A distributed generation is a small-scale Installed in the customer density sources. The benefits of distributed energy resources is one example. To improve the reliability of power distribution system for the better. The increased reliability of power distribution system that is connected to the source of power distribution efficiency depends on the size of the supply and installation of power distribution are considered appropriate. To Evaluation the reliability in distribution system with the main purpose is to the minimization for customer interruption cost. The technique employed to minimization problem for customer interruption cost in solved by the developed tabu search algorithm together with reliability worth analysis that provide an indirect measure for cost implication associated with power failure. The developed methodology is tested with a distribution system of Roy Billinton Test System (RBTS) bus 2. Numerical results from the tests demonstrate that distributed generation can be used to promote economy and reliability of the distribution systems.

This research is a qualitative research. Aim to study how to handle an effective water management. Case study: Muang Samutsakorn District Samutsakorn Province. Either before implementation or during the process and post implementation after the project has been achieved. Sampling groups are agencies involved representing the effective water management resulting in helping Muang Samutsakorn Samutsakorn Province survived from the B.E.2554 mega flood crisis. Consist of Director Head of Engineering Water Delivery and Maintenance Project Phasi Charoen Irrigation Office 11. The research results are summarized below. 1. Pre-implementation Preparation by dredging various gutter in the canals removing all water obstacles installing more mobile water pumps at main pumping stations. Establishing working committee for flood solving and preventing Center. Furthermore check the readiness of tools to be used. 2. During the process Start running the operation center to solve the crisis and closely supervise the action plans. Co-ordinate between Nakhon Pathom Province Samutsakorn Province Bangkok Metropolitan Administration and Department of irrigation in administration of water management. Integrate all parties concerned like government and private sectors. 3. Post-implementation Continuously publicize the outcome. Repair the sewage and drainage system which are damaged from use. Make further sustainable plan for drainage system.

This research proposes a hidden Markov model for detecting machines with multiple fillers producing soft drink for quality control in order to reduce defective products. The proposed model is compared with a classical generalized estimating equations model (GEE). The monthly data the number of defective products the correctness and the time spending in correction were collected from a machine in a sample factory in Pratumthanee province. The two hidden states of the fillers are workable and unworkable. The states has a logistic distribution. The results show that the correctness of the filler error occurrence does not improve the probability of being in a unworkable state neither the period of time spending on correction. The current state seems to be the same as the previous state

Recently Hydraulic Press has been generally used as a labor-saving device in several functions through industrial section. Previously most of the factory merely concern about using this powerful device and that caused so much electric energy wasted during the pending process on equipment transformation. Therefore our team initiated a conceptual study of energy consumption on using hydraulic press. The invention of hydraulic press for the study of electric energy requires hydraulic devices installation. This includes 3.7 kW 3 phases system induction motor and VSD hydraulic pump single shaft 2 sets set 1 low flow high pressure at flow rate 3.65 liters per minute and set 2 high flow low pressure at flow rate 6.79 liters per minute and total flow rate 10.44 liters per minute pressure relief valve and 2 ports 2 positions Bypass control valve and 4 ports 3 positions directional control valve double acting cylinder 100 mm diameter and 250 mm stroke and pressure gauge. The experiment on energy consumption using hydraulic press has been considered in 5 cases. Each case operated by different hydraulic devices in order to observe the differences of energy consumption. The result of experiment showed that case 1 had electric energy lost the most the rate of loss will increase as a percentage of the increase in pending. Case 2 to 4 with the lost of electric energy are similar. Case 5 is bringing the case 4 added VSD to adjust the speed of the electric motor is reduced to 435 rpm during the waiting period so this case had the lost of energy is minimal. After comparative experiment between case 1 and the other 4 cases during the pending process on equipment transformation at 20% - 200% it revealed that case 2 reduced electric energy wasted more than case 1 accounted for 17.07% - 30.46% while case 3 to 5 reduced electric energy wasted more than case 1 accounted for 16.06% - 29.52% 17.37% - 30.80% and 23.90% - 50.55% respectively

This research proposes a Bayesian logistic regression model which is applied to the data from autoparts manufacturing machines. Factors related to defective and bad products are investigated. The proposed model is compared with the logistic regression using maximum likelihood method for parameter estimation. The data were collected from 132 machines in an autoparts manufacturing factory. The research found that useful life machine type 6 worker group 3 and 4 working step 1 and 2 influence to the risk of producing defective and bad products. When the useful life is increased by 1 month the risk of producing defective and bad products will be increased by 2.2%. The risk that the machine type 6 will produce defective and bad products is 4.078 times greater than the risk that the machine type will do. The risk that the worker group 3 will produce defective and bad products is 61.7% less than the risk that the worker group 12 will do. The risk that the worker group 4 will produce defective and bad products is 61.5% less than the risk that the worker group 12 will do. The risk that the working step 1 will produce defective and bad products is 2.831 times greater than the risk that the working step 4 will do. The risk that the working step 2 will produce defective and bad products is 13.8 % greater than the risk that the working step 4 will do. The parameter estimates from the Bayesian logistic regression are very close to the ones from the logistic regression using maximum likelihood method for parameter estimation