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Randomforest enabled collaborative covid-19 product manufacturing/fabrications

  • Indian Institute of Information Technology

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

Manufacturing COVID-19-related products such as face masks, shields, ventilators, shoe covers, gowns, and so forth, rapidly increased in recent months as the virus pandemic surges across the globe. Governments and Industrialists are keen to formulate quick decisions and are open to decentralize productions within a prescribed time limit using smart techniques. Recommendations on the volume of productions and the producer assignments are remaining a sole concern for policymakers or smart city authorities due to the unforeseen or unpredictable nature of the raging pandemic. This article introduces a RandomForest-assisted Collaborative COVID-19 Product Manufacturing (RFCCPM) framework. It collaboratively decides on producing COVID-19 preventive kits in a cost-efficient manner. The approach was experimented at the IoT cloud research laboratory; it achieved a manufacturing cost efficiency of 66 percent when Threshold Accepting (TA) algorithm was incorporated in the framework.

Original languageEnglish
Pages (from-to)99-113
Number of pages15
JournalCEUR Workshop Proceedings
Volume2786
StatePublished - 2021
Externally publishedYes
Event2021 International Semantic Intelligence Conference, ISIC 2021 - New Delhi, India
Duration: 25 Feb 202127 Feb 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • COVID-19
  • Fabrication
  • Manufacturing
  • RandomForest
  • Smart Decisions

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