• 한국기계연구소 소보
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• s.19
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• pp.171-180
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• 1989

The automation of textile machinery in the fabric manufacture is strongly demanded in order to improve the industrial structure related to labour-force and cost curtailment, in addition, to keep step with the various and small production system and the consumption tendency requesting a high quality fabrics. In this thesis, the technology applying the computer to an air jet loom and characteristics obtained from it are derived. To efficently apply an automized and unmanned textile machinery, an air jet loom is equipped with the let-off, take-up and weft insertion device attached a central processing unit(CPU) which can automatically operate according to a program. As a result, an air jet loom is available for the factory automation, which has advantages including productivity promotion, high quality security, energy savings, specification & variety, efficient production control, in fabric manufacturing process.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.2
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• pp.249-260
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• 1997

The manufacturing environment is rife with nonlinear processes. In this context, an intelligent production controller should be able to predict the dynamic behavior of various subsystems as they react to transient environmental conditions, the varying internal condition of the manufacturing plant, and the changing demands of the production schedule. This level of adaptive capability may be achieved through a coherent methodology for a learning coordinator to predict nonlinear and stochastic processes. The system is to serve as a real time, online supervisor for routine activities as well as exceptional conditions such as damage, failure, or other anomalies. The complexity inherent in a learning coordinator can be managed by a modular architecture incorporating case based reasoning. In the interest of concreteness, the concepts are presented through a case study involving a knowledge based robotic system.

• Journal of Technology Innovation
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• v.7 no.2
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• pp.101-118
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• 1999

Factory automation(FA) is a part of technological innovation to make production process more efficient and it also facilitates technological innovation by accumulating the internalization ability of newly imported technology Introduction of FA, however, does not guarantee the increase of production efficiency and high product quality, moreover, the competitiveness of firm. The purpose of this paper is to analyze the relationship between firm's behavioral characteristics during implementation process of FA and organizational performance, and to find out success factors of FA. Results of the case studies for 4 SME's show that financial stability and the fitness between corporate strategy and the purpose of FA are the necessary conditions for successful implementation of FA. But the organizational restructuring for new manufacturing system, openness of all communication channels, and common mind of employees are also needed to achieve the high degree of performance from FA, especially the benefits of qualitative or organizational level.

• Nuclear Engineering and Technology
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• v.53 no.10
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• pp.3460-3463
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• 2021

Present computing power and enhanced technology is progressing at a dramatic rate. These systems can unravel complex issues, assess and control processes, learn, and-in many cases-fully automate production. There is no doubt that technological advancement is improving many aspects of life, changing the landscape of virtually all industries and enhancing production beyond what was thought possible. However, the human is still a part of these systems. Consequently, as the advancement of systems transpires, the role of humans within those systems will unavoidably continue to adapt as well. Due to the human tendency for error, this technological advancement should compel a persistent emphasis on human error reduction as part of maximizing system efficiency and safety-especially in the context of the nuclear industry. Within this context, as new systems are designed and the role of the human is transformed, human error should be targeted for a significant decrease relative to predecessor systems and an equivalent increase in system stability and safety. This article contends that optimizing the roles of humans and machines in the design and implementation of new types of automation in nuclear facility systems should involve human error reduction without ignoring the essential importance of human interaction within those systems.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.34 no.s01
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• pp.33-39
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• 1989

Ethylene gas classified as one of five major plant hormones plays an important role in various plant metabolism. The precise analysis of ethylene production of plants or plant parts is a valuable research procedure because knowledge of ethylene production facilitates measures of the physiological activity within the tissue. This paper describes procedures for analyzing ethylene from plant tissues by gas chromatography and discusses problems associated with extracting gas samples either by introducing a vacuum to plant samples or by using a hypodermic syringe. Introduced are a continuous flow system for efficient analysis and an automated system for sampling, analyzing, calculating and recording ethylene production data.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.18 no.34
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• pp.115-121
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• 1995

The objective of this study is to develope an effectiveness measurement technique for U-shaped JIT production line by computer simulation. A small and medium sized automobile brake master cylinder manufacturing plant is studied for productivity improvement The production line is analysed and improved by applying Low Cost Automation, special jigs and fixtures, and facilities layout changes. An experimental simulation model is built using SIMAN(SIMulation ANalysis) simulation software for the production system analysis.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.7
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• pp.779-789
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• 2014

Utilizing smart phones based on android applications in the field of FA(Factory Automation) or PA(Production Automation) is being deployed actively. In general, MDM(Mobile Device Management) is a crucial infra-structure to build such a FA or PA environment. In this paper, we suggest an open mobile device management platform and implement its prototype. The developed prototype consists of three modules such as DMS(Device Management Server), FUMO(Firmware Update Management Object) and SCOMO(Software Component Management Object). In addition, we suggest a security module based on the concept of the EAP (Extensible Authentication Protocol) and the AES (Advanced Encryption Standard). The suggested security module's prototype is applied to guarantee the data integrity in the process of communicating among DMS, FUMO and SCOMO for the purpose of utilizing smart phones based on android applications in a FA field. We also evaluate the performance of the implemented security prototype. According to our simulation results, the implemented prototype has a good performance in a FA environment and can be utilized in the other FA, PA or OA(Office Automation) environment with guaranteeing the security.

• Journal of information and communication convergence engineering
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• v.18 no.1
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• pp.61-68
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• 2020

In the era of the fourth industrial revolution, many production plants are gradually evolving into smart factories that apply information and communication technology to manufacturing, distribution, production, and quality management. The conversion from conventional factories to smart factories has resulted in the automation of production sites using the internet and the internet of things (IoT) technology. Thus, labor-intensive production can easily collect necessary information. However, implementing a smart factory required a significant amount of time, effort, and money. In particular, labor-intensive production industries are not automated, and productivity is determined by human skill. A representative industry of such industries is sewing the industry. In the sewing industry, wherein productivity is determined by the operator's skills. This study suggests that production performance, inventory management and product delivery of the sewing industries can be managed efficiently with existing production method by using smart buttons incorporating IoT functions, without using automated machinery.

• Journal of Institute of Control, Robotics and Systems
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• v.19 no.3
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• pp.262-267
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• 2013

This paper describes a vision based automation case study for the tire tread extruder line. To accurately measure the thread widths, two cameras with laser line illumination have been installed near the takeaway conveyer. The overall tread extruder line is then automated by controlling the speeds of take away conveyor and screw motor such that a difference between measured widths and the targeted data is minimized. By doing this, the conventional tread extruder line has been replaced by the developed automated computer system and with only one operator, increasing the production efficiency and reducing safety accidents.

• Transactions of Materials Processing
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• v.23 no.2
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• pp.75-81
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• 2014

Progressive dies are used for metal stamping during which multiple operations are performed in a sequence. Material is fed automatically from a coil into the press and advances from one die station to the next with each press stroke. Transfer dies are used in high-volume manufacturing for round, deep-drawn, and medium-to-large parts. Several different operations may be incorporated within a transfer die such as blanking, bending, piercing, trimming, and deep drawing. The main challenge in the current study is how to deform a seat cushion panel meeting the design specifications without any defects. A complex automation die manufacturing technology for the automotive seat cushion panel, mixing both semi-progressive die and transfer die for continuous production, was developed.