Today Thailand has been facing the energy problems due to the limited sources of natural energy. Meanwhile the power consumption has been growing constantly and the tendency of consumption increases each year. Therefore to solve these energy problems especially in electricity-generating power which have been demanded throughout the country the National Economic and Social Advisory Council had a resolution to submit the Cabinet the comments on nuclear-electricity generation and proposed the government for approval on August 24 2003. The government assigned the National Energy Commission’s policy to set out the electricity production plan by nuclear power plant requiring that the power house during 2020-2021 will be established. The Electricity Generation Authority of Thailand (EGAT) has executed “the Power Development Plan 2007” established the many sets of committees to accommodate the plan and carried out surveying for dominant information for examples parameters and variables issues of resulting effect and economic expansion so that these would be summarized and submitted to the government under the production plan procedure set out by EGAT. According to the production plan for future energy reserves the new power houses have been established. To accommodate the economic expansion some potential factors needed to be taken into consideration included fuel supplied and low cost. Previous researches demonstrated that nuclear power plant was lowest on cost. In present study the appropriate model of unit cost for electricity generation in Thailand was examined. The equation was described below;....

Genetic algorithms are applied to the multiple products and multiple periods inventory lot-sizing problem with supplier selection under storage capacity. The objective of this research is to calculate the optimal inventory lot-sizing for each supplier and minimize the total inventory cost which includes joint purchase cost of the products transaction cost for the suppliers and holding cost for remaining inventory. It is assumed that demand of multiple products is known over a planning horizon. The problem is formulated as a mixed integer programming and is solved with genetic algorithms. Finally numerical example is provided to illustrate the solution procedure. The results determine what products to order in what quantities with which suppliers in which periods.

Thailand may experiencing The Dark World within 12 years in the future as the UK has revealed that could be found Crisis of Dark World after power not enough for The entire country in this Winter.[1] Thailand has to plan Thailands power capacity development within The National Energy Policy Committee (NEPC) The Cabinet in June 2007 assigned to the Ministry of Energy. Then Energy Policy and Planning Office (EPPO) and Electricity Generating Authority of Thailand (EGAT) have to plan Thailands power capacity development known as PDP 2007(Power Development Plan) Since 2007-2021 .Then first thing should take to forecast a shortage of power in Thailand. The Research found that Thailand may experiencing fuel shortages that will bring electricity such as Natural Gas in Gulf of Thailand will run out within 20 years Oil prices higher deterioration of the power plant about 5 plants. Current energy sources used to produce electricity to most of Thailand about. 66.19% of energy from natural gas remaining list is lignite approximately 12.60% coal 8.39% water energy 5.43% bought for 3.06% furnace oil 2.66% renewable energy 1.64% diesel oil 0.03% [2] The forecast demand of electricity since 2008-2021 is found since 2016 get start problem about Thailands capacity to produce electricity is 44562.8 MW but domestic demand is 44585.40 MW that mean capacity of energy is not enough for demand that lack approximately 295.6 MW. Thailand has to consider fuel source to bring electricity what be produced at lower costs to compete in international markets such as nuclear power plants etc.