An Insight into AI and ICT Towards Sustainable Manufacturing

Omolayo M. Ikumapayi, Opeyeolu T. Laseinde, Temitayo S. Ogedengbe, Sunday A. Afolalu, Adebayo T. Ogundipe, Esther T. Akinlabi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Artificial intelligence’s value has increased in recent years. Artificial intelligence (AI) backed by big data analytics has expanded over the past few years. According to reports and reviews, artificial intelligence structured on large volumes of data analytics and information and communications technology has the potential to greatly improve supply chain performance; however, research into the reasons why companies engage in manufacturing activities and the novel artificial intelligent systems is limited. It is in this regard that this study has been carried out. To this end, several theoretical approaches have been proposed as explanations for how manufacturing businesses generate valuable resources and worker skills to impose innovation and enhance circular economy proficiency. The goal of this study is to gain approval for an intellectual concept that explains how institutional pressures on resources affect the implementation of big data in artificial intelligence, as well as its influence on sustainable manufacturing and the model of production and consumption proficiency when regulating the effects of industrial flexibility and industry effectiveness. We believe that if companies want to see a meaningful return on their AI efforts, they must fill this gap and promote AI capability. It is on this central aim that this study will expose and encourage research into this area; moreover, it hopes to create awareness among new industrial facilities of the essence of implementing AI features to boost any form of manufacturing and fabrication process.

Original languageEnglish
Title of host publicationProceedings of 4th International Conference on Communication, Computing and Electronics Systems - ICCCES 2022
EditorsV. Bindhu, João Manuel Tavares, Chandrasekar Vuppalapati
PublisherSpringer Science and Business Media Deutschland GmbH
Pages271-280
Number of pages10
ISBN (Print)9789811977527
DOIs
Publication statusPublished - 2023
Event4th International Conference on Communication, Computing and Electronics Systems, ICCCES 2022 - Coimbatore, India
Duration: 15 Sept 202216 Sept 2022

Publication series

NameLecture Notes in Electrical Engineering
Volume977
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference4th International Conference on Communication, Computing and Electronics Systems, ICCCES 2022
Country/TerritoryIndia
CityCoimbatore
Period15/09/2216/09/22

Keywords

  • Artificial intelligence
  • Industry
  • Information communication technology
  • Manufacturing

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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