• The Transactions of the Korean Institute of Electrical Engineers A
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• v.53 no.9
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• pp.481-486
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• 2004

In operation of distribution system, $DG_s$ Distributed Generations) are installed as an alternative of extension and establishment of substations and transmission and distribution lines according to increasing power demand. In operation planning of $DG_s$, determining optimal capacity and allocation gets economical pro(it and improves power reliability. This paper proposes determining a optimal number, size and allocation of $DG_s$ needed to minimize operation cost of distribution system. Capacity of $DG_s$ (or economical operation of distribution system estimated by the load growth and line capacity during operation planning duration, DG allocations are determined to minimize total cost with power buying cost. operation cost of DG, loss cost and outage cost using GA(Genetic Algorithm).

• The Journal of the Korea Contents Association
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• v.5 no.1
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• pp.169-178
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• 2005

This paper presented high-level function model to achieve traffic engineering to construct traffic engineering infrastructure in Internet. Function model presented include traffic management, capacity management, and network planing. It is ensured that network performance is maximized under all conditions including load shifts and failures by traffic management. It is ensured that the network is designed and provisioned to meet performance objectives for network demands at minimum cost by capacity management. Also it is ensured that node and transport capacity is planned and deployed in advance of forecasted traffic growth by network planning.

• Proceedings of the KSR Conference
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• 2004.06a
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• pp.507-513
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• 2004

In the railway system, transportation plan corresponds to a m aster plan for transport services. This service plan must be constructed to minimize operational cost or maximize revenue considering transportation demands and resource capacities in the railway operation company, and it includes several sub-planning activities such as train operation frequency plan, train (schedule) plan, train capacity assignment plan, and rolling stock requirement plan. In these sub- planning processes, train can be con side red as a product for providing customer services, and customer demands and operational advantages must be considered. In this paper, we present an effect estimation system for the train capacity pattern in a train schedule, and the effect of capacity pattern can be expressed as minimum spilled demand, minimum train service cost, and maximum train revenue or profit.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.51
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• pp.117-127
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• 1999

Modern production control systems based on MRPⅡ (Manufacturing Resource planning) didn't solved about the capacity and lead time problems. In the past, It solved that problems under deterministic. Therefore, the problem about determination of correct lead time and finite capacity are studied continuously by researchers. Now, we need to a integrated method that is from low level to high level instead of top-down in MRP. In this research uses the MRP-C(Capacitated Material Requirement Planning) concept that is more efficient then MRP system for capacity and flexible lead time , and shows the MRP-C algorithm and the prototype.

• Journal of Intelligence and Information Systems
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• v.4 no.1
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• pp.1-10
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• 1998

Process planning is a very complex task and requires the dynamic informatioon of shop foor and market situations. Process plan selection is one of the main problems in the process planning. In this paper, we propose a new process plan selection model considering operation flexibility for the computer aided process planing. The model is formulated as a 0-1 integer programming considering realistic shop factors such as production volume, machining time, machine capacity, transportation time and capacity of tractors such as production volume, machining time, machine capacity, transportation time capacity of transfer device. The objective of the model is to minimize the sum of the processing and transportation time for all parts. A genetic algorithm a, pp.oach is developed to solve the model. The efficiency of the proposed a, pp.oach is verified with numerical examples.

• International Journal of Railway
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• v.1 no.4
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• pp.134-142
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• 2008

Serving as a strategic crossing point for major corridors in Central Europe, Railnet Austria's Infrastructure Network incurs continual increases in international traffic flows and is therefore subject to accumulating traffic congestion with potential restrictions to infrastructure access. This imposes challenges towards preserving open access to Railnet Austria's existing railway network and hinders quality infrastructure service during maintenance, repair, and upgrading. Through Railnet Austria's experiences, the economic viability of a railway network can be sustained through maintaining open access with good quality service of planned trainpaths, thus representing new challenges for future infrastructure maintenance and capacity planning. Railnet Austria's Capacity Management Department has proven that these challenges can be accommodated more effectively through recent technological developments in data warehousing and software development.

• Convergence Security Journal
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• v.2 no.2
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• pp.9-17
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• 2002

Traffic engineering function consists of traffic management, capacity management and network planning. In this paper, we present the requirements for each functional traffic management, and also present functional and process model to efficiently to handle the traffic engineering for multimedia internet services. Finally, the traffic management methods for each step are described in detail.

• Convergence Security Journal
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• v.2 no.2
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• pp.89-97
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• 2002

We use the call routing to interpret the number or name for routing address in multimedia internet. The routing address is used for connection setup. The traffic engineering consists of traffic management, capacity management and network planning. In this paper, in the traffic management function, the basic functions for call routing and connection/bearer-path routing will be presented.

• Journal of the Korean Operations Research and Management Science Society
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• v.10 no.2
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• pp.15-23
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• 1985

A multi-product multi=facility production planning model is in which known demands must be satisfied. The model considers concave production costs and piecewise concave inventory costs in the introduction of production capacity constraints. Backlogging of unsatisfied demand is permitted. The structure of optimal production schedules is characterized and then used to solve an illustrative numerical problem.

• Journal of Practical Agriculture & Fisheries Research
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• v.22 no.2
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• pp.37-50
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• 2020

The purpose of this study is to identify professional development needs of Extension professionals and to evaluate competencies essential to be a successful Extension professional. For the purpose of this study, quantitative capacity data of extension professionals were collected from the survey instrument based on Extension Professional Evaluation Scale in Utah state university. Descriptive statistics, mean difference analysis, IPA(importance-performance analysis) analysis were used to analyze the data. The main results of the study are as follows. First, it is necessary to first reinforce education on specialized technical capacity among the three extension capacity areas. The current status of the professional capacity of extension professionals in the three areas was found to be at the average level, and the level of professional technical capacity was relatively low. In addition, the importance was evaluated that professional technology capacity is more important than the project development/evaluation capacity and communication capacity. Second, Second, in order to reinforce communication capacity, it is necessary to strengthen education on 'development of joint educational materials with colleagues'. Third, in order to reinforce project development/evaluation capacity, it is necessary to strengthen education on 'project planning'. In the IPA analysis results, the importance was high, but the capacity with relatively low performance were analyzed as 'project planning'. Fourth, in order to reinforce professional technical capacity, it is necessary to develop an education program for 'crop expertise' first. In the IPA analysis results, the importance was high, but the competencies with relatively low performance were analyzed as 'crop technology expertise'.