Leenawong, Chartchai

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Leenawong, Chartchai
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Leenawong, Chatchai
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chartchai.le@kmitl.ac.th

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    Choices of interacting positions on multiple team assembly
    (2007-01-01)
    Leenawong, Chartchai
    ;
    Wattanasiripong, Nisakorn
    This paper proposes a new method for choosing interacting positions that affect team performance on multiple team assembly in an organization. Various approaches for replacing team members are also reviewed and adjusted so that the resulting team obtained will be as effective and efficient as possible. This multiple team assembly is a combinatorial optimization problem that focuses on examining complexity in an organization. The objective of the problem is to achieve maximum performance of the team while at the same time trying to reduce the expected number of replacements and the expected number of trials needed to arrive at that performance level. Computer simulation is used to implement and demonstrate the proposed ideas. © Springer-Verlag Berlin Heidelberg 2007.
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    Decision Support Model and Software for Consolidated Order Assignment to Delivery Trucks
    (2017-11-15)
    Leenawong, Chartchai
    ;
    Wattanawalun, Champ
    ;
    Wongsa, Kittipish
    ;
    Lethaisong, Karnkanok
    In this research, a decision model for assisting in loading consolidated orders onto delivery trucks to distribute to scattered customers is constructed. Each truck can have more than one drop-off location. The case-study company based in Bangkok produces bubble wraps that can simply be stacked up on top of the companys small trucks. Most customer orders are less than truck-load. Thus, consolidating orders into full trucks according to customer locations is necessary to ensure minimum transportation and in-transit inventory carrying costs. 0-1 integer programming is used in the model construction. Also, a decision support system for dealing with this problem is developed for ease of use to logistics managers and planners.
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    Quantitative models for forecasting vehicle fuel prices in Thailand
    (2009-11-16)
    Tipyan, Jenjira
    ;
    Leenawong, Chartchai
    In this research, quantitative models for forecasting vehicle fuel selling prices at a gas station in Thailand are investigated. Four types of gasoline include Gasoline 95, Gasoline 91, Gasohol 95, and Diesel. The data are drawn from the year 2002 to 2008. Time series and regression methods are used in this research. A composite method is also proposed using three different approaches in assigning the weights. Firstly, the weights minimize the variance of the combined error. Secondly, the weights are taken from a regression. Thirdly, the weights are all equal. The results such as the best model for prices of Gasoline 91 and Gasohol 95 is the combined method of using regression in obtaining the weights are presented. © 2008 IEEE.