• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.3
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• pp.27-37
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• 2021

Highly informative heuristics in AI planning can help to a more efficient search a solutions. However, in general, to obtain informative heuristics from planning problem specifications requires a lot of computational effort. To address this problem, we propose a Partial Planning Graph(PPG) and Mixed Heuristics for solving planning problems more efficiently. The PPG is an improved graph to be applied to can find a partial heuristic value for each goal condition from the relaxed planning graph which is a means to get heuristics to solve planning problems. Mixed Heuristics using PPG requires size of each graph is relatively small and less computational effort as a partial plan generated for each goal condition compared to the existing planning graph. Mixed Heuristics using PPG can find partial interactions for each goal conditions in an effective way, then consider them in order to estimate the goal state heuristics. Therefore Mixed Heuristics can not only find interactions for each goal conditions more less computational effort, but also have high accuracy of heuristics than the existing max and additive heuristics. In this paper, we present the PPG and the algorithm for computing Mixed Heuristics, and then explain analysis to accuracy and the efficiency of the Mixed Heuristics.

• Journal of the Korean Home Economics Association
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• v.35 no.6
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• pp.157-171
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• 1997

The purpose of this study was (1) to assess the level of financial management and financial goal attainment on housing purchase and children's educational expenditure, (2) to identify individual, family and environment variables which influence financial goal attainment, and (3) to investigate causal relation of variables which affect financial goal attainment. Data were collected from questionnaire with 772 married women who were residents of Jeonju. The major finding were as follows; (1) The levels of financial management and financial goal attainment on housing purchase and children's educational expenditure were middle. (2) The variables which exerted direct effects on financial goal attainment on housing purchase were time orientation of consumption life, asset, income stability, easiness in extending credit, financial planning, and financial implementing. the most powerful predictor of financial goal attainment on housing purchase was asset. (30 The variables which exerted direct effects on financial goal attainment on children's educational expenditure were time orientation of consumption life, asset, children's presence on the camp8us, easiness I extending credit, financial planning, and financial implementing. The most powerful predictor of financial goal attainment on children's educational expenditure was financial planning.

• Journal of the military operations research society of Korea
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• v.7 no.2
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• pp.63-99
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• 1981

The generalized goal decomposition model proposed by Ruefli as a single period decision model is presented for the purpose of a review and extended to make a multiple period planning model. The multiple period planning model in the three level organization is formulated with, linear goal deviations by introducing the goal programming method. Dynamic formulation using the generalized goal decomposition model for each single period problem is also presented. An iterative search algorithm is presented as an appropriate solution method of the dynamic formulation of the multiple period planning model.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.2
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• pp.27-34
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• 2017

Highly informative admissible heuristics can help to conduct more efficient search for optimal solutions. However, in general, more informative ones of heuristics from planning problems requires lots of computational effort. To address this problem, we propose an Delete Relaxation based Action Costs-based Planning Graph(ACPG) and Action Costs-based Heuristics for solving optimal planning problems more efficiently. The ACPG is an extended one to be applied to can find action costs between subgoal & goal conditions from the Relaxed Planning Graph(RPG) which is a common means to get heuristics for solving the planning problems, Action Costs-based Heuristics utilizing ACPG can find action costs difference between subgoal & goal conditions in an effective way, and then consider them to estimate the goal distance. In this paper, we present the heuristics algorithm to compute Action Costs-based Heuristics, and then explain experimental analysis to investigate the efficiency and the accuracy of the Action Costs-based Heuristics.

• Management & Information Systems Review
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• v.32 no.2
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• pp.1-19
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• 2013

The purpose of this study is to provide the model for goal planning system and explore the affecting factors in suitability of goal planning system and possibility of goal attainment. The findings in a factor analysis of the sample of Korean firms indicate that the factors suggested by theories and previous studies can be summarized to 40 implications and then 7 groups including attachment of top managers, systemicity, participation system, motivation, alignment of top-down & bottom-up. adjustment for environmental changes, goal content. In addition, the findings in multiple regression analyses show that goal content, alignment of top-down & bottom-up, and adjustment for environmental changes are positively, significantly influence the recognition level of employees on the suitability of goal planning system. On the other hand, goal content, attachment of top managers, and motivation are significantly influence the recognition level of employees on the possibility of goal attainment. This study provides the checklist for the suitability of goal planning system and various implications for practitioners.

• Journal of Family Resource Management and Policy Review
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• v.17 no.4
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• pp.1-17
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• 2013

The purpose of this study was to explore the effects of socio-demographic variables on time management and to investigate the effects of time management on self-efficacy and academic achievement in college students. The data were collected from 382 college students through questionnaire surveys and analyzed using frequency, percentile, and regression analysis with the SPSS program. College students' time management behavior was influenced by the social status of their families and by their participation in time management education. There were differences in variables affecting time management according to its sub-areas (planning, regular habits, and goal-oriented behavior). Planning was influenced by the students' majors and by their participation in time management education. Regular habits were influenced by the students' genders and their families' social status. No variables affected goal-oriented behavior. Time management (especially planning and goal-oriented behavior) and gender had strong effects on self-efficacy, and male students showed more self-efficacious behavior than their female counterparts. Time management (especially planning and regular habits) and gender had strong effects on academic achievement, and female students received higher academic grades than their male counterparts. Based on these results, time management was confirmed as an influential element in self-efficacy and academic achievement. Planning and goal-oriented behavior particularly influenced self-efficacy, and planning and regular habits particularly influenced academic achievement.

• Journal of Families and Better Life
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• v.10 no.1 s.19
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• pp.191-205
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• 1992

The purpose of this study was to investigate the planning styles and the differences of the level of planning styles according to individuals, family related variables and perceived adequacy of resources. The subjects of the study were 560 wives living in seoul and Daejeon. Survey methods were questionnaire. Data analysis strategies were percentile, frequency, Pearson's correlation, factor analysis, oneway analysis and multiple classification analysis. The major findings were as follows : 1) Planning styles were categorized into three factors. They were labeled resource-centered, goal-centered, constrained planning style. 2) wives tended to more frequently use a goal-centered planning style. 3) The perceived adequacy of health resource, the perceived adequacy of inter-personnal resource and occupation of husband were significant predictors of the level of resource-centered planning style. 4) The perceived adequacy of money resource was significant predictors of the level of constrained planning style. 5) The perceived adequacy of money resource and the age of youngest child were significant predictors of the level of goal-centered planning style.

• Journal of the Korean Society for Library and Information Science
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• v.28
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• pp.3-21
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• 1995

The library as nonprofit organization is required to have micro-planning for the organization itself and macro-planning for the relationship of the organization and its environment. Both the micro and macro planning are rational and effective means to library objectives. The library planning must be based on clearly formulated objectives that will encourage all parts of the organization to work toward the same goal and mission. The planning to library objectives should make programming. which should make processing. The mission here should precede goal. which should precede objectives and objectives should precede activities in planning. There is an integral relationship among them. Just as the objectives of the library may be thought of in a hierarchy such as the above. so the library planning must be based on such a hierarchy from strategic or long range planning to administrative planning, from administrative planning to operational planning or short range ones.

• Journal of Korean Society of Rural Planning
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• v.3 no.1
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• pp.54-67
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• 1997

Korean societies have been experiencing the wholesale structural changes in the rapid currents of recent openness, globalization and democratization, which effect much more heavily in rural areas than in urban areas, so rural recomposition works being an important national concern. In order to systematically reconstruct the rural structure, the decision makers, with a four step hierarchy of rural resident-residents group-community-region, should be endowed with the objective judgement on basic elements of resource potentialities under their control. In this process. rational resource evaluation works would be firstly necessiated from expert groups. Based on the view mentioned above, this study principally aimed at developing a rational evaluation framework for rural resources. For that objective, the first step of the study pigeonholed the total resources items identifiable in rural areas from the existing study results, spatial planning and field surveying data. After then, using the formalized classification criteria of resources items, a tentative goal system for rural resources evaluation was proposed and the final one determined through expert-group checking. The results obtained during the study are summarized as follows ; 1. Using the existing examples of resources identification/classification and the basic data list for county-level development planning as the principal reference ones, total rural resources elements were classified into 3 constituent units : land, natural environment and human resources, which correspond to places to work, to play and to live, respectively, as 3 constituent ones of life-supporting space. 2. Three characteristic areal types were adopted to represent the total rural areas : lowland, upland and seashore areas, and also 3 practical use types to represent the objectives of resources evaluation systems : for land use planning, natural conservation policy and village improvement planning. Thus 9 different types of goal system for resources evaluation were developed(each system by 3 areal typesX3 practical use types) 3. Each goal system has 3-tier classification steps from the higher, middle and lower one. The higher and middle steps should contain equally applicable components to all the rural areas, of which allowable number being around 3 and 4 respectively. However the lower step would contain detailed sub-components changeable to areal characteristics of which allowable number being around 7.

• Journal of the Korean Operations Research and Management Science Society
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• v.34 no.2
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• pp.77-90
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• 2009

Total profit level Increases if a company increase the cost for achieving R&D related goals of equipment productivity enhancement, production cost saving, or for achieving equipment scale target, sales volume goal. But how much money should be invested to achieve a certain level of profit? We formulated the model to set the optimal goal levels to minimize the investment cost under the constraint that certain level of total profit should be guaranteed. This model derived from a case of P steel company. We found that this should be considered in relation with the production sales planning (known as optimal product mix problem) to guarantee the profit. We suggested a nonlinear programming model, 3 valiant form of the p+roduct mix problem. We can find the optimal Investment level for the R&D related goals or sales volume goal, equipment scale target for the P steel company using the model.