• Journal of Information Processing Systems
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• v.15 no.1
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• pp.181-188
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• 2019

A production system is a management system that supports all activities to perform production operations at the manufacturing site. From the point-of-view of a smart factory, smart manufacturing systems redesigned the concept of onsite production systems to fit the entire system and its necessary functional composition. In this study, we select the key functions needed to build a smart factory for a PCB line and propose a new six-step model for the deployment of a smart manufacturing system by integrating essential functions. The smart manufacturing system newly classified the production and operation tasks of PCB manufacturing and selected necessary functions through requirement analysis and benchmarking of advanced companies. The selected production operation tasks are mapped to the functions of the system and configured into seven modules, and the optimal deployment model is presented to allow flexible responses to the characteristics of the tasks. These methodologies are first presented in this study, and the proposed model was applied to the PCB line to confirm that they had significant changes in the work method, qualitative effects, and quantitative effects. Typically, lead time and WIP have reduced by about 50%.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.833-834
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• 2006

In this paper, It is proposed collecting, processing, and learning of data with PIC16F877 and Acode 300[3], constructing database in PC. The PIC16F877 microcontroller nodes are the radio sensor and the DC motor controller. The PC of flexible factory level construct the data-table for object-oriented optimal environment control. The DC Motor control command is decision with back-propagation.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.29-37
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• 2017

In this study, real-time monitoring is carried out in the factory site for product quality control such as improvement of productivity through facility automation, improvement of product quality, improvement of factory environment, check of facility maintenance status and check of product defect, And to establish a smart factory for the purpose of protecting the personal environment of the worker. The company is an auto parts company located in the province. The main research content is development of automation and monitoring system of oil filter clipping necessary for smart factory. Smart factory oil filter clipping automation is divided into electric air parts, solenoid valve and other parts processing process. Smart factory quality inspection monitoring system is implemented by server PC and S / W, client software, Operator PC, operating program, and input terminal application. This research data is expected to be very useful data for the auto parts venture companies that are promoting smart factories.

• Journal of the Korea Society of Computer and Information
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• v.25 no.7
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• pp.143-150
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• 2020

Recently, many companies are interested in smart factory services. Because various smart factory services are provided by the combination of mobile devices, cloud computing, and IoT services. However, many workers turn away from these systems because most of them are not implemented from the worker's point of view. To solve this, we implemented a development tool that allows field workers to produce their own services so that workers can easily create smart factory services. Manufacturing data is collected in real time from sensors which are connected to manufacturing facilities and stored within smart factory platforms. Implemented development tools can produce services such as monitoring, processing, analysis, and control of manufacturing data in drag-and-drop. The implemented system is effective for small manufacturing companies because of their environment: making various services quickly according to the company's purpose. In addition, it is assumed that this also will help workers' improve operation skills on running smart factories and fostering smart factory capable personnel.

• KIPS Transactions on Computer and Communication Systems
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• v.8 no.12
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• pp.297-304
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• 2019

The technological advances such as communication, sensor, and artificial intelligence lead smart factory construction. Smart factory aims at efficient process control by utilizing data from the existing automation process and intelligence technology such as machine learning. As a result of constructing smart factory, productivity increases, but costs increase. Therefore, small companies try to make a step-by-step transition from existing process to smart factory. In this paper, we have proposed a remote control system that support data collection, monitoring, and control for manufacturing equipment to support the construction of CNC cutting machine based small-scale smart factory. We have proposed the structure and design of the proposed system and efficient sensing data transmission scheme. To check the feasibility, the system was implemented for CNC cutting machine and functionality verification was performed. For performance evaluation, the web page access time was measured. The results means that the implemented system is available level.

• Journal of the Korean Society of Safety
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• v.27 no.4
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• pp.20-25
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• 2012

The purpose of this study is to analyze the thermal characteristics and to study fire hazard of electric leakage by iron power accumulated on circuit breaker in an iron processing factory. The thermal characteristics were analyzed while current was applied to the powder for ten minutes. Results showed that temperature of iron powder at 100 mA is $160^{\circ}C$ and at 175mA is $240^{\circ}C$. The sparks have occurred as iron powder drops between two(hot line and neutral line) wires and then iron powder explosion occurred while dropping continuously the iron powder on two lines. Those who work in the iron processing industry need to periodically remove and maintain the iron powder. The thermal characteristics in this paper can be used for electrical fire investigation and for basic data of thermal characteristic of leakage current through iron powder at iron processing factories.

• Proceedings of the KIEE Conference
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• 1999.11c
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• pp.677-679
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• 1999

In this paper, an integration tool for the factory automation communication is proposed. It can apply to three kinds of Fieldbus, Manufacturing Message Specification and Personal Digital Assistance based systems in the factory environment. This paper focuses on the development of the testing tool and object-oriented design concepts for the synthesis of communication modules from the factory level to the field level. The integration of each communication module in the distributed environment gains importance for the realization of heterogeneous information processing systems.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.115-123
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• 2021

Manufacturing execution system is a factory information system that handles production-related quality data as well as executes production plans of process unit for all resources in the production process on site. As the 4th industrial revolution, which maximizes an automation and connectivity with artificial intelligence, has become a hot topic, manufacturers are showing interest in building a smart factories, but enormous construction costs and unstandardized production processes are obstacles to smart factory construction. Therefore, this paper designs and implements a manufacturing execution system for building a smart factory in a deterioration factory. we propose a Web-based manufacturing execution system aiming at a smart factory at the basic level for steel wire processing. The proposed system will smoothly support interworking with the existing ERP system using REST APIs, and will consider extensibility so that it can be used in various devices and browsers. We will show practicality by implementing the proposed WoT-based manufacturing execution system.

• Korean Journal of Food Science and Technology
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• v.14 no.3
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• pp.232-235
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• 1982

In order to establish the energy conservation strategy in canning of acid food, the enery consumption of peach canning factory was monitored. The energy intensity was investigated and quantification of thermal and electrical energy was undertaken in individual operations. For processing of 1 kg raw peach, thermal energy 864 kcal and electrical energy 0.045 KWh was consumed in overall factory. From daily processing of 14 M/T peach, 2060 kg waste like seeds and 1510 kg low grade product were produced, and syrup of 6240 kg was prepared for filling in can. Enery intensive operations were lyepeeling(35%) and pasteurization(53%). Steam quality in the monitored factory was in the range of $87{\sim}88%$ with no difference among processing lines and 23% of supplied thermal energy in pasteurization was utilized actually for heating food.

• Journal of the Korean Society of Tobacco Science
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• v.25 no.1
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• pp.20-26
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• 2003

To investigate the effects of reduction of leaf processing factories on the uniformity of processed leaf quality, the contents and their C.V.(Coefficient of Variation) of chemical constituents of flue-cured leaf tobacco produced from 1997 to 2001 and processed at various factories were analysed. The average leaf chemical contents of 12 grades for 5 years ranged as follows ; nicotine 2.00∼0.85%. total sugar 10.7∼16.9%, total nitrogen 2.36∼2.78%, crude ash 14.6∼15.6% and chlorine 0.50∼0.75%. The variations of chemical contents among crop years was higher in total sugar content while lower in crude ash content. The C.V. of chemical content in same grade leaves was higher in chlorine content while lower in total nitrogen and crude ash contents, and the ratio of C.V. among processing factories/C.V. in total population was higher in total sugar content while lower in crude ash content. When the leaves were processed at one factory, the deviations of chemical contents reduced considerably. Particularly, the decreasing effect of deviation was higher in total sugar content.