• Journal of Korean Institute of Industrial Engineers
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• v.19 no.4
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• pp.41-48
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• 1993

Prime advantage of flexible manufacturing systems(FMS) is a flexibility. Flexibility is expected to prolong the service life of a manufacturing facility and enable it to respond quickly and economically to dynamic market change. The FMS loading decision is concerned with the allocation of operations and tools to machines subject to technological and capacity constraints of the system. Modern FMS loading problem has the multiple objectives such as processing cost, time and work load balance. We propose multi-objectives which could be used to formulate the loading/routeing problem and sequencing decision which should be adopted for each part type in order to maximize the machine flexibility by Hamming distance matrix based on Incidance matrix. Finally, a numerical example is provided to illustrate the proposed model.

• International Journal of Control, Automation, and Systems
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• v.5 no.4
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• pp.436-443
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• 2007

In this paper, an intelligent method called BELBIC (Brain Emotional Learning Based Intelligent Controller) is used to control of Locally Linear Neuro-Fuzzy Model (LOLIMOT) of Washing Machine. The Locally Linear Neuro-Fuzzy Model of Washing Machine is obtained based on previously extracted data. One of the important issues in using BELBIC is its parameters setting. On the other hand, the controller design for Washing Machine is a multi objective problem. Indeed, the two objectives, energy consumption and effectiveness of washing process, are main issues in this problem, and these two objectives are in contrast. Due to these challenges, a Multi Objective Genetic Algorithm is used for tuning the BELBIC parameters. The algorithm provides a set of non-dominated set points rather than a single point, so the designer has the advantage of selecting the desired set point. With considering the proper parameters after using additional assumptions, the simulation results show that this controller with optimal parameters has very good performance and considerable saving in energy consumption.

• Korean Management Science Review
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• v.32 no.4
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• pp.69-80
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• 2015

The semiconductor industry is one of those in which the most intricate processes are involved and there are many critical factors that are controlled with precision in those processes. Naturally production scheduling in the semiconductor industry is also very complex and studied by the industry and academia for many years; however, still there are many issues left unclear in the problem. This paper proposes an multi-objective optimization-based scheduling method for semiconductor fabrication(fab). Two main objectives are throughput maximization and meeting target production quantities. The first objective aims to reduce production cost, especially the fixed cost incurred by a large investment constructing a new fab facility. The other is meeting customer orders on time and also helps a fab maintain stable throughput through controlled WIP balancing in the long run. The paper shows a trade-off structure between the two objectives through experimental studies, which provides industrial practitioners with useful references.

• IE interfaces
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• v.24 no.3
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• pp.220-230
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• 2011

The multi-reservoir operation problem for efficient utilization of water resources involves conflicting objectives, and the problem can be solved by varying weight coefficient on objective functions. Accordingly, decision makers need to choose appropriate weight coefficients balancing the trade-offs among multiple objectives. Although the appropriateness of the weight coefficients may depend on the total amount of water inflow, reservoir operating policy may not be changed to a certain degree for different hydrological conditions on inflow. Therefore, we propose to use fuzzy Data Envelopment Analysis (DEA) to rank the weight coefficients in consideration of the inflow variation. In this approach, we generate a set of Paretooptimal solutions by applying different weight coefficients on Coordinated Multi-reservoir Operating Model. Then, we rank the Pareto-optimal solutions or the corresponding weight coefficients by using Fuzzy DEA model. With the proposed approach, we can suggest the best weight coefficients that can produce the appropriate Pareto-optimal solution considering the uncertainty of inflow, whereas the general DEA model cannot pinpoint the best weight coefficients.

• Advances in Computational Design
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• v.8 no.4
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• pp.327-351
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• 2023

This article explores how multi-objective optimization techniques can be used to design cost-effective and structurally optimal spatial steel structures, highlighting that optimizing performance can be as important as minimizing costs in real-world engineering problems. The study includes the minimization of maximum horizontal displacement, the maximization of the first natural frequency of vibration, the maximization of the critical load factor concerning the first global buckling mode of the structure, and weight minimization as the objectives. Additionally, it outlines a systematic approach to selecting the best design by employing four different evolutionary algorithms based on differential evolution and a multi-criteria decision-making methodology. The paper's contribution lies in its comprehensive consideration of multiple conflicting objectives and its novel approach to simultaneous consideration of bracing system, column orientation, and commercial profiles as design variables.

• Journal of Korean society of Dental Hygiene
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• v.20 no.3
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• pp.325-333
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• 2020

Objectives: The purpose of this study was to determine the factors influencing oral health education of adolescents from multi-cultural families. Methods: The subjects were 711 multi-cultural adolescents from the 15th(2019) Korean youth risk behavior web-based survey. Multi-cultural adolescents were defind as the children of marriage migrant women. The collected data was analyzed using the chi-squared test and logistic regression; SPSS versin 18.0 was used. Results: Middle-school adolescents received more oral health education than their high-school counterparts. The adolescents with once-daily and twice-daily teeth brushing behaviors were 0.475 (p<0.05) and 0.784 times less those with thrice-daily behavior, respectively. Adolescents who received oral health education also experienced dental care 1.644 times more than their counterparts(p<0.05). Conclusions: The promotion of oral health among multicultural families and further education through the establishment of school oral health education programs are required.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.167-178
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• 2019

In this paper, we study the multi-objectives vehicle and drone routing problem with time windows, MOVDRPTW for short, which is defined in an urban delivery network. We consider the dual modal delivery system consisting of drones and vehicles. Drones are used as a complement to the vehicle and operate in a point to point manner between the depot and the customer. Customers make various requests. They prefer to receive delivery services within the predetermined time range and some customers require fast delivery. The purpose of this paper is to investigate the effectiveness of the delivery strategy of using drones and vehicles together with a multi-objective measures. As experiment datasets, we use the instances generated based on actual courier delivery data. We propose a hybrid multi-objective evolutionary algorithm for solving MOVDRPTW. Our results confirm that the vehicle-drone mixed strategy has 30% cost advantage over vehicle only strategy.

• Proceedings of the KSR Conference
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• 2006.11b
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• pp.981-989
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• 2006

The purpose of this article is to depict the relationship between the frames of leadership and the dependent variables such as job satisfaction, respect from subordinates, promotion, and effective attainment of unit objectives. To attain this purpose, for types of multiple leadership frames, such as structural, human resources, political, and symbolic frames were surveyed through questionnaire and analyzed by SPSS. The major findings are : 1) In general, the symbolic frame is an important factor having a stronger influence on job satisfaction, respect from subordinates, promotion, and effective attainment of unit objectives. 2) In details, the human resources frame shows a positive effects on job satisfaction and respect; the structural frame on effective attainment of unit objectives; the political frame, to a certain degree, on promotion; and the symbolic frame, especially on respect from subordinates, promotion, and effective attainment of unit objectives.

• Korean Management Science Review
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• v.13 no.3
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• pp.173-186
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• 1996

This paper presents an approach for classifying scheduling problems and selecting a heuristic rule to yield best solution in terms of certain performance measure(s). Classification parameters are employed from previous studies on job shop scheduling and project scheduling. Neural network is used for learning and estimating the performance of heuristic rules. In addition, multi-criteria decision making techniques are employed to combine the preferences for each performance measure and heuristic rule for the problems with multi-objectives.

• The Korea Journal of Herbology
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• v.23 no.2
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• pp.151-157
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• 2008

Objectives : The purpose of this study is to investigate the biological Effect of multi-herbal drug 'KOCO-P1' on mouse macrophage Raw 264.7 cells. Methods : Multi-herbal drug 'KOCO-P1' was composed of Ginseng Radix, Astragali Radix, Polygonati Rhizoma, Liriopis Tuber, and Scrophulariae Radix. Cytotoxicity and cytoprotective activity of K0C0-P1 was verificated by MTT assay. And antioxidative effect of K0C0-P1 against EtOH, Nicotine was inspected by Hydroperoxide assay. Results : K0C0-P1 showed no cytotoxicity on RAW 264.7 cells for 24, 48, 72 hours. KOCO-P1 at 200, 100, and 50 ug/mL reduced the production of H202 in Raw 264.7 cells by EtOH. KOCO-P1 at 50 ug/mL reduced the production of H202 in Raw 264.7 cells by Nicotine. Conclusions : KOCO-P1 could be supposed to have antioxidative effect on macrophage with no cytotoxicity.