Journal of Bansomdej Engineering and Industrial Technology

Comparative Analysis of Specific Cost Consumption of Utilizing Cassava Rhizome as Household Cooking Fuel

2024-03-06T06:41:14+07:00

Currently, cassava farmers often have a large amount of cassava rhizomes left after harvesting, leading to pollution from burning and an increase in greenhouse gases. These leftover materials can be used as fuel to generate heat energy for cooking. This research aims to analyze the thermal efficiency and economic aspects of different types of stoves using cassava rhizomes as fuel, and to compare the specific cost consumption. The Water Boiling Test method is used, which involves different types of stoves and fuels: 1. Biomass stove with and without air supply, 2. Traditional stove (charcoal stove), both of which use cassava rhizomes left over from agriculture as fuel, 3. Gas stove using LPG, and 4. Electric induction stove using electricity. The research findings show that biomass stove with and without air supply, traditional, gas, and electric induction stove have thermal efficiencies of 22.12%, 18.49%, 27.26%, 37.35%, and 85.84%, respectively. Their energy consumption rates are 3.03 MJ/kWh, 5.63 MJ/kWh, 2.50 MJ/kWh, 0.62 MJ/kWh, and 0.63 MJ/kWh, respectively. Comparing the specific cost consumption of biomass stove with and without air supply, traditional, gas, and electric induction stove to gas stove, it was found that energy costs can be reduced by 91.28%, 89.35%, 93.16%, and 31.90%, respectively. In conclusion, using cassava rhizomes as fuel can help reduce household expenses. This research can be applied to agricultural waste materials in the future.

Vehicle Routing Management : VRM

2024-04-30T09:06:01+07:00

This research aims to increase the efficiency of plastic pellet transport routes for the case study company, which has a point to send plastic pellets in the route Bangkok - Chonburi - Samut Sakhon - Ayutthaya, by collecting the past of transporntation data of plastic pellets and analyzing the transportation routing data with using Vehicle Routing Management (VRM) program. In present, the case study company uses 1 pickup truck to transport the platic pellets to customers in 13 locations, by using the experience of the head of the transport deparment in routing transport together with the used of Global Positioning System (GPS) to determine the routing points of delivery to the deliver.Before improvement, the average fuel cost for transportation had been 1,802,864.40 bath per year,with an average transportation distance of 790.73 kilometer per year.After used the applying technique to analyze the transportation routes with the transportation routing modeling program,it can be help to reducing the fuel corts by 642,640.80 bath per, with an average transport distance of 508.87 kilometers per year and can reduce the distance of transportation by 281.86 kilometers per year accounted for 35.65%.

Forecasting the Demand of Surgical Mask to Raw Material Purchasing Planning

2024-06-23T13:47:34+07:00

The objectives of this research are (1) to study and analyze the customer demand for surgical mask using forecasting methods, and (2) to analyze the economic order quantity of raw material and reorder point for surgical mask production to reduce production costs. In the production process, the case study company sources materials from suppliers in China. Each order of raw materials is placed in large quantities to meet customer demand, leading to significant inventory. This occurs because the case study company lacks sales forecasting and does not establish reorder points for raw materials, resulting in increased storage costs. The study found that the historical customer demand data Patterns both trend and seasonal patterns. Therefore, the researchers chose to use Winters’ Exponential Smoothing Method to create a forecasting model. The appropriate order quantity was calculated to match customer demand. By comparing the actual customer demand data with the calculated order quantity using the forecasting model, it was found that the calculated order quantity based on the forecasting model had a forecast error of 0.56%. Moreover, the overall costs were reduced by 67.77%, or 68,155.74 THB per month, compared to the current ordering method.

Keywords: Forecasting, Economic Order Quantity, Reorder Point

Study of non-contact body temperature sensors for initial patient screening

2024-06-20T15:56:55+07:00

The objectives of this research are 1. to design and build a non-contact body temperature measurement system, 2. to study the error percentage of non-contact body temperature measurement sensors. The equipment used in the research consists of 1) Arduino UNO R3 board, 2) GY - 906 temperature sensor, and 3) LCD display screen. The temperature measurement experiment will start from a distance of 2 centimeters by increasing the distance by 2 centimeters up to 20 centimeters and testing 10 times per distance. Then calculate the percentage error of each distance. The experiment determines and controls the variables of temperature, brightness, and measurement position to be constant and appropriate to obtain accurate experimental results. The results of the experiment showed that the temperature monitoring system can work continuously, all parts can be disassembled for ease of movement, and the total cost of creating the workpiece is cheap. The work of the temperature sensor found that the distance that can measure the most accurately is 10 centimeters with an error of 0.06%. A suggestion for future research should be to experiment with comparisons with other models of temperature sensors in order to know the accuracy of various models of sensors that are commercially available, and to apply temperature sensors to monitoring systems, and prevent infection with the 2019 coronavirus by working with Internet of Things technology in other ways.

Customer Satisfaction Towards The Services of Kingkarn Transport Co., Ltd.

2024-06-25T09:52:05+07:00

The objective of this research is to study customer satisfaction with the services of Kingkan Transport Company Limited. This study has the objective. 1) To study personal information of customers who use the services of Kingkan Transport Company Limited. 2) To study the level of customer satisfaction with the services of Kingkan Transport Company Limited. 3) To Comparative study of customer satisfaction with the services of Kingkan Transport Company Limited, classified according to the nature of customer personal information in order to By studying the ability to provide services Inferential statistical analysis and collect data To test the assumptions in the analysis using statistics (One-Way ANOVA).

The results of the study can be summarized as follows: 1. Analysis of personal data. From the results of the data analysis, it was found that the majority were males, 156 people, accounting for 60 percent, females, 104 people, accounting for 40 percent, with the majority being 25 - 34 years old, 65.5 percent, with the highest value. Followed by those aged 45 years and over, 30.0 percent, respectively, and those aged 15 - 24 years, 10.0 percent, with the highest level of education having a bachelor's degree, 33.8 percent. Followed by a master's degree, 33.1 percent, respectively, and a doctoral degree, 11.9 percent, and most have Monthly income 20,001 -30,000-baht, 34.6 percent, opinions by different service quality There are different opinions regarding satisfaction with the services of Kingkan Transport Co., Ltd. Statistically significant at the 0.05 level.

Refuse Derived Fuel: RDF

2024-06-07T12:11:20+07:00

This article will talk about solid waste fuel, or RDF. Solid waste fuel, or RDF, is a form of solid fuel that is obtained by taking municipal waste and improving both its chemical and physical components, such as the digestion process. Waste separation process And has been improved in quality and has properties such as calorific value, size, humidity, density, and has consistent chemical and physical composition suitable for use as fuel for producing electrical energy. or heat energy The characteristics of solid waste fuels can be divided into 7 types: 1. RDF1 type: Using waste as fuel in the same condition as when it was stored without going through the waste transformation process, but large parts may be separated by hand. 2 . Type RDF2: Taking the collected waste through a process of separating non-combustible parts, such as metal and glass, grinding or chopping the waste to a coarse size. 3. Type RDF3: Taking the collected waste through a process such as Same as RDF2, but the size will be reduced so that 95 percent of the solid waste that is sorted has a size smaller than 2 inches. 4. RDF4 type takes the solid waste in the combustion process by making it stay. in the form of dust or powder with a size smaller than 0.0035 inches. 5. Type RDF5 takes the combustion portion of solid waste through a briquette process with a density greater than 600 kg/m3, with the addition of various additional components. into it to have the desired properties. 6. Type RDF6 takes solid waste in the combustion process through a process to make it into the form of liquid fuel. or semi-solid, semi-liquid 7. Type RDF7 takes solid waste in the combustion process through a Gasification process to produce Syn-gas that can be used as gaseous fuel.