Papers by Nara Samattapapong
Increasing Efficiency in the Process of Loading Goods into Containers through Lean Automation Concepts: A Case Study of 25kg Tapioca Starch Packaging
This study aims to address the One-Dimensional Cutting Stock Problem (1D-CSP) by developing an op... more This study aims to address the One-Dimensional Cutting Stock Problem (1D-CSP) by developing an optimized approach for designing cutting plans for one-dimensional construction materials with the primary goal of minimizing material waste during the cutting process. The methodology involves the implementation of a Matlab algorithm based on linear programming principles and uses data derived from previous studies to formulate efficient cutoff plans. The investigation entails an analysis of the collected data from relevant studies, focusing on total material consumption and loss within the cutting plans. The study begins by considering foundational variables, which encompass the length of the standard linear inventory, the required lengths for each type, and the overall quantity of required lengths. These parameters are then processed using Matlab software to establish a solution through linear programming. The comparative analysis involves evaluating the collected data to demonstrate the advantages of the proposed model. This comparison encompasses the assessment of standard linear inventory utilization, material utilization effectiveness, and the residual waste generated during the cutting process. In comparison to the first relevant research, the developed method yields a material cutting plan with a loss rate of 1.21%, requiring less than one standard linear material inventory-improving upon the original result of 1.24%. Similarly, when compared to the second relevant study involving ten cases, the developed method generates a material cutting plan with a loss rate of 6.45%, utilizing fewer than three standard linear materials.
Production Sequence Using Simulation Techniques: Case Study of Mineral Production Plants for Dairy Cow
Proceedings of the International Conference on Industrial Engineering and Operations Management
Proceedings of the International Conference on Industrial Engineering and Operations Management
This study's goals were to enhance nitroglycerin manufacturing efficiency through simulation, rec... more This study's goals were to enhance nitroglycerin manufacturing efficiency through simulation, recover nitroglycerin from the storage facility, and enhance nitroglycerine recovery and purge systems. It was found that the problem was nitroglycerin reflux. Therefore, the researcher created three alternatives to solve the problem. The system of Nitroglycerine Recovery and Purge was then simulated using the FlexSim program, and each alternative was tested. The results demonstrate that the alternative system-led Nitroglycerine Recovery and Nitroglycerine Purge System collaborate to produce Nitroglycerine, which is more efficient than other alternatives and can reduce production time. It can also improve the recovery of nitroglycerin. It also serves as a guideline for developing a real-world system and modeling it for training staff without wasting chemical raw materials or fuel energy.
Simulation-Based Application for Improving Carton Production Process
Ecoproduction, 2023
Operations and Supply Chain Management: An International Journal
One year ago, the coronavirus (COVID-19) virus began spreading around the world. Vaccines have no... more One year ago, the coronavirus (COVID-19) virus began spreading around the world. Vaccines have now been developed by a variety companies from different countries. Vaccines must be stored in good condition within cold boxes designed to keep vaccines within acceptable temperature ranges. This paper proposes a hybrid algorithm based on a chemical reaction called Hybrid Artificial Chemical Reaction Optimization Algorithm (HACROA) which has been used to design a vaccine cold chain network in northern Thailand. The scope of this research is to focus on the Office of Disease Prevention and Control Area 1 (Chiang Mai, Thailand). The objective of this research is to rearrange routes to minimize total travel distances. Experiments were conducted to compare the efficiency of the hybrid algorithm with other algorithms in term of the distance. The optimal parameters of the algorithm employed a statistical experiment theory namely full factorial design. Experiment design and analysis were adopted to investigate the factors that affect the performance of this algorithm. HACROA was able to rearrange routes and found a better solution than the other algorithms.
Production Scheduling for Parallel Machines Using Simulation Techniques: Case Study of Plastic Packaging Factory
2022 Winter Simulation Conference (WSC)
Enterprise Resource Planning of Thai Agricultural Cooperative
2021 IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA)
The objectives of the research, Enterprise Resource Planning of Thai Agricultural Cooperative, we... more The objectives of the research, Enterprise Resource Planning of Thai Agricultural Cooperative, were to create a new resource planning system so that Thai agricultural cooperatives could work more efficiently. The research was carried out, firstly, by studying the working process already in use by various agricultural cooperatives. The researcher then used the data from the study to develop a new information system, which would become the database - the heart - of all activities undertaken by these cooperatives. To clearly gain an understanding of the working process, the first step of this study was done by setting a sample group. Then, the researcher acquired and gathered all necessary data that can be used in the development of the system and analyzed them. The results were used in the making of a whole new information system in terms of interface designing and data arranging & managing. The satisfaction rated on the finished product by users were mainly at the “very satisfied” level and the average point given to the system was 4.75.
EasyChair, Nov 25, 2020
Mushroom cultivation requires an understanding of the appropriate environment and some related fa... more Mushroom cultivation requires an understanding of the appropriate environment and some related factors, especially the climatic conditions that are suitable for the growth of the mushroom. The factors include temperature, air, humidity, and light: in the stage of preparing the mushroom house, the aforementioned factors need to be properly acclimated for each type of mushroom. According to the significance of setting a suitable environment in the mushroom house that benefits the growth of mushroom, the researchers, therefore, propose a design of a watering sensor to control the temperature and humidity in the mushroom houses. The technology of Wi-Fi temperature and humidity sensor was used in this research and it can be automatically monitored the water system when the temperature or humidity does not meet the optimum values. The sensor provides the user with the convenience of controlling the temperature and humidity and it can be applied to a variety of mushroom farms as well. It was found that the measured value from the temperature sensor is slightly different from the thermometer. Besides, the Solenoid (water system control) is working normally. Therefore, it can be concluded that the temperature and humidity sensors displaying via Wi-Fi and the operation code of Solenoid (Turning on-off water) can work productively. However, further, development is still needed such as designing applications for monitoring temperature and humidity to be easier to use.
Productivity improvement of tapioca packing process through simulation modeling analysis
2018 5th International Conference on Industrial Engineering and Applications (ICIEA), 2018
This research has focused on the packaging process of tapioca powder and aims to offer guidance f... more This research has focused on the packaging process of tapioca powder and aims to offer guidance for improvements using simulation modeling approach to analyze problems and designing a better process. The results of the simulations were compared with the current operations, it was found that the most suitable option can reduce testing time by 19.02%, sealing time by 17.99%, transport time by 47.18%, moving time by 34.10% moreover it can reduce the number of employees by three people.
Modeling, Increasing Efficiency and Production Capacity in Melamine Dish Production Line
EasyChair, Nov 26, 2020
The purpose of this research was to study the relationship between variables that affect data sto... more The purpose of this research was to study the relationship between variables that affect data storage device quality. There are 93,506 samples of data storage device from 74 variables. There were 69 quantitatives variables and 12 qualitatives variables. The research tools is R Program. Use Pearson Correlation and Mutual Information to find the correlation between the data. The results of this research show that the relationship between the two method given the similarity factor. Comparing Pearson Correlation and Mutual Information. The Mutual Information method can be more accurately described than the Pearson
IOP Conference Series: Materials Science and Engineering, 2017
In general, industry requires an efficient system for warehouse operation. There are many importa... more In general, industry requires an efficient system for warehouse operation. There are many important factors that must be considered when designing an efficient warehouse system. The most important is an effective warehouse operation system that can help transfer raw material, reduce costs and support transportation. By all these factors, researchers are interested in studying about work systems and warehouse distribution. We start by collecting the important data for storage, such as the information on products, information on size and location, information on data collection and information on production, and all this information to build simulation model in Flexsim® simulation software. The result for simulation analysis found that the conveyor belt was a bottleneck in the warehouse operation. Therefore, many scenarios to improve that problem were generated and testing through simulation analysis process. The result showed that an average queuing time was reduced from 89.8% to 48.7% and the ability in transporting the product increased from 10.2% to 50.9%. Thus, it can be stated that this is the best method for increasing efficiency in the warehouse operation.
Journal of Industrial Engineering and Management, 2016
Purpose: The goal of this paper is to develop a pragmatic system of a production throughput forec... more Purpose: The goal of this paper is to develop a pragmatic system of a production throughput forecasting system for an automated test operation in a hard drive manufacturing plant. The accurate forecasting result is necessary for the management team to response to any changes in the production processes and the resources allocations.Design/methodology/approach: In this study, we design a production throughput forecasting system in an automated test operation in hard drive manufacturing plant. In the proposed system, consists of three main stages. In the first stage, a mutual information method was adopted for selecting the relevant inputs into the forecasting model. In the second stage, a generalized regression neural network (GRNN) was implemented in the forecasting model development phase. Finally, forecasting accuracy was improved by searching the optimal smoothing parameter which selected from comparisons result among three optimization algorithms: particle swarm optimization (PS...
Simulation-Based Application for Improving Drinking Water Production Process: A Case Study of The Drinking Water Factory in Chanthaburi
The objective of this research was to apply simulation techniques to reduce production time of th... more The objective of this research was to apply simulation techniques to reduce production time of the gallon drinking water production process due to the highest time production. The water production process which currently takes 26,966.34 seconds per 400 gallon or takes 67.42 seconds per gallon was studied. It was found that there was a problem with bottleneck during the water filling process. Therefore, three scenarios were generated to solve the problem then each scenario was tested using experimenting tool through simulation analysis process. The simulation model of the gallon drinking water production process was created using Flexsim ® simulation software. The results showed that the scenario which added 1 employee and added water filling machine was the optimal solution for increasing efficiency in the production process. By this scenario, the average production time was reduced to 17,093. 80 seconds per 400 gallon or 42. 73 seconds per gallon. The reduced production time was 9,873. 54 seconds or 2 hours 44 minutes or the average of reduced production time was 24.68 seconds per gallon which was equivalent to 36.
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Papers by Nara Samattapapong