Work

Optimization of Two-echelon Emergency Material Distribution Path Based on Prospect Theory

Year: 2025

Type: article

Abstract: In emergency situations, addressing the critical issue of diminishing satisfaction stemming from delayed deliveries has emerged as a paramount challenge.To tackle this, we developed a sophisticated hybrid mathematical model that integrates prospect theory with fuzzy mathematics methodologies.Furthermore, we implemented an innovative two-echelon transportation approach to optimize overall transportation efficiency.Lastly, we devised an efficient Hybrid Genetic Algorithm by merging the Genetic Algorithm with an adaptive large neighborhood search algorithm.Comparative experiments and case studies have demonstrated the superior effectiveness of this hybrid algorithm in resolving the issue.

Source: Research Review

DOI: 10.52845/cs/2024-4-6-17

Authors: Houxue Xia, Bowen Wu, Huagang Tong, Song Wang

Institutions: Nanjing Tech University, Tianjin University, Jiangsu Provincial Party School

Language: English

Topic: Facility Location and Emergency Management

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: diamond

Funders: National Natural Science Foundation of China, Government of Jiangsu Province, National Social Science Fund of China

Awards: G7033040377, G7782682830, G8062982627