• Fashion & Textile Research Journal
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• v.18 no.2
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• pp.225-234
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• 2016

An online suit-customizing system for the special accessibility needs of wheelchair users should be developed because the demand for business suits by wheelchair users involved in economic activities has increased. This study develops a user interface an online customizing system for men's suits specialized for wheelchair users. This study used a five-step approach: (1) search for online men's suits customizing system in web porter sites, (2) select three sites based on three terms, (3) heuristic testing with five web specialists, (4) development of a system user interface based on suggestions for improvement from the heuristic test, (5) usability testing of the user interface prototype by 10 disabled men in wheelchairs. The interface of Company S had high ratings on interactivity, accessibility, informativeness, and consistency in the heuristic test results; subsequently, a user interface was developed based on suggestions for improvement from the heuristic test. This online user interface for customizing men's suits provides better usability to wheelchair users than existing online interfaces aimed at the non-disabled and disabled; consequently, this study contributes to the commercialization of an online customizing system for men's suits specializing in serving wheelchair users.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2005.04a
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• pp.359-366
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• 2005

Most engineering optimization are based on numerical linear and nonlinear programming methods that require substantial gradient information and usually seek to improve the solution in the neighborhood of a starting point. These algorithm, however, reveal a limited approach to complicated real-world optimization problems. If there is more than one local optimum in the problem, the result may depend on the selection of an initial point, and the obtained optimal solution may not necessarily be the global optimum. This paper describes a new harmony search(HS) meta-heuristic algorithm-based approach for structural size optimization problems with continuous design variables. This recently developed HS algorithm is conceptualized using the musical process of searching for a perfect state of harmony. It uses a stochastic random search instead of a gradient search so that derivative information is unnecessary. Two classical space truss optimization problems are presented to demonstrate the effectiveness and robustness of the HS algorithm. The results indicate that the proposed approach is a powerful search and optimization technique that may yield better solutions to structural engineering problems than those obtained using current algorithms.

• Journal of The Korean Association For Science Education
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• v.30 no.3
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• pp.323-336
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• 2010

The purpose of this study was to evaluate students' written arguments embedded in scientific inquiry investigations using the Science Writing Heuristic (SWH) approach. Argument components defined in this study are questions, claims, questions-claims relationship, evidence, claims-evidence relationship, multiple modal representations, and reflection. A set of criteria for evaluating each argument component was developed to evaluate writing samples of students from college freshman general chemistry laboratory classes. Results indicate that students produced, on average, moderate to powerful questions, claims, and evidence. They also constructed reasonable questions-claims relationship and claims-evidence relationship. Compared to other component scores, the average score for reflection was relatively low. Overall, the average Total Argument score was 21.4 out of a possible 36, that is, the quality of the written arguments using the SWH approach during a series of inquiry-based chemistry laboratory investigations was moderate to powerful. The findings of this study suggest that students, on average, developed reasonable scientific arguments generated as part of scientific inquiry. In other words, students are capable of putting together reasonable arguments as they participate in inquiry-based laboratory classrooms.

• Journal of Korean Society for Quality Management
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• v.30 no.4
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• pp.137-153
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• 2002

Viewed as a more systematic approach of creating high quality products and bringing them into market at a lower cost and in significantly less time, it attracts the attention of quality designers to quality function deployment (QFD) approach. In attempt to reduce the design cycle, the industry has responded with concurrent design effort. In a sense, concurrent engineering refers to the integration of various activities within the broad scope of the product life cycle ［17］. Over the last ten years, much has been written about QFD but little has been available in terms of the underlying guide methodology. The methodology of QFD is quite simple and many will say that they have done it in the past but just have not formalized it into the form that this discipline requires. QFD ties the product, user, value, and manufacturing viewpoints together in a continuous process of defining the product design and manufacturing requirements. The value viewpoint recognizes the cost to obtain certain functionality, and the manufacturing viewpoint addresses conformance to requirements, but in a broader sense, the variability in production. In this paper, the QFD system acquisitions are described, and two heuristic approaches solving for the complex design process, especially the size reduction of design process and precedence-constrained relationship in QFD are proposed, and the empirical example is illustrated.

• Journal of The Korean Association For Science Education
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• v.32 no.7
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• pp.1099-1108
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• 2012

The purpose of this study was to examine the effects of argument structure on students' writing in implementation of argument-based inquiry using the Science Writing Heuristic (SWH) approach. Participants of this study were 108 8th grade students (three classes). Two classes (68 students) were assigned to an experimental group, and the other class (35 students) was assigned to a comparative group. The experimental group was taught argument-based inquiry using the Science Writing Heuristic (SWH) approach, while the comparative group was taught with the traditional teaching strategy. After implementing this program, the two groups were asked to write summaries using structured argumentation in their writing. The result of this study showed that the experimental group used better argument structure and multimodal representation such as pictures, graphs and examples in evidence than the comparative group. The quality of evidence used in the students' writing was different between two groups. Students of the comparative group only listed fragments of science concepts for evidence to support their claims, but students of the experimental group explained science concepts by giving specific examples. The findings show that argument-based inquiry using the SWH approach was effective on argument structure in students' writing.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.5
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• pp.33-49
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• 2024

In this paper, a supply chain network (SCN) model with disruption risk is proposed. Either the disruption of the facilities in each stage of the SCN or the disruption of route between them is considered as the disruption risk in the SCN model. Many conventional studies have considered facility disruption and route disruption separately. However, their disruptions can be occurred simultaneously in real world. This paper proposes the SCN model with facility disruption and route disruption simultaneously. The SCN model is represented as a nonlinear 0-1 programming and solved using a hybrid meta-heuristics approach called GA-JAYA-FLC approach. In numerical experiment, the performance of the GA-JAYA-FLC approach is compared with those of some conventional single and hybrid meta-heuristic approaches using a multi-stage SCN model. Experimental result shows that the GA-JAYA-FLC approach outperforms some conventional single and hybrid meta-heuristic approaches.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.11 no.4
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• pp.217-222
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• 2011

Genetic algorithms are one of the most important methods used to solve the Traveling Salesman Problem. Therefore, many researchers have tried to improve the Genetic Algorithm by using different methods and operations in order to find the optimal solution within reasonable time. This paper intends to find a new approach that adopts an improved genetic algorithm to solve the Traveling Salesman Problem, and compare with the well known heuristic method, namely, Kohonen Self-Organizing Map by using different data sets of symmetric TSP from TSPLIB. In order to improve the search process for the optimal solution, the proposed approach consists of three strategies: two separate tour segments sets, the improved crossover operator, and the improved mutation operator. The two separate tour segments sets are construction heuristic which produces tour of the first generation with low cost. The improved crossover operator finds the candidate fine tour segments in parents and preserves them for descendants. The mutation operator is an operator which can optimize a chromosome with mutation successfully by altering the mutation probability dynamically. The two improved operators can be used to avoid the premature convergence. Simulation experiments are executed to investigate the quality of the solution and convergence speed by using a representative set of test problems taken from TSPLIB. The results of a comparison between the new approach using the improved genetic algorithm and the Kohonen Self-Organizing Map show that the new approach yields better results for problems up to 200 cities.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10b
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• pp.1576-1579
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• 1991

This paper discusses on the machine loading and tool allocation (MLTA) problem. Mathematical formulation of the problem is given first. Then a heuristic approach based on Group Technology (GT) is presented to deal with the MLTA problem effectively. By using this approach, part-tool group generation and their assignment to adequate machines can easily be obtained in consideration of the work load on each machine, the number of tool-set replacement, and the total number of cutting tools required through the interactive setting of the desired machine utilization rate.

• Journal of Korean Institute of Industrial Engineers
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• v.15 no.2
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• pp.109-116
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• 1989

In many cases, production-inventory systems involves significant demand variations. Actual demand is probabilistic and the production capacity is also limited. Finding the proper production lot sizes to this problem usually requires heavy computational procedures. Therefore a heuristic approach were under various assumptions is highly recommended. In this paper, an approach with consideration of probabilistic demand and limited production capacity is proposed.

• Proceedings of the Safety Management and Science Conference
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• 2000.05a
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• pp.207-215
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• 2000

This study deals with the application of knowledge-engineering and a methodology for the assessment & measurement of reliability, availability, maintainability, and safety of industrial systems using fault-tree representation. A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach(insufficient information concerning the relative frequences of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations. The purpose of this Is to describe the knowlwdge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.