Journal of Bansomdej Engineering and Industrial Technology

Carbon Footprint

2024-12-30T11:16:33+07:00

The objective of this article will discuss about Carbon Footprint, which is a quantitative measure of the impact of products and services from human activities on the environment. It refers to the amount of greenhouse gases released from activities related to organizations or agencies, both directly and indirectly, that cause an impact on the environment. There are 7 greenhouse gases considered: carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6), and nitrogen trifluoride (NF3). The indicator is the Global Warming Potential (GWP). It is well known that our IT industry also contributes to global warming. Therefore, we should study about carbon footprint and cooperate to reduce pollution as much as we can. Carbon Footprint is an important indicator to control organizations and industries that conduct activities that release excessive greenhouse gases that will affect the environment in the future. To better understand Carbon Footprint, this article discusses what Carbon Footprint is, the different types of it, and why modern organizations need to consider it.

Reducing Waste in the Plastic Bottle Cap Production Process by Applying the DMAIC Principle: A Case Study of XXX Co., Ltd.

2025-01-13T06:12:12+07:00

This research aims to identify the causes of waste in the plastic bottle cap production process and reduce the waste ratio by applying the DMAIC principle along with quality control tools such as Pareto charts and fishbone diagrams. These tools are used to systematically analyze these problems, identify their root causes, and determine clear solutions. The analysis finds that the main causes of waste during setup after machine maintenance are: (1) Machinery: lack of proper maintenance, resulting in frequent breakdowns. and (2) Procedures: absence of standardized work instructions and insufficient in-process quality checks by employees. To address these issues, corrective measures are proposed, including the implementation of a pre-operation readiness checklist and the development of a preventive maintenance plan. The results show a significant reduction in waste caused by setup after machine maintenance. The combined defective output from Machines A and B decreases from 13,366 kilograms (5.16% of total production) to 1.8%, representing a 3.36% reduction. This study demonstrates that the DMAIC principle can serve as a model for addressing waste issues in other plastic manufacturing processes within the company. It helps to further reduce waste and lower production costs for the company.

Banana dryer using renewable energy

2025-01-16T08:29:53+07:00

Currently, there is a lot of environmental pollution, including the air that causes problems in the production of dried food, resulting in more impurities, such as unclean air, PM2.5 dust, polluted air from various factories, exhaust fumes, and unseasonal rain. The resulting problems cause physical and mental health problems for both the person and the person who eats it. Therefore, researchers are interested in solving this problem by studying the creation of a banana dryer using renewable energy. The heat from the light bulbs from solar energy that generates electricity from solar panels and the heat from light bulbs that use electricity in general households can safely dry food by using bananas as dried food. Because bananas are a fruit that many households grow and are easy to find, they can be processed to store for a longer period of time or can be sold to generate income for the family.

The test results showed that drying bananas with a 12V 120W solar panel alone would take more than 4 hours. The moisture inside the bananas was still there, so when eating, they would still be moist. The measured humidity temperature was around 73%. For using a 100-watt and 60-watt light bulb, the drying time was 3 hours. The result was that with a 60-watt light bulb, some moisture remained inside the bananas, so when eating, they would not feel dry or too tough. The measured humidity temperature was around 66%.

Marigold Flower Size Sorting Machine

2025-02-11T08:49:12+07:00

This research is conducted with the objective of designing and creating a marigold flower size sorting machine to solve the problem of marigold size sorting use reduce time for sorting sizes and reducing errors from sorting. The marigold flower size sorting machine is designed with overall dimensions of approximately 1,211 x 2,450 x 1,546 millimeters. It consists of several key components, including machine structural kit, vibrator tray kit, conveyor and sorting kit, direction change kit, support tray kit, control unit, and so on. The test results of the marigold flower size sorting machine demonstrated its capability to efficiently sort 100 marigold flowers within a duration of 3 minutes, with a sorting error rate not exceeding 15%. Additionally, the machine exhibited precise counting accuracy, with an overcount error margin of up to 15% of the total flowers counted, aligning with the predefined objectives.

Area-Based Internship Recommendation System of Applied Data Mining

2025-04-09T08:28:30+07:00

This study aimed to 1) develop 2) evaluate and 3) examine the satisfaction of users of the Area-Based Internship Recommendation System of Applied Data Mining. The system was designed and developed to respond to the comprehensive performances. It was suitable for the abilities of everyone to search for establishments close to the accommodation. provide maps of the company's location and navigate to those locations. Establishments can advertise for interns that meet their needs. The developed system looks like a website, can be accessed through various browsers such as Google Chrome, Mozilla Firefox, and can be displayed on Pcs, smartphones, or tablets. It also had a map to show where individual companies and could navigate the interns to those places. Moreover, it could also advertise the recruitment of internship students in accordance with their requirements through the system. The system was developed a website-based on the Internet. It could be accessed through different browsers, such as Google Chrome and Mozilla Firefox. Its performance was displayed on PCs, smartphones and tables. The development approach based on the System Development Life Cycle (SDLC), and Apache was chosen as the server emulator for website. PHP was used for programming. MySQL was used for database management. The quality of the developed system was evaluated by 5 computer system experts. The result of evaluation was high (x ̅ = 4.16, S.D. = 0.62). The satisfaction of the system was evaluated by 30 respondents of the sample group. The result of assessment was high (x ̅ = 4.21, S.D. = 0.64).

Analysis of the Dry Density–Moisture Content Relationship of Clay Soil Using a Gaussian Model: A Case Study in Pathum Thani, Thailand

2025-04-18T14:29:08+07:00

This study investigates the relationship between dry density and moisture content of clay soil using a mathematical modeling approach, with a focus on a case study in Pathum Thani Province, Thailand. The Modified Proctor Compaction Test was employed to obtain data under controlled laboratory conditions. Soil samples were collected from the field, oven-dried at 105°C, ground, and sieved to achieve uniform particle sizes. These samples were then compacted in standard molds in multiple layers to reduce voids and increase density. Statistical analysis, including Analysis of Variance (ANOVA), was conducted to examine trends and determine the optimum moisture content for compaction. Predictive models including Polynomial Regression, the Gaussian Model, and the Logistic Model were applied to estimate dry density based on varying moisture contents. The Gaussian Model demonstrated the highest predictive accuracy, supported by the lowest values of RMSE and MAE. It predicted a peak dry density of 1.505 g/cm³ at an optimum moisture content of 9 percent. The findings are consistent with previous research and suggest that the Gaussian Model is well suited for analyzing the compaction characteristics of clay soils. The results can be applied to geotechnical engineering design and construction planning in regions with similar soil profiles.