• The Journal of Fisheries Business Administration
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• v.47 no.4
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• pp.1-13
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• 2016

Fish mortality is the most important success factor in aquaculture management. To analyze the effect of mortality considering biological and economic condition is a important problem in land-based aquaculture. This study is aimed to analyze the effect of mortality for duration of cultivation in land-based aquaculture. This study builds the mathematical model that finds the value of decision variable to minimize cost that sums up the water pool usage cost, sorting cost, fingerling cost and feeding cost under critical standing corp constraint. The proposed mathematical model involves many aspects, both biological and economical: (1) number of fingerlings (2) timing and number of batch splitting event, based on (3) fish growth rate, (4) mortality, and (5) several farming expense. Numerical simulation model presented here in. The objective of numerical simulation is to provide for decision makers to analyse and comprehend the proposed model. When extensive biological and cost data become available, the proposed model can be widely applied to yield more accurate results.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.56 no.3
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• pp.481-490
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• 2007

WASP which is used to plan generation expansion has disadvantages that can't manage environmental factors and regional supply-demand planning. But with the effectuation of the United Nations Framework Convention on Climate Change (UNFCCC) and Kyoto Protocol, it is expected that reducing greenhouse gases affects power system in its long-term generation expansion planning. Therefore national countermeasures is needed. This paper formulates a mathematical model considering CO2 emission constraints and Emission Trading that will be enforced. This model is based on the MEFISET (Model for Economic Feasibility of Interstate Electrical Ties) which was made by Korea Energy Economics Institute and Hong-ik university and manages generation expansion planning. And this mathematical model is verified by studying a case system.

• Industrial Engineering and Management Systems
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• v.6 no.1
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• pp.83-93
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• 2007

This paper gives an attempt to build a decision support tool linked with a simulation software called ARENA for evaluating and comparing the performance of the push and pull material driven strategies operating in the flow shop environment with a bottleneck resource as the shop's constraint. To be fair for such evaluation, the comparison must be made fairly under the optimal setting of both systems' operating parameters. In this study, an optimal-seeking heuristic algorithm, Genetic Algorithm (GA), is employed to suggest a systems' best design based on the economic consideration, which is the profit generated from the system. Results from the study have revealed interesting outcomes, letting us know the strength and weakness of the push and pull mechanisms as well as the effect of each operating parameter to the overall system's financial performance.

• Proceedings of the KIEE Conference
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• 2000.11a
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• pp.6-9
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• 2000

This paper presents the detailed derivation of optimal nodal price for active power to regionally evaluate system loss and congestion cost. The method is to decompose them into different components corresponding to system loss, transmission congestion, voltage constraint, and so on. The decomposed information for nodal price can be used to provide economic signals for generation or transmission investment as well as to improve the efficient usage of power grid and congestion management. The result of case study on IEEE 30 bus system is reported to illustrate the proposed method.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1183-1185
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• 1999

The basic purpose of economic dispatch problem is that minimize fuel cost with inequality constraint of generator output. To solve this problem it is very important to express power loss equation that have quadratic function of generator output power included B-coefficient. This Paper presents a method in determining B-coefficient by use A-matrix that is calculated by loss re-distribution algorithm (LRDA) considering voltage dependent load model (VDLM)s. The Proposed algorithm is tested with IEEE 6 bus sample system, which shows the result in each cases by the change of load component factor.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.24 no.2
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• pp.186-191
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• 2015

Presently, rapidly changing and unstable global economic environments demand engineers. Products should be designed to increase profits by lowering costs and provide distinguished performance compared with competitors. This study aims to optimize the design of the power-transmission drive shaft. The mass is reduced as an objective function, and the stress is constrained under a constant value. To reduce the number of experiments, CCD (central composite design) and D-Optimal are used for the experimental design. RSM (response surface methodology) is employed to construct a regression model for the objective functions and constraint function. In this problem, there is only one objective function for the mass. The other objective function gives 1; thus, NSGA-II is used.

• Proceedings of the Technology Innovation Conference
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• 2000.06a
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• pp.175-209
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• 2000

The performance of US economy in the last cecade is considered to be driven by the IT investment. However, the causal relationship has not been conclsive between IT investment and economic performance, which makes a decision in IT investment tricky. IT as a growth strategy is critical to the developing countries which experienced resource constraint. In case IT acts as a driving force in the new technology paradigm, the less investment in IT will continue to which the growth gap between countries. When IT dose not make a significant contribution to growth, heavy investment in IT means misallocations of resources. Therfore a decision on IT investment has critical implication in terms of growth strategy. Based on a growth accounting nethod, the current study is to analyse the contribution of IT

• Journal of Labour Economics
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• v.23 no.2
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• pp.39-59
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• 2000

Given the constraint that the unemployment benefit is not allowed to vary freely over the unemployment duration, this paper examines the optimal UI benefit structure. In particular, identifying the conflicting effects of benefit amount and benefit duration upon incentive and insurance, this paper characterizes the optimal combination of UI benefit amount and duration. Based upon some important factors determining the optimal UI benefit structure that are derived from the model, a set of directions for UI reform in Korea have been proposed.

• Journal of Families and Better Life
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• v.19 no.2
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• pp.111-127
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• 2001

The purposes of this study were to investigate the relationships between individuals characteristics (socio-economic status, time pressures, resources related with implementing housework), attitudes toward goods characteristics, and the level of market goods substitution of housework in the domain of foods and clothes. For empirical analysis, the data of the study was collected from 572 married women living in Seoul. Covariance structure analysis were employed for data analysis, using LISREL. The major findings were as follows: 1) Individuals characteristics, attitudes toward market goods characteristics, and the level of goods substitution of housework had causal relationships. 2) Generally, wifes age and resources related with implementing housework were negative predictors of the level of market goods substitution of housework and wifes education, income, time pressures, attitudes toward characteristics of market goods were positive predictors. Wifes employment was a constraint of Korean traditional sauce, clothes repairing service and laundry service purchases, but a facilitator of the level of dining-out.

• Proceedings of the KIEE Conference
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• 1997.07c
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• pp.1060-1063
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• 1997

A new generation planning algorithm considering environmental constraint by using fuzzy technique is developed. This algorithm has a new formula which can consider environmental constraints and an effective solving method which has newly developed fuzzy dual procedure. By using this algorithm, economic generation planning considering environmental constraints can be scheduled. The usefulness of this method is verified by applying it to the test system.