• Title/Summary/Keyword: operation planning system

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A Study on The Database Design and Construction of Power System Operational Planning System (전력수급계획시스템 데이터베이스 설계 및 구축에 관한 연구)

  • Ahn, Yang-Keun;Park, Si-Woo;Nam, Jae-Hyun
    • Proceedings of the KIEE Conference
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    • 1998.07c
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    • pp.1012-1014
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    • 1998
  • This paper presents a database design for power system operational planning system of the integrated system for power system operational planning and analysis that will be more economical and stable of power system operation. An alias of the integrated system is Highly Integrated Total Energy System(HITES). We first describe the requirements for the Power System Planning System of HTES. Database design is processed in two phases(conceptual design and physical design), and CDM(Conceptual Data Model) and PDM(Physical Data Model) are generated by Powerdesigner(CASE tool for database design). In the future, the constructed database needs to be tested and tuning.

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A Process Planning System for Machining of Dies for Auto-Body Production (자동차 차체금형 가공용 공정계획 시스템)

  • 신동목;이창호;이기우
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.5
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    • pp.108-115
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    • 2000
  • This paper presents a variant type process planning system for machining of dies for auto-body production. Through the analysis of dies and their manufacturing processes, the authors categorized the press dies into 15 groups according to the similarity of machining features. After critically reviewing current manufacturing procedures, a standard process plan was defined for each group. The authors present MP3D the process planning system built on the standard process plan database, and show how they apply it at the die manufacturing plant of an automobile company. MP3D is expected to reduce major losses in machining such as reworking caused by mistakenly uncut features and eventually to help to accumulate the knowledge of operators. The operation sheet MP3D produces is also used in monitoring the progress of manufacturing of dies. This paper explains the whole development cycle of a process planning system from process analysis to application so that it can help readers to develop and apply a process planning system to their machine shops.

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Development of Integrated Computer-Aided Process Planning System for Press Working Products (프레스 제품의 가공을 위한 통합적 CAPP 시스템 개발)

  • Choi, Jung-Il;Kim, Chang-Bong;Kim, Chul;Kim, Byung-Min;Choi, Jae-Chan
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.8
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    • pp.59-70
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    • 1999
  • This paper deals with automated computer-aided process planning by which designers can determine operation sequences even if they have little experience in the design of press working products. The computer-aided process planning in hot forging, deep drawing and blanking requires many kinds of technical and empirical skills based on investigation and collection of the knowledge of their processes. An approach to the CAPP system is based on the knowledge-based rules and the process knowledge base consisting of process planning rules is built. The methodology adopted to develop the system is elaborated in this paper. This system has been written in AutoLISP on the AutoCAD with a personal computer and provides powerful capabilities for process planning of hot forging, cold forging, deep drawing and blanking products.

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Optimal Capacity and Allocation of Distributed Generation by Minimum Operation Cost in Distribution Systems

  • Shim Hun;Park Jung-Hoon;Bae In-Su;Kim Jin-O
    • KIEE International Transactions on Power Engineering
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    • v.5A no.1
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    • pp.9-15
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    • 2005
  • In the operation of distribution systems, DGs (Distributed Generations) are installed as an alternative to extension and the establishment of substations, transmission and distribution lines according to the increasing power demand. In the operation planning of DGs, determining optimal capacity and allocation achieves economical profitability and improves the reliability of power distribution systems. This paper proposes a determining method for the optimal number, size and allocation of DGs in order to minimize the operation costs of distribution systems. Capacity and allocation of DGs for economical operation planning duration are determined to minimize total cost composed with power buying cost, operation cost of DGs, loss cost and outage cost using the GA (Genetic Algorithm).

The Study on Elaboration and Applications of the Urban Regeneration Monitoring Indicators - Based on Foreign Cases - (도시재생사업 모니터링 지표 구축 및 적용 방안 연구 - 해외 도시재생 모니터링 지표 고찰을 중심으로 -)

  • Choi, Min-Ah;Choi, Ji-In;Yang, Dong-Suk
    • KIEAE Journal
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    • v.13 no.3
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    • pp.51-60
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    • 2013
  • The necessity of urban regeneration is recently increasing because of the deterioration existing urban area and the slowdown of new development operations. The urban regeneration is differentiated from other private operations by its public characters, which is the basis of public support. This character demands verification of the adequacy for public finance support by monitoring urban regeneration planning and operation. Therefore, this study aims to show the monitoring indicators and its application in legal system for urban regeneration through the examination of foreign countries cases. London, San Francisco, and France urbanism regulation and planning system show the measure for introducing urban regeneration monitoring system into korean urbanism institution. This study is significant by suggesting the circulation structure of urban regeneration by linking planning, operations and monitoring phases. The monitoring system permits improvement of urban regeneration by clarifying objects and ameliorating efficiency by continuos observation and application of its evaluation.

A Study on the Revitalization Plan of Changwon Persimmon Theme Park by Analyzing the Actual Condition of Rural Theme Park (농촌테마공원 실태분석을 통한 창원단감테마공원 활성화 방안)

  • Choi, Young-Wan;Eun, Hee-Chang;Kim, Young-Joo
    • Journal of Korean Society of Rural Planning
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    • v.23 no.4
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    • pp.91-98
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    • 2017
  • The purpose of this study is to analyze the actual condition of the already established rural theme park, draw the weak and strong points, and come up with an efficient performance plan for Changwon Persimmon Theme Park through the benchmarking of the best overseas case. According to the analysis, it is necessary to introduce a facility and a program for family customers as a plan for promoting Changwon Persimmon Theme Park. It is required to secure safety through public operation and management, improve scalability of the facility through the establishment of multi-functional complex facility, and come up with a plan for operating a special program associated with local resources. Therefore, this study drew three activation factors: the establishment of operation and management system, the development of operation contents by facility, and the establishment of operation in each area. First, to establish the operation and management system, it is necessary to classify the organization of the theme park into the operation business area and into operation & management area by job function. Secondly, it is necessary to establish a special program in consideration of space and facility, suggest a differentiated plan for operation contents, and create a facility operation plan and program for Changwon Persimmon Theme Park. Lastly, to operate and manage Changwon Persimmon Theme Park smoothly, it is necessary to set the theme park space as open collaboration space which the local residents can share and participate in by avoiding the conventional administration-based business performance and operation. This study suggested the plan for establishing an operation and management system for Changwon Persimmon Theme Park and its operation, the establishment of a special program, a business performance strategy, and the use of internal and external spaces of the theme park.

Flexible operation and maintenance optimization of aging cyber-physical energy systems by deep reinforcement learning

  • Zhaojun Hao;Francesco Di Maio;Enrico Zio
    • Nuclear Engineering and Technology
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    • v.56 no.4
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    • pp.1472-1479
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    • 2024
  • Cyber-Physical Energy Systems (CPESs) integrate cyber and hardware components to ensure a reliable and safe physical power production and supply. Renewable Energy Sources (RESs) add uncertainty to energy demand that can be dealt with flexible operation (e.g., load-following) of CPES; at the same time, scenarios that could result in severe consequences due to both component stochastic failures and aging of the cyber system of CPES (commonly overlooked) must be accounted for Operation & Maintenance (O&M) planning. In this paper, we make use of Deep Reinforcement Learning (DRL) to search for the optimal O&M strategy that, not only considers the actual system hardware components health conditions and their Remaining Useful Life (RUL), but also the possible accident scenarios caused by the failures and the aging of the hardware and the cyber components, respectively. The novelty of the work lies in embedding the cyber aging model into the CPES model of production planning and failure process; this model is used to help the RL agent, trained with Proximal Policy Optimization (PPO) and Imitation Learning (IL), finding the proper rejuvenation timing for the cyber system accounting for the uncertainty of the cyber system aging process. An application is provided, with regards to the Advanced Lead-cooled Fast Reactor European Demonstrator (ALFRED).

A flow-directed minimal path sets method for success path planning and performance analysis

  • Zhanyu He;Jun Yang;Yueming Hong
    • Nuclear Engineering and Technology
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    • v.56 no.5
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    • pp.1603-1618
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    • 2024
  • Emergency operation plans are indispensable elements for effective process safety management especially when unanticipated events occur under extreme situations. In the paper, a synthesis framework is proposed for the integration success path planning and performance analysis. Within the synthesis framework, success path planning is implemented through flow-directed signal tracing, renaming and reconstruction from a complete collection of Minimal Path Sets (MPSs) that are obtained using graph traversal search on GO-FLOW model diagram. The performance of success paths is then evaluated and prioritized according to the task complexity and probability calculation of MPSs for optimum action plans identification. Finally, an Auxiliary Feed Water System of Pressurized Water Reactor (PWR-AFWS) is taken as an example system to demonstrate the flow-directed MPSs search method for success path planning and performance analysis. It is concluded that the synthesis framework is capable of providing procedural guidance for emergency response and safety management with optimal success path planning under extreme situations.

A Virtual Manufacturing System the Integration of Process Planning and Scheduling (공정계획 및 일정계획 통합을 위한 가상 생산 시스템)

  • Park, Ji-Hyung;Yum, Ki-Won
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.1 s.94
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    • pp.161-166
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    • 1999
  • Virtual Manufacturing System(VMS) is a computer model that represents the precise and whole structure of manufacturing systems and simulates their physical and logical behavior in operation. In this paper, a real time simulation for the virtual factory is proposed to integrate a process planning with scheduling under distributed environments. In order to communicate the information under distributed environments, we use a server/client concept using socket program and internet.

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Simplification of Monte Carlo Techniques for the Estimation of Expected Benefits in Stochastic Analysis of Multiple Reservoir System

  • Lee, Kwang-Man;Ko, Seok-Ku
    • Korean Journal of Hydrosciences
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    • v.5
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    • pp.57-70
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    • 1994
  • For the system benefit optimization by considering risk or reliability from a multiple reservoir system using the Monte Carlo Technique, Many stochastically generated inflow series have to be used for the system analysis. In this study, the stochastically generated inflow series for the multiple reservoir system operation are preprocessed according to the considering system objectives and operating time periods. Through this procedure, several representative inflow series which have discrate probability levels and operation horizons are selected among the thousands of generated inflows. Then a deterministic optimization technique is applied to the hydropower energy estimation from the Han River Reservoir System which considers five reservoirs in this study. It took much less computational requirements than using the original Morite Carlo Technique, even though estimated result was almost similar.

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