Machine Learning for Warehouse Management: A conceptual framework

Ghaouta, Ayoub; Riad, Meriem; Okar, Chafik

doi:10.1109/tst52996.2021.00012

Cited by 3 publications

(1 citation statement)

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“…[21] described some of threats of using ML techniques in two exemplary selected application areas: smart agriculture and smart health. Furthermore, [22] tried to compare the fuzzy optimization model and robust model decision-making for the sustainable development .It is clear that many works have tried to provide practical and conceptual frameworks to do adopting of ML techniques in the industry especially in the supply chain area, is the case of authors in [23] and [24]. Many works tried to analyze directly the use of Data Analytics in the achievement of Sustainable development Goals , as it was the case of [25].…”

Section: Resultsmentioning

confidence: 99%

The contribution of using Artificial Intelligence in the Sustainable Development

2024

IJFMR

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New strategies arising from the accessibility of internet and the growth of all types of digital technologies have allowed to major gains and improved the development of many sectors. Machine Learning is one of the prominent technologies of Artificial Intelligence that ensure the improvement of many sectors in the international economy and encourage the decision making at all levels. In other sides, the current demands for sustainable development have led to a pressing need to encourage more sustainable land use and industrial development to maintain quality of life. To this end, governments, through the word, have tried to achieve the objectives of the millennium within the framework of the Development Goals Sustainable (ODS). The adoption of the Machine Learning tools to achieve the Sustainable Development Goals seemed to provide a new directions, perspectives and opportunities for this realization. The present work seeks to investigate the adoption of a various ML techniques in the Sustainable Development. It allows discussing opportunities and challenges that ML gives for the realization of the Sustainable Development goals.

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