Cited by Reliable scheduling and routing in robust multiple cross-docking networks design

Artificial Intelligence and MCDA in Circular Economy: Governance Strategies and Optimization for Reverse Supply Chains of Solid Waste DOI

Joel Joaquim de Santana Filho, Arminda Paço, Pedro Dinis Gaspar

и другие.

Applied Sciences, Год журнала: 2025, Номер 15(9), С. 4758 - 4758

Опубликована: Апрель 25, 2025

The integration of multi-criteria decision analysis (MCDA) and Artificial Intelligence (AI) is revolutionizing the governance reverse supply chains for solid waste (RSCSW) within a circular economy framework. However, existing literature lacks systematic assessment effectiveness these methods compared to traditional management practices. This study conducts review (SLR), following PRISMA guidelines P.I.C.O. framework, investigate how MCDA AI can optimize governance, operational efficiency, sustainability RSCSW. After collecting 1139 articles, 22 were selected used analysis. results indicate that hybrid MCDA-AI models, employing techniques, such as TOPSIS, AHP, neural networks, genetic algorithms, enhance decision-making automation, reduce costs, improve traceability. Nevertheless, regulatory barriers technological challenges still hinder large-scale adoption. proposes an innovative framework address gaps drive evidence-based public policies. findings provide policymakers managers, contributing Sustainable Development Goals (SDGs) agenda advancements in governance.

Язык: Английский

Процитировано

A Necessity-Based Optimization Approach for Closed-Loop Logistics Considering Carbon Emission Penalties and Rewards under Uncertainty DOI

Botang Li,

Kaiyuan Liu, Qiong Chen

и другие.

Mathematics, Год журнала: 2023, Номер 11(21), С. 4516 - 4516

Опубликована: Ноя. 1, 2023

The recycling of waste products can bring enormous economic and environmental benefits to supply chain participants. Under the government’s reward punishment system, manufacturing industry is facing unfolded pressure minimize carbon emissions. However, various factors related design closed-loop logistics networks are uncertain in nature, including demand, facility capacity, transportation cost per unit product kilometer, landfill cost, penalty amount. As such, this study proposes a new fuzzy programming model for network which directly relies on methods based necessity measure. objective proposed optimization total sum rewards penalties when selecting locations routes between nodes. Based characteristics problem, genetic algorithm variant priority encoding as solution. This solution method make up shortcomings four traditional (i.e., Prüfer number-based encoding, spanning tree-based forest data structure-based priority-based encoding) speed computational time algorithm. Several alternative approaches were considered evaluate precision (CPLEX) results numerous experiments indicated that even large-scale numerical examples, create optimal high-quality solutions within acceptable time. applicability was demonstrated through sensitivity analysis conducted by changing parameters providing some important management insights. When external change, maintains certain level satisfaction conservatism. At same time, changes amount emissions have significant impact revenue cost. expected provide scientific support relevant enterprises stakeholders.

Язык: Английский

Процитировано

An Application of the DHI Methodology for a Comparison of SARS-CoV-2 Epidemic Hazards in Customer Delivery Services of Smart Cities DOI

Rafał Burdzik

Smart Cities, Год журнала: 2023, Номер 6(2), С. 965 - 986

Опубликована: Март 16, 2023

Current awareness of epidemic threats and critical experiences the COVID-19 pandemic require extension management model in smart city, especially field mobility transport services, with monitoring hazards. This paper addresses issue hazards, a new challenge cities, customer delivery services. The novel DHI methodology for hazards assessment is presented applied to compare services aspects SARS-CoV-2 case studies detailed analysis on basis process algorithms dedicated quantitative scales assess factors influencing mechanisms virus transmission. developed results obtained constitute important cognitive knowledge administrative personnel city.

Язык: Английский

Процитировано

Priority-based multi-objective algorithms for green supply chain network design with disruption consideration DOI