TY - GEN
T1 - MODELLING INFORMAL WASTE COLLECTORS' PERSPECTIVE FOR PLASTIC SOLID WASTES
T2 - 2024 International Annual Conference of the American Society for Engineering Management and 45th Annual Meeting: Engineering Management Riding the Waves of Smart Systems, ASEM 2024
AU - Medoh, Chuks
AU - Pretorius, Jan Harm
N1 - Publisher Copyright:
Copyright © American Society for Engineering Management, 2024.
PY - 2024
Y1 - 2024
N2 - Informal waste collectors consist of individuals, alliances, or waste dealers charged with the responsibility to sort, sell, and purchase recyclable materials. Technology has progressively been integrated into the energy sector. In this context “informal waste collections” for efficient and effective delivery of services. The technological transformations witnessed across the globe can be attributed to the underlying benefits of Industry 4.0 which offers numerous opportunities. This paper aims to integrate decision-support tools of Industry 4.0 for Energy and resource efficiency termed “Energy 4.0”. The real-time integrated impact assessment of energy protocols such as waste requires a skill that is valuable and can be estimated by quantitative approaches. Solid wastes can be converted into gas to produce energy hence described as one of the energy strategies. The methodology reviews the tools of Industry 4.0, specifically Agent-based simulation. To develop an integrated decision model suitable to explore the interactions and behavioral patterns of informal waste collectors' perspectives on plastic solid wastes. Research provides evidence of the use of agent-based models to explicitly associate and explore individuals' behavioral attributes and etiquette with their social consequences. The outputs indicate expansive or complex relationships amongst the subsets in context. The results enable relevant stakeholders to better discern the opportunities that the tools of Industry 4.0 provide for energy and resource efficiency.
AB - Informal waste collectors consist of individuals, alliances, or waste dealers charged with the responsibility to sort, sell, and purchase recyclable materials. Technology has progressively been integrated into the energy sector. In this context “informal waste collections” for efficient and effective delivery of services. The technological transformations witnessed across the globe can be attributed to the underlying benefits of Industry 4.0 which offers numerous opportunities. This paper aims to integrate decision-support tools of Industry 4.0 for Energy and resource efficiency termed “Energy 4.0”. The real-time integrated impact assessment of energy protocols such as waste requires a skill that is valuable and can be estimated by quantitative approaches. Solid wastes can be converted into gas to produce energy hence described as one of the energy strategies. The methodology reviews the tools of Industry 4.0, specifically Agent-based simulation. To develop an integrated decision model suitable to explore the interactions and behavioral patterns of informal waste collectors' perspectives on plastic solid wastes. Research provides evidence of the use of agent-based models to explicitly associate and explore individuals' behavioral attributes and etiquette with their social consequences. The outputs indicate expansive or complex relationships amongst the subsets in context. The results enable relevant stakeholders to better discern the opportunities that the tools of Industry 4.0 provide for energy and resource efficiency.
KW - Agent-based model
KW - Energy and resource efficiency
KW - Industry 4.0
KW - Informal waste collectors
UR - http://www.scopus.com/inward/record.url?scp=85219455366&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85219455366
T3 - Proceedings of the 2024 International Annual Conference and 45th Annual Meeting: Engineering Management Riding the Waves of Smart Systems, ASEM 2024
SP - 649
EP - 656
BT - Proceedings of the 2024 International Annual Conference and 45th Annual Meeting
A2 - Natarajan, Ganapathy
A2 - Zhang, Hao
A2 - Ng, Ean
PB - American Society for Engineering Management
Y2 - 6 November 2024 through 9 November 2024
ER -