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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    Mathematical models for studying the value of motivational leadership in teams
    (2005-05-01)
    Solow, Daniel
    ;
    Piderit, Sandy
    ;
    Burnetas, Apostolos
    ;
    Leenawong, Chartchai
    Mathematical models are presented for studying the value of leadership in a team where the members interact with each other. The models are based on a leader's role of motivating each team member to perform closer to his/her maximum ability. These models include controllable parameters whose values reflect the amount of task interdependence among the workers as well as the motivational skill and variability in the skill of the leader. Confirming results - such as the fact that the skill level of the leader is a critical factor in the expected performance of the team - establish credibility in the models. Mathematical analysis and computer simulations are used to provide new managerial insights into the value of the leader - such as the fact that the skill of the leader can be more important than controlling the amount of interdependence among the team members and that having a choice of multiple leaders with no particular motivating skill is beneficial to the performance of small teams but not to large teams. © Springer Science + Business Media, Inc. 2005.
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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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    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.