• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.194-200
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• 2021

This study proposes a plan to construct an integrated platform that reduces manufacturing costs and efficiently produce by integrating the systems of main producers, production subcontractors, and raw material subcontractors for the production of food packaging containers. The production plan of food packaging containers and raw materials is established in real time between the main producers, production subcontractors, and raw material subcontractors in consideration of the demand characteristics of each product. It establishes basic information that all processes from the production planning stage to the forwarding stage of the product are linked to each other. The progress of each producer of interlinked processes is shared in real-time to improve productivity and quality of food packaging containers and raw materials and reduce manufacturing costs. By monitoring the system of the main producer and the production subcontractor in real time, the production of food packaging containers is performed in a timely manner, thereby improving productivity. The application of the plan-do-check-action (PDCA) process, which includes planning, execution, evaluation and improvement in the production operation processes of the main producer, production subcontractor and raw material subcontractor, enables improved production compliance rate. The contents of the main producers, production subcontractors, and raw material subcontractors are managed in real time, then a converged production management system is established through the platform proposed in this study to ensure timely supply and demand of raw materials without delay in ordering.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.3
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• pp.159-166
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• 2018

This paper introduces a manufacturing facility visualization system for the monitoring of smart factories. With the development of technology and the emergence of such terms as the Fourth Industrial Revolution and Industry 4.0, technologies for smart factories are becoming more important. A Manufacturing Execution System that can improve productivity and help decision making by monitoring production plants in real-time is one of the key technologies for smart factories. The application of digital twin technology for more accurate monitoring technology is also an important issue. However, digital twin implementations require an integrated infrastructure that can integrate facility data from multiple manufacturers. Therefore, this paper designs and develops a visualization program that can verify real-time information of facilities using data collection system based on international standard protocol for heterogeneous collection and monitoring of facility data. This allows a factory to consolidate equipment data from multiple manufacturers and to view them in real-time.

• Journal of the Korea Society of Computer and Information
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• v.17 no.2
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• pp.167-176
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• 2012

In this paper we design and implement a new Hybrid Equipment Data Acquisition System (HEDAS) for data collection of semiconductor and optoelectronic manufacturing equipments in the equipment engineering system(EES) framework. The amount of the data collected from equipments have increased rapidly in equipment engineering system. The proposed HEDAS efficiently handles a large amount of real-time equipment data generated from EES framework. It also can support the real-time ESS applications as well as non real-time ESS applications. For the real-time EES applications, it performs high-speed real-time processing that uses continuous query and filtering techniques based on memory buffers. The HEDAS can optionally store non real-time equipment data using a HEDAS-based database or a traditional DBMS-based database. In particular, The proposed HEDAS offers the compression indexing based on the timestamp of data and query processing technique saving the cost of disks storage against extremely increasing equipment data. The HEDAS is efficient system to collect huge real-time and non real-time equipment data and transmit the collected equipment data to several EES applications in EES framework.

• Journal of Korea Society of Industrial Information Systems
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• v.23 no.3
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• pp.35-48
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• 2018

Recently, We will analyzed the effects of supply chain management(SCM) execution factors on the competitive advantage, focusing on display industry, which is the most intense sectors in global competition. It is important for global companies to secure corporate agility to actively respond to rapid changes in the market. This study examines whether business agility influences competitive advantage and plays a mediating role between performance and competitive advantage considering market situation.. As a result, it was analyzed that three variables of strategic factors such as strategic partnership, information sharing, and information technology have statistically significant effects on firm agility and competitive advantage. Also, it is proved that corporate agility is mediating effect on SCM execution factor and competitive advantage. This study suggests that SCM in global manufacturing industry is a Business Management System(MIS) that must be operated in enterprise management.

• Journal of the Korean Society of Systems Engineering
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• v.2 no.1
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• pp.31-36
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• 2006

Development of launch vehicle needs a large-scale and complicated System Engineering discipline interfacing to small-quantity production with special manufacturing processes. In general, the System Engineering discipline of launch vehicle has its relationship with Production, Operations, Product Assurance and Management disciplines and its internal partitions into the functions of System Engineering Integration & Control, Requirements Engineering, Analysis, Design and Configuration and Verification. As a function of Product Assurance, reliability of launch vehicle plays an significant role in risk management, system safety, flight safety and launch certification through design assurance. Moreover, major functions of systems engineering are integrated by means of reliability in the phases of design and verification. Therefore, derailed identification of system engineering interfaces of reliability, and execution of tasks for reliability assurance is required for successful development of launch vehicle. This paper identifies specific pattern and mechanism of the interfaces between reliability and system engineering.

• Journal of the Korean Society of Safety
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• v.29 no.1
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• pp.86-92
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• 2014

This paper provides an integrated view on human and system interaction in advanced and automated systems, which adopting computerized multi-functional artifacts and complicated organizations, such as nuclear power plants, chemical plants, steel and semi-conduct manufacturing system. As current systems have advanced with various automated equipments but human operators from various organizations are involved in the systems, system safety still remains uncertain. Especially, a human operator plays an important role at the time of critical conditions that can lead to catastrophic accidents. The knowledge on human error helps a risk manager as well as a designer to create and control a more credible system. Several human error theories were reviewed and adopted for forming the integrated perspective: gulf of execution and evaluation; risk homeostasis; the ironies of automation; trust in automation; design affordance; distributed cognition; situation awareness; and plan delegation theory. The integrated perspective embraces human error theories within three levels of human-system interactions such as affordance level, psychological logic level and trust level. This paper argued that risk management process should dealt with human errors by providing (1) reasoning improvement; (2) support to situation awareness of operators; and (3) continuous monitoring on harmonization of human system interaction. This approach may help people to understand risk of human-system interaction failure characteristics and their countermeasures.

• The Journal of Information Systems
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• v.18 no.1
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• pp.77-95
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• 2009

In customer-oriented make-to-order manufacturing environments, the works of BOM changes due to the changes of product specification and engineering are closely connected with almost all departments such as sales, engineering, production, procurement, cost, after service, etc within an enterprise. So, the contents of BOM changes must be instantly reflected on the related works among the departments. To effectively process these complex works of BOM changes, types of changes on product specification and engineering and types of BOM changes linked with those must be systematically defined, classified and managed by information systems. Thus, it is necessary to introduce solutions such as BPM and SOA in order to efficiently deal with complex business processes like BOM change management. This paper proposes a methodology of constructing information systems based on BPM and SOA. The proposed methodology defines the relationship between processes of BPM for definition, execution, monitoring, etc of business processes and services of SOA for connection among information systems within an enterprise, and presents a scheme of practically applying BPM and SOA solutions to actual business works. To show an utilization of the proposed methodology, the prototype system for product BOM management is implemented in order to efficiently deal with the works of BOM changes due to the changes of product specification and engineering.

• Journal of Korea Multimedia Society
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• v.17 no.12
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• pp.1484-1493
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• 2014

Recently, Industry 4.0 (next generation industrial revolution) designed by Germany to retain initiative in manufacturing business is actively studied. Goal of Industry 4.0 is 'Smart factory' which manages progress of production, supply logistics and services. To achieve the goal, we can construct value creation and new business model by integrating organically with production management systems which is existing and cyber-physical systems, Internet of Things, Services Internet and sensor, etc. However, if integration with production management systems does not work effectively by adding and developing new technologies, It does not have performance. Hence, in this research, we will analysis Industry 4.0 which is possible for small quantity batch production and one of the light and flexible manufacturing systems, and based on this, we will suggest methodology to horizontally integrate with production management systems.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.190-193
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• 2017

인더스트리 4.0 또는 4차 산업 혁명이 큰 화두이고, 그 중심에 제조업의 스마트 공장으로의 변화는 필수불가결의 현상으로 이해되고 있는 상황이다. 이에 한국 정부에서는 스마트공장 보급 사업을 활발하게 추진하여 한국 내 중소기업을 대상으로 스마트 공장 관련 기술을 확산하고자 노력하고 있다. 하지만, 여전히 많은 기업들은 스마트 공장 구축 사업을 받아들이려는 의지가 부족하고 자발적으로 받아들이지 않고 있어, 정부의 사업 확대에 어려움을 가지고 있다. 따라서 스마트 공장 보급 사업을 확대하고 한국 제조업의 경쟁력을 강화를 도모하는데 있어서 과연 어떤 요인이 중소기업들로 하여금 정부의 스마트 공장 관련 사업에 참여하여 관련 기술을 받아들이고, 기업에 적용하게 되는지 분석은 중요한 의미를 가질 것이다. 본 연구는 지난 2년간 스마트 공장 관련 기술을 도입한 기업을 대상으로 한 실증 연구를 통해서 실증 연구를 통해서 스마트 공장 관련 기술의 수용을 위한 중요한 요인이 무엇인지 검증하고, 향후 스마트 공장 관련 기술의 보급 확산을 위한 정책 결정과 사업 추진에 효율적인 추진 방향을 제시하고자 한다.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.19 no.11
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• pp.64-69
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• 2020

To determine the effective factors for microparticle blasting with precise sequence position control in the x-axis and y-axis directions, we conducted a statistical experimental analysis of blasted square shapes by considering five condition factors. The control input and output were operated simultaneously by rotation-linear motion conversion and fine particles were blasted onto the aluminum specimen by precise position control driving using multiple execution codes. The micro-driving device used for processing was capable of microparticle blasting and of controlling the system through contact with a limit sensor at high speed and a two-degree-of-freedom driving mechanism. Our experiments were conducted on 1,050 specimens of pure aluminum (containing <1% of other elements). The effects of several factors (e.g., particle and nozzle diameters, blasting pressure, and federate and blasting cycle numbers) on the surface roughness and blasted surface's depth were verified through a statistical experimental analysis by applying the dispersion analysis method. This statistical analysis revealed that the nozzle diameter, the blasting pressure, and the blasting cycle number were the dominant factors.