Location selection of distribution centers is a crucial task for logistics operators and key decision makers of an organization. This is a multi-criteria decision making (MCDM) process which includes both quantitative and qualitative criteria. In order to propose an optimized location selection model, this research suggests a hierarchical group of evaluation criteria : 5 major criteria with 15 sub-criteria. The MCDM approach presented in this research, by integrating Grey Relational Analysis (GRA) with Analytic Hierarchy Process (AHP), tends to rectify the overall quality and uncertainty of the values of evaluation criteria. An example of a location selection case in Korea is illustrated in this study to show the effectiveness of this method.

Distribution centers in a distribution system that consists of the distribution centers and retailers supplies products to retailers. At the present, although total capacity of the distribution centers are enough to supply total demand of retailers, capac

Every single company in the world makes a huge amount of effort so as to not only cut down the physical distribution cost but promote the efficiency. In the government's respect, especially, they expect to maximize the synergy by unifying the physical distribution. For that reason, it relevant for all kinds of a distribution strategy to get rid of unnecessary distribution centers and to integrate distribution centers by unifying and rearranging the distribution centers that are hardly efficient. Most enterprises in Japan, related to making and distributive, have got a tendency to decentralize their distribution centers in a wide scope of the whole nation. In the meantime, they seem to get a move to become a great-sphere distribution center. Many similar cases in Korea, Koon-Po distribution center, Yong-In distribution center, are not expected to function properly. With a rate of trading products expanded, a new strategic physical distribution is needed to turn the way of depending on building up a new distribution center into the way of unifying and rearranging a distribution center. Therefore, this study aims to identify the optimal method of unifying and rearranging a distribution center, compared to the cost which takes place in a large number of distribution centers.

  Operational strategy for inventory control in the distribution system has been given attention. If an individual enterprise implements the strategy, it is not easy to gain scale merits because of limited quantity or burden of inventory. In this study, w

  This paper addresses determining the location of the distribution centers in a discrete dynamic distribution system. In discrete and finite time horizon, the demands of retailers are dynamic for the periods. Some locations among the retailers can be cho

  This paper is to determine the transportation size and the location of distribution centers to minimize logistics cost in a distribution system where products are transported from the distribution centers to the retailers. Logistics cost consists of the

Purpose - This paper discussed and illustrated the most efficient method to calculate the distribution centers for a national project in China. Through demonstration of implementing the GIS, spatial analysis, and location calculation model, this paper mainly dealt with the construction distribution problem and inconvenient supply of materials problems. Research design, data, and methodology – In this paper, the research design structure based on three steps: implementing the Geographic Information System to locate the points coordination data, calculating the distribution centers of the project, and optimizing the most efficient and effective coordination. The data of the calculation is from an actual project. The methodology of this paper is summarizing the spatial analysis capabilities and digital graphic data calculation to locate logistics distribution centers, and since the illustration of the calculation is useful for locating the coordination, the result of this paper has certain reference values for the project construction. Results - This paper illustrates the steel and cement resource of every distribution point to confirm the most efficient distribution center location coordination. Conclusions - The integrated logistical management models are used to ensure the results for the purposes of our calculation. The result of the calculation is also a useful example for future Chinese national projects.