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.

The aim of this research is to paint silk fabric with batik technique using five natural dyes from margosa bark lac mango leaves marigold and otaheite gooseberry bark. The pre-mordant and after-mordant techniques were used in this work. Ten mordants Aluminum potassium sulphate Copper (II) sulphate Sodium dichromate Tannic acid Tartaric acid Tin (II) chloride and Calcium acetate-monohydrate were applied. The batik fabrics were characterized in color strength rubbing fastness washing fastness light fastness and stiffness. The result indicated that silk fabric painted with natural dye from margosa bark could use all 10 mordants to improve color strength and gave various shades of color. The silk fabric painted with natural dye from lac could not use all 10 mordants to improve color strength but it gave various shade. The silk fabric painted with natural dye from mango leaves marigold and otaheite gooseberry bark showed that almost 10 mordants gave higher color strength and various shade. The mordanting technique would give good fastness and reduce the stiffness of batik fabric.

This research was concerned about clothes production from remnant fabrics that can increase product value and meet market demand by using patchwork and appliqué technique. The research was conducted into 3 phases : data collecting prototype production and consumer satisfaction evaluation. Questionnaires were used as instrument for data collecting. The first one the researcher inquired; what kind of products that consumer expected to see from remnant fabrics and collected data as market demand in order to produce 9 prototypes by using patchwork and appliqué technique. Finally the prototype was provided to the sample group with the questionnaire in order to evaluate consumer satisfaction toward the prototype. The obtained data from the first questionnaire showed the most of sample was believed that product from remnant fabrics was a low price with poor quality and has no attractive design. The majority of sample interested in apparel product produced from remnant fabrics and sign of the zodiac was selected for decorative pattern. In comparison the result between the first and second questionnaire found that patchwork and appliqué technique could change people attitude toward the product from remnant fabrics. The satisfaction of sample group towards prototype product was ranging in high level. The most of sample group agree to patchwork and appliqué was appropriate technique for transformation and value added to remnant fabric. A price of prototype estimated by consumer was 2001 - 3000 baht per item.

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.

The objective of this research is to design forecasting support models on demand of durian for domestic markets and export markets for durian gardeners durian entrepreneurs of domestic markets and export markets and the Office of Agricultural Economics to plan durian demand conforming with domestic markets and export markets because of Production and marketing main problems (The Agricultural Information Center The office of Agricultural Economics: 2008) such as over - much durian production during production capital increased farmers durian sold price tended to be lower and lower inefficient domestic market management and more export but cheaper price therefore after that to design forecasting for the purpose in order that durian would not be over demand which is containing factors of the demand of durian fresh durian frozen durian paste and durian chips for domestic markets and export markets exported to Asia America Australia and Africa. The research involves historical collection data in the period of 2002 to 2008. The basic of forecast models are the designed and improved models using an intelligent knowledge-based approach beginning Moving average Deseasonalized Exponential smoothing Double exponential smoothing and Artificial neural network (ANNs) program within the model of new value Creation and comparative accuracy models. The evaluation result of forecasting durian demand showed that lowest MAPE of Deseasonlized models at 3 month was durian fresh durian frozen and durian paste but durian chips showed that lowest MAPE of ANNs at 4 input 10 hidden layers and 1 output was high accurate forecasting and optimal models. The analysis recommendations and error forecast of durian demand are also presented.