• International Journal of Quality Innovation
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• v.6 no.1
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• pp.43-57
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• 2005

Action learning motivates students to solve open-ended problems by 'developing skills through doing'. This paper reviews the concept of action learning and discusses the adoption of action learning approach to teach operations management at universities. It presents the design and delivery of an action-learning course at City University of Hong Kong. The course incorporates classroom lectures, tutorials and an action-learning workshop. The experience gained proves that action learning facilitates student participation and teamwork and provides a venue of accelerating learning where enables students to handle dynamic problem situations more effectively. The paper concludes that adopting action-learning approach can help lecturers to enhance quality teaching in operations management courses, and provide an alternate means of effective paradigm other than traditional classroom teaching and/or computer-based training at universities.

• International Journal of Precision Engineering and Manufacturing
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• v.8 no.1
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• pp.46-51
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• 2007

Environmental contamination creates shortages of potable water. In such situations, the leakage of water due to breakage or aging of rubber valve seats is a serious problem. Rubber is apt to break when it is placed between two materials that contact each other. One way to avoid water leakage due to rubber damage and breakdown is to replace the rubber with metal, which is currently taking place in water distribution systems. In tribology, a severe form of wear is characterized by local macroscopic material transfer or removal, or by problems with sliding protrusions when two solid surfaces experience relative sliding under load. One of the major problems when metal slides is the occurrence of galling. Experimentally, various conditions influence incipient galling, such as hardness, surface roughness, temperature, load, velocity, and the external environment. This study sought to verify the galling tendencies of metal according to its hardness, surface roughness, load, and sliding velocity, and determine the quantitative effect of each factor on the galling tendencies.

• Communications for Statistical Applications and Methods
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• v.20 no.2
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• pp.97-105
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• 2013

Stratification (among other applications) is a popular technique used in survey practice to improve the accuracy of estimators. Its full potential benefit can be gained by the effective use of auxiliary variables in stratification related to survey variables. This paper focuses on the problem of stratum formation when multiple stratification variables are available. We first review a variance reduction strategy in the case of univariate stratification. We then discuss its use for multivariate situations in convenient and efficient ways using three methods: compromised measures of size, principal components analysis and a K-means clustering algorithm. We also consider three types of compromising factors to data when using these three methods. Finally, we compare their efficiency using data from MU281 Swedish municipality population.

• Journal of Korean Institute of Industrial Engineers
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• v.25 no.3
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• pp.336-341
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• 1999

The problem of jointly determining the optimum process mean and screening limits for each market is considered in situations where there are several markets with different price/cost structures. The quality characteristic is assumed to be a normal distribution with unknown mean and known variance. A quadratic loss function is utilized for developing the economic model. Methods of finding the optimum process mean and screening limits are presented and a numerical example is given.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.6
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• pp.1104-1109
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• 2001

In this paper, we describe a method for real-time transmitting video streams based on RTP. In order to guarantee synchronous video streams, we propose a method to grasp network situations by analyzing end-to-end network traffic. In addition, we present an algorithm for satisfying QoS requirements of real-time multimedia transmission and maintaining continuity of transmission. It describes a buffering method for overcoming bandwidth limitations and an analyzing method based on RTCP for grasping network traffic situation to resolve the problem of real-time transmission of video streams.

• Proceedings of the Korea Concrete Institute Conference
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• 2002.05a
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• pp.545-550
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• 2002

Concrete is one of the essential structural materials in the construction. But, concrete consists of many materials and is affected by many factors such as properties of materials, site environmental situations, and skill of constructor. Therefore, concrete mixes depend on experiences of experts. However, it is more and more difficult to determine concrete mixes design by empirical means because more ingredients like mineral and chemical admixtures are included. Artificial Neural Networks(ANN) are a mimic models of human brain to solve a complex nonlinear problem. They are powerful pattern recognizers and classifiers, also their computing abilities have been proven in the fields of prediction, estimation and pattern recognition. Here, among them, the back propagation network and radial basis function network are used. Compositions of high-performance concrete mixes are eight components(water, cement, fine aggregate, coarse aggregate, fly ash, silica fume, superplasticizer and air-entrainer). Compressive strength and slump are measured. The results show that neural networks are proper tools to minimize the uncertainties of the design of concrete mixtures.

• Korean Institute of Interior Design Journal
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• v.18 no.5
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• pp.31-39
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• 2009

Today, 'Emotion' has come to stay as a powerful culture code. Though there has been not a few research results based on the recognition of the importance of emotion, the concept of 'Emotion' still differs according not only to researchers but also to the fields. There firstly lies the aim of this study to research the moaning and feature of 'Emotion' through John Dewey's Theory of Experience. Secondly, this study tries to categorize the strata of emotion in space, and further tries to present the methodology for the study of emotion shown in the space. Emotion is the impulse corresponding to the root force drawing out indefinite situations into the context of the problem, and is also the force which integrates all the elements in the process of reflective correlation. Emotion can be referred to as the activating and combining force which makes it possible for the separate elements to be related to the whole as one, and as the feature forming the completion of the transaction between organisms and environment.

• IE interfaces
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• v.16 no.4
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• pp.441-449
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• 2003

In this paper we propose a distribution planning method aiming the use in the real-life situations. The assumed form of the distribution network is arborescence. At every node in the distribution network, orders are placed periodically. At each renewal of planning horizon, demand informations of periods in the horizon are updated. The objective of the problem is to minimize the total cost, which is the sum of holding and backorder costs of all sites during planning horizon. For such a situation, this study addressed an effective distribution plan when demands for demand-sites are provided for a given planning horizon.

• Journal of Korea Multimedia Society
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• v.23 no.5
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• pp.667-672
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• 2020

Defense M&S (Modeling&Simulation) is a tool that creates a virtual battle situation similar to the real world, measuring and evaluating the effects of war or combat elements. However, it is very challenging to consider all the possible outcomes on the battlefield. To solve this problem, we propose a battlefield ontology, which conceptualizes the data of battlefield situation with tactical considerations. The proposed battlefield ontology is evaluated based on various communication posts in war game scenarios. The battlefield ontology is expected to assist the process of quick and accurate command decisions in convoluted battlefield situations.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.90-96
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• 2007

In multi-location inventory systems, lost sales due to stockout decreases not only retailers' profit but also whole supply chain's profit. Transshipment between retailers has been considered to be a major solution to the stockout problem, and many supply chains implement transshipment coalition among retailers. However, in practical situations, retailers occasionally refuses to accept the transshipment requests, mainly because they concern the future stockout possibilities of their own. Thus, the objective of this research is to analyze the effect of retailers' interaction under the transshipment coalition environment based on the simulations, and to provide effective policies to promote retailers' transshipment cooperation. Policies using penalty and incentive scheme are proposed, and it is shown that using proposed policies both the retailers' and the headquarter's profit can be increased.