• KIPS Transactions on Computer and Communication Systems
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• v.8 no.2
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• pp.41-56
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• 2019

Cloud manufacturing is a new concept of manufacturing process that works like a single factory with connected multiple factories. The cloud manufacturing system is a kind of large-scale CPS that produces products through the collaboration of distributed manufacturing facilities based on technologies such as cloud computing, IoT, and virtualization. It utilizes diverse and distributed facilities based on centralized information systems, which allows flexible composition user-centric and service-oriented large-scale systems. However, the cloud manufacturing system is composed of a large number of highly heterogeneous subsystems. It has difficulties in interconnection, data exchange, information processing, and system verification for system construction. In this paper, we derive the user requirements of various aspects of the cloud manufacturing system, such as functional, human, trustworthiness, timing, data and composition, based on the CPS Framework, which is the analysis methodology for CPS. Next, by analyzing the user requirements we define the system requirements including scalability, composability, interactivity, dependability, timing, interoperability and intelligence. We map the defined CPS system requirements to the requirements of oneM2M, which is the platform standard for IoT, so that the support of the system requirements at the level of the IoT platform is verified through Mobius, which is the implementation of oneM2M standard. Analyzing the verification result, finally, we propose a large-scale cloud manufacturing platform based on oneM2M that can meet the cloud manufacturing requirements to support the overall features of the Cloud Manufacturing CPS with dependability.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.2
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• pp.73-83
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• 2011

In the manufacturing system, production-planning is very important in effective management for expensive production facilities and machineries. To enhance efficiency of Manufacturing Execution System(MES), a manufacturing system that reduces the difference between planning and execution, certain production-planning needs a dispatching rule that is properly designed for characteristic of work information and there should be a appropriate selection for the rule as well. Therefore, in this paper dispatching rule will be selected by several simulations based on characteristics of work information derived from process planning data. By constructing information that are from simulation into ontology, one of the knowledge-based-reasoning, production planning platform based on the selection of dispatching rule will be demonstrated. The platform has strength in its wider usage that is not limited to where it is applied. To demonstrate the platform, RacerPro and Prot$\acute{e}$g$\acute{e}$ are used in parts of ontology reasoning, and JAVA and FlexChart were applied for production-planning simulation.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.2
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• pp.149-156
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• 2011

There is much information of equipment in shop floor because the manufacturing processes are different as the equipment within the manufacturing process is varied. To provide effective process information to MES and other production systems, the DAS requires an equipment monitoring system that takes into account the characteristics of the equipment on the shop floor. In this study, we proposed some methods for collecting the required information about various equipments on a shop floor. The equipments such as CNC can be interfaced with the DAS by using a PLC-based method and a sensor-based interface board can be used to interface general equipments. The proposed methods can be used to collect information on the shop floor in real-time. Moreover these methods are very adaptive and can be easily modified according to the changes made to the shop floor. The information about a real shop floor acquired by employing these methods is saved in a database and the can be provided to a supervisor and MES so that they are aware of the status of the shop floor.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.213-220
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• 1999

최근 인터넷의 급속한 확산에 따른 전자상거래의 활성화는 조직과 규모 면에서 열세인 중소기업들의 판로 확장 및 홍보를 위한 새로운 대안으로 인식되고 있다. 그러나, 전자상거래 환경은 비약적으로 성장하고 있지만, 여전히 국내 중소기업들은 인력 및 자금의 상대적인 열세로 이러한 환경변화에 효과적으로 대응치못하고 있다. 본 논문은 이러한 문제를 해결하기위한 노력의 일환으로, 인터넷 상의 판매 에이전트를 지원할 수 있는 가상생산 에이전트(Virtual Manufacturing Agent)의 개발에 관한 내용을 담고 있다. 지금까지의 가상생산 시스템(Virtual Manufacturing Systme)에 관한 연구는 주로 설계, 공정, 제어 최적화에 그 초점을 두고 있으며, 가상생산 에이전트에 관한 연구는 이러한 문제를 지능형 에이전트 구조로 해결하고자 하였다. 본 논문에서는 이러한 기존의 연구와 달리 전자상거래 환경하에서 중소제조업체의 판매활동을 돕기 위한 판매에이전트를 실제 생산시스템과 연계하는 관점에서 가상생산 에이전트를 설계, 구현하였다.

• International Commerce and Information Review
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• v.11 no.3
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• pp.311-335
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• 2009

This study investigates the factors barrier the performance of Korean manufacturing firms in China. Also an empirical data use the field survey of Korean manufacturing firms in China. as a result, First, we find that employment-cost factor, that is rising labor costs, a change of occupation is an effect the performance of Korean manufacturing firms in China. Second, business beginning year and by 7 region factor is very significant on the performance of Korean FDI firms in china. And then, Korean corporate investment in China is a desirable form of long-term investment shall be determined. also we know that regions of China, differentiated investment approach is effective. finally, The result shows that FDI to China is need of the long term plan, and In actual use, these FDI should be applied flexibly in china business environment.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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• pp.411-415
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• 2001

Advances in computer and sensor technology have made it possible to obtain superlarge manufacturing process data in real time, letting us to extract meaningful information from these superlarge data sets. We propose a systematic data analysis procedure which field engineers can apply easily to manufacture quality products. The procedure consists of data cleaning and data analysis stages. Data cleaning stage is to construct a database suitable for statistical analysis from the original superlarge manufacturing process data. In the data analysis stage, we suggest a graphical easy-to-implement approach to extract practical information from the cleaned database. This study will help manufacturing companies to achieve six sigma quality.

• Journal of Institute of Control, Robotics and Systems
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• v.8 no.8
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• pp.706-712
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• 2002

In general, a deadlock in flexible manufacturing systems (FMSs) is caused by a resource limitation and the diversity of routings. However, the deadlock of industrial controllers such as programmable logic controllers (PLCs) can occur from different causes compared with those in general FMSs. The deadlock of PLCs is usually caused by an error signal between PLCs and manufacturing systems. In this paper, we propose a deadlock detection and recovery (DDR) algorithm to resolve the deadlock problem of PLCs at design stage. This paper employs the MAPN (modified automation Petri net), MTPL (modified token passing logic), and ECC (efficient code conversion) algorithm to model manufacturing systems and to convert a Petri net model into a desired LD (ladder diagram). Finally, an example of manufacturing systems is provided to illustrate the proposed DDR algorithm.

• International Journal of Advanced Culture Technology
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• v.1 no.1
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• pp.19-22
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• 2013

The basic principle of the product manufacturing technology using the 3D printing technique materializes the material including the high molecular substance or plastic and metallic dust, and etc. the product into the laminate additive manufacturing according to the design diagram gradually. It is applied to the various industrial field including the field of food division, field of home appliances, field of medicine, field of mechanical department and construction, etc.. The global development case of 3D printing technique is the next. This study described global technology and market trends. Afterward, 3D printing technique manages the important role when it exceeds the product manufacturing view just and is grafted with the various technology including the biotechnology, nanotechnology, and etc. and it improves the quality of the human life.

• 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.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1997.04a
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• pp.455-459
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• 1997

A methodology which supports the feature used from design to manufacturing for sculptured pocket is newly devlored and present. The information contents in a feature can be easily conveyed from one application to another in the manufacturing domain. However, the feature generated in one application may not be directly suitable for another whitout being modified with more information. Theobjective of the paper is to parsent the methodology of decomposing a bulky feature of sculptured pocket to be removed into compact features to be efficiently machined. In particular, the paper focuses on the two task: 1) to segment horizontally a bulky feature into intermediate features by determining the adequate depth of cut and cutter size and to generate the temporal precedence graph of the intermediate features and 2)to further decompose each intermediate feature vertical into smaller manufacturing features and to apply the variable feed rate to each small feature. The proposed method will provid better efficiency in machining time and cost than the classical method which uses a long string of NC codes necessary to remove a bulky fecture.