• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.1
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• pp.337-346
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• 2013

A design collaboration system for a plant project is a set of complicated multidisciplinary processes in which a large number of various engineering fields are involved. Each subsystem is related to each other as they depend on information that other subsystems create, which leads to inefficient design iterations. This study presents an optimal design collaboration system for a plant project using Design Structure Matrix (DSM). Data regarding design subsystems, parameters, etc. were obtained by expert surveys and workshops. An automatic analysis program for DSM was developed using Visual Basic Application and Matlab to provide a partitioned DSM. A case study was conducted on a furnace project; consequently, the optimal design collaboration system with five crucial iteration groups was derived.

• Industrial Engineering and Management Systems
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• v.6 no.1
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• pp.11-21
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• 2007

The PDCA (Plan, Do, Check and Act) cycle is often used in the field of quality management. Recently, business environments have become more competitive, and the due time of products has shortened. In a short production run process, to increase efficiency of management, the necessity for distinguishing the PDCA design that starts with PLAN and the CAPD design that starts with CHECK has been clarified. Starting from Duncan (1956), there have been a number of papers dealing with the economic design of control charts from the viewpoint of production run. Some authors (Gibra, 1971; Ladany and Bedi, 1976; etc.) have studied the economic design for finite-length runs; other authors (Crowder, 1992; Del Castillo and Montgomery, 1996; etc.) have studied the economic design for short runs. However, neither the PDCA nor the CAPD design of control charts has been considered. In this paper, both the PDCA and CAPD designs of the $\bar{\x}$ chart are defined based on Del Castillo and Montgomery's design (1996), and their mathematical formulations are shown. Then from an economic viewpoint, the optimal values of the sample size per each sampling, control limits width, and the sampling interval of the two designs are studied. Finally, by numerically analyzing the relations between the key parameters and the total expected cost per unit time, the comparisons between the two designs are considered in detail.

• Journal of Distribution Science
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• v.13 no.4
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• pp.9-19
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• 2015

Purpose - This study focuses on the use of evaluative criteria software for imprecise market information, and product mapping relationships between design parameters and customer requirements. Research design, data, and methodology - This study involved using the product predicted value method, synthesizing design alternatives through a morphological analysis and plan, realizing the synthesis in multi-criteria decision-making (MCDM), and using its searching software capacity to obtain optimal solutions. Results - The establishment of product designs conforms to the customer demand, and promotes the optimization of several designs. In this study, the construction level analytic method and the simple multi attribute comment, or the quantity analytic method are used. Conclusions - This study provides a solution for enterprise products' multi-goals decision-making, because the product design lacks determinism, complexity, risk, conflict, and so on. In addition, the changeable factor renders the entire decision-making process more difficult. It uses Fuzzy deduction and the correlation technology for appraising the feasible method and multi-goals decision-making, to solve situations of the products' multi-goals and limited resources, and assigns resources for the best product design.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.25 no.12
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• pp.693-699
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• 2013

This paper describes a method for size optimization of the major design variables for solar water heating systems at the stage of concept design. The widely used RETScreen simulation tool was used for optimization. Currently, the RETScreen tool itself does not provide a function for optimization of the design parameters. In this study, an optimizer was combined with the software. A comparative study was performed to evaluate the RETScreen-based approach with the case study of a solar heating system in an office building. The optimized results using the RETScreen model were compared to previously published results with the TRNSYS model. The objective function of the optimization is the life-cycle cost of the system. The optimized design results from the RETScreen model showed good agreement with the optimized TRNSYS results for the solar collector area and storage volume, but presented a slight difference for the collector slope angle in terms of the converged direction of the solutions. The energy cost, life-cycle cost, and thermal performance regarding collector efficiency, system efficiency, and solar fraction were compared as well, and the RETScreen model showed good agreement with the TRNSYS model for the conditions of the base case and optimized design.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.38 no.4
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• pp.277-284
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• 2001

Viterbi algorithm is widely used in digital communication system for FEC(forward error correction). Each communication systems based on the Viterbi algorithm use specific Viterbi decoder which has different code parameter values. Even if Viterbi decoder has the same code parameters, it can be varied by the design architecture adopted. We propose the parameterized VHDL model generator for the efficiency of the design. It makes it possible to achieve shorter design time and lower design cost. The model generator searches the design space available and finds out the optimal design point to generate a decoder model.

• Proceedings of the Korean Society For Composite Materials Conference
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• 2000.04a
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• pp.143-148
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• 2000

In this article, we presents multi-objective design optimization of laminated composite beam using Fuzzy programming method. At first, the two design objectives are minimizing the structural weight and maximizing the buckling load respectively. Fuzzy multi-optimization problem can be formulated based on results of single optimizations. Due to different relative importance of design objectives, membership functions are constructed by adding exponential parameters for different objective's weights. Finite element analysis of composite beam for buckling behavior are carried by Natural mode method proposed by J.Argyris and computational time of analysis can be reduced. With this scheme, a designer can conveniently obtain a compromise optimal solution of a multi-objective optimization problem only by providing some exponential parameters corresponding to the importance of the objective functions.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.66.2-66
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• 2002

In this study, a novel systematic design procedure by Genetic Algorithm of a two stage relief valve is proposed. First of all, a mathematical model describing the dynamics of a balanced piston type relief valve has been derived. Governing equations such as dynamic equations for the main spool and the pilot spool and flow equations for each orifice are established. The mathematical model is verified by comparing the results of simulation with that of experiments. Furthermore, influences of the parameters on the dynamic characteristics of a relief valve have been investigated by simulation of the proposed model. Major design parameters on the valve response are determin...

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.6 no.4
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• pp.15-21
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• 2007

The effect of manufacturing parameters on friction characteristics of motorcycle break system was studied using a disk-on-pad type friction tester. Such parameters conditions have an effect on the frictional factor such as number of ventilated disk hole, applied load, sliding speed, and sliding distance. However, it is difficult to know the mutual relation of these factors. In this study, the friction characteristics using design of experiment containing 4 elements were investigated for an optimal condition for the best motorcycle break system employing regression analysis method. From this study, the result was shown that the applied load in frictional factors was the most important, next to sliding speed, number of ventilated disk hole.

• Proceedings of the KSME Conference
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• 2002.08a
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• pp.627-630
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• 2002

In the present study a mesh generation program is developed for the flow analysis of industrial mixers. With this program one can select various design parameters such as impeller types, vessel type, number of baffles, number of blades, blade pitched angle, stages of impeller, rotational speed etc. Post processing capabilities are also imbedded in the program. Along with brief explanation of the program, examples of flow simulation for various type of mixers by using the program are also presented to show effectiveness of the program. It is expected that this program can be used to understand the effect of design parameters on the performance of particular type of the mixer, and hence to achieve the optimal design.

• Journal of ILASS-Korea
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• v.15 no.3
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• pp.124-130
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• 2010

Numerical simulation has been performed to investigate the mist flow characteristics through the fire suppression nozzles for the design purposes. The commercial softwares, FLUENT and the fire dynamic simulator, FDS with the proper modelings were chosen as the numerical tools. In order to find optimal conditions in sense of the main performances of nozzles, the spray characteristics were analyzed both inside and outside of the nozzles. Geometric factors of the injecting orifices, i.e., diameter and chamfered angle were chosen as the simulation parameters for design application. From the present numerical results, 1.0c nozzles, whose orifice-diameter was 1 mm, having the chamfered angles were shown as the best performance of the fire suppression.