Karin Kandananond's research while affiliated with Valaya Alongkorn Rajabhat University and other places

Publications (32)

Article
Full-text available
The objective of this study is to optimize the fabrication factors of a consumer-grade fused filament fabrication (FFF) system. The input factors were nozzle temperature, bed temperature, printing speed, and layer thickness. The optimization aims to minimize average surface roughness (Ra) indicating the surface quality of benchmarks. In this study,...
Chapter
The accurate forecasting of electricity demand is an important issue. The objective of this study is the application of two forecasting methods, Box-Jenkin’s autoregressive integrated moving average (ARIMA) and artificial neural network (ANN), to fit a time series data of electricity demand. Three models of ARIMA, AR (1), ARMA (1, 1), and IMA (1, 1...
Article
Full-text available
Fused filament fabrication (FFF) is a 3D printing or additive manufacturing method used for rapid prototyping and manufacturing. The characterization and optimization of process parameters in FFF is of critical importance because the quality of the specimens produced by this method substantially depends on the appropriate setting of various signifi...
Conference Paper
The Accuracy of electricity demand forecasting is a key success factor of the organizational operation since energy is the crucial driven force of all activities. As a result, if executives in any organizations can accurately predict the future demand of the electricity consumption. They will be able to plan ahead the budget regarding the electrici...
Chapter
The capability of forecasting techniques is based on the historical data and the autocorrelation is one of the structures used to construct a predicting model. However, a special cause, which cannot be explained by the model, always randomly occurs in the process and can significantly downgrade the performance of the forecasting model. Therefore, t...
Article
Full-text available
Energy is the one of the most important driven forces of the organization activities. The energy consumption in the organization depends on two modes of utilization, fuel used for transportation and electricity generation. Since there is a significant relation between energy and environment, the impact of the energy production on the environment is...
Article
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Proper manual material handling (MMH) is the important step leading to the occupational safety of the workers on the shop floor as well as the productivity improvement of the manufacturing process. The objectives of this study are the application of different risk assessment methods, the redesign of the workstation to reduce the occupational risk a...
Conference Paper
Generally, water is regarded as one of the most important resources in every aspect of life. The reduction of water consumption is a crucial issue for both business and environmental perspectives. This study focuses on the integration of life cycle analysis (LCA), six-sigma, and water footprint method to reduce the water consumption in the agricult...
Article
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The Greenhouse Gas Emissions (GHG) accounting of the organizations is on the public focus in recent years since it reflects the contribution of the organization to the climate change. In this study, the emissions due to the energy related activities of a University in Thailand is assessed and reported as the performance measurement of the organizat...
Article
Carbon emission from the manufacturing sector is a critical issue which is concerned by the environmental authorities since the violation of the carbon emission cap might lead to the sanction by one of Thailand's largest trade partner, European Union (EU). As a result, it is important for the manufacturers to be able to assess their own products' c...
Conference Paper
This study focuses on the utilization of non-parametric to assess the distribution of repair times of a machine part as well as the prediction of the future values. There are two folds of objectives, namely, the distribution assessment of the repair times. The diagnostic graph, i.e., histogram and normal probability plot, as well as a non-parametri...
Conference Paper
The capability to optimize the surface roughness is critical to the surface quality of manufactured work pieces. If the performance of the available CNC machine is correctly characterized or the relationship between inputs and output is clearly identified, the operators on the shop floor will be able to operate their machine at the highest efficien...
Conference Paper
The dynamic characteristic of a drum boiler is complex and this complication leads to the difficulty in controlling the output of the system, i.e., steam pressure. Therefore, this study attempts to investigate the application of two model predictive methods, artificial neural network (ANN) and system identification, in order to assess the performan...
Article
The capability to assess the performance of machining processes is important to achieve the highest productivity for many idustries. As one of the most popular machining operations, turning process is widely used in the manufacturing of metal workpieces. However, since a crucial quality characteristic of any manufactured workpieces is surface rough...
Article
The modeling of an industrial process is always a challenging issue and has a significant effect on the performance of the industry. In this study, one of the most important industrial processes, a turning process, is considered as a black box system. Since it is also a dynamic system, i.e., its characteristics changing over time, the system identi...
Article
Full-text available
The implementation of statistical control charts under autocorrelated situations is a critical issue since it has a significant impact on the monitoring capability of manufacturing processes. The objective of this study is to assess the performance of control charts under different scenarios and to optimize the design of control charts to best deal...
Article
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Green supply chain is a supply chain system focusing on environmental impacts and the efficiency of energy used. A green supply chain will be achieved if a system is able to track down all information regarding the environmental influence. However, a green supply chain will not be possible without enterprise resource planning (ERP) implementation i...
Article
Product demands are known to be serially correlated. In this research, a first order autoregressive model, AR (1), is utilized to simulate product demand processes whose behavior are stationary. Since demand forecasting is important to the efficiency improvement of product supply chain system, different forecasting techniques are utilized to predic...
Article
Although the manufacturing businesses have played an important role in generating the highest GDP for Thailand, they also emit more greenhouse gas (GHG) than other sectors. Due to the cap and trade scheme by European Union (EU), the carbon footprint is the GHG emitted by products, organization or persons and it has to be tracked and recorded. Since...
Article
Electricity is one of the most important resources in the manufacturing process. This research has demonstrated the environmental impact caused from two fuel options for generating electricity, coal and mixed (oil/ petroleum gas/ hydro power), in Thailand. The case study is conducted on a sample plastic product, a polypropylene (PP) stacking chair....
Article
The life cycle of a polypropylene stacking chair is assessed in order to represent the environmental impact of a plastic product. The analysis is categorized into two phases, manufacturing and disposing. The manufacturing process of a chair concerns a prime material, polypropylene (PP) granulate, an injection molding process and a resource, electri...
Article
Full-text available
The performance of artificial neural network (ANN) and support vector machine (SVM) method for forecasting time series data is still an open issue for discussions among many authors in the literature. Hence, the purpose of this study is to characterize the capability of these two methods under the autocorrelation structure of time series and the mo...
Article
Full-text available
The accuracy of forecasts significantly affects the overall performance of a whole supply chain system. Sometimes, the nature of consumer products might cause difficulties in forecasting for the future demands because of its complicated structure. In this study, two machine learning methods, artificial neural network (ANN) and support vector machin...
Article
Full-text available
Demand planning for electricity consumption is a key success factor for the development of any countries. However, this can only be achieved if the demand is forecasted accurately. In this research, different forecasting methods-autoregressive integrated moving average (ARIMA), artificial neural network (ANN) and multiple linear regression (MLR)-we...
Article
This research aimed to evaluate the performance of the statistical control charts under the situation that the observations were correlated. The autoregressive moving average model, ARMA (1, 1), was utilized to characterize the disturbances. A process model was simulated to achieve the response, the average run length (ARL). The factorial design of...
Article
Since the performance of SPC charts is known to be seriously deteriorated because of autocorralated observations, the detection of an assignable cause is a critical task that most industrial practitioners have to deal with. For this reason, selecting the most appropriate control chart to seperate a shift among autocorrelated observations is a serio...
Article
In this study, autocorrelated processes following ARMA (1, 1) were examined with an attempt to evaluate the performance of different adjustment rules based on Deming 's Funnel experiment. The performance of each adjustment policy was assessed by considering the mean squared error (MSE). The results indicate that the most appropriate adjustment rule...
Article
The purpose of this research is to determine the empirical model for surface roughness in a turning process. This process is performed in the final assembly department at a manufacturing company which supplies fluid dynamic bearing (FDB) spindle motors for hard disk drives (HDDs). The workpieces used were the sleeves of FDB motors made of ferritic...
Article
This research aims to achieve the best cutting conditions for minimizing surface roughness in a turning process of ferritic stainless steel, grade AISI 12L14. The workpieces used were the sleeves of fluid dynamic bearing (FDB) spindle motors manufactured in the final assembly department at a factory which supplies FDB motors for hard disk drives (H...
Article
This industrial research aims to determine the optimal cutting conditions for surface roughness in a turning process. This process is performed in the final assembly department at a manufacturing company that supplies fluid dynamic bearing (FDB) spindle motors for hard disk drives (HDDs). The workpieces used were the sleeves of FDB motors made of f...

Citations

... At the highest printing speed investigated, the specimens obtained with layer height equal to 0.18 and 0.24 mm showed a poor surface finish. Such result can be attributed to the rise in surface roughness values with increasing layer thickness, as shown by Kandananond [18] and Chaidas at al. [19] Since surface roughness strongly affects both the interaction between the part and environment and the crack formation, these conditions were not considered in such study (values marked with X in the Fig. 1a). For each 3D printing condition, the electric energy consumption values were directly measured. ...
... Existen diferentes metodologías para evaluar impactos ambientales de diferentes actividades humanas sobre sistemas socionaturales. Entre estas se pueden relacionar la huella ecológica [12] , la de carbono [13] y la de la huella hídrica [14], entre otros. En el estudio se utilizó el concepto de la "huella hídrica", desarrollado en el 2002 por Arjen Hoekstra [15], porque resultados de evaluación de contaminación del agua se obtienen en unidades volumétricas que se pueden integrar a los estudios de demandas directas del agua y dar así a conocer de manera integral los efectos de uso y de contaminación del agua [16]. ...
... For predicting the electricity demand of two faculties, the ARIMA (0,1,1) model was shown to be the best fit. ARIMA (0,1,1), ARIMA (0,1,1)(0,1,1)12, ARIMA (0,1,1)(1,0,0)12, ARIMA (0,0,1)(1,1,0)12, and ARIMA (1,0,0)(1,0,0)12 were found to be the appropriate models for predicting electricity demand of other faculties [37]. Furthermore, ARIMA models were used to predict Ghana's electricity consumption. ...
... Universities have begun to integrate the measurement of the water footprint in their plans and actions aimed at improving their environmental performance. In this sense, the Valaya Alongkorn Rajabhat University (Thailand) (Kandananond, 2019) calculated the water footprint of the production of fuels and electricity consumed in the institution, and the Kathmandu University (Nepal) (Vaidya et al., 2021) evaluated the interaction between food, energy, and water. In both cases, these studies were conducted based on the water footprint method proposed by Hoekstra et al. (2011), in which the water use can be analyzed independently by concepts of blue water footprint (surface and groundwater consumption), green water footprint (rainwater consumption), and the gray water footprint (pollution of freshwater). ...
... Powell et al. (2017) focused on a dairy producer who adopted the DMAIC, which resulted in improved environmental performance, particularly in terms of waste and energy. Kandananond (2018) used the DMAIC model to assess the environmental impact of an activity, but although this is only indirectly linked to our study, Kandananond (2018) combined LSS methodology with environmental tools (LCA and water footprint), with the aim of increasing the sustainability of the agriculture sector. Other examples of links between LSS methodology and environmental themes that relate to other areas of study can be found in the literature (Kregel and Coners, 2018;Sealy and Scott, 2018). ...
... E n la fabricación de un automóvil se requiere el ensamble de una gran cantidad de componentes, mismos que son fabricados en diversos procesos de manufactura. Tradicionalmente, los procesos son automáticos lo que implica que la participación humana sea solo en actividades de carga y descarga de materiales, situación que pone en riesgo la integridad física de los trabajadores (1). Sin embargo, por el tamaño, el peso y las características del vehículo, los componentes llegan a ser difíciles de manipular por una o dos personas. ...
... The quantity of waste generated from and energy utilised during construction activities have been on the increase in recent times. The increase in waste generated and energy used during construction have been attributed to the rise in urbanisation and population growth which has heightened the demand for the construction of buildings and other infrastructures (Kandananond 2017). In order to minimise the negative environmental effect construction activities have on the environment, sustainable waste management (SWM) and sustainable energy management (SEM) have become necessary. ...
... Similarly, Kandananond [23] compared the ANN, ARIMA, and MLR methods based on yearly historical data (socioeconomic and electricity consumption data) in Thailand. Furthermore, Jaisumroum and Teeravaraprug [24] compared the performance of ANN and MLR methods to predict yearly electricity consumption in Thailand. ...
... SPC control charts can be applied in four main fields: process monitoring, planning, evaluating customer satisfaction, and forecasting [5], [6]. Statistical Process Control charts are technology that displays a graphical line to monitor whether a manufacturing process is in a statistical control. ...
... The effect of autocorrelation on CUSUM & EWMA's efficiencies have been addressed in literature, furthermore, in the presence of autocorrelation, these charts were quite sensitive. Autocorrelated observations were characterized by ARIMA models and residuals based on ARIMA model forecast values have been monitored via unique control charts [26]. ...