• Title/Summary/Keyword: Efficiency of operations

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The Efficiency of e-Logistics on the Global Logistics Providers Using the SBM Model (SBM을 이용한 글로벌 물류기업의 정보시스템 성과분석)

  • Park, Hong-Gyun
    • Journal of Korea Port Economic Association
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    • v.27 no.4
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    • pp.37-49
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    • 2011
  • By strengthening the market control and expanding the networks, providers of global logistics are expanding their service scope. E-logistics connects e-business to internal and external information system by using WMS, TMS, and OMS. The paper focuses on analyzing the efficiency of the tope fifty Global Logistics Providers. Therefore, the study classifies the factors which specify the efficiency of a total logistics industry and verified its firmness. Furthermore, the most recently published reports by Logistics Quarterly and Armstrong Association in 2011 was used in order to guarantee credibility of the study. This study utilizes three years of materials, from 2007, 2008, 2009 on publish 2010, for scope period for analysis. By applying SBM (Slack Based Measure) & the DEA Window model, the trend in efficiency and stableness was analyzed. Consequently, the main purpose of the paper is evaluating the efficiency. Also, analyzing its determinants and illustrating a long-term relationship between the annual turnover and major shippers was used as output measures. In addition, the number of information system operations, the grade of information systems, and employee of Logistics Providers was used as input measures.

Study on Combat Efficiency According to Change in Quantity of Small Reconnaissance Drones in the Infantry Company Responsibility Area (중대급 작전지역에서 소형 감시정찰 드론의 수량 변화에 따른 전투 효율 연구)

  • Kyongsoo, Kim;Yongchan, Bae
    • Journal of the Korea Society for Simulation
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    • v.31 no.4
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    • pp.23-31
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    • 2022
  • The development of innovative technology through the 4th Industrial Revolution is actively used in the defense field. In particular, surveillance and reconnaissance capabilities using drones will be of great help to the development of military combat capabilities, such as preparing for future military personnel reductions and reinforcing alert capabilities. In this study, we analyze the combat efficiency of drones how helpful drones can be to the military operations through simulations. Drones and enemy move in the efficient shortest path within a two-dimensional space in which operational areas are mapped into number such as detection probability. Based on the detection probability of an enemy infiltrating along the path with the lowest detection probability, the detection probability change that occurs whenever a drone is additionally deployed is presented, and we analyze the combat efficiency according to the additional drone input. Simulation proves that the increase in combat efficiency decreases as more drones are added in small operational areas such as company-level operational areas. This study is expected to contribute to the efficient operation of a limited number of drones in company-level units and to help determine the most desirable quantity of drones for additional combat power improvement.

A Study to Develop an Efficiency Analysis Model to Aids to Navigation (ANEffic) : Manned Lighthouses (항로표지시설 효용성분석 모델(ANEffic) 개발에 관한 연구 - 유인등대에 적용하여)

  • Park, Hye-Ri;Gug, Seung-Gi
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.22 no.6
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    • pp.647-653
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    • 2016
  • There are no ex-port evaluations for the propriety and efficiency of AtoNs considering risk elements and environmental changes after the opening of a port. It is necessary to develop objective indicators and evaluation models to fill this gap. This study establishes an efficiency analysis model for Aids to Navigation (ANEffic) focusing on manned lighthouse, which include 20 function indices. After running a function assessment, an Analytic Hierarchy Process (AHP) and Likert scale are used to address port operations, national policies and expert opinions. As the result of the assessment, Yeongdo, Gageodo, Geomundo and Jukbyun Lighthouses are highly regarded in the propriety and efficiency of AtoN. And Uleungdo, Gasado, Songdaemal and Ulgi Lighthouses need to review detailed evaluations. The ANEffic developed should be utilized as basic tool to collect data for efficient management and to re-arrange the policy decisions regarding AtoNs as appropriate.

A Study on Economical Analysis of Yarding Operation by Cable Crane (케이블클레인을 이용(利用)한 집재작업(集材作業)의 경제성(經濟性)에 관(關)한 연구(硏究))

  • Woo, Bo Myeong;Park, Jong Myeong;Lee, Joon Woo;Chung, Nam Hun
    • Journal of Korean Society of Forest Science
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    • v.79 no.4
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    • pp.413-418
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    • 1990
  • Since 1945, the periodical reforestation projects considered as the fundamental apparatus of the forest policy of the Government have been continuously carried out during last 40 years in Korea. As a result, some of the forests are ready to be harvested, especially in well-managed plantations as well as in the natural forests. This requires to pay more attention to harvesting the timber rather than planting trees. At the present, such timber harvesting operations such as cutting, felling, bucking, and skidding and yarding, particularly yarding operations in mountain areas with harsh terrains are in the most cases depend upon man power. However, the yarding operations should be more mechanized in the near future in Korea mainly because of the high cost of labour couppled with the lack of labour in forested areas. The Forest Work Training Center attached to the Forest Administration imported and tested the smallsized cable crane(K-300) with movable tower. The result of economic analysis of the yarding operation expenditures shows that the cable crane yarding costs more than the man yarding at the present time. As the labour cost will gradually increase and the efficiency of machine operation will improve, the results of the study indicates that the yarding operation by cable crane will be more cost-effective in the future.

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Analyzing the Internal Environment to Establish Policies for Domestic Institutional Repository Operations (국내 기관 리포지터리 운영 정책 수립을 위한 내부 환경 분석)

  • Gyuhwan Kim;Jihyun Kim
    • Journal of Korean Library and Information Science Society
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    • v.55 no.3
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    • pp.43-64
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    • 2024
  • This study aims to analyze the regulations and actual operation status related to IR operations for eight institutions participating in the OAK project to examine the need to establish an IR operation policy and the components of an operation policy. The results showed that IR management policies need to include collection and disclosure of research results, copyright management, whether to support APC, and management plans for each type of research result. In particular, clear regulations on the collection and disclosure of research outputs are essential to ensure consistency and efficiency in IR operations. In addition, it is necessary to create an institutional foundation for researchers to share research outputs through OA publication by converting the publication fee support policy of many institutions to a support policy for OA publication. In addition, there are differences in IR management methods depending on the characteristics of each institution, and it is necessary to establish customized IR management policies that fit the characteristics of each institution. In this regard, OAK should provide standardized guidelines and technical support to facilitate the development of IR management policies for each institution. This study can be used as a basis for establishing IR management policies for domestic organizations.

Assessment Module Formulation for the Trapped-Oil Recovery Operations from Sunken Vessels (침몰선 잔존유 회수작업 평가모듈 개발에 관한 연구)

  • Kang, Kwang-gu;Lee, Eun-bang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.27 no.1
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    • pp.88-96
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    • 2021
  • When oil tankers, large passenger ships and cargo ships sink under the sea owing to various maritime accidents, the residual cargo oil or fuel oil in the such vessels could pose direct risk to factor for the marine environment and it require safe and rapid removal. Although domestic and foreign salvage companies are adopting various recovery methods and technologies with customizations according to each site during recovery operations studies on reasonable assessment modules for the operation process are relatively insufficient. In this study, the data from trapped-oil recovery operations performed at different site conditions were collected and analyzed in order to designed an operation assessment module, define the operational process steps in terms of preparation, implementation and completion, and derive key factors for each detailed process. Subsequently, the module was designed in such a way as to construct performance indicators to assess these key factors. In order to exclude subjective opinions from the assessment as much as possible, the assessment each item was constructed with indicators based on data that could be evaluated quantitatively and its usefulness was verified by applying the module to the trapped-oil recovery operation cases. We expect this the method and the technology assessment module for the trapped-oil recovery operation on sunken vessels will help to verify the adequacy of the trapped-oil recovery such operation before or after. Furthermore, it is expected that the continuous accumulation of assessment data and feedback from past or future operation cases will contribute toward enhancing the overall safety, efficiency and field applicability of trapped-oil recovery operation.

Approaches to Applying Social Network Analysis to the Army's Information Sharing System: A Case Study (육군 정보공유체계에 사회관계망 분석을 적용하기 위한방안: 사례 연구)

  • GunWoo Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.597-603
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    • 2023
  • The paradigm of military operations has evolved from platform-centric warfare to network-centric warfare and further to information-centric warfare, driven by advancements in information technology. In recent years, with the development of cutting-edge technologies such as big data, artificial intelligence, and the Internet of Things (IoT), military operations are transitioning towards knowledge-centric warfare (KCW), based on artificial intelligence. Consequently, the military places significant emphasis on integrating advanced information and communication technologies (ICT) to establish reliable C4I (Command, Control, Communication, Computer, Intelligence) systems. This research emphasizes the need to apply data mining techniques to analyze and evaluate various aspects of C4I systems, including enhancing combat capabilities, optimizing utilization in network-based environments, efficiently distributing information flow, facilitating smooth communication, and effectively implementing knowledge sharing. Data mining serves as a fundamental technology in modern big data analysis, and this study utilizes it to analyze real-world cases and propose practical strategies to maximize the efficiency of military command and control systems. The research outcomes are expected to provide valuable insights into the performance of C4I systems and reinforce knowledge-centric warfare in contemporary military operations.

Preoperative prediction of the location of parotid gland tumors using radiographic anatomical landmarks

  • Lee, Chung-O;Ahn, Chang-Hyun;Kwon, Tae-Geon;Kim, Chin-Soo;Kim, Jin-Wook
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.38 no.1
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    • pp.38-43
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    • 2012
  • Introduction: The location of parotid gland tumors in the superficial or deep lobes can affect the time and difficulty of operations. Therefore, accurate preoperative evaluation of the tumor location is important for surgical outcomes. Materials and Methods: A total of 16 patients with parotid gland tumors and who underwent a parotidectomy between April 2003 and March 2011 were retrospectively reviewed in terms of demographic background, tumor location, surgical treatment, and treatment outcomes. Tumor location was estimated by four landmarks on contrast enhanced computerized tomography scans, which were Conn's arc, the facial nerve (FN) line, the Utrecht line, and the retromandibular vein. Tumor location was confirmed by relative position depending on the facial nerve during surgery. It was assumed positive since the tumor lies in the superficial lobe of the parotid gland, the sensitivity, specificity, positive predictive value, negative predictive value, and efficiency of each landmark were evaluated. Results: Our result revealed that the facial nerve line had a sensitivity of 83.3%, specificity of 100%, positive predictive value of 100%, negative predictive value of 71.4%, and efficiency of 87.5%. Some would be more efficient preoperative evaluation methods of the relationship of parotid gland tumors to the facial nerve than others. Conclusion: In our study, the FN line was found to be the most reliable analysis method.

Combination of Brain Cancer with Hybrid K-NN Algorithm using Statistical of Cerebrospinal Fluid (CSF) Surgery

  • Saeed, Soobia;Abdullah, Afnizanfaizal;Jhanjhi, NZ
    • International Journal of Computer Science & Network Security
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    • v.21 no.2
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    • pp.120-130
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    • 2021
  • The spinal cord or CSF surgery is a very complex process. It requires continuous pre and post-surgery evaluation to have a better ability to diagnose the disease. To detect automatically the suspected areas of tumors and symptoms of CSF leakage during the development of the tumor inside of the brain. We propose a new method based on using computer software that generates statistical results through data gathered during surgeries and operations. We performed statistical computation and data collection through the Google Source for the UK National Cancer Database. The purpose of this study is to address the above problems related to the accuracy of missing hybrid KNN values and finding the distance of tumor in terms of brain cancer or CSF images. This research aims to create a framework that can classify the damaged area of cancer or tumors using high-dimensional image segmentation and Laplace transformation method. A high-dimensional image segmentation method is implemented by software modelling techniques with measures the width, percentage, and size of cells within the brain, as well as enhance the efficiency of the hybrid KNN algorithm and Laplace transformation make it deal the non-zero values in terms of missing values form with the using of Frobenius Matrix for deal the space into non-zero values. Our proposed algorithm takes the longest values of KNN (K = 1-100), which is successfully demonstrated in a 4-dimensional modulation method that monitors the lighting field that can be used in the field of light emission. Conclusion: This approach dramatically improves the efficiency of hybrid KNN method and the detection of tumor region using 4-D segmentation method. The simulation results verified the performance of the proposed method is improved by 92% sensitivity of 60% specificity and 70.50% accuracy respectively.

Effects of Distribution of Axle Load and Inflation Pressure of Tires on Fuel Efficiency of Tractor Operations (차축의 중량 분포와 타이어의 공기압이 트랙터 작업의 연료 효율에 미치는 영향)

  • Lee, Jin-Woong;Kim, Kyeong-Uk;Gim, Dong-Hyeon;Choi, Kyu-Jeong
    • Journal of Biosystems Engineering
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    • v.36 no.5
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    • pp.303-313
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    • 2011
  • This study was conducted to investigate the effects of axle weight distribution and inflation pressure of tire on the fuel economy of tractors as well as operational range of tractor engine in terms of engine speed and power when a 4WD tractor of 38.2 kW rated power at 2500 rpm is used for plowing and flooded-field rotavating in paddy fields. (1) Plowing operation required an average engine power of 9.6~13.5 kW which equals 25~35% of rated PTO power. Engine speed ranged from 1,320.4 to 1,737.4 rpm, work velocity from 3.4 to 4.8 km/h, and fuel consumption from 3.2 to 4.2 L/h, respectively. (2) Flooded-field rotavating required an average engine power of 11.5~18.5 kW which equals 30~48.4% of rated PTO power. Out of this 6.2~12.2 kW was used for PTO power. Engine speed ranged from 1,557 to 2,067 rpm, work velocity from 2.5~5.4 km/h and fuel consumption from 3.2~5.5 L/h, respectively. (3) Axle weight distribution, inflation pressure of tire and moisture content of soil did not affect significantly the specific volumetric fuel consumption but affected significantly the fuel consumption per unit area of operation. Fuel savings amounted to 65% in plowing operation and 20% in flooded-field rotavating when the axle weight distribution and inflation pressure of tire were optimally adjusted. (4) Optimal adjustment of axle weight distribution and inflation pressure of tire are expected to save fuel consumption by 10~65% per unit area of operation in plowing and 10~20% in flooded-field rotavating.