Application of Composite Ant Colony Optimization in Logistics Distribution Center Location

2012 ◽  
Vol 253-255 ◽  
pp. 1476-1481
Author(s):  
Xiao Lan Liu ◽  
Wu Yi Zhang
Keyword(s):  
Ant Colony Optimization ◽  
Transition Probability ◽  
Distribution Center ◽  
Ant Colony ◽  
Distribution Centers ◽  
Logistics Distribution ◽  
Location Routing ◽  
Center Location ◽  
Shortest Route ◽  
Distribution Center Location

A new model called location, routing, production and sale problem(LRPSP) is proposed for logistics distribution center location in the paper. In this model vehicle routing problem(VRP) and the balance or imbalance problem of production and sale are considered, because all these would influence the selection of locations of logistics distribution centers. And also ant colony optimization(ACO) for clustering and ACO for finding the shortest route are introduced to assign clients to distribution centers and solve VRP respectively for the model. Through designing the transition probability, the tabu list and the way to update pheromones reasonably, the composite algorithm of ACO for clustering and ACO for finding the shortest route(CACO) for LRPSP is realized and the computer program is designed by Java. Finally, it’s proved by a simulation case that CACO is feasibility and scientific effectiveness for LRPSP.

Multi-Node Distribution Center Location Model under Manufacturing and Remanufacturing System

2010 ◽  
Vol 39 ◽  
pp. 140-145 ◽  
Author(s):  
Ya Peng Zhao
Keyword(s):  
Distribution Center ◽  
Location Model ◽  
Mixed Integer ◽  
Distribution Centers ◽  
Dea Model ◽  
Logistics Distribution ◽  
Center Location ◽  
Node Distribution ◽  
Effective Decision ◽  
Distribution Center Location

This study establishes the logistics distribution center location model under manufacturing and remanufacturing system and modifies alternative expenses and time- restricting condition s of logistics distribution center location model according to the specific feature of model under manufacturing and remanufacturing system. It’s necessary to consider all the factors during the course of establishing the logistics distribution center location model. And it is also necessary to consider effectiveness of distribution center in model and ask for the experts’ opinion and advice. A location model by combining DEA model and mixed integer programming is presented. In this model, in terms of the results of the evaluation of the efficiency of the distribution center by the DEA model, this result is regarded as a constraint of the model. Finally, An example demonstrates that the model can solve the problem of distribution centers location and provide an effective decision tool for decision-maker.

Analysis of Influence Factors of the Supply Chain Distribution Center Location Based on the ISM Method

2012 ◽  
Vol 220-223 ◽  
pp. 323-326
Author(s):  
Jun Long Zhang ◽  
Xi Fu Wang
Keyword(s):  
Supply Chain ◽  
Quantitative Methods ◽  
Influence Factors ◽  
Distribution Center ◽  
Distribution Centers ◽  
Qualitative And Quantitative Methods ◽  
Logistics Systems ◽  
Center Location ◽  
Main Influence ◽  
Distribution Center Location

Distribution center plays an important role in the whole supply chain, and distribution center location decision is the core content of logistics systems analysis. Based on the analysis of the object of supply chain distribution center location, the main influence factors of the supply chain distribution center location were divided by using the ISM model, and a multi-grade hierarchical structure diagram of distribution center location was designed. By combining qualitative and quantitative methods, the hierarchical relationship of the main influence factors of supply chain distribution centers location is clarified.

scholarly journals A Hybridization of Cuckoo Search and Differential Evolution for the Logistics Distribution Center Location Problem

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Rui Chi ◽  
Yixin Su ◽  
Zhijian Qu ◽  
Xuexin Chi
Keyword(s):  
Differential Evolution ◽  
Optimization Algorithm ◽  
Location Problem ◽  
Cuckoo Search ◽  
Distribution Center ◽  
Metaheuristic Algorithms ◽  
Logistics Distribution ◽  
Center Location ◽  
Mutation Operation ◽  
Distribution Center Location

The location selection of logistics distribution centers is a crucial issue in the modern urban logistics system. In order to achieve a more reasonable solution, an effective optimization algorithm is indispensable. In this paper, a new hybrid optimization algorithm named cuckoo search-differential evolution (CSDE) is proposed for logistics distribution center location problem. Differential evolution (DE) is incorporated into cuckoo search (CS) to improve the local searching ability of the algorithm. The CSDE evolves with a coevolutionary mechanism, which combines the Lévy flight of CS with the mutation operation of DE to generate solutions. In addition, the mutation operation of DE is modified dynamically. The mutation operation of DE varies under different searching stages. The proposed CSDE algorithm is tested on 10 benchmarking functions and applied in solving a logistics distribution center location problem. The performance of the CSDE is compared with several metaheuristic algorithms via the best solution, mean solution, and convergence speed. Experimental results show that CSDE performs better than or equal to CS, ICS, and some other metaheuristic algorithms, which reveals that the proposed CSDE is an effective and competitive algorithm for solving the logistics distribution center location problem.

Study on Manufacturing Enterprises Distribution Center Location

2013 ◽  
Vol 834-836 ◽  
pp. 1938-1941
Author(s):  
Shou Wen Ji ◽  
Ting Ting Huang ◽  
Yun Feng Zhang
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Distribution Center ◽  
Mixed Integer ◽  
Distribution Centers ◽  
Manufacturing Enterprises ◽  
Model Distribution ◽  
Center Location ◽  
Location Algorithm ◽  
Distribution Center Location

The problem of one-level distribution centers is researched in this paper. It is a customer-oriented problem. This paper is from the perspective of manufacturing enterprises. The assumed conditions about location are put forward. The costs associated with distribution center location are analyzed. Distribution center location model is built by 0-1 mixed integer programming. And the software LINGO is used to solve the model. Distribution center location algorithm is verified by an example in the paper. The example explains that combining 0-1 mixed integer programming with LINGO is simple and effective to distribution center location.

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