greenhouse gases Health care facilities Health facilities Industrial Design Instrumentation Linear programming Mathematical programming Mechanical Engineering Medical laboratories Medical wastes Multiple objective analysis Natural resources Optimization Original Article Pandemics Plastics Polyethylene terephthalate Population growth Public health Recycling Reverse logistics Search algorithms Standard of living Supply chains Sustainability Sustainable development Swarm intelligence Waste management Waste materials
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