• Proceedings of the Korean Operations and Management Science Society Conference
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• 1989.10a
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• pp.151-153
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• 1989

이 글에서는 다음의 내용을 다루었다. 1. 목표 : 가. 수송비용 절감, 나. 대 고객 서비스(품질, 납기, cost)수준 향상 2. 목적 : 가. 종합물류 cost및 대고객 서비스 수준을 평가기준으로 한 종합물류 simulation모델의 개발과 운영, 나. 신규투자의 타당성검토를 위한 의사결정지원 모델의 개발과 운영, 다. 모든 관련 시스템 정보의 획득과 이용을 위한 정보망 유지 3. 기능구성 : (1) 자료관리, (2) 종합물류 최적화 모델, 가. 소비지 물량 배정 최적화 모델, 나. 생산 및 재고계획수립 모델, 다. 제품 수급계획수립 모델, (3) Presentation, 가. 통계분석 및 그래프 작성, 나. 보고서 작성, (4)외부시스템과의 interface 4. 특성 : Three OR/MS model approach

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.193-200
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• 2006

In case of domestic automobile manufacturers introduce and run a order production method, JIT system is to provide a necessary number of components for a right place timely which is a specific supply chain management is different from other occupations. This study is for establishing a efficient production planning and finding a management method to correspond with a manufacturing system and diversified supply chain management and building an information system to support it. For this, analyze the relevant business process and utilize various informations occur in supply chain of domestic automobile components manufacturer. It will contribute to not only reliability improvement of production management system but also satisfaction for due date of products.

• The KIPS Transactions:PartC
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• v.16C no.3
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• pp.307-316
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• 2009

RFID technique which is recognizable without the physical contact between the reader and the tag is the core to archive ubiquitous environment, and has been attracting a lot of interest from both industry and academic institutes. Especially, RFID based logistic service management can get the low priced cost and the advancement of the appointed date of delivery. In this paper, we first analyze security requirements of international logistics process, and then propose a RBAC based security model and represent access control constraints using UML.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1167-1170
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• 2012

SW 기업들이 SW 프로세스 개선(Software Process Improvement; SPI)을 개선하기 위해 많은 관심과 노력을 투입해 왔음에도 불구하고, 이런 SW 프로세스 개선 활동이 풀질, 비용, 납기준수에 어떠한 영향을 주는지에 대한 구체적인 자료들이 부족한 편이다. 사례를 기반으로 하는 기존 연구의 결과는 대기업을 대상으로 특정 방법론의 효과성에 초점을 맞추고 있다. 본 연구에서는 SW 프로세스 개선활동들에 대한 이해의 폭을 넓히기 위해 국내 SW 개발 조직의 프로젝트 관리자를 대상으로 SW 프로세스의 이행과 프로젝트 비용에 대한 데이터를 수집하였다. 이를 기반으로 SW 프로세스 개선 모델이 제시하고 있는 가정사항인 SW 프로세스 능력수준이 높으면 프로젝트 성과가 좋은지를 분석하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1444-1447
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• 2008

RFID 기술은 유비쿼터스 환경을 구현하기 위한 핵심기술 중 하나로 기술 개발과 시범사업 등을 통해 충분한 성장 가능성과 기술력 향상이 기대된다. 특히 물류 환경에서 RFID 기술 기반의 물류 환경 관리는 비용 및 납기의 개선 등에 큰 효율성을 가져올 수 있다. 이 논문에서는 RFID 기반의 국제 물류 프로세스에 대한 보안 위험 요소를 분석하고 이에 대한 보안 요구사항 및 보안 정책 방안을 기술한다.

• Journal of KIISE
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• v.45 no.3
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• pp.242-250
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• 2018

For high-quality software development, it is necessary to detect and fix the defects inserted. If defect management activities are not properly performed, it will lead to the project delay and project failure due to rework. Therefore, organizations need to establish defect management process and institutionalize it. Process standard models handle defect management in the area of project monitoring and control. However, small organizations experience difficulties in implementing and applying defect management process in a real situation. In this paper, we propose a defect management process for small organization which is designed in accordance with the characteristics of a small projects such as few participants and short development period. The proposed defect management process will be based on a tool chain with open source software such as Redmine, Subversion, Maven, Jenkins that support a defect management process and SW Visualization in systematic way. We also proposed a way of constructing defect database and various methods of analyzing and controlling defect data based on it. In an effort to prove the effectiveness of the proposed process, we applied the process and tool chain to a small organization.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.1-6
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• 2019

This paper examines the complexity of recent SW development such as the 4th industry to apply the requirement engineering and redimimn application to the project to solve the difficulty of scope management during project management of medium and small businesses. These engineering techniques were applied to mid-sized and small-sized SW development projects. It was verified through supervision of 15 SW development projects. As a result, we observed about 30% reduction in related issues. In addition, Redmimn was introduced to SW development projects involving medium and small sized companies, and it proved that it has the effect of shortening delivery time through requirement management and tracking management. In order to secure the safety of the SW system development project, it is necessary to apply the required engineering techniques and tools, and it is necessary to continuously cultivate professional manpower to carry out this.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.213-221
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• 2002

e-비지니스환경에서의 SCM의 성공적인 추진을 위해서는 우선 e-business 전략과 Supply Chain 관리 전략의 상하 연계, 조직측면에 있어서의 경영자의 변화에 대한 혁신 능력과 리더쉽, 조직 구성원들과의 비전 공유, 저보기술(IT)을 활용한 보다 차별화된 서비스가 제공되어야 한다. 본 연구는 C기업의 사례로 통해, 기존의 SCM 기법에서 정보기술(IT)의 급속한 발달과 인터넷의 급속한 보급, 그리고 e-비지니스의 등장으로 인하여 경영환경의 변화라는 새로운 패러다임 하에서 다수의 경쟁기업, 정보 네트워크시스템 기반에서 보다 효과적으로 기업과 고객에게 대응하기 위한 기업의 구체적이고 실무적인 전략 측면에서 다루어 보았다는 데 그 의의가 있다. 소비재, 생활용품에 있어서 보다 빠른 납기, 보다 전문적이고 다양화되고 있는 고객의 욕구를 충족시키기 위해 제조기업 측면에서 어떻게 기존의 조직구조 및 업무 프로세스를 혁신 할 것인가를 실제 사례를 통하여 연구함으로써 동종 산업체나 또는 기업의 실무자들에게 있어 큰 도움이 될 것이다.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.177-190
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• 2021

Due to the development of the fourth industrial revolution technology, efforts are being made to improve areas that humans cannot handle by utilizing artificial intelligence techniques such as machine learning. Although on-demand production companies also want to reduce corporate risks such as delays in delivery by predicting total production time for orders, they are having difficulty predicting this because the total production time is all different for each order. The Theory of Constraints (TOC) theory was developed to find the least efficient areas to increase order throughput and reduce order total cost, but failed to provide a forecast of total production time. Order production varies from order to order due to various customer needs, so the total production time of individual orders can be measured postmortem, but it is difficult to predict in advance. The total measured production time of existing orders is also different, which has limitations that cannot be used as standard time. As a result, experienced managers rely on persimmons rather than on the use of the system, while inexperienced managers use simple management indicators (e.g., 60 days total production time for raw materials, 90 days total production time for steel plates, etc.). Too fast work instructions based on imperfections or indicators cause congestion, which leads to productivity degradation, and too late leads to increased production costs or failure to meet delivery dates due to emergency processing. Failure to meet the deadline will result in compensation for delayed compensation or adversely affect business and collection sectors. In this study, to address these problems, an entity that operates an order production system seeks to find a machine learning model that estimates the total production time of new orders. It uses orders, production, and process performance for materials used for machine learning. We compared and analyzed OLS, GLM Gamma, Extra Trees, and Random Forest algorithms as the best algorithms for estimating total production time and present the results.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.123-135
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• 2018

The objective of this paper is to investigate the issues related to the supply chain management in plant engineering industry, and propose the framework to improve the project efficiency. The preliminary case study shows that EPC's fragmented nature, lack of coordination and information sharing, and lack of proper risk and change management contribute to project delay and cost overrun. To examine the level of informatization and information sharing in supply chain, survey responses from the suppliers and subcontractors have been collected. The statistical results show that information sharing, early involvement in design process and awareness in SCM have influenced the level of collaboration, but supplier assessment and informatization have no impact on the collaboration. A conceptual model is proposed in order to facilitate the integration of design, procurement and construction functions. Implications from the study are also provided.