Industrial solid waste recycling using digital servitisation for decarbonisation to promote Net zero in the circular economy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F25%3A50022473" target="_blank" >RIV/62690094:18470/25:50022473 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S0360835225003973?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0360835225003973?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.cie.2025.111251" target="_blank" >10.1016/j.cie.2025.111251</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Industrial solid waste recycling using digital servitisation for decarbonisation to promote Net zero in the circular economy

Popis výsledku v původním jazyce

The smart circular economy framework proposed in this study encourages a net-zero economy by improving industrial solid waste recycling for decarbonization through the digital service economy. A blockchain-based cloud platform uses advanced technologies like artificial intelligence, blockchain, and data analytics to encourage smooth communication between all parties. These suggested framework developments include requirement elicitation and quality grading, smart life cycle option selection, and returned products clustering. The FuzClu algorithm clusters returned products to improve their allocation to collection centers based on specific features like product type, return time and location. Subsequently, requirement elicitation through Latent Dirichlet Analysis identifies consumer needs and return patterns to produce innovation and predict future return volumes. Finally, the Smart Life Cycle Option Selection applies the Modified Convolutional Neural Network Algorithm to recommend optimal life cycle options based on product quality and lifetime. This approach increases the value of end-of-life products, encourages sustainability and reduces environmental pollution. Overall, this research contributes to addressing industrial solid waste challenges by aligning digital servitisation with circular economy principles, notably supporting decarbonisation with a focus on a net-zero economy.

Název v anglickém jazyce

Industrial solid waste recycling using digital servitisation for decarbonisation to promote Net zero in the circular economy

Popis výsledku anglicky

The smart circular economy framework proposed in this study encourages a net-zero economy by improving industrial solid waste recycling for decarbonization through the digital service economy. A blockchain-based cloud platform uses advanced technologies like artificial intelligence, blockchain, and data analytics to encourage smooth communication between all parties. These suggested framework developments include requirement elicitation and quality grading, smart life cycle option selection, and returned products clustering. The FuzClu algorithm clusters returned products to improve their allocation to collection centers based on specific features like product type, return time and location. Subsequently, requirement elicitation through Latent Dirichlet Analysis identifies consumer needs and return patterns to produce innovation and predict future return volumes. Finally, the Smart Life Cycle Option Selection applies the Modified Convolutional Neural Network Algorithm to recommend optimal life cycle options based on product quality and lifetime. This approach increases the value of end-of-life products, encourages sustainability and reduces environmental pollution. Overall, this research contributes to addressing industrial solid waste challenges by aligning digital servitisation with circular economy principles, notably supporting decarbonisation with a focus on a net-zero economy.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název periodika

Computers and Industrial Engineering

ISSN

0360-8352

e-ISSN

1879-0550

Svazek periodika

206

Číslo periodika v rámci svazku

August

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

"Article Number: 111251"

Kód UT WoS článku

001512051700002

EID výsledku v databázi Scopus

2-s2.0-105006566090