• Title/Summary/Keyword: 주문 시스템

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A Deadlock Avoidance Method for Concurrent Part Flows in Flexible Manufacturing Cell

  • Chang-Ouk Kim;Kyung-Sik Kang
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.19 no.39
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    • pp.193-204
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    • 1996
  • 본 연구는 FMC(Flexible Manufacturing Cell)에 있어 상호 간섭이 없는 부품의 흐름을 제어하기 위한 교착제거방법(Deadlock Avoidance Method)에 대한 제안으로서, 이 방법이 주요한 장점은 첫째, FMC의 환경을 쉽게 적용시킬 수 있고 둘째, 공정상의 부품에 대한 dispatching 모듈이 협력하도록 설계되어 있다는 것이다. 교착제거방법은 두 개의 모듈로 구성되어 있는데 이는 순환발견알고리즘(A Cycle Detection Algorithm)과 원료주문 정책으로서, 특이할 만한 사항은 순환발견알고리즘을 채용하더라도 원료주문정책이 잘못될 수 있기 때문에 교착제거방법에 있어서 원료주문정책은 매우 중요하다는 것이다. 이를 위하여 교착전의 N-step 교착을 제거하고, 발견할 수 있는 교착제거방법과 N-step의 사전주무정책을 제시하였다.

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Design and Implementation of a Video-On-Demand System using Software RAID Technology (소프트웨어 RAID 기술을 이용한 주문형 비디오 시스템의 설계 및 구현)

  • Kim, Jong-Hoon
    • Journal of The Korean Association of Information Education
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    • v.3 no.1
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    • pp.22-32
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    • 1999
  • In this paper, a von system which is based on current computer technologies is implemented. This von system organizes many personal computers in a local network into a configuration server, storage servers, and clients. To provide reliability, the data is stored using software RAID technology. Also, multimedia services are client-based for efficiency. The software components of this von system are the von configuration software, the von configuration service software, the von management software, and the von service software. Only the von service software runs in the client, while all the others run in the configuration server. The operating system on which the configuration server is run is the Windows NT such that the software executes like the UNIX-daemon process in the Windows NT service manager.

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Fast Staggered Data Broadcasting and Receiving Scheme for Simple and Efficient Video on Demand Services (주문형 비디오 서비스의 복잡성와 대역폭 효율을 개선한 Fast Staggered 방식)

  • Kim Hong-Ik;Park Sung-Kwon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.7B
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    • pp.668-678
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    • 2006
  • In designing a video-on-demand (VoD) system, one of the major challenges is how to reduce the viewer's waiting time maintaining a given bandwidth allocation and how to reduce the client's buffer requirements. To solve these problems, many VoD schemes were proposed. However, most VoD schemes require managing many segments of a video, frequency channel hopping, and using many channels at the same time. Therefore, to the complexity is a barrier to implementation. In this paper, we propose a fast staggered broadcasting scheme which has a simple structure and substantially improved VoD efficiency. The numerical results demonstrate that the viewer's waiting time of the fast staggered broadcasting scheme is close to the fast broadcasting scheme and the buffer requirements of this can be adapt for demanding rate by adjusting the short front part of a video sizes.

Intellectual Ordering Agency System (지능형 주문대행업체 시스템 설계 및 개발)

  • Jeong, Yoo-Seon;Kim, Tae-Eun;Lee, Bo-Hyun;Yoon, Yong-Ik
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.145-147
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    • 2007
  • 현재 기술은 모든 생활을 간편하고 빠르게 할 수 있는 체제로 지속적으로 발전하고 있다. 그에 따라 발달된 기술에 맞는 컨텐츠의 개발이 필요하다. 시간의 효율적인 사용이 성공을 가늠하는 중요한 사회에서 본 연구는 숙명여대 학생을 대상으로 식사시간의 효율적인 사용법을 제안한다. 지능형 주문대행업체는 간편하고 빠르게 음식을 주문 할 수 있는 서비스를 제공한 프로그램이다. 이는 모바일과 웹상에서 간편하게 프로그램과 연계된 음식점 업체로 주문을 할 수 있고 최종 배달까지의 시간을 명시해 줌으로써 바쁜 현대인들의 효율적인 시간 관리에 도움을 준다.

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A Machine Learning-based Total Production Time Prediction Method for Customized-Manufacturing Companies (주문생산 기업을 위한 기계학습 기반 총생산시간 예측 기법)

  • Park, Do-Myung;Choi, HyungRim;Park, Byung-Kwon
    • 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.

Study of Intelligent Coffeeshop Management System based IOT (사물인터넷 기반의 지능형 커피숍 관리 시스템 연구)

  • Ahn, Byeong-Tae
    • Journal of Convergence for Information Technology
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    • v.7 no.3
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    • pp.165-171
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    • 2017
  • Recently, the development and dissemination of smart devices linked to the network are being actively performed, and IOT(Internet of things) is issued form of mutually cooperative relationship through interoperation within smart devices. In this paper, we propose an innovative intelligent coffee shop management system by sharing and cooperatively controlling smart devices and Internet devices. The system can order smartphones including kiosk orders and beacon-based user identification. And it is a system that can make custom order without grasping user location information using geofence. The paper provides weather, temperature, time and user-based recommendation services based on Big Data. Therefore, the system is increased cost reduction and work efficiency than general coffee shops.

Analysis of Design of an Ordering Status Monitoring System Based on UML (UML을 이용한 주문 물품 모니터링 시스템의 분석과 설계)

  • 최정규;정기완;변광준;윤영태;채승기;서상일;백종현
    • Proceedings of the Korean Information Science Society Conference
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    • 1998.10b
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    • pp.567-569
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    • 1998
  • 기업내 분산 이기종 시스템들을 통합하는 문제를 해결하기 위해 객체지향개발방법론을 이용해 분석 및 설계를 진행하고 그 결과를 개체 기술을 이용해 구현하려는 노력이 활발하게 진행되고 있다. 그러나 아직까지 객체지향 분석 및 설계에 대한 이해와 경험의 부족으로 인해 실제 업무에서 사용될 수 있는 시스템보다 실험적인 시스템의 개발에만 적용되고 있다. 본 논문에서는 주문자가 공장에 주문한 제품에 대한 생산 및 조달의 현재 상황을 주문자 및 공장에서 실시간으로 모니터링 할 수 있는 실제적인 시스템의 개발을 위한 분석 및 설계에 초점을 맞추고 있다. 이를 위해 UML 방법론을 선택하고 UML을 지원하는 CASE 도구를 이용해 분석 및 설계를 수행했으며, JAVA와 CORBA 기반의 분산 객체 기술을 이용한 시스템 구현을 위해 OMG IDL을 산출물로 획득했다. 본 논문을 통하여 제시된 객체지향 분석 및 설계의 예는 객체지향 개발 방법론을 이용해 분산 객체 시스템을 개발하고자 하는 개발자들에게는 방법론의 안정성 및 실무 적용 경험에 대한 정보를 제공한다.

A Integrated Suite for Database Benchmarks (데이터베이스 벤치마크를 위한 통합 도구)

  • Jeong Hoe-Jin;Lee Sang-Ho
    • The KIPS Transactions:PartD
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    • v.13D no.2 s.105
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    • pp.165-174
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    • 2006
  • As new database systems are developed or new functions are added to existing database systems, database developers or users would like to evaluate new database systems or new functions. This paper presents an integrated database benchmark suite. The integrated suite offers genetic benchmarks, custom benchmark, and hybrid benchmarks to users on a unified Web user interface. With regard to text data generation, the integrated suite supports eight data distributions with three data types. The integrated suite can also generate XML data in three different ways. Users can run benchmarks in realistic environments by performing the workload generation facility of the integrated suite, which generates composite workloads similar to real-world workloads. Using supporting tools, users can easily implement new generic and custom benchmarks in the integrated suite. An illustrative demonstration to add a new custom benchmark into the integrated suite is presented.

Designing an Efficient Supply Chain System by using the Portable GPS (GPS를 사용한 효율적인 물류관리 시스템의 설계)

  • 김동연;김진일
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2001.06a
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    • pp.57-60
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    • 2001
  • Most power retailers adopt systematic, integral supply chain system to minimize the logistics cost. However, small and medium sized retail shops that don't have a distribution channel, unavoidably spend a big amount of distribution cost. This study is to propose an efficient system to manage the information of trucks by using the portable GPS. This system includes the real-time mapping of truck location, the transmission of delivery information from the truck, and the algorithm concerning the selection of the most cost efficient truck.

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Hybrid Video on Demand Using Dynamic Channel Allocation (동적인 채널할당을 이용한 결합형 주문형 비디오 서비스)

  • Lee Suk Won;Park Sung-Kwon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.1A
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    • pp.91-103
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    • 2005
  • In designing a video-on-demand (VoD) system, the major challenge may be how to reduce the channels concurrently used maintaining the client's waiting time. For this reason, the various architectures which integrate the multicast streams with the unicast streams were suggested in order to improve channel efficiency in recent years. In combining multicast with unicast, the ways to group the unicast channels together are important so that clients can share the multicast transmission channels. This paper proposes a hybrid video-on-demand system which gathers the unicast channels in new ways and shares multicast transmission channels efficiently by using dynamic channel allocation architecture. The numerical results demonstrate that the proposed architecture in some case achieves performance gain of $551{\%}$ compared to existing architecture. This paper presents procedure of channel release and reuse, performance analysis, and simulation results of the dynamic channel allocation architecture.