Logistics Distribution Center Location Model Research Articles

Environmental cold chain distribution center location model in the semiconductor supply chain: A hybrid arithmetic whale optimization algorithm

This study addresses the high cost and high carbon emissions associated with the transportation sector. An environmental cold chain logistics distribution center location model has been designed by considering various constraints such as demand, time windows, and cost factors associated with cargo damage, refrigeration of cold chain cargo, and carbon emissions. An environmental cold chain logistics distribution center location model is designed for the raw materials of low-temperature storage and transportation in the semiconductor supply chain to achieve sustainable development by reducing carbon emissions. This study effectively reduces transportation costs and carbon emissions. To address the issues of slow convergence speed and susceptibility to local optima in the conventional whale optimization algorithm (WOA), a hybrid arithmetic whale optimization algorithm (HAWOA) is proposed by combining arithmetic optimization and the honey badger algorithm. Simulation analysis shows that the HAWOA is capable of obtaining the location scheme with the minimum distribution cost under the same number of iterations, which provides a substantial advantage compared to other algorithms.

Research on Logistics Distribution Center Location Model Based On GIS

Based on the advantages and disadvantages of location model in the analysis of the traditional distribution center, a GIS-based logistics center location model is established. First, the located targets and the main factors of the distribution center are determined. Then locative model of logistics distribution center is proposed based on GIS, which determines the best sites identified using GIS technology and spatial analysis methods. At last this paper realizes the model through the case study and shows that the model is feasible.

Research on Logistics Distribution Center Location Model and Evaluation Under Electronic Commerce

Modern logistics combines transportation, storage, loading and unloading, handling, carrying, packaging, processing, distribution, freight forwarders, information industry and socialized production of new services together, the development of economies scale and the reduction of transportation cost makes people pay attention to logistics distribution center gradually. Location of logistics distribution center plays a very important position in the logistics system, belongs to the logistics management strategy layer. In this paper, we investigate the multiple attribute decision making problems for evaluating the logistics distribution center location model with 2-tuple linguistic information. We extended the TOPSIS model to solve the evaluation problems of the logistics distribution center location model with 2-tuple linguistic information. Finally, a numerical example for evaluating the logistics distribution center location model with 2-tuple linguistic information is used to illustrate the applicability and effectiveness of the proposed model.

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

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.