• Title/Summary/Keyword: 소프트웨어 품질 평가 프로세스

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A Theoretical Study on the Toyota Production System and New JIT (도요타 생산방식(TPS)과 NEW JIT에 관한 이론적 연구)

  • Lim, Jae-Hwa;Mok, Jin-Hwan
    • 한국산학경영학회:학술대회논문집
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    • 2005.11a
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    • pp.29-46
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    • 2005
  • Recently, TPS is one of the hot issues which enterprises and manufacturing related people were greatly concerned. TPS is very representative of Japanese production system. And TPS have contributed to the advance of industrial engineering. This study highlights the limitation and unsolved problems of presented TPS, through understanding the basic principles and characteristics and application process of TPS. To be continuously developing and competitive system in the future, we suggest New JIT System to complement current TPS system. New JIT is a customer oriented system. For the customer satisfied quality management, renovate business process in production, development and sales area. It has hardware and software system. Hardware system is consists of TMS, TDS, TPS. Software system Is scientific SQC utilized TQM. For the advanced next generation manufacturing management system, we should develop New JIT system.

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A Theoretical Study on the Toyota Production System and New JIT (도요타 생산방식(TPS)과 NEW JIT에 관한 이론적 연구)

  • Lim, Jae-Hwa;Mok, Jin-Hwan
    • Korean Business Review
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    • v.19 no.1
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    • pp.93-114
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    • 2006
  • Recently, TPS is one of the hot issues which enterprises and manufacturing related people were greatly concerned. TPS is very representative of Japanese production system. And TPS have contributed to the advance of industrial engineering. This study highlights the limitation and unsolved problems of presented TPS, through understanding the basic principles and characteristics and application process of TPS. To be continuously developing and competitive system in the future, we suggest New JIT System to complement current TPS system. New JIT is a customer oriented system. For the customer satisfied quality management, renovate business process in production, development and sales area. It has hardware and software system. Hardware system is consists of TMS, TDS, TPS. Software system is scientific SQC utilized TQM. For the advanced next generation manufacturing management system, we should develop New JIT system.

  • PDF

A Study on the Design of Test Item Framework for the Reliability of Frozen and Refrigerated Products with IoT Function (IoT 기능을 보유한 냉동·냉장 제품의 신뢰성 확보를 위한 시험항목 프레임워크 설계에 관한 연구)

  • Cho, Kyoung Rok;Lee, Jung Jae;Lee, Eun-Ser
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.6
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    • pp.211-222
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    • 2021
  • Recently, frozen and refrigerated appliances on the market are being released with additional IoT functions, but there are few tests on IoT functions. In particular, the existing test system does not have IoT test items for IoT-based frozen and refrigerated appliances, making it difficult for companies to find the cause even if defects occur, and test institutions are also restricted from selecting IoT-related test items and conducting correct performance tests. In this paper, we design a test item framework that can identify product defects and identify causes in the performance test process of frozen and refrigerated products with IoT functions among products in the home appliance field, and propose test methods and management measures using them. Through the proposed research, manufacturers and testing institutions can test the correct performance of IoT-based frozen and refrigerated products, thereby enhancing the completeness and securing reliability of the products.

A Study on Maturity Model of Information Integration System (정보연계 시스템의 성숙도 모델에 관한 연구)

  • Ha, Hyodong;Lee, Ook
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.8
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    • pp.570-578
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    • 2019
  • In this era of big data, a variety of government organizations are trying to create new added value via Information Integration. Therefore, several projects related to government agencies' information sharing have activated system connection/integration. The risk factors of system operation, however, have increased as the volume of Information Integration System grows. The interference in information sharing is predicted to affect the operation of the agencies, and the issue will grow even worse with massive impact on civil society when the agency operation is interrupted due to system failures in terms of infrastructure, software, data quality, and security. Diverse studies related to the maintenance of Information System have been conducted, but there is currently no evaluation framework for the operational system of Information Integration between various government agencies. In this respect, this study distinguishes each of the Information System components, Data, IT, People, Process, systematizes with Plan-Do-See, and finally presents a maturity model for Information Integration. Nine derived processes were analyzed through interview and questionnaires from Information Integration System officials, further suggesting maturity stage applying CMMI. This model allows diagnosis of the maturity level of an Information Integration System, and is expected to be utilized as resource for improving organizational processes.

Target Word Selection Disambiguation using Untagged Text Data in English-Korean Machine Translation (영한 기계 번역에서 미가공 텍스트 데이터를 이용한 대역어 선택 중의성 해소)

  • Kim Yu-Seop;Chang Jeong-Ho
    • The KIPS Transactions:PartB
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    • v.11B no.6
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    • pp.749-758
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    • 2004
  • In this paper, we propose a new method utilizing only raw corpus without additional human effort for disambiguation of target word selection in English-Korean machine translation. We use two data-driven techniques; one is the Latent Semantic Analysis(LSA) and the other the Probabilistic Latent Semantic Analysis(PLSA). These two techniques can represent complex semantic structures in given contexts like text passages. We construct linguistic semantic knowledge by using the two techniques and use the knowledge for target word selection in English-Korean machine translation. For target word selection, we utilize a grammatical relationship stored in a dictionary. We use k- nearest neighbor learning algorithm for the resolution of data sparseness Problem in target word selection and estimate the distance between instances based on these models. In experiments, we use TREC data of AP news for construction of latent semantic space and Wail Street Journal corpus for evaluation of target word selection. Through the Latent Semantic Analysis methods, the accuracy of target word selection has improved over 10% and PLSA has showed better accuracy than LSA method. finally we have showed the relatedness between the accuracy and two important factors ; one is dimensionality of latent space and k value of k-NT learning by using correlation calculation.