• Title/Summary/Keyword: Maintenance Complexity

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Improvement Strategy of System Unavailability by Review of Logical Structure and Reliability Importance of Reliability Block Diagram (RED) and Fault Tree Analysis (FTA) (RBD와 FTA의 논리구조와 신뢰성 중요도의 고찰에 의한 시스템 비시간가동률 개선방안)

  • Choi, Sung-Woon
    • Journal of the Korea Safety Management & Science
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    • v.13 no.3
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    • pp.45-53
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    • 2011
  • The research proposes seven elimination rules of redundant gates and blocks in Fault Tree Analysis (FTA) and Reliability Block Diagram (RBD). The computational complexity of cut sets and path sets is NP-hard. In order to reduce the complexity of Minimal Cut Set (MCS) and Minimal Path Set (MPS), the paper classifies generation algorithms. Moreover, the study develops six implementation steps which reflect structural importance (SI) and reliability importance (RI) from Reliability Centered Maintenance (RCM) that a priority of using the functional logic among components is to reduce (improve) the system unavailability (or availability). The proposed steps include efficient generation of state structure function by Rare Event Enumeration (REA). Effective use of importance measures, such as SI and ill measures, is presented based on the number and the size of MCS and MPS which is generated from the reference[5] of this paper. In addition, numerical examples are presented for practitioners to obtain the comprehensive understanding of six steps that is proposed in this research.

A Feasible Approximation to Optimum Decision Support System for Multidimensional Cases through a Modular Decomposition

  • Vrana, Ivan;Aly, Shady
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.9 no.4
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    • pp.249-254
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    • 2009
  • The today's decision making tasks in globalized business and manufacturing become more complex, and ill-defined, and typically multiaspect or multi-discipline due to many influencing factors. The requirement of obtaining fast and reliable decision solutions further complicates the task. Intelligent decision support system (DSS) currently exhibit wide spread applications in business and manufacturing because of its ability to treat ill-structuredness and vagueness associated with complex decision making problems. For multi-dimensional decision problems, generally an optimum single DSS can be developed. However, with an increasing number of influencing dimensions, increasing number of their factors and relationships, complexity of such a system exponentially grows. As a result, software development and maintenance of an optimum DSS becomes cumbersome and is often practically unfeasible for real situations. This paper presents a technically feasible approximation of an optimum DSS through decreasing its complexity by a modular structure. It consists of multiple DSSs, each of which contains the homogenous knowledge's, decision making tools and possibly expertise's pertaining to a certain decision making dimension. Simple, efficient and practical integration mechanism is introduced for integrating the individual DSSs within the proposed overall DSS architecture.

A Case Study on Improving SW Quality through Software Visualization (소프트웨어 가시화를 통한 품질 개선 사례 연구)

  • Park, Bo Kyung;Kwon, Ha Eun;Son, Hyun Seung;Kim, Young Soo;Lee, Sang-Eun;Kim, R. Young Chul
    • Journal of KIISE
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    • v.41 no.11
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    • pp.935-942
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    • 2014
  • Today, it is very important issue to high quality of software issue on huge scale of code and time-to-market. In the industrial fields still developers focuses on Code based development. Therefore we try to consider two points of views 1) improving the general developer the bad development habit, and 2) maintenance without design, documentation and code visualization. To solve these problems, we need to make the code visualization of code. In this paper, we suggest how to visualize the inner structure of code, and also how to proceed improvement of quality with constructing the Tool-Chain for visualizing Java code's inner structure. For our practical case, we applied Object Code with NIPA's SW Visualization, and then reduced code complexity through quantitatively analyzing and visualizing code based on setting the basic module unit, the class of object oriented code.

ICS(Interference Cancellation System) in Wireless Repeater Using Complex Singed Singed LMS Algorithm (Complex Singed-Singed LMS 적응 알고리즘을 사용한 간섭제거 중계기(ICS)연구)

  • Lee, Seong-Jae;Park, Yong-Wan;Hong, Seung-Mo
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.48 no.10
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    • pp.53-59
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    • 2011
  • In recent years, mobile communication service is used extensively as a larger service area for the maintenance of quality of service required by the expansion of service areas and As the ever-increasing role in relays, and the location is relatively easy to install and less constrained costs, operating cost savings in terms of ICS(Interference Cancellation System) repeaters are required. However, an adaptive algorithm that is applied when updating the filter due to the increase in volume of operations increase the complexity of hardware implementation is fraught with many difficulties. In this paper, if there is a path that feedback. ICS repeater utilizing baseband signal processing for the removal of interfering signals from the feedback operation, significantly reducing the amount of reducing hardware complexity Complex Singed Signed LMS adaption algorithm is proposed. Proposed algorithm for evaluating the performance of Static channel WCDMA signal environment for the ICS, the results of the simulation algorithm, convergence speed and better performance in therms of convergence errors that are required through the implementation of the operation greatly reduces the amount of hardware complexity able to reduce the effect was visible.

A Study of Built-In-Test Diagnosis Mistakes as a False Alarm Filter Useful Redundant Techniques for Built-in-Test Related System

  • Oh, Hyun Seung;Yoo, Wang Jin
    • Journal of Korean Society for Quality Management
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    • v.21 no.2
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    • pp.1-16
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    • 1993
  • Early generations of products had little to no inherent capability to test themselves. The technologies involved often required only visual inspection and limited probing to troubleshoot the system once it was turned over to maintenance personnel. However, as the complexity of military and commercial systems grew, symptoms of failure became less noticeable to the operator. Therefore, the procedure to access, inspect, repair and replace a component became complicated, the requirements for personnel skill and testing equipment increased. and it took too long of a time to maintain a system. Meanwhile, the need for availability became more mission-critical and maintenance become very expensive. The obvious solution was to design in-system circuits or devices to self-test the primary system, the Built-In-Test(BIT) was born. This approach has continued right on up through present systems and is an integral part of systems now being designed. The object of this paper is to present a state-of-the-art research for filtering out the BIT diagnosis mistakes using Bayesian analysis and develop the algorithm for Redundant systems with BIT to improve BIT diagnosis.

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An Autonomic Self-management Mechanism for High-available Home Service Networked System (고가용성 홈 서비스 네트워크 시스템을 위한 오토노믹 자가 관리 메커니즘)

  • Choi, Chang-Yeol;Kim, Sung-Soo
    • Journal of KIISE:Computing Practices and Letters
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    • v.13 no.2
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    • pp.119-130
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    • 2007
  • Home service networked systems require a high-availability service with a proactive and practical fault management. However, as the system complexity grows, it is not easy to meet the requirement. Moreover, user may want to pay no attention to a sequence of complex or nervous maintenance jobs for system fault managements. Therefore, the home service networked systems must have self & remote fault management capability with a minimal human intervention for meeting high-availability requirement of the integrated systems that consist of the networked appliances or devices. In this paper, we present an autonomic healing utility equipped with a remote self-managing mechanism in order to both increase the availability of home service networked systems and decrease the maintenance cost.

Development of a Maintenance Support System for C++ Programs (C++프로그램의 유지보수 지원 시스템 개발)

  • Moon, Yang-Sun;Jang, Gun-Sil;Yoo, Cheol-Jung;Chang, Ok-Bae
    • The Transactions of the Korea Information Processing Society
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    • v.5 no.7
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    • pp.1759-1773
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    • 1998
  • This paper introduces a maintenance support tool for C++ programs. The tool was extended by adding a documentation supporting tool(DT) and an OOD/OOP style guidelines supporting tool(OOD\ulcornerP-GT) to previous work results, the complexity measurement tool(CT) and the visualization tool(VT). The tool was named C++ MT. For the extention, we studied a documentation method of object oriented programs, analyzed and grouped the OOD/OOP style guidelines suggested in some works. The DT developed in this paper helps programmer understand, cange, and est programs, and also extract the reuse components. OOD/P-GT provides guielines for programmer to improve program quality.

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Design and Verification of Built In Test For KUH (한국형 기동헬기 자체진단 시험 설계 및 입증)

  • Kim, Sung-Woo;Lee, Byoung-Hwa;Chang, Won-Hong;Oh, Woo-Seop
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.40 no.7
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    • pp.623-628
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    • 2012
  • Mission Equipment Package(MEP) system is a collection of avionic components that are integrated to perform the mission of the Korean Utility Helicopter(KUH). Built In Test(BIT) reduces the need for skilled personnel and special test equipment, and reduces maintenance down-time of system. The increasing complexity of avionics equipments has resulted in an increased need to provide BIT functions. This paper describe the development and verification for the KUH MEP system BIT.

A Study on Optimal Renewal Cycle for Governmental Agency Software (공공기관 소프트웨어의 최적 재개발 주기 도출에 대한 연구)

  • An, Hoon-sang;Bae, Jongho;Kim, Youngsung;Park, Chulhyun
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.3
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    • pp.117-124
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    • 2016
  • The demands for additional functionalities and improvements in performance of software increase over time. In particular, increases in software complexity and requirements for quality control attributed to continued maintenance lead to the deterioration of software quality and raises in software life cycle costs. In order to prevent this, software operators have to conduct timely redevelopment of the software. However, the scope of previous studies on timely redevelopment of software is limited to enterprises. We, in this study, suggest a model to derive the optimal cycle for the redevelopment of governmental agency software using Renewal process and discuss its correlation with previous studies.

A Case Study on the Improvement of Display FAB Production Capacity Prediction (디스플레이 FAB 생산능력 예측 개선 사례 연구)

  • Ghil, Joonpil;Choi, Jin Young
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.43 no.2
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    • pp.137-145
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    • 2020
  • Various elements of Fabrication (FAB), mass production of existing products, new product development and process improvement evaluation might increase the complexity of production process when products are produced at the same time. As a result, complex production operation makes it difficult to predict production capacity of facilities. In this environment, production forecasting is the basic information used for production plan, preventive maintenance, yield management, and new product development. In this paper, we tried to develop a multiple linear regression analysis model in order to improve the existing production capacity forecasting method, which is to estimate production capacity by using a simple trend analysis during short time periods. Specifically, we defined overall equipment effectiveness of facility as a performance measure to represent production capacity. Then, we considered the production capacities of interrelated facilities in the FAB production process during past several weeks as independent regression variables in order to reflect the impact of facility maintenance cycles and production sequences. By applying variable selection methods and selecting only some significant variables, we developed a multiple linear regression forecasting model. Through a numerical experiment, we showed the superiority of the proposed method by obtaining the mean residual error of 3.98%, and improving the previous one by 7.9%.