• Journal of Digital Convergence
• /
• v.13 no.12
• /
• pp.55-62
• /
• 2015

IT SMEs' product planning, product design, and manufacturing capabilities are of importance to creating their sustainable competitive advantages in the context of digital convergence. However, there have been few empirical studies investigating the relationships among them, which has made this research attempt to model the relationships and empirically test them. Especially, this study divided IT SMEs' product design capability into the product exterior and interior design capabilities and focused on the mediating effects of the product exterior and interior design capabilities between the product planning and manufacturing capabilities. By analyzing the 310 samples of Korean IT SMEs with the ordinary least squares regression analysis, this study has empirically revealed that IT SMEs' product exterior and interior design capability jointly and fully mediate the positive relationship between their product planning and manufacturing capabilities.

• Journal of the Korea Convergence Society
• /
• v.7 no.1
• /
• pp.189-196
• /
• 2016

The ultimate goal of this study is to investigate the cases with respect to smart factory that has been introduced by German government. To do this, the study suggest implications for manufacturing version 3.0 that is one of manufacturing revolution agendas in Korea. The main point of smart factory is the convergence between manufacturing and information and communications technologies such as CPS(Cyber-Physical Systems), MES(Manufacturing Execution Systems), 3D Printer, AI(Artificial Intelligence), and so forth. It is hard to accomplish a complete manufacturing automation. In fact, German government had experienced the failure in pursuing the smart factory agenda. But now the agenda is gradually realized by a variety of success stories from German. Thus, this study is to investigate the well-known success stories that came from German.

• Food Science and Industry
• /
• v.49 no.4
• /
• pp.19-30
• /
• 2016

Food industry in Korea is one of the most important manufacturing field since the history of this country. Recent days all industries in the world move to $4^{th}$ industrial revolution beginning from 1st revolution. This means that connections between human to human, human to things and things to things should be settled down. food industry in this country should escape from the conventional manufacturing fields until now and accept new or cutting edge technology NT including artificial intelligence robot system and platform system using Internet of Thing. To overcome the saturation condition of domestic food market, it should be extended our market to overseas. To do this Korean food industry should be reformed the processing system to convergence and fusion inner or multi-disciplinary research in not only research field but also manufacturing field. The food industry must introduce new technology and concept of controlling all manufacturing systems. This paper present the fields should be convergence and the field study together and the new techniques, methods and new products be developed in the future.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.21 no.5
• /
• pp.67-76
• /
• 2022

The customer demand for diverse colors in home appliances has increased. However, this has led to issues for manufacturers, such as ensuring cost effectiveness and high-level quality control. To resolve these issues, production engineers utilize computer-aided engineering (CAE) tools for injection-molding processes and assess the suitability of process parameters for products manufactured using the in-mold labeling method. CAE can solve various problems in manufacturing processes, thereby increasing production efficiency and decreasing manufacturing cost. In addition, it can be used analyze customer complaints related to surface defects, such as part differences and irregular spacing between parts, and ultimately reduce product returns. In this study, CAE was used to solve quality problems and implement the most economical manufacturing process.

• Journal of the Korean Society of Industry Convergence
• /
• v.25 no.5
• /
• pp.799-810
• /
• 2022

Welding work is a production work method widely used throughout the industry, and various types of welding technologies exist. In addition, many methods are being studied to automate these welding operations using robots, but in the ship manufacturing field, welding such as painting, cutting, and grinding is also the most common operation, but the manual operation ratio is higher than in other industries. Such a high manual labor ratio in the field of ship manufacturing not only causes quality problems and production delays according to the skill of workers, but also causes problems in the supply and demand of manpower. Therefore, this paper analyzed the reason why the automation rate is low in welding work at ship manufacturing sites compared to other industries, and analyzed the production process and field environment for small and medium-sized ship manufacturing companies that repeatedly manufactured with a small quantity production method. Based on the analysis results, it is intended to propose a robot system that can easily move between workplaces and secure uniform welding quality and productivity by collaborating simple welding tasks with humans. Finally, the simulation environment is constructed and analyzed to secure the suitability of robot system application to current production site environment, work process, and productivity, rather than to develop and apply the proposed robot system. Through such pre-simulation and robot system suitability analysis, it is expected to reduce trial and error that may occur in actual field installation and operation, and to improve the possibility of robot application and positive perception of robot system at ship manufacturing sites.

• Journal of Korea Multimedia Society
• /
• v.22 no.5
• /
• pp.601-612
• /
• 2019

As the $4^{th}$ industrial revolution is accelerating, IT convergence application technologies are attracting attention in various fields. In the manufacturing industry, Smart Factory technology, which is blended with IT technology, has been developed to solve the problem casued by the decrease of the labor force, and a monitoring server is required to remotely control the equipment or to inquire about the operation status of the factory. In this paper, we designed and implemented RESTful API for data sharing between factory equipment and monitoring server in Smart Factory. In order to verify the designed API, a testbed was operated for an actual plastics manufacturing plant. As a result, it was confirmed that the testbed can be operated normally in actual operating environment.

• Elastomers and Composites
• /
• v.57 no.2
• /
• pp.48-54
• /
• 2022

A polymeric adhesion promoter was synthesized to improve the adhesive strength of the Ni lead frame/epoxy composite. Poly(itaconic acid-co-acrylamide) (IAcAAM) was prepared by copolymerizing itaconic acid and acrylamide. We compared the adhesive strength between the Ni lead frame and epoxy composite according to the molecular weight of IAcAAM. The molecular weight of IAcAAM was controlled using an initiator, which made it possible to use IAcAAM in the epoxy molding compound (EMC) manufacturing process by modulating the melting temperature. The adhesive strength of Ni lead frame/epoxy composite increased with the addition of IAcAAM to the epoxy composite. In addition, as the molecular weight of IAcAAM increased, the adhesive strength of the Ni lead frame/epoxy composite slightly increased. We confirmed that IAcAAM with an appropriate molecular weight can be used in the EMC manufacturing process and increase the adhesive strength of the Ni lead frame/epoxy composite.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2018.10a
• /
• pp.69-71
• /
• 2018

Looking at Korea's manufacturing industry, there are many old manufacturing plants. In fact, the manufacturing process of the product inventory management and the unit price of the product are all created by using Excel, and the factory is operated by using it. Also, the operator can not predict the failure of the equipment in order to produce the product at work. Problems related to this may result in the loss of the documents during the instruction and work process between the manager and the worker, and the communication between the manager and the worker can not be properly performed, There is appear a situation in which the operation is continued by using the equipment without recognizing in the failure. In this paper, we propose a method for upgrading the aging manufacturing plant to improve the productivity and productivity of the product by predicting the efficient inventory management, unit price management, production volume, and the operator's failure prediction.

• ETRI Journal
• /
• v.30 no.5
• /
• pp.696-706
• /
• 2008

With the increasing need for intelligent environment monitoring applications and the decreasing cost of manufacturing sensor devices, it is likely that a wide variety of sensor networks will be deployed in the near future. In this environment, the way to access heterogeneous sensor networks and the way to integrate various sensor data are very important. This paper proposes the common system for middleware of sensor networks (COSMOS), which provides integrated data processing over multiple heterogeneous sensor networks based on sensor network abstraction called the sensor network common interface. Specifically, this paper introduces the sensor network common interface which defines a standardized communication protocol and message formats used between the COSMOS and sensor networks.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.10
• /
• pp.1447-1452
• /
• 2022

Seoul Special City, one of the world's top 10 cities and Metro City, has traditional urban manufacturing industries such as printing, sewing, and mechanical metals. Small business owners in these manufacturing clusters have developed in the form of mutual assistance. Due to the nature of the agglomeration site, each process is handled by an individual company. It is difficult for relatively small business owners to prepare order processing services that provide real-time logistics movement information between processes. This paper collects and analyzes existing logistics data for smooth order and delivery of small business owners in package manufacturing and special printing fields We design an artificial intelligence Fulfillment Service Platform system with CRNN, k-NN, and ID3 Decision Tree Algorithm. Through this study, it is expected that it will greatly contribute to increasing sales and improving capabilities by allowing small business owners in integrated areas to use individual orders and delivery customized services through the Cloud network.