• 제목/요약/키워드: Planning Costs

검색결과 547건 처리시간 0.032초

선단구성을 위한 초기배선 (Initial Ship Allocation for the Fleet Systematization)

  • 이철영;최종화
    • 한국항해학회지
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    • 제8권1호
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    • pp.1-16
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    • 1984
  • The economical property of a shipping enterprise, as well as other transportation industries, is determined by the difference between the freight earned and expense paid. This study can be regarded as a division of optimizing ship allocation to routes under the integrated port transport system. Fleet planning and scheduling require complicated allocations of cargoes to ships and ships to routes in order to optimize the given criterion function for a given forecast period. This paper deals with the optimum ship allocation problem minimizing the operating cost of ships in a shipping company. Optimum fleet operating for a shipping enterprise is very important, since the marine transportation is a form of large quantity transport requiring long-term period, and there is a strong possibility to bring about large amount of loss in operation resulting from a faulty ship allocation. Where there are more than one loading and discharging ports, and a variety of ship's ability in speed, capacity, operating cost etc., and when the amount of commodities to be transported between the ports has been determined, then the ship's schedule minimizing the operating cost while satisfying the transport demand within the predetermined period will be made up. First of all a formula of ship allocation problems will be established and then will be constructed to solve an example by the Integer Programming application after consideration of the ship's ability, supply and demand of commodity, amount of commodity to be transported, operating costs of each ship etc. This study will give good information on deciding intention for a ship oprator or owner to meet the computerization current with shiping management.

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An autonomous control framework for advanced reactors

  • Wood, Richard T.;Upadhyaya, Belle R.;Floyd, Dan C.
    • Nuclear Engineering and Technology
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    • 제49권5호
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    • pp.896-904
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    • 2017
  • Several Generation IV nuclear reactor concepts have goals for optimizing investment recovery through phased introduction of multiple units on a common site with shared facilities and/or reconfigurable energy conversion systems. Additionally, small modular reactors are suitable for remote deployment to support highly localized microgrids in isolated, underdeveloped regions. The long-term economic viability of these advanced reactor plants depends on significant reductions in plant operations and maintenance costs. To accomplish these goals, intelligent control and diagnostic capabilities are needed to provide nearly autonomous operations with anticipatory maintenance. A nearly autonomous control system should enable automatic operation of a nuclear power plant while adapting to equipment faults and other upsets. It needs to have many intelligent capabilities, such as diagnosis, simulation, analysis, planning, reconfigurability, self-validation, and decision. These capabilities have been the subject of research for many years, but an autonomous control system for nuclear power generation remains as-yet an unrealized goal. This article describes a functional framework for intelligent, autonomous control that can facilitate the integration of control, diagnostic, and decision-making capabilities to satisfy the operational and performance goals of power plants based on multimodular advanced reactors.

Analysis of environmental impact of activated carbon production from wood waste

  • Kim, Mi Hyung;Jeong, In Tae;Park, Sang Bum;Kim, Jung Wk
    • Environmental Engineering Research
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    • 제24권1호
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    • pp.117-126
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    • 2019
  • Activated carbon is carbon produced from carbonaceous source materials, such as coconut shells, coals, and woods. In this study, an activated carbon production system was analyzed by carbonization and activation in terms of environmental impact and human health. The feedstock of wood wastes for the system reduced fossil fuel consumption and disposal costs. Life cycle assessment methodology was used to analyze the environmental impacts of the system, and the functional unit was one tonne of wood wastes. The boundary expansion method was applied to analyze the wood waste recycling process for activated carbon production. An environmental credit was quantified by avoided impact analysis. Specifically, greenhouse gases discharged from 1 kg of activated carbon production system by feeding wood wastes were evaluated. We found that this system reduced global warming potential of approximately $9.69E+00kg\;CO_2-eq$. compared to the process using coals. The environmental benefits for activated carbon production from wood wastes were analyzed in contrast to other disposal methods. The results showed that the activated carbon system using one tonne of wood wastes has an environmental benefit of $163kg\;CO_2-eq$. for reducing global warming potential in comparison with the same amount of wood wastes disposal by landfilling.

완전 자동화를 위한 주차 관제 시스템에 관한 연구 (A Study on Parking Control System for Fully Automated)

  • 옥인준
    • 디지털산업정보학회논문지
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    • 제15권3호
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    • pp.79-87
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    • 2019
  • The system proposed in this paper is a fully automated parking control system that can even protect users' information through blockchain. Unlike conventional parking control systems, the system consists of a web page that is accessible to people of all ages and ages, directly to the parking lot. Such a system would also benefit managers in the parking lot business. This is because it can reduce soaring labor costs and maximize the sales it can generate by operating 24 hours a day. In order to implement these systems, the web page was first designed using HTML and the API was configured using JAX-RS to invoke the API required by the web page. As a result, it created a web page that was easily accessible to anyone, built a server that could be accessed by more than 200 people at the same time, focused on personal information protection by encrypting the information of users through blockchain grafts, and designed a system that enabled users to complete payments easily. It is planning to add QR codes and GPS functions in the future and implement a function that allows one-touch information on parking lots and their vehicle information.

함수회귀분석을 통한 교통량 예측 (Functional regression approach to traffic analysis)

  • 이인주;이영경
    • 응용통계연구
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    • 제34권5호
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    • pp.773-794
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    • 2021
  • 교통량 예측은 지방 행정의 의사결정에 매우 중요한 정보를 제공한다. 교통량 예측을 통해 교통혼잡비용을 줄이고 지역경제를 활성화 함으로써 사회적, 경제적 이익을 창출할 수 있다. 교통량은 미지의 확률적 규칙하에서 시간의 흐름에 따라 궤적을 가지며 변화하는 함수데이터의 일종이다. 본 논문에서는 세 가지 함수회귀모형을 이용하여 과거에 관측된 교통량 궤적을 기반으로 미래의 관측되지 않은 교통량 궤적을 예측하는 방법을 제시한다. 본 논문에서 소개하는 세가지 방법은 전국 고속도로 영업소 중 서울, 춘천, 강릉 세 개 영업소에서 수집된 고속도로 영업소 데이터에 적용한다. 각 영업소 별로 세가지 방법의 예측오차를 비교함으로써 영업소별 최적 교통량 예측모형을 찾는다.

혼합 정수 선형 계획법 기반의 최적 경제 급전을 활용한 분산형 열병합 발전원의 송전선로 건설비용 회피 편익계산 (Calculating the Benefit of Distributed Combined Heat Power Generators from Avoiding a Transmission Expansion Cost by Solving a Mixed Integer Linear Programming)

  • 권욱현;박용기;노재형;박종배;이두희
    • 전기학회논문지
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    • 제68권4호
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    • pp.513-522
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    • 2019
  • We calculate the benefit of distributed combined heat power generators from avoiding a transmission expansion cost by building distributed generators near electricity demand centers. We determine a transmission expansion plan by solving a mixed integer linear problem, where we modify capacities of existing transmission lines and build new transmission lines. We calculate the benefit by comparing the sum of generation and transmission expansion costs with or without distributed generators through two simulation frames. In the first frame, for the current demand, we substitute existing distributed generators for non-distributed generators and measure an additional cost to balance the generation and demand. In the second frame, for increased future demand, we compare the cost to invest only in distributed generators to the cost to invest only in non-distributed generators. As a result, we show that the distributed generators have at least 5.8 won/kWh of the benefit from avoiding the transmission expansion cost.

Faster-than-real-time Hybrid Automotive Underwater Glider Simulation for Ocean Mapping

  • Choi, Woen-Sug;Bingham, Brian;Camilli, Richard
    • 해양환경안전학회지
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    • 제28권3호
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    • pp.441-450
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    • 2022
  • The introduction of autonomous underwater gliders (AUGs) specifically addresses the reduction of operational costs that were previously prohibited with conventional autonomous underwater vehicles (AUVs) using a "scaling-down" design philosophy by utilizing the characteristics of autonomous drifters to far extend operation duration and coverage. Long-duration, wide-area missions raise the cost and complexity of in-water testing for novel approaches to autonomous mission planning. As a result, a simulator that supports the rapid design, development, and testing of autonomy solutions across a wide range using software-in-the-loop simulation at faster-than-real-time speeds becomes critical. This paper describes a faster-than-real-time AUG simulator that can support high-resolution bathymetry for a wide variety of ocean environments, including ocean currents, various sensors, and vehicle dynamics. On top of the de facto standard ROS-Gazebo framework and open-sourced underwater vehicle simulation packages, features specific to AUGs for ocean mapping are developed. For vehicle dynamics, the next-generation hybrid autonomous underwater gliders (Hybrid-AUGs) operate with both the buoyancy engine and the thrusters to improve navigation for bathymetry mappings, e.g., line trajectory, are is implemented since because it can also describe conventional AUGs without the thrusters. The simulation results are validated with experiments while operating at 120 times faster than the real-time.

The Effect of COVID-19 on Restaurant Businesses and Their Response in Thailand

  • Saruda, SUNTHORNPAN;Sadayo, HIRATA
    • The Journal of Asian Finance, Economics and Business
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    • 제10권2호
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    • pp.123-133
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    • 2023
  • The COVID-19 pandemic has impacted the restaurant business adversely. The restaurant business is essential for Thailand's economy as it generates high income and a high employment rate. This study aimed to determine the relationships between restaurant businesses. Furthermore, it examined the problems encountered during COVID-19 and measures already implemented and planned. The research is intended to resolve these issues. We collected data from 136 people who worked in restaurants in Bangkok, Thailand, via telephone interviews. The data was analyzed by descriptive statistics and correspondence analysis using SPSS. The findings of this analysis indicate that all restaurants, irrespective of their size, face problems, though their planned and remedial actions are different. One finding was that medium restaurants face more financial problems and increased costs than others. They are countering this challenge through measures such as applying for loans and transitioning into a "non-restaurant" business. Nevertheless, typical medium restaurants have not engaged in extensive planning for the future. Based on a fact-finding survey, we considered appropriate short- and long-term measures suitable for micro, small and medium restaurants. In addition, our study's findings will help policymakers and practitioners identify strategies for responding to the COVID-19 outbreak and other future crises.

A Study on Big Data Analytics Services and Standardization for Smart Manufacturing Innovation

  • Kim, Cheolrim;Kim, Seungcheon
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권3호
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    • pp.91-100
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    • 2022
  • Major developed countries are seriously considering smart factories to increase their manufacturing competitiveness. Smart factory is a customized factory that incorporates ICT in the entire process from product planning to design, distribution and sales. This can reduce production costs and respond flexibly to the consumer market. The smart factory converts physical signals into digital signals, connects machines, parts, factories, manufacturing processes, people, and supply chain partners in the factory to each other, and uses the collected data to enable the smart factory platform to operate intelligently. Enhancing personalized value is the key. Therefore, it can be said that the success or failure of a smart factory depends on whether big data is secured and utilized. Standardized communication and collaboration are required to smoothly acquire big data inside and outside the factory in the smart factory, and the use of big data can be maximized through big data analysis. This study examines big data analysis and standardization in smart factory. Manufacturing innovation by country, smart factory construction framework, smart factory implementation key elements, big data analysis and visualization, etc. will be reviewed first. Through this, we propose services such as big data infrastructure construction process, big data platform components, big data modeling, big data quality management components, big data standardization, and big data implementation consulting that can be suggested when building big data infrastructure in smart factories. It is expected that this proposal can be a guide for building big data infrastructure for companies that want to introduce a smart factory.

경상남도 공공청사형 그린빗물인프라(GSI) 조성 체계 구축 (A study on the construction of the planning process Green Stormwater Infrastructure (GSI) in the public building in Gyeongsangnam-do)

  • 이효정;신현석
    • 한국수자원학회논문집
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    • 제56권4호
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    • pp.301-310
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    • 2023
  • 환경부에서는 2013년부터 소규모 분산식 빗물 관리 방식인 '그린빗물인프라(Green Stormwater Infrastructure, GSI) 조성 사업'을 추진하여 설치비를 지원함에 따라 각 지자체의 GSI 조성 사업은 매년 증가하고 있다. 하지만 「저영향개발 사전협의제도」를 도입하고 있는 서울시를 제외하면, 각 지자체별 가이드라인, 추진체계 부존의 문제로 도입에 어려움을 겪고 있다. 이에 본 연구에서는 경상남도를 대상으로 공공청사의 적용 범위 및 우선 순위 설정, 시범 구역 GSI 적용 효과 검토를 수행하고 이를 통합한 추진체계 구축을 연구 결과로써 제안하고자 한다.