Socio-Economical Analysis of a Green Reverse Logistics Network under Uncertainty: A Case Study of Hospital Constructions DOI Creative Commons

Alireza Alibakhshi,

Amirreza Saffarian,

Erfan Hassannayebi

et al.

Urban Science, Journal Year: 2024, Volume and Issue: 8(4), P. 171 - 171

Published: Oct. 11, 2024

This study addresses the critical issue of managing construction and demolition waste in urban environments. Effective management is not only essential for minimizing costs but also enhancing sustainability reducing environmental impact. In this context, research introduces a green reverse logistics model designed C&D management, integrating both considerations current regulatory frameworks, such as LEED. A key innovation incorporation electric vehicles collection, compared to traditional diesel vehicles, part logistical process, carbon emission significant concern. By evaluating limitations opportunities associated with alongside robust optimization manage uncertainties seeks balance environmental, social, economic objectives. It further incorporates decision-making tools like fuzzy logic optimize multi-objective outcomes across various facilities, including separation labs, incineration centers, recycling landfills. case conducted Tehran validates model, highlighting socio-economic benefits using collection. Sensitivity analysis indicates that hybrid socially focused policies perform best under high-impact scenarios, although results can differ varying data sets. Despite complexity networks, provides valuable insights supply chain planners. suggests potential future directions, application metaheuristic algorithms improved stochastic planning methods.

Language: Английский

Application of Life‐Cycle Assessment Approach to Zero Energy Buildings: Case Study of an Office Building in South Korea DOI Creative Commons

Yong Gi Jung,

Ji Young Yun,

Kang Woo Bae

et al.

Advances in Civil Engineering, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

This study evaluates the life‐cycle carbon footprint of buildings, addressing a key limitation zero‐energy buildings (ZEBs), which primarily focus on operational energy use. identified optimal conditions for structure type and window‐to‐wall ratio (WWR) ZEB implementation to evaluate emissions from perspective. Building simulations assessment (LCA) analyses were conducted examine variations in consumption building based different structural materials WWR configurations. The selected this analysis featured combination concrete wood structures, with 40% north–south direction 30% east–west direction, each increasing by 20%. findings indicated that increased both structures increases consumption. Moreover, followed similar pattern, rising as increases. Regarding emissions, suggest transitioning current while maintaining low an effective strategy achieve neutrality operations.

Language: Английский

Citations

0
Recycling decision and corporate social responsibility implement for closed‐loop supply chain considering green design under EPR policy DOI

Feng‐min Yao,

Tian‐tian Xie,

Yingluo Yan

et al.

Managerial and Decision Economics, Journal Year: 2024, Volume and Issue: 45(7), P. 4777 - 4794

Published: June 18, 2024

Abstract The extended producer responsibility (EPR) policy requires producers to focus on the green design of front‐end products and recycling end‐of‐life waste at same time fulfill dual environmental responsibilities. Under this background, we study decision corporate social (CSR) implementation for closed‐loop supply chains (CLSC) considering under EPR policy. We build game models CLSC six situations, analyze interaction between manufacturer's behavior retailer's CSR behavior, along with their influence decisions operational performance CLSC. show that both are beneficial improving welfare other party's profits, but a higher level is uneconomical manufacturer. Similarly, awareness not conducive profitability. also find government's “Tax‐Reduction‐Subsidy” policy, selection optimal channel influenced by factors such as difficulty products, government subsidies, profit unit reprocesses from perspective maximizing chain member's profits.

Language: Английский

Citations

3
Insight into the cooperation behavior among supply chain subjects in resource utilization of construction and demolition waste DOI
Hongyu Long, Mengyuan Wang

Environment Development and Sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 19, 2024

Language: Английский

Citations

1
Socio-Economical Analysis of a Green Reverse Logistics Network under Uncertainty: A Case Study of Hospital Constructions DOI Creative Commons

Alireza Alibakhshi,

Amirreza Saffarian,

Erfan Hassannayebi

et al.

Urban Science, Journal Year: 2024, Volume and Issue: 8(4), P. 171 - 171

Published: Oct. 11, 2024

This study addresses the critical issue of managing construction and demolition waste in urban environments. Effective management is not only essential for minimizing costs but also enhancing sustainability reducing environmental impact. In this context, research introduces a green reverse logistics model designed C&D management, integrating both considerations current regulatory frameworks, such as LEED. A key innovation incorporation electric vehicles collection, compared to traditional diesel vehicles, part logistical process, carbon emission significant concern. By evaluating limitations opportunities associated with alongside robust optimization manage uncertainties seeks balance environmental, social, economic objectives. It further incorporates decision-making tools like fuzzy logic optimize multi-objective outcomes across various facilities, including separation labs, incineration centers, recycling landfills. case conducted Tehran validates model, highlighting socio-economic benefits using collection. Sensitivity analysis indicates that hybrid socially focused policies perform best under high-impact scenarios, although results can differ varying data sets. Despite complexity networks, provides valuable insights supply chain planners. suggests potential future directions, application metaheuristic algorithms improved stochastic planning methods.

Language: Английский

Citations

0