There is a difficulty in using chemical in disinfestations process in organic rice products therefore this research was aimed to study the optimal setting of infrared radiation heating for disinfestations in Organic Hom Mali Rice. Disinfestations process and rice storage were collected by surveying coupled with interviewing the rice milling enterprise. The infrared radiation heating used in this experiment was belt type with lamp power of 1000 watt. In this study Design of experimental technique was applied to generate the optimum setting of the infrared heating process. The experiments generated by Box Behnken design were 15 experiments and 2 replicate times therefore the total experiments were 30 times. The 3 factors include heating temperature gap between rice and infrared lamp and rice layer thickness. The result from statistical data analysis at reliability level of 95 % shown that the optimization value were heating temperature of 70 oC height of lamp above rice of 10 cm. and rice thickness of 0.5 cm insects mortality rate within 2-3 minutes. Rice after heating were subjected to naturally slow cooling by air therefore rice quality in a good condition without broken or cracking.

Resource leveling schedule is important for construction planning process very much because quantity of resource such as labors is limited. The optimal solution to allocate enough resource for every activity is main principle for project successful. But in ordinary they always observe that have different quantity of resource every time periods is called of “Resource fluctuation”. So planners have to adjust first schedule is called of “Resource Leveling”. This method necessary for decrease resource fluctuations or make uniformly resource demand level . However normal method (heuristic method) to solve this problem is difficult and use much time. So in present there is new developed method by create model in spreadsheet computer programs such as Microsoft Excel. This new method can solve very complex resource leveling problem well..So in this research if we add vary relationship options such as SS (Start-To-Start) FF (Finish-To- Finish) or NO (No Relation) for activity in model objective is increasing optimal solution flexibly and output solution is better than El Rayes & Jun ‘s Model. We can discover for optimal solution from this new model that received uniformly resource demand level of project schedule in the end

Database system is a collection of information that can be easily accessed managed and updated. With the rapid expansion of the Internet database overload is increasing rapidly. Large amount of data complexity of information and needs for quick responses had caused critical problems of database access. One of the techniques to optimize effectiveness of query is to use SQL tuning. The improved SQL could speed up database access and save the resources of computer. This article introduces a tool called ‘execution plan for SQL tuning’. In addition an example is also provided to check the processing of SQL command.

The objectives of this research were to find the distribution of food demand for laying hens and to find the optimum amount of that food production which had minimum cost. The data consisted of customer purchase orders for the food of laying hens price of food for laying hens cost per unit for the food inventory cost related to food of laying hens in which the food was out of stock such as fine overtime urgent purchase for material. They were collected in 2008-2009 form a factory in Nakhonratchasima province. The collected data were analized in order to explore the distribution of the monthly food demand for the laying hens and to see the rate of inventory per unit. The results were used in the stochastic linear programming model for aggregate planning in which the optimum production minimum cost could be obtained. Programming algorithm in MATLAB and tools in Linprog software were used to get the solution. The distribution of the food demand for laying hens and the random numbers were used in the model. The study found that the distribution of food demand for laying hens every month has normal distribution (January to December). The monthly average amount of production from January to December were 10936.94 12913.74 11898.12 13096 15443.26 14916.33 10322.64 10818.21 11393.11 11700.72 9706.05 and 11702.05 respectively. The minimum total cost average for 12months was Baht 62422386.98.

This research considers the vehicle routing problem in a specific bakery making company where is located in Bangkok. This company has to produce and deliver the bakeries to its customers everyday. Until now this mentioned company generates the delivery’s route by using the experience taken from the company’s truck driver. The company has to daily use the route with unnecessary long distances. According to the given statement this research aims to develop algorithm to generate the delivery route for this company by using the Genetic Algorithm in order to minimize the transportation distances.