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    P-Median Model for Locating Emergency Flood Shelters
    (2023-01-01)
    Na Ayuhdya, Wichitsawat Suksawat
    Nong Khai and Udon Thani provinces since these two provinces are on the south bank opposite Vientiane. However, Floods during the monsoon season caused problems, and the drainage infrastructure project is not complete. Therefore, the authority must prepare a response, mitigation, and recovery plan. So, the key element of this plan is to find suitable locations for emergency flood shelters while reducing transportation costs. In this paper, the scenario-based facility location model was used to locate emergency flood shelters. Historical data for detour routes and population size were also incorporated. Two scenarios were run. The optimization model was tested against data from the years 2017, 2018, and 2019. Numerical results show that Mueang Udon Thani and 3-Nong Han are the key districts for emergency flood shelters.
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    Stochastic algorithms for managing the flows of material resources of a logistics hub
    (2021-01-01)
    Provotorov, V. V.
    ;
    Barykin, S. E.
    ;
    Ostrovskaya, N. V.
    ;
    Volkova, E. S.
    ;
    Khalid, Bilal
    Digital logistics platforms have already become a major trend in the recent years, making dramatic advances during the COVID-19 pandemic. The architecture of modern logistics industry exhibits a tendency towards consolidation of commerce into networks. Making decisions in such a business environment is difficult due to imperfect algorithms, which is the main obstacle to increasing the economic feasibility of logisitcs. This study considers the development of an algorithmic basis for the software shell of the control server processing the flow of data on the movement of goods and cargo through a network. Because it is more profitable to use two-stage rather than single-stage nodes for intermediate storage and processing in modern commercial networks, the mathematical model should reflect the complex structure of such a logistics hub. The algorithms were developed acccounting for the stochastic nature of the flows of goods and cargo due to the market uncertainty of the operating conditions of the logistics hub.
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    Defect detection of GPS trackers through data visualization
    (2019-07-01)
    Chawuthai, Rathachai
    ;
    Threepak, Thanunchai
    A Global Positioning System (GPS) tracker installed in a vehicle is commonly used to improve logistics management processes and transportation safety. All GPS trackers must send data including locations, timestamps, and speeds to a server all the time. In case of a device failure, it can be checked by incomplete data; however, a device's sensor inaccuracy, which can create negative consequences to many parties, becomes a challenging issue to detect. With this reason, this paper aims to adopt data visualization to find out the defect of GPS trackers. It has been found that some defects noticed by a visualization were reported, and providers got advantage of this result to maintain their devices.
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    Applied Particle Swarm Optimization in Solving Container Loading Problem for Logistics
    (2019-04-10)
    Koonsintananan, Sasithom
    ;
    Kimpan, Warangkhana
    Container loading problem (CLP) is a major problem for logistics in distributing cargoes to customers. As cost and time savings are important in shipping management, the process of cargo handling is essential. Cargoes must be effectively packed into a container. This paper, therefore, proposes container loading problem solving using a strategy for positioning non placement heuristics to reduce space between different buildings. Particle Swarm Optimization (PSO) is used to select the orientation of boxes to be packed into a single container to minimize the space which simulated in 3D. The condition for this solution is packing must be placed within the container with no part of the box overhanging the container, and the boxes must be placed parallel to the container surface area or other boxes. Weight and orientation of the box condition are also considered. The experiments are 12 cases. Different sizes of boxes and different sizes of containers are used. The experimental results are satisfied and it can be concluded that varied sizes of boxes are applicable for the space utilization in the container.