Site Selection Of Distribution Center Research Articles

Application of Fuzzy Decision Theory in Multi Objective Logistics Distribution Center Site Selection

Application of Fuzzy Decision Theory in Multi Objective Logistics Distribution Center Site Selection

CiteSpace-based Logistics Distribution Center Site Selection Research

: China's logistics industry is developing at a high speed, but the distribution efficiency can't match with it, to reduce the waste of resources and costs on the way of distribution, it is crucial to study and improve the distribution center siting issue. Taking the 494 core journals on the study of logistics distribution center siting in Knowledge Network as the basic data, CiteSpace is used to visualize and analyze the related literature in this research field. Through the keyword clustering analysis, this field can be divided into four directions: the main body of research, the influence factors of site selection, the purpose of site selection, and site selection methods, and the comprehensive analysis shows that the early focus of China's research is on the site selection methods, such as genetic algorithm and center of gravity method, and the future research direction is the joint optimization of the site selection-path and the two-layer planning.

The Application of the Improved Jellyfish Search Algorithm in a Site Selection Model of an Emergency Logistics Distribution Center Considering Time Satisfaction.

In an emergency situation, fast and efficient logistics and distribution are essential for minimizing the impact of a disaster and for safeguarding property. When selecting a distribution center location, time satisfaction needs to be considered, in addition to the general cost factor. The improved jellyfish search algorithm (CIJS), which simulates the bionics of jellyfish foraging, is applied to solve the problem of an emergency logistics and distribution center site selection model considering time satisfaction. The innovation of the CIJS is mainly reflected in two aspects. First, when initializing the population, the two-level logistic map method is used instead of the original logistic map method to improve the diversity and uniform distribution of the population. Second, in the jellyfish search process, a Cauchy strategy is introduced to determine the moving distance of internal motions, which improves the global search capability and prevents the search from falling into local optimal solutions. The superiority of the improved algorithm was verified by testing 20 benchmark functions and applying them to site selection problems of different dimensions. The performance of the CIJS was compared to that of heuristic algorithms through the iterative convergence graph of the algorithm. The experimental results show that the CIJS has higher solution accuracy and faster solution speed than PSO, the WOA, and JS.

Environmentally friendly equilibrium strategy for coal distribution center site selection

Abstract Coal distribution centers play an important role in the coal supply chain by linking up coal producers with its users. However, with increasing attention on environmental protection issues, coal distribution centers need to focus on their environmental impacts during the construction and operation process. This paper develops an integrated approach to achieve the environmentally-friendly coal distribution sites selection process. In this study, suitable candidate sites were first selected by employing big data tools and Geographical Information Systems (GIS) technology, then an equilibrium strategy based multi-objective bi-level model was proposed to resolve the potential conflicts of interest between authority and the collieries. This model pursued maximum revenue and minimum coal dust emissions in order to achieve harmonious development of both the economy and the environment, and it was simplified into an easier calculation form with interactive solutions. The proposed method was then proven to be applicable by providing practical application from China and analyzing the computational results under different scenarios. Recommendations at the managerial level based on this methodology could assist administrators in different regions to make informed decisions and develop reasonable policies.

An integrated DEMATEL-ANP-VIKOR approach for food distribution center site selection: A case study of Georgia

Purpose - Distrution center location selection is a long-term strategic decision. In this study, it is aimed to present an approach for food distribution center location in Tbilisi, Georgia. Methodology - The proposed integrated approach includes three stages. In the first stage, the relationships between the criteria were determined by DEMATEL. Then, the criteria were weighted by ANP. In the last stage, the most suitable food distribution center was chosen by VIKOR. Findings - According to results of the study, transportation is the most important criterion, and Gori is the most suitable food distribution center alternative.

Logistics Distribution Center Site Selection Based on Domain Mean Value Optimization PSO Algorithm

Logistics Distribution Center Site Selection Based on Domain Mean Value Optimization PSO Algorithm