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2018•Mathematical Problems in EngineeringOpen access

Models and Methods for Two-Echelon Location Routing Problem with Time Constraints in City Logistics

Peng Yang, Lining Zeng

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Abstract

This paper focuses on the two-echelon location routing problem with time constraints in city logistics system. The aim is to define the structure of a system which can optimize the location and the number of two different kinds of logistics facilities as well as the related routes on each echelon. A mathematic model considering the problem characteristics has been set up. Based on probability selection principle, this paper first puts forward a metaheuristic algorithm with comprehensive consideration of time and space accessibility to solve it. Then, random instances of different sizes are generated to verify the effectiveness of our method.

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What this paper is about

This paper focuses on the two-echelon location routing problem with time constraints in city logistics system. The aim is to define the structure of a system which can optimize the location and the number of two different kinds of logistics facilities as well as the related routes on each echelon. A mathematic model considering the problem characteristics has been set up. Based on probability selection principle, this paper first puts forward a metaheuristic algorithm with comprehensive consideration of time and space accessibility to solve it. Then, random instances of different sizes are generated to verify the effectiveness of our method.

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Available abstract

This paper focuses on the two-echelon location routing problem with time constraints in city logistics system. The aim is to define the structure of a system which can optimize the location and the number of two different kinds of logistics facilities as well as the related routes on each echelon. A mathematic model considering the problem characteristics has been set up. Based on probability selection principle, this paper first puts forward a metaheuristic algorithm with comprehensive consideration of time and space accessibility to solve it. Then, random instances of different sizes are generated to verify the effectiveness of our method.

Key concepts: Mathematical optimization, Set (abstract data type), Routing (electronic design automation), Vehicle routing problem, Computer science, Selection (genetic algorithm), City logistics, Metaheuristic

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