• Journal of Korean Society of Industrial and Systems Engineering
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• v.6 no.9
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• pp.111-124
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• 1983

The basic model of decision problem the enterprise is conforonted with includes the following 3 elements ; 1) Elements that can not be controlled by the decision maker : In the thesis elements are named environmental variables, and varied itself according to the change of environmental condition. 2) Elements that can be controlled by the decision maker ; These elements are called decision elements in the thesis and variable according to the event. 3) object of decision making : The degree of achievement to the object is identified by taking various criteria- The index indicating the degree of achievement to the object whatever criterion is applied is called object function in the thesis. It's the fanetion of environmental variable, decision variable and object function. The relation between them brings forth the relation formula that characterize the each problem. The basic types of decision making model use in the thesis are as following ; 1) The problem of decision making under conditions of certainty. 2) The problem of decision making under conditions of risk. 3) The problem of decision making under conditions of uncertainty. 4) The problem of decision making under competitive condition. in general case that the Profit of two decision makers varies, what we regard the decision that make the sum of profit of two men maximum as the best choice for two men has a reasonability in certain case. When the sum of profit two men is zero, by taking toe promise that ail of them art according to the min-max criteria and by extending the object of choice to the mixed strategy. We certify the existance of equilibrium solution and admit them as the best solution of competitive model in general.

• Journal of Korean Elementary Science Education
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• v.37 no.4
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• pp.339-351
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• 2018

The purpose of this study is to examine the effect of cooperative making problems and solving problems for formative assessment at finish stage on science academic achievement and scientific attitude. This study is conducted in 51 sixth-graders of two classes. The experimental group was provided with a teaching-learning course based on cooperative making problem and solving problem at finish stage. And the control group was provided with general classes based on the contents in teacher's guidebooks. The experiment was performed with the second and third units of the sixth grade, for about two month and obtained the following results: First, students prefer to make supply-type items than multiple choices. And by the Bloom's revised taxonomy of educational objectives, students prefer to make the problem types of 'Factual Knowledge' and 'Conceptual Knowledge'. Also students prefer to make the problem types of 'Understanding' and 'Applying'. Second, cooperative problem making and solving problems at finish stage has same effect on academic achievement in comparison to teacher-driven activity. Third, the experimental group made statistically significant difference in self-efficiency, contrary to the general science classes. Especially, it turned out that a meaningful effect was discovered to a cooperativity, openness. Finally, it turned out that many students thought cooperative making problem and solving problem at finish stage gave the help approving their cooperativity and openness at the investigation of awareness.

• Korean Journal of Child Studies
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• v.21 no.1
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• pp.3-17
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• 2000

This study investigated the effects of autonomous rule-making and rule-keeping activities on young children's interpersonal cognitive problem solving. The 20 five-year-old children in the experimental group participated in 6-step activities for autonomous rule-making and rule-keeping. The interpersonal cognitive problem solving Test was used to measure children's interpersonal cognitive problem solving thinking. The results of the ANCOVA revealed a significant difference between experimental and control groups in children's interpersonal cognitive problem solving thinking but not in alternative solution thinking.

• Communications of Mathematical Education
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• v.22 no.4
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• pp.489-503
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• 2008

It is not an easy matter to develop problems which help students understand mathematical concepts correctly and precisely. The aim of this paper is to review the merits and demerits of three problem types (i.e. one answer problems, multiple choice problems and proof problems) and to suggest some points that should be taken into consideration in problem making. First, we presented the merits and demerits of three types of problems by examining actual examples. Second, we discussed some examples of misleading problems and the ways to make desirable ones. Finally, on the basis of our examination and discussion, we suggested some points that should be kept in mind in problem making. The major suggestions are as follows; i) In making one answer problems, we should consider the possibility of sitting a solution by wrong precesses, ii) In formulating multiple choice tests which are layered for their easiness of grading, we should take into account the importance of checking whether the students are fully understanding the concepts, iii) We may depend on the previous research result that multiple choice tests for proof problems can be helpful for the students who have insufficient math background. Besides those suggestions, we made an overall proposal that we should endeavor to find ways to implement the demerits of each problem type and to develop instructive problems that can help students understanding of math.

• Asia pacific journal of information systems
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• v.14 no.2
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• pp.37-59
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• 2004

Team decision making is a collective behavior that needs to be understood by considering properties belonging to team and individual member domains together. This paper introduces a conceptual model called "Dual-Level(DL)" model that describes a team decision-making process in terms of team level, member level, and the relationship between them. The team-level view explains the decision-making process by considering the team as a wholeand divides the process into three stages: Problem Conceptualization, Alternative Generation, and Selection. The member-level view describes what happens to individual members when they go through the group process and splits it into the five phases: Individual Cognitive Mapping, Problem Decomposition, Subproblem Session, Subproblem Integration, and Team Decision. The DL model works as a theoretical framework to explore team decision making by using a set of computational models of team design and team members. In practice, the conceptual framework is used to build a computational model of decision making team, called "Team-Soar."

• Journal of Korean Home Economics Education Association
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• v.12 no.2
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• pp.107-122
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• 2000

The purposes of this study were to investigate the decision making process & preference for imported products and to suggest the systematic education programs for adolescent consumers. The data for this research were attained from 426 middle & high school students in Pohang. The data were analyzed by frequency distribution. mean standard deviation analysis of variance t-test, χ(sup)2-test and Pearson’s correlation with SAS program. The results of this study were as follows: 1. preference for imported products was significantly different according to sex, amount of pocket money, region. T.V advertising, friends and the attitude of their mothers. 2. Decision making process was composed of 4 dimensions in this study; information sources criteria for products problem experience of consumption and type of problem solving. In case of information sources there was a signifiant difference according to sex. grade level of parents’education. Criteria for products were significantly different according to sex grade. level of father’s education type of father’s job amount of pocket money and how they gained their pocket money. Consumption problem experience & type of problem solving were significantly different according to sex and grade. 3. Preference for imported products was significantly different according to criteria for products and consumption problem experience out of adecision making process.

• Journal of Families and Better Life
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• v.27 no.5
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• pp.69-76
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• 2009

This study aimed to develop cognitive-behavioral group counseling program for social problem-solving and career decision-making self-efficacy in incoming university freshman and to examine its efficacy through pre- and post-test. The program included cognitive restructuring, problem-solving and social skill training. The program consisted of 12 weekly sessions, approximately 1.5~2 hours in duration. Pre- and post-tests were administered to both a treatment group(n=48) and a control group(n=48). The collected data were statistically analyzed through ANCOVA. The main results of the study were as follows : The students in the treatment group showed a significant increase in both social problem-solving and career decision-making self-efficacy in comparison with those in the control group.

• Industrial Engineering and Management Systems
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• v.15 no.2
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• pp.156-172
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• 2016

Complex and uncertain issues in supply chain result in integrated decision making processes in supply chains. So decentralized (distributed) decision making (DDM) approach is considered as a crucial stage in supply chain planning. In this paper, an uncertain DDM through coordination mechanism is addressed for a multi-product supply chain planning problem. The main concern of this study is comparison of DDM approach with centralized decision making (CDM) approach while some parameters of decision making are assumed to be uncertain. The uncertain DDM problem is modeled through fuzzy mathematical programming in which products' demands are assumed to be uncertain and modeled using fuzzy sets. Moreover, a CDM approach is customized and developed in presence of fuzzy parameters. Both approaches are solved using three fuzzy mathematical optimization methods. Hence, the contribution of this paper can be summarized as follows: 1) proposing a DDM approach for a multi-product supply chain planning problem; 2) Introducing a coordination mechanism in the proposed DDM approach in order to utilize the benefits of a CDM approach while using DDM approach; 3) Modeling the aforementioned problem through fuzzy mathematical programming; 4) Comparing the performance of proposed DDM and a customized uncertain CDM approach on multi-product supply chain planning; 5) Applying three fuzzy mathematical optimization methods in order to address and compare the performance of both DDM and CDM approaches. The results of these fuzzy optimization methods are compared. Computational results illustrate that the proposed DDM approach closely approximates the optimal solutions generated by the CDM approach while the manufacturer's and retailers' decisions are optimized through a coordination mechanism making lasting relationship.

• Industrial Engineering and Management Systems
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• v.4 no.1
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• pp.82-93
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• 2005

Facility layout problems (FLP) are usually treated as design problems. Lack of systematic and objective tools to compare design alternatives results in decision-making to be dominated by the experiences or preferences of designers or managers. To increase objectivity and effectiveness of decision-making in facility layout selections, a decision support model is necessary. We proposed a decision model, which regards the FLP as a multi-attribute decision making (MADM) problem. We identify sets of attributes crucial to layout selections, quantitative indices for attributes, and methods of ranking alternatives. For a requested facility layout design, many alternatives could be developed. The enormous alternatives, various attributes, and comparison of assigned qualitative values to each attribute, form a complicated decision problem. To treat facility layout selection problems as a MADM problem, we used the linear assignment method to rank before selecting those high ranks as candidates. We modelled the application of the Nemawashi process to simulate the group decision-making procedure and help efficiently achieve agreement. The electronics manufacturing service (EMS) industry has frequent and costly facility layout modifications. Our models are helpful to them. We use an electronics manufacturing service company to illustrate the decision-making process of our models.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.15 no.26
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• pp.13-19
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• 1992

MODM(multiobjective decision-making)problem is very complex system for the analysist and decision maker. Therefore, it requires suitable MODM method to solve multiobjective decision-making problem. This paper presents an interactive fuzzy decision making method for solving multiobjective nonlinear programming problems with fuzzy goals and $\alpha$-cut set of fuzzy numbers. In our interactive method, if the decision maker specifies the degree $\alpha$of the objective value and the imprecise goals, λ-mux problem is solved. To examplify the proposed method, an interactive computer programming written in FORTRAN and an illustrate numerical example along with computer outputs are presented.