• Proceedings of the Korea Society for Simulation Conference
• /
• 2000.04a
• /
• pp.57-66
• /
• 2000

Production-distribution planning is the most important part in supply chain management (SCM). To solve this planning problem, either analytic or simulation approach has been developed. However these two approaches have their own demerits in problem solving. In this paper, we propose a hybrid approach which is a specific problem solving procedure combining analytic and simulation method to solve production-distribution problems in supply chain. The machine capacity and distribution capacity constraints in the analytic model are considered as stochastic factors and adjusted by the proposed specific process according to the results from independently developed simulation model which includes general production-distribution characteristics.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 1999.10a
• /
• pp.281-289
• /
• 1999

The objective of this paper is to propose a brand new interface mechanism to provide more intelligent decision making support for EC problems. Its main virtue is based on a numerical process mechanism by using an Extended AND-OR Graph (EAOG)-based logic algebra. Using this mechanism, decision makers engaged in electronic commerce (EC) can effectively deal with complicated decision making problems. In the field of traditional expert systems research, AND-OR Graph approach has been suggested as a useful tool for representing the logic flowchart of the forward and/or backward chaining inference methods. However, the AND-OR Graph approach cannot be effectively used in the EC problems in which real-time problem-solving property should be highly required. In this sense, we propose the EAOG inference mechanism for EC problem-solving in which heurisric knowledge necessary for intelligent EC problem-solving can be represented in a form of matrix. Finally, we have proved the validity of our approach with several propositions and an illustrative EC example

• Korean Journal of Childcare and Education
• /
• v.20 no.3
• /
• pp.125-147
• /
• 2024

Objective: This study aims to implement an ecological transition education program for young children, based on a project approach, to investigate its effectiveness in enhancing sustainable development awareness, ecological literacy, and problem-solving skills. Methods: In this study, 56 five-year-old children from a preschool in S City were assigned to either a quasi-experimental group or a control group, with 28 children in each group. The project-based ecological transition education program for young children was conducted from July 14 to September 15, 2023. The experimental group explored the themes of 'marine life' and 'pets and animal welfare,' while the control group focused on different topics. The research employed independent sample t-tests and analysis of covariance (ANCOVA) for data analysis. Results: The project-based ecological transition education program effectively enhanced young children's awareness of sustainable development, ecological literacy, and problem-solving skills. Conclusion/Implications: This study is significant in developing an integrated, project-based ecological transition education program within a play-centered curriculum. It demonstrates how sustainable values can be effectively incorporated into play. Furthermore, the findings can serve as foundational data for implementing educational and childcare programs that nurture young children to become ecological citizens, leading sustainable futures.

• Korean Journal of Clinical Pharmacy
• /
• v.34 no.3
• /
• pp.175-183
• /
• 2024

Background: The evolving healthcare environment necessitates changes in pharmacy education to meet these demands, with problem-based learning (PBL) being a promising approach. Methods: This study employed a single-group, repeated-measures design to evaluate the effects of PBL on the communication and problem-solving skills of fifth-year pharmacy students at S University. The course, which focused on pharmacy practice and communication, included 36 students who participated in structured pre- and post-intervention surveys, as well as self-reflection journals. The primary competencies assessed were problem-solving and communication skills. Data collection involved quantitative measures through surveys and qualitative insights from self-reflection notes. Results: Of the 36 students, 35 completed the pre-intervention surveys, and 27 completed the post-intervention assessments. Significant improvements were observed in problem-solving skills, including problem identification, information gathering, and planning. Communication skills showed overall improvement, though the differences were not statistically significant. Qualitative analysis of self-reflection notes revealed enhanced understanding of elderly patient care, increased responsibility, teamwork, and the importance of effective communication in pharmacy practice. Commonly identified themes included a heightened sense of responsibility, the importance of teamwork, and an appreciation for the multifaceted nature of pharmacy practice in elderly care. Conclusion: The PBL approach effectively enhanced students' problem-solving abilities and provided valuable experiential learning in pharmacy practice. The qualitative data indicated that students gained a deeper understanding of their roles and responsibilities, fostering greater motivation and teamwork. Further research should focus on broader applications across different institutions to validate these findings.

• Journal of Distribution Science
• /
• v.22 no.2
• /
• pp.71-82
• /
• 2024

Purpose: Despite significant research on decision-making, researchers struggle to comprehend the decision-making process. This paper aims to not only examine the relationship between problem-solving skills, cognitive competency, and decision-making but also develop measurement instruments for cognitive competency and problem-solving skills to better model decision-making. Research Design, Methodology and Approach: A cross-sectional study was conducted by surveying 292 university students in HCM City, Vietnam, via email sent randomly by Google Forms. This study identifies the conceptual framework and tests the hypotheses using a deductive approach. The SPSS program was used to evaluate the scales' reliability, and the SmartPLS program was used to assess the measurement and structural models. Results: The results show that the research model better modelled the relationship between problem-solving skills, cognitive competency, and decision-making. Although thinking ability has no direct impact on decision-making, both creativity and problem-solving skills have a positive impact on decision-making. The mediating role of problem-solving skills is also determined by the positive relationship between cognitive competency and decision-making. Conclusions: This study highlights decision-making efficiency through the cognitive process from low to high levels and provides for policymakers and managers to explain the decision-making process in a variety of sectors, such as distribution chains, marketing, and human resource distribution.

• Hwankyungkyoyuk
• /
• v.20 no.1
• /
• pp.118-130
• /
• 2007

This article investigated the effects of students' knowledge, beliefs, and attitudes about environment on environmental issue-based environmental problem solving in secondary school students. This article also investigated whether these factors are related to the environmental problem solving. Therefore, we first developed the test instruments to measure secondary school students' environmental knowledge, environmental beliefs, and environmental attitudes. Then, we developed the environmental issue-based teaching materials for secondary school students. The subjects participated in a environmental issue-based approach that consist of 3 lesson over an three weeks period. The results of this study presents that environmental knowledge and environmental beliefs are effective for the environmental problem solving in middle school environment class. First, secondary school students knew well ecological knowledge about environmental problem, and was entertaining most ecological beliefs. Second, secondary school students were having attitude which is most pro-environmental behaviors. Third, secondary school students are referring necessity of development partially about environment point at issue of country level. But, they were retaining situation of preservation about environment point at issue of area level. It's not easy to generalize these results because of many different variables, but the results suggests that teachers should make an effort to improve student's environmental problem solving ability applying environmental issue-based learning. And it's necessary to develop many kinds of environmental issues and teacher's instruction method to enrich problem solving ability in the process of environmental issue-based learning.

• Journal of Digital Convergence
• /
• v.13 no.1
• /
• pp.227-235
• /
• 2015

Big data analysis is a means of organizational problem solving. For an effective problem solving, approaches to problem solving should take into account the factors such as characteristics of problem, types and availability of data, data analytic capability, and technical capability. In this article we propose three approaches: logical top-down, data driven bottom-up, and prototyping for overcoming undefined problem circumstances. In particular we look into the relationship of creative problem solving with the bottom-up approach. Based on the organizational data governance and data analytic capability, we also derive strategic issues concerning the sourcing of big data analysis.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2003.11a
• /
• pp.201-204
• /
• 2003

A hybrid artificial intelligence approach based on combining case based reasoning and neural networks is presented. The approach is designed to allow for solving blowing control of BOF(basic oxygen furnace), example of which lie at the core of steelmaking process control systems application in the steel industry. According to this hybrid approach, the system, when faced with a new problem, first retrieves similar cases and neural network is used to solve the problem. Experimental Results indicate that combining case based reasoning and neural network offers an efficient approach to solving control and prediction problem

• Educational Technology International
• /
• v.20 no.1
• /
• pp.83-107
• /
• 2019

The aim of this study is to provide the values and descriptive implications of the Design Thinking (DT) method into the context of educational problems of practice in an undergraduate course. To achieve the research objective, both quantitative and qualitative studies were conducted. For the qualitative study, the student's productions and reflections on the experience of the application of the DT into educational problems were analyzed. For the quantitative research, one-group pre and post-test were designed to validate the effectiveness of the DT method into educational contexts in terms of creativity level to measure the student's Creativity Potential and Practiced Creativity, Academic Self-Efficacy Scale, and Problem-Solving Inventory. This study validated that the DT method had a statistically significant influence on those three competencies and also illustrated the detailed process from a qualitative viewpoint. The results and implications reflect the potential of the DT approach with the educational problem of practice, especially, in the ill-structured problem-solving contexts for student-centered instructional setting.

• Journal of applied mathematics & informatics
• /
• v.30 no.5_6
• /
• pp.719-728
• /
• 2012

In this paper, we develop a numerical method to solving an optimal control problem, which is governed by a parabolic partial differential equations(PDEs). Our approach is to approximate the PDE problem to initial value problem(IVP) in $\mathbb{R}$. Then, the homogeneous part of IVP is solved using semigroup theory. In the next step, the convergence of this approach is verified by properties of one-parameter semigroup theory. In the rest of paper, the original optimal control problem is solved by utilizing the solution of homogeneous part. Finally one numerical example is given.