A comprehensive review integration of digitalization and circular economy in waste management by adopting artificial intelligence approaches: Towards a simulation model

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24620%2F24%3A00012344" target="_blank" >RIV/46747885:24620/24:00012344 - isvavai.cz</a>

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0959652624020328" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0959652624020328</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.jclepro.2024.142584" target="_blank" >10.1016/j.jclepro.2024.142584</a>

Result language

angličtina

Original language name

A comprehensive review integration of digitalization and circular economy in waste management by adopting artificial intelligence approaches: Towards a simulation model

Original language description

Digitalization and circular economy (CE) principles are crucial to 21st century organizations, wherein the management approach can function as a strategic lever. The main gap in the field is related to the position of digitalization in the waste management process, with a concentration on soft computing approaches in developed and developing countries. Actually, the steps of digitalization implementation in the waste management supply chain are evaluated in this research item as a review study. This study uses VOS viewer to analyze scientometrics to examine digitalization in waste management. The article pioneer’s simulation methods showcasing digitalization and the circular economy in waste management. Digital technology fosters CE goals, vital for sustainable waste practices. In the subsequent discourse, an examination of the ramifications engendered by the process of digitalization for both the environment and the economy within the framework of the CE is presented. The fourth component of this comprehensive review develops simulation methods to demonstrate digitalization in waste management. The results of this research demonstrated that digitalization integrates Internet of Things (IoT). sensors, optimizes waste management efficiency, and aids decision-making. Route optimization and energy efficiency enhance sustainability in waste management.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10400 - Chemical sciences

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Cleaner Production

ISSN

0959-6526

e-ISSN

—

Volume of the periodical

460

Issue of the periodical within the volume

July

Country of publishing house

GB - UNITED KINGDOM

Number of pages

45

Pages from-to

1-45

UT code for WoS article

001296341600001

EID of the result in the Scopus database

2-s2.0-85193566377