A Bi-Level Optimization Approach to Network Flow Management Incorporating Travelers’ Herd Effect DOI Creative Commons

Shihao Li,

Bojian Zhou,

Min Xu

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 3923 - 3923

Published: Dec. 13, 2024

Herd effect is a widespread phenomenon in real-world situations. This study explores how the herd can be used to manage network flow effectively. We examined its impact on travelers’ route choices and propose mixed evolution process that incorporates effect, considering two types of travelers: those who receive subsidy information do not. Based this process, we developed bi-level optimization model determine optimal subsidized routes, amounts per kilometer, proportion travelers receiving information. A hybrid algorithm with iterative procedures was proposed solve model, which adaptive genetic (AGA) employed upper-level nonlinear mixed-integer programming problem, partial linearization method lower-level process. Numerical results indicate presence effectively reduce both total travel time overall costs. The findings have significant implications for utilization designing navigation software developing congestion pricing strategies.

Language: Английский

A probabilistic bi‐objective model for a humanitarian location‐routing problem under uncertain demand and road closure DOI Creative Commons

Sedanur Temiz,

Hande Cansın Kazanç, Mehmet Soysal

et al.

International Transactions in Operational Research, Journal Year: 2024, Volume and Issue: 32(2), P. 590 - 625

Published: May 16, 2024

Abstract Effective planning and execution of humanitarian aid logistics activities ensure that disaster‐related losses are minimized. This study addresses a tactical‐level pre‐disaster problem where decision‐maker decides on cross‐dock locations by taking potential vehicle routes into account. A decision support model is proposed for the location selection distribution operations in with explicit fuel consumption estimation. In addressed problem, demand amount each node depends probabilistic disaster scenarios. Probabilities whether arc/road open or closed heterogeneous fleet terms sizes also respected. The formulated as bi‐objective mixed integer linear programming, whose objectives minimization total cost (i.e., cost, fixed opening cost) travel time. To best our knowledge, unique features considered simultaneously. applicability demonstrated case subsequent numerical analyses possible earthquake Kartal district Istanbul. shown to have decision‐makers preparation disaster. solution approach based clustering algorithm has been solve larger instances problem. effectiveness this heuristic through its application larger‐scale problems.

Language: Английский

Citations

5
A New Model of Emergency Supply Management for Swift Transition from Peacetime to Emergency Considering Demand Urgency and Supplier Evaluation DOI Creative Commons
Jiaqi Fang,

L. Ye,

Wenli Zhou

et al.

Systems, Journal Year: 2025, Volume and Issue: 13(1), P. 54 - 54

Published: Jan. 16, 2025

In recent years, the increasing complexity of natural disasters has highlighted limitations existing emergency material assistance systems. To address these challenges, this study proposes a collaborative adaptation mechanism for “peacetime and integration” develops supplier evaluation framework. The framework incorporates multi-dimensional indicators such as profit, business credit, regional advantages, capability. Using DEMATEL-ANP-based model, L2 is identified optimal choice with weight 0.285. A fuzzy comprehensive assessment approach applied to classify materials based on demand urgency, identifying drinking water, rescue tools, medical supplies, other critical items priority resources. vectors range from 0.1540 0.9909. This enhances management through improved information systems, better control processes, unified assurance strategy. It provides theoretical support practical guidance more scientific standardized disaster practices.

Language: Английский

Citations

0
Research on emergency logistics information traceability model and resource optimization allocation strategies based on consortium blockchain DOI Creative Commons
Chuansheng Wang, Zixian Guo, F.G. Shi

et al.

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(5), P. e0303143 - e0303143

Published: May 20, 2024

In response to increasingly complex social emergencies, this study realizes the optimization of logistics information flow and resource allocation by constructing Emergency Traceability model (ELITM-CBT) based on alliance blockchain technology. Using decentralized, data immutable transparent characteristics technology, research breaks through limitations traditional emergency models improves accuracy efficiency management. Combined with hybrid genetic simulated Annealing algorithm (HGASA), improved shows significant advantages in scenarios, especially terms total transportation time, cost, fairness allocation. The simulation results verify high timeliness allocation, provide innovative theoretical support practical scheme for field logistics. Future will explore more efficient consensus mechanisms, combine big artificial intelligence technology further improve performance adaptability systems.

Language: Английский

Citations

1
Research on origin-based cold storage location and routing optimization of fresh agricultural products based on hybrid whale algorithm DOI Creative Commons
Xueyan Zhou, Jin Li, Fengjie Xie

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 10, 2024

Language: Английский

Citations

1
Research on Origin-based Cold Storage Location and Routing Optimization of Fresh Agricultural Products Based on Hybrid Whale Algorithm DOI Creative Commons
Xueyan Zhou, Jin Li, Fengjie Xie

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 20, 2024

Abstract Aiming at the problem that number of origin-based cold storages is insufficient and resources are unbalanced in China, this paper studies location routing (LRP) storage for fresh agricultural products. This considers loss products, constructs a LRP model. To solve problem, hybrid whale algorithm designed, effectiveness verified by standard instances. Finally, taking Chenggu County as practical case, influence capacity farmers demand refrigeration on analysed. Experimental results show proposed has good effect solving medium-scale LRP. The an important impact results. With increase farmers’ refrigeration, vehicles increases, total system costs gradually.

Language: Английский

Citations

0
Preface to the Special Issue “Mathematical Modelling and Optimization of Service Supply Chain” DOI Creative Commons
Yong He

Mathematics, Journal Year: 2024, Volume and Issue: 12(14), P. 2292 - 2292

Published: July 22, 2024

In recent years, as the world economy has grown, increasingly, service-oriented systems play a more significant role in supply chain [...]

Language: Английский

Citations

0
A Bi-Level Optimization Approach to Network Flow Management Incorporating Travelers’ Herd Effect DOI Creative Commons

Shihao Li,

Bojian Zhou,

Min Xu

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(24), P. 3923 - 3923

Published: Dec. 13, 2024

Herd effect is a widespread phenomenon in real-world situations. This study explores how the herd can be used to manage network flow effectively. We examined its impact on travelers’ route choices and propose mixed evolution process that incorporates effect, considering two types of travelers: those who receive subsidy information do not. Based this process, we developed bi-level optimization model determine optimal subsidized routes, amounts per kilometer, proportion travelers receiving information. A hybrid algorithm with iterative procedures was proposed solve model, which adaptive genetic (AGA) employed upper-level nonlinear mixed-integer programming problem, partial linearization method lower-level process. Numerical results indicate presence effectively reduce both total travel time overall costs. The findings have significant implications for utilization designing navigation software developing congestion pricing strategies.

Language: Английский

Citations

0