Technological advancements in the manufacturing and logistics space offer many opportunities to reduce waste, enhance resource efficiency, optimize processes, and more. At the same time, they pose numerous challenges, including a high carbon footprint, increased energy consumption, e-waste generation, transportation issues, and bias problems, among others, for sustainable business practices. Sustainable businesses are needed for several reasons, including environmental impact, and offer a more resilient and prosperous future for both businesses and the environment. Green AI helps address manufacturing and logistics challenges by reducing emissions, improving efficacy, and optimizing resource utilization. It fosters innovation while encouraging sustainability and a greener future. It further supports businesses in aligning with environmental goals and augmenting their competitiveness.

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Role of Green Artificial Intelligence in Manufacturing and Logistics

  • Udaya Shankar C.N.,
  • Lars Fischer,
  • P. Bhanumathi

摘要

Technological advancements in the manufacturing and logistics space offer many opportunities to reduce waste, enhance resource efficiency, optimize processes, and more. At the same time, they pose numerous challenges, including a high carbon footprint, increased energy consumption, e-waste generation, transportation issues, and bias problems, among others, for sustainable business practices. Sustainable businesses are needed for several reasons, including environmental impact, and offer a more resilient and prosperous future for both businesses and the environment. Green AI helps address manufacturing and logistics challenges by reducing emissions, improving efficacy, and optimizing resource utilization. It fosters innovation while encouraging sustainability and a greener future. It further supports businesses in aligning with environmental goals and augmenting their competitiveness.