Study on Optimization Model of Multiple Depot Vehicle Scheduling in Logistics Distribution of Expressway Service Area

Qian Zhou; Chun Long Xu; Jun Liu

doi:10.4028/www.scientific.net/AMM.253-255.1486

Paper Titles

Urban and Rural Logistics and Distribution System Based on Supply and Marketing Cooperatives
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The Planning of the Dynamic Path of the 3rd Party Logistics Center, which Based on the Ant Colony Optimization
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Application of Composite Ant Colony Optimization in Logistics Distribution Center Location
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Improved Heuristic Search Algorithm for Multi-Cargo Loading Problem
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Study on Optimization Model of Multiple Depot Vehicle Scheduling in Logistics Distribution of Expressway Service Area
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Empirical Study on Influencing Factors of Sichuan Logistics Development Based on Grey Relation Degree Model
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Research of the Car Demand Forecasting Based on the Seasonal Index Correcting Smoothing Model
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Definition of the Logistics Park Hinterland Based on Weighted Voronoi Diagram
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Logistics Reorganization of Supermarket Chains Based on Agriculture Super Docking
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Study on Optimization Model of Multiple Depot Vehicle Scheduling in Logistics Distribution of Expressway Service Area

Abstract:

Based on the unblocked reliability theory of the road network, combined with the characteristics of the logistics distribution of expressway service areas, the concept of network unblocked reliability on logistics distribution was put forward. Under the reliability analysis, the optimization model of multi objective, multi depot and open vehicle scheduling on logistics distribution of highway service areas was established, and the ant colony algorithm was designed. In the end an example was analyzed to validate the usability of the optimization model by comparing with saving mileage, which demonstrates the established optimization model of multiple depot vehicle scheduling is of a better practical value to guide the optimization decision making of logistics distribution network and to improve the reliability of logistics distribution of expressway service areas.