• 대한화학회지
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• 제56권2호
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• pp.257-263
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• 2012

The selection of suitable delignification conditions and optimization of process variables is crucial to the successful operation of chemical pulping processes. Soda pulping of Carpolobia lutea was investigated, as an alternative raw material for pulp and paper production. The process was optimized under the influence of three operational variables, namely, temperature, time and concentration of cooking liquor. Equations derived using a second - order polynomial design predicted the pulp yield and lignin dissolution with errors less than 8% and 11% respectively. The maximum variations in the pulp yield using a second order factorial design was caused by changes in both time and alkali concentration. Optimum pulp yield of 43.87% was obtained at low values of the process variables. The selectivity of lignin dissolution was independent of the working conditions, allowing quantitative estimations to be established between the pulp yield and residual lignin content within the range studied.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 추계학술대회 논문집 전력기술부문
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• pp.107-110
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• 2004

This paper provides calculation of nodal price using voltage variables on Power System Operation. In this method we show deriving Shadow Price from state variables in Optimal condition. and we presented a new spliting method using voltage variables for zonal price. The proposed method is applied to IEEE-30 and results shows the effectiveness of the method.

• Journal of the Korean Data and Information Science Society
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• 제23권5호
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• pp.1017-1025
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• 2012

We consider estimations for the reliability in two independent variables with Pareto and uniform or exponential distributions. And then we compare the mean squared errors of two reliability estimators for each case. We also observe the skewness of densities of the ratio for each case.

• 품질경영학회지
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• 제11권1호
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• pp.30-43
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• 1983

Evolutionary Operation was proposed by Box(1957) as an operating procedure for nudging a plant toward optimum conditions without causing dramatic disturbances and catastrophic cutbacks in production. In case two or three operating variables are monitored, Box and Hunter (1959) show how the EVOP is facilitated by using simplified calculations and emphasizing graphical presentation. Now, in this artical we develope EVOP when four operating variables are monitored and suggest more extended EVOP in general case.

• Journal of the Korean Data and Information Science Society
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• 제18권2호
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• pp.401-409
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• 2007

This paper addresses a performance evaluation model for ERP system's implementation using Analytic Network Process (ANP) technique. In this study, the performance variables are identified as the perspectives of cost, business process, systems operation, and change management, respectively. The empirical study also investigated factors that affect the performance variables to find out the causal relationship between them using the ANP approach. The data for the empirical analysis were collected from manufacturing companies that have implemented ERP systems. The research findings indicate the proposed model is powerful in proposing that the indirect relationship between influencing factors and managerial effectiveness, mediated by employee satisfaction, is an important one.

• 한국정밀공학회지
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• 제13권6호
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• pp.145-151
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• 1996

In sawing operation of cubic zirconia, the performance of diamond cutter blade is very dependent on the blade variables. This investigation presents experimental results which show the effects of the blade variables such as concentration, grain size of diamond, types of diamond abrasives, and bond materials on the behavior of the blades. Based on the experimental results an optimum blade condition for the sawing of cubic zirconia was recommended.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1995년도 춘계학술대회 논문집
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• pp.23-27
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• 1995

In sawing operation of synthetic jewelry, the performance of diamond cutter blade is very dependent on the blade variables. This investigation presents ecperimental results which show the effects of the blade variables such as types of diamond abrasives, grain size of diamond, concentration, and bond materials on the beavior of te blades. Based on the experimental results an optimum blade condition for the sawing of cubic zirconia was recommended.

• 산업공학
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• 제12권2호
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• pp.337-345
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• 1999

This paper presents the optimization of a drilling operation subject to machining constraints such as power, torque, thrust, speed and feed rate. The optimization is meant to minimize the machining time required to produce a hole. For the first time, the effects of a pilot hole are included in the formulation of the machining constraints. The optimization problem is solved by using the geometric programming technique. The dual problem is simplified based on the characteristics of the problem, and the effects of machining constraints on the machining variables are identified.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 26-27 Oct. 1990
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• pp.411-416
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• 1990

A modelling process of a robotic assembly cell and a method for analysis of the assembly cell operation through simulation are presented. An assembly cell including industrial robots is the subject of the model. The states of the assembly cell elements are taken as the state variables and the relationships between the states are described mathematically using the operators. An algorithm for the cell operation is developed from the relationships between the states and the information on the assembly task, and efficient analyses are performed by the simulation results.

• KIEAE Journal
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• 제15권4호
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• pp.105-110
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• 2015

Purpose: This study aimed at finding the optimal input variables of the artificial neural network-based predictive model for the optimal controls of the indoor temperature environment. By applying the optimal input variables to the predictive model, the required time for restoring the current indoor temperature during the setback period to the normal setpoint temperature can be more precisely calculated for the cooling season. The precise prediction results will support the advanced operation of the cooling system to condition the indoor temperature comfortably in a more energy-efficient manner. Method: Two major steps employing the numerical computer simulation method were conducted for developing an ANN model and finding the optimal input variables. In the first process, the initial ANN model was intuitively determined to have input neurons that seemed to have a relationship with the output neuron. The second process was conducted for finding the statistical relationship between the initial input variables and output variable. Result: Based on the statistical analysis, the optimal input variables were determined.