• Journal of the Korean Society for Precision Engineering
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• v.23 no.11 s.188
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• pp.68-77
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• 2006

Nowadays, the increasing global competition forces automobile manufacturer to increase quality and to reduce the cost and time for manufacturing planning. To solve these problems, automobile manufacturers try to apply digital manufacturing technologies. In this paper, a concept of method for planning the digital assembly system is proposed. Based on the requirements of assembly tasks obtained through product analysis, the function and sequence modeling for assembly process is executed using the IDEF0 and UML model. For implementation of digital assembly system, the selected components are modeled by using 3D CAD tools. According to the system configuration strategy, lots of the alternative solutions for the assembly system are generated. Finally, the optimal assembly system is chosen by the evaluation of the alternative solutions with TOPSIS(Technique for Order Preference by Similarity to Ideal Solution) method. According to proposed procedure, digital laser welding system is implemented in DELMIA.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.21 no.48
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• pp.269-277
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• 1998

In this study, a traditional concept of sampling inspection plan for the quality assurance system is extended to a consideration of economic aspects in total production system by representing and analyzing the effects between proceding/succeeding production process including inspection. This approach recognizes that the decision to be made at one manufacturing process (or assembly process) determine not only the cost and the average outgoing quality level of that process but also the input parameters of the cost and the incoming quality to the succeeding process. By analyzing the effects of the average incoming and outgoing quality, manufacturing/assembly quality level and sampling inspection plan on the production system, mathematical models and solution technique to minimize the total production cost for a single product manufacturing system with specified average outgoing quality limit (AOQL) are suggested.

• Journal of Institute of Control, Robotics and Systems
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• v.17 no.8
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• pp.760-767
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• 2011

The flexibility and evolvability are critical characteristics of modern manufacturing to adapt to changes from products and disturbances in the shop floor. The technologies inspired from biology and nature enable to equip the manufacturing systems with these characteristics. This paper proposes an ant colony inspired autonomous manufacturing system in which the resources on the shop floor are considered as the autonomous entities. Each entity overcomes the disturbance by itself or negotiates with the others. The swarm of cognitive agents with the ant-like pheromone based negotiation mechanism is proposed for controlling the shop floor. The functionality of the developed system is proven on the test bed.

• Journal of Information Technology Applications and Management
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• v.19 no.3
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• pp.1-18
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• 2012

The present study highlights the conflict management levels in Indian manufacturing and Information Technology (IT) sectors. Nearly 110 samples from different organizations of manufacturing and IT have been collected using convenient sampling technique. Standardised scale on Organisational Conflict developed by Dhar U. and Dhar S. [2003] has been used which consists of twenty items on a four point scale. The study has shown that miscommunication at organizational level has been a reason for conflict in manufacturing organizations whereas intrinsic motivation at organizational as well as individual level has been found a reason for conflict in IT sector. The study bears implications for HR managers to develop policies and conflict management strategies so as to deal with the situations constructively at a particular level of conflict.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.7 no.4
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• pp.64-72
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• 1998

This paper a new approach to the design of machine vision technique with a camera modeling that accounts for major sources of geometric distortion, namely, radial, decentering, and thin prism distortion. Radial distortion causes an inward or outward displacement of a given image point from its ideal location. Actual optical systems are subject to various degrees of decentering , that is , the optical centers of lens design and manufacturing as well as camera assembly. It is our propose to develop the vision system for the pattern recognition and the automatic test of parts and to apply the line of manufacturing. The performance of proposed vision system is illustrated by simulation and experiment.

• Journal of applied mathematics & informatics
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• v.33 no.1_2
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• pp.77-87
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• 2015

Parallel lines are often used to increase production rate in many manufacturing systems where the main line splits into several lines in parallel, and after some operations, they merge into a main line again. Queueing networks with finite buffers have been widely used for modeling and analyzing manufacturing systems. This paper provides an approximation technique for multi-server two-stage networks with merge configuration and blocking which will be a building block for analysis of general manufacturing systems with parallel lines and merge configuration. The main idea of the method is to decompose the original system into subsystems that have two service stations with multiple servers, two buffers and external arrivals to the second stage are allowed. The subsystems are modeled by level dependent quasi-birth-and-death (LDQBD) process.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.119-122
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• 2002

Collimators were mostly produced by handwork and semi-automatic system in some companies. Under this situation, automatic manufacturing system for optical collimators is on the rise most essential technique in the development of optical communication components. In this study, automatic manufacturing system was designed and constructed to develop optical collimators with high functionality. Also optical collimators were manufactured using a developed automatic system. We have compared collimators made by automatic system and handwork fer performance test with a measured values of angle alignment, beam size and TIL. As a result, it brought a reduction of the tact time fur manufacturing and improvement of an efficiency of optical collimators, and then it was found that automatic system was indispensable for materialization of optical collimators with high functionality.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.63
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• pp.65-77
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• 2001

A more technical perspective is needed in estimating the effect of the Manufacturing Process for improving the Productivity, there are many statistical evaluation methods, convenience sampling, frequencies, histogram, QC seven tools, control chart etc. It is more important for the companies to use six sigma to reduce defective and improve the process control than the technical definition as a disciplined quantitative approach for improvement of process control and a new way of quality innovation. Process network analysis is a technique which has the potentiality for a wide use to improve the manufacturing process which other techniques can't be used to analyze effectively. It has some problems to analyze the process with feedback loops. The branch probabilities during quality inspections depend upon the number of times the product has been rejected. This paper presents how to improve the manufacturing process by statistical process control using branch probabilities, Moment Generating Function(MGF) and Sensitivity Equation.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.760-761
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• 2019

Smart manufacturing is a process of integrating computer-related technologies in production and by doing so, achieving more efficient production management. The recent development of supercomputers has led to the broad utilization of artificial intelligence (AI) and machine learning techniques useful in predicting specific patterns. Despite the usefulness of AI and machine learning techniques in smart manufacturing processes, there are many fundamental issues with the direct deployment of these technologies related to data management. In this paper, we focus on solving the outlier detection issue in smart manufacturing applications. More specifically, we apply a state-of-the-art outlier detection technique, called Elliptic Envelope, to detect anomalies in simulation-based collected data.

• Journal of Industrial Convergence
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• v.2 no.2
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• pp.31-46
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• 2004

The ratio of industrial injury in Korea is higher 2~4 times than advanced nations like Japan and Singapore, because the industrial injuries in small-medium industry are higher than large size industry. The investment ability is insufficient for working conditions and prevention of the industrial injuries in the small & medium industry. The industrial safety management of machinery manufacturing for transportation, chemical factory, textile product manufacturing, wire & circuit products for computer, plastic goods manufacturing, and metal products manufacturing was investigated. Therefore, the purpose of the paper is to recognize the seriousness of the industrial injuries, understand product, layout, and machinery, and working conditions, etc., and indicate safety engineering techniques for improvement of quality and productivity under this safety working conditions.