• Title/Summary/Keyword: operational efficiency

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Successful Technology Investment Strategy in Manufacturing Industry: Fuzzy-set Qualitative Comparative Analysis (fsQCA) Approach (제조업에서의 성공적인 기술투자 전략에 대한 연구: 퍼지셋 질적비교분석)

  • Yunmo Koo;Juyeon Ham;Jae-Nam Lee
    • Information Systems Review
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    • v.19 no.4
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    • pp.1-25
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    • 2017
  • Despite high uncertainty on financial return, firms have continuously increased their investment on technologies because they recognize the potential value of technology investment in terms of enhancing operational efficiency and sustaining competitive advantage. Notably, an individual technology investment pattern or strategy within an industry may ultimately lead to significant differences in business performance. Hence, we first categorized technology investment into traditional research and development investment and information technology investment. Afterward, we examined the effects of each pattern with combination of the two types of technology investment on business performance according to firm size and position in the supply chain through fuzzy-set qualitative comparative analysis. Data collected from 562 manufacturing firms in Korea were used in the analysis. Results showed that large-sized firms were slightly affected with microscopic patterns in their technology investments, whereas small firms were highly affected with their technology investment patterns and their positions in the supply chain. The findings implied that a small enterprise requires an appropriate technology investment strategy to achieve successful business outcomes.

Evaluation of Applicability for 3D Scanning of Abandoned or Flooded Mine Sites Using Unmanned Mobility (무인 이동체를 이용한 폐광산 갱도 및 수몰 갱도의 3차원 형상화 위한 적용성 평가)

  • Soolo Kim;Gwan-in Bak;Sang-Wook Kim;Seung-han Baek
    • Tunnel and Underground Space
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    • v.34 no.1
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    • pp.1-14
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    • 2024
  • An image-reconstruction technology, involving the deployment of an unmanned mobility equipped with high-speed LiDAR (Light Detection And Ranging) has been proposed to reconstruct the shape of abandoned mine. Unmanned mobility operation is remarkably useful in abandoned mines fraught with operational difficulties including, but not limited to, obstacles, sludge, underwater and narrow tunnel with the diameter of 1.5 m or more. For cases of real abandoned mines, quadruped robots, quadcopter drones and underwater drones are respectively deployed on land, air, and water-filled sites. In addition to the advantage of scanning the abandoned mines with 2D solid-state lidar sensors, rotation of radiation at an inclination angle offers an increased efficiency for simultaneous reconstruction of mineshaft shapes and detecting obstacles. Sensor and robot posture were used for computing rotation matrices that helped compute geographical coordinates of the solid-state lidar data. Next, the quadruped robot scanned the actual site to reconstruct tunnel shape. Lastly, the optimal elements necessary to increase utility in actual fields were found and proposed.

Comparative analysis of wavelet transform and machine learning approaches for noise reduction in water level data (웨이블릿 변환과 기계 학습 접근법을 이용한 수위 데이터의 노이즈 제거 비교 분석)

  • Hwang, Yukwan;Lim, Kyoung Jae;Kim, Jonggun;Shin, Minhwan;Park, Youn Shik;Shin, Yongchul;Ji, Bongjun
    • Journal of Korea Water Resources Association
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    • v.57 no.3
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    • pp.209-223
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    • 2024
  • In the context of the fourth industrial revolution, data-driven decision-making has increasingly become pivotal. However, the integrity of data analysis is compromised if data quality is not adequately ensured, potentially leading to biased interpretations. This is particularly critical for water level data, essential for water resource management, which often encounters quality issues such as missing values, spikes, and noise. This study addresses the challenge of noise-induced data quality deterioration, which complicates trend analysis and may produce anomalous outliers. To mitigate this issue, we propose a noise removal strategy employing Wavelet Transform, a technique renowned for its efficacy in signal processing and noise elimination. The advantage of Wavelet Transform lies in its operational efficiency - it reduces both time and costs as it obviates the need for acquiring the true values of collected data. This study conducted a comparative performance evaluation between our Wavelet Transform-based approach and the Denoising Autoencoder, a prominent machine learning method for noise reduction.. The findings demonstrate that the Coiflets wavelet function outperforms the Denoising Autoencoder across various metrics, including Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Squared Error (MSE). The superiority of the Coiflets function suggests that selecting an appropriate wavelet function tailored to the specific application environment can effectively address data quality issues caused by noise. This study underscores the potential of Wavelet Transform as a robust tool for enhancing the quality of water level data, thereby contributing to the reliability of water resource management decisions.

A Study on Establishment of Drone-Based Coastal Debris Monitoring Standards Using Meta-Analysis (메타분석을 적용한 드론 기반 해안 쓰레기 모니터링 기준 마련에 관한 연구)

  • Bo-Ram KIM;Hyun-Woo CHOI;Chol-Young LEE;Tae-Hoon KIM
    • Journal of the Korean Association of Geographic Information Studies
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    • v.27 no.1
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    • pp.99-114
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    • 2024
  • Domestic coastal debris monitoring encounters challenges due to labor-intensive methods and limited survey scope. Consequently, research is utilizing remote sensing techniques to enhance efficiency in data collection. However, standards for domestic remote sensing based monitoring methods remain insufficient. In this study, we conducted a meta-analysis of 19 coastal debris monitoring studies utilizing drones and other remote sensing devices. We analyzed data collection methods, collected data information, monitoring target details, monitoring status, detection targets, and utilization models. Based on our meta-analysis results, we proposed monitoring criteria, recommended items, and performance standards for monitoring coastal debris using drones. Our findings define necessary conditions and standards for establishing operational guidelines for coastal debris monitoring using drones. Furthermore, we anticipate that incorporating foreign case analyses and field application results will enable the development of national-level guidelines for coastal debris monitoring utilizing remote sensing devices.

A Study on the Real-time Recommendation Box Recommendation of Fulfillment Center Using Machine Learning (기계학습을 이용한 풀필먼트센터의 실시간 박스 추천에 관한 연구)

  • Dae-Wook Cha;Hui-Yeon Jo;Ji-Soo Han;Kwang-Sup Shin;Yun-Hong Min
    • The Journal of Bigdata
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    • v.8 no.2
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    • pp.149-163
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    • 2023
  • Due to the continuous growth of the E-commerce market, the volume of orders that fulfillment centers have to process has increased, and various customer requirements have increased the complexity of order processing. Along with this trend, the operational efficiency of fulfillment centers due to increased labor costs is becoming more important from a corporate management perspective. Using historical performance data as training data, this study focused on real-time box recommendations applicable to packaging areas during fulfillment center shipping. Four types of data, such as product information, order information, packaging information, and delivery information, were applied to the machine learning model through pre-processing and feature-engineering processes. As an input vector, three characteristics were used as product specification information: width, length, and height, the characteristics of the input vector were extracted through a feature engineering process that converts product information from real numbers to an integer system for each section. As a result of comparing the performance of each model, it was confirmed that when the Gradient Boosting model was applied, the prediction was performed with the highest accuracy at 95.2% when the product specification information was converted into integers in 21 sections. This study proposes a machine learning model as a way to reduce the increase in costs and inefficiency of box packaging time caused by incorrect box selection in the fulfillment center, and also proposes a feature engineering method to effectively extract the characteristics of product specification information.

Towards Efficient Aquaculture Monitoring: Ground-Based Camera Implementation for Real-Time Fish Detection and Tracking with YOLOv7 and SORT (효율적인 양식 모니터링을 향하여: YOLOv7 및 SORT를 사용한 실시간 물고기 감지 및 추적을 위한 지상 기반 카메라 구현)

  • TaeKyoung Roh;Sang-Hyun Ha;KiHwan Kim;Young-Jin Kang;Seok Chan Jeong
    • The Journal of Bigdata
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    • v.8 no.2
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    • pp.73-82
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    • 2023
  • With 78% of current fisheries workers being elderly, there's a pressing need to address labor shortages. Consequently, active research on smart aquaculture technologies, centered on object detection and tracking algorithms, is underway. These technologies allow for fish size analysis and behavior pattern forecasting, facilitating the development of real-time monitoring and automated systems. Our study utilized video data from cameras outside aquaculture facilities and implemented fish detection and tracking algorithms. We aimed to tackle high maintenance costs due to underwater conditions and camera corrosion from ammonia and pH levels. We evaluated the performance of a real-time system using YOLOv7 for fish detection and the SORT algorithm for movement tracking. YOLOv7 results demonstrated a trade-off between Recall and Precision, minimizing false detections from lighting, water currents, and shadows. Effective tracking was ascertained through re-identification. This research holds promise for enhancing smart aquaculture's operational efficiency and improving fishery facility management.

Strategies to Revitalize Bus Exterior Advertisement for Enhancing Bus Transportation Profits: Focused in Seoul (버스운송 수익증대를 위한 버스 외부광고 활성화 방안: 서울시를 중심으로)

  • Lim, Kwangk-kyun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.44 no.3
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    • pp.361-373
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    • 2024
  • Advertising on the exterior of buses was initiated in 1985 with the aim of generating operational funds for the 1988 Seoul Olympics. However, despite numerous technological advancements, the regulations governing the method (sheet attachment), area, and placement of exterior advertising on buses have remained unchanged to date. This has constrained the potential for profitability and efficiency in bus exterior advertising. According to Seoul Metropolitan Government, metro usage increased by 23 % in 2019 (prior to the COVID-19) compared to 2006, while bus usage decreased by 10 %. Consequently, financial subsidy for buses surged significantly over the past five years (2018-2022), averaging around KRW 450 billion, which is approximately 1.27 times the average for the preceding decade (2013-2022). The majority of revenue for bus transportation agencies is derived from passenger fares (81.1 %) and subsidies from Seoul City (17.5 %). Hence, it is imperative to enhance the share of revenue from sources other than fares. This study proposes an expansion of the role of bus exterior advertising by increasing the advertising area as a means to increase non-fare revenue. Two alternatives were proposed to expand the advertising area by 17 % and 94 %, respectively, compared to the current level, and their potential impacts were analyzed. The findings indicate that advertising revenue could increase from a minimum of KRW 3.2 billion to a maximum of KRW 53.9 billion, and public subsidies could be reduced by as much as 11.9 %. The bus exterior advertising can serve as an effective approach to diversify transportation revenue and decrease public subsidies.

A Study of Establishing the Plan of Lodging for the Workers of Gaesung Industrial Complex (개성공단 근로자 기숙사 건립 계획 연구)

  • Choi, Sang-Hee;Kim, Doo-Hwan;Kim, Sang-Yeon;Choi, Eun-Hee
    • Land and Housing Review
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    • v.6 no.2
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    • pp.67-77
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    • 2015
  • Now that it is the current situation that the smooth supply and demand are necessary for 2nd phase of beginning construction and stable development of Gaesung Industrial Complex, this study was willing to offer the planning criteria and model to establish the lodging for the workers in Gaesung Industrial Complex based on the agreement that both South and North Korea agreed in 2007. Regarding the plan, its standard and the alternative were reviewed considering welfare of workers, economic efficiency, technical validity, possibility of agreement and long-term development. The exclusive area per capita was calculated through Labor Standards Act of Korea and status survey of lodging for the workers provided to border line area between China and North Korea and the economic alternative based on one room for 6 persons with the public restroom was compared with that of development type based on one room for 4 persons with indoor restroom. Especially regarding the proposed site, the area with the optimized position was set by considering gradient, accessibility and convenience of development out of the area of Dongchang-ri where was agreed already and the priority of the proposed site that can keep the existing building site and provide was offered. The necessary period for whole construction was set as approximately 36 months. Regarding construction method, RC Rahmen method was selected as the optimized alternative considering the workmanship of manpower of North Korea and conditions of supply and demand of materials and cluster-type vehicle allocation plan based on 4~6 units considering the efficiency of supplying service facilities and convenient facilities along the simultaneous accommodation of 15,000 people was offered. It was analyzed that total business expenses of approximately 80~100 billion Korean Won would required though there were the difference for each alternative in the charged rental way that the development business owner develops by lending the inter-Korea Cooperation Fund and withdraws the rent by the benefit principle. The possibility of withdrawing the rent was analyzed assuming that the period of withdrawing the investment is 30 years. Especially for the operation management after moving, the establishment of the committee of operating the lodging for the workers of Gaesung Industrial Complex (tentative name) was offered with the dualized governance that the constructor takes charge of operational management, collecting fees and management of infrastructure and human resource management is delegated to North Korea.

A Study on Air Resistance and Greenhouse Gas Emissions of an Ocean Leisure Planning Boat (해양레저용 활주형선의 공기저항 및 온실 가스 배출에 대한 연구)

  • Kim, Y.S.;Hwang, S.K.
    • Journal of the Korean Society for Marine Environment & Energy
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    • v.16 no.3
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    • pp.202-210
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    • 2013
  • As incomes increase, interest in ocean leisure picks up. As a result, a lot of research and developments on hull form design and production of planing boats, mostly used for ocean leisure, are needed. Analysis in researches on resistance of planing boats shows that resistance characteristic of planing boats is different from resistance characteristic of general boats because the former is fast, and its wetted surface is very small. Using Savitsky formula widely used in the calculation of effective horse power in shipbuildingyards, and propulsion system and engine manufacturers, this study calculated total resistance of a research planing boat. Then it analyzed the flow characteristics of the planing boat through theoretical analysis and wind tunnel experiment, and computed air resistance and lift force by changes of speed and trim angle. It also compared and analyzed result of theoretical analysis and experiment of the ratio of air resistance to total resistance under variations of velocity and trim angle. When the study is used to estimate more accurate effective horse power, it is expected to remedy abuses of unnecessarily installing high-powered engine. As nature disasters due to abnormal changes of weather increase, interest in greenhouse gas grows. International Maritime Organization (IMO) legislated Energy Efficiency Design Index (EEDI) and Energy Efficiency Operational Indicator (EEOI) to reduce ship greenhouse gas emissions. But this index will be applied to over 400 tons ships, small ships, emitting more greenhouse gases than larege ships per unit power, will dodge the regulations. Thus, this study indicated a problem by calculating greenhouse gas emissions of an ocean leisure planning boat (a small ship), and suggested the need for EEDI of small ships.

Demonstration and Operation of Pilot Plant for Short-circuit Nitrogen Process for Economic Treatment of High Concentration Nitrogen Wastewater (고농도 질소함유폐수의 경제적 처리를 위한 단축질소공정 파일럿플랜트 실증화 및 운영 결과)

  • Lee, Jae Myung;Jeon, Ji-hyeong;Choi, Hong-bok
    • Journal of the Korea Organic Resources Recycling Association
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    • v.28 no.1
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    • pp.53-64
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    • 2020
  • A 2㎥/d combined wastewater treatment pilot plant containing the multi-stage vertical stacking type nitrification reactor was installed and operated for more than 1 year under the operating conditions of the short-circuit nitrogen process (pH 8, DO 1mg/L and Internal return rate 4Q from nitrification to denitrification reactor). For economically the combination treatment of food wastewater and the leachate from a landfill, the optimal combination ratio was operated by adjusting the food wastewater with the minimum oil content to 5-25% of the total throughput. The main treatment efficiency of the three-phase centrifugal separator which was introduced to effectively separate solids and oil from the food wastewater was about 52% of SS from 116,000mg/L to 55,700mg/L, and about 48% of normal hexane (NH) from 53,200mg to 27,800 mg/L. During the operational period, the average removal efficiency in the combined wastewater treatment process of BOD was 99.3%, CODcr 94.2%, CODmn 90%, SS 70.1%, T-N 85.8%, and T-P 99.2%. The average concentrations of BOD, CODcr, T-N, and T-P of the treated water were all satisfied with the discharge quality standard for landfill leachate ("Na" region), and SS was satisfied after applying the membrane process. On-site leachate had a relatively high nitrite nitrogen content in the combined wastewater due to intermittent aeration of the equalization tanks and different monthly discharges. Nevertheless nitrite nitrogen was accumulated, denitrification from nitrite nitrogen was observed rather than denitrification after complete nitrification. The average input of anti-forming chemical during the operation period is about 2L/d, which seems to be economical compared to the input of methanol required to treat the same wastewater.