• Journal of the Korean Society of Environmental Restoration Technology
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• v.5 no.5
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• pp.45-57
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• 2002

This study aims to suggest the applied zoning system for preventing reckless developments due to individual industrial facility construction. According to the types of reckless developments which has been found in Hwasung, the applied zoning system including 4 kinds of districts can be proposed. Collective Inducement District can be designated to where many industrial facilities have already existed with poor infrastructure, and the other districts such as Residential Area Protection District, Reservoir-Around and Agricultural Area Protection District, or Landscape Protection District may be designated to the sites where reckless developments due to individual industrial facility construction may happen. This zoning system seems to be used as a guideline of new zoning of revised NLUPL(National Land Use and Plan Law) after the execution.

• Korean Institute of Interior Design Journal
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• v.26 no.6
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• pp.145-154
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• 2017

Industrial paradigm change and awareness change based on development of transportation and communication technology, many idle facilities had been occurred. These idle facilities become the factor which hinder image and environment of the surroundings. In recent years, social, cultural and economic value of idle facilities has been acknowledged and is regarded as an object of rehabilitation as part of urban problem solving. The purpose of this study is to analyze the characteristics of recycling design in the exhibition space used as a domestic idle facility and to utilize it as a basic data for creating an exhibition space using idle facilities in the future. The scope of the study was selected from 8 cases which were reproduced as exhibition space within the last 10 years mainly in Seoul and metropolitan area. It is analyzed by five characteristics of historicity, symbolism, preservability, connectivity, and placeness that are analyzed by the characteristics of rehabilitaion design. The conclusion is as follows. First, idle facilities can be divided into idle industrial facilities and idle non - industrial facilities. Second, the analysis of the characteristics of rehabilitaion design of idle facilities showed that the symbolism was much higher than other rehabilitaion design characteristics. Third, as a result of comparative analysis between idle industrial facility exhibition space and idle non - industrial facility exhibition space, historicity, preservability, and connectivity were high in the idle industrial facility exhibition space. In the exhibition space of idle non-industrial facilities, symbolism and placeness were high.

• Industrial Engineering and Management Systems
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• v.11 no.2
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• pp.170-175
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• 2012

In this paper, a procedure using a genetic algorithm (GA) and a heuristic local search (HLS) is proposed for solving facility rearrangement problem (FRP). FRP is a decision problem for stopping/running of facilities and integration of stopped facilities to running facilities to maximize the production capacity of running facilities under the cost constraint. FRP is formulated as an integer programming model for maximizing the total production capacity under the constraint of the total facility operating cost. In the cases of 90 percent of cost constraint and more than 20 facilities, the previous solving method was not effective. To find effective alternatives, this solving procedure using a GA and a HLS is developed. Stopping/running of facilities are searched by GA. The shifting the production operation of stopped facilities into running facilities is searched by HLS, and this local search is executed for one individual in this GA procedure. The effectiveness of the proposed procedure using a GA and HLS is demonstrated by numerical experiment.

• Journal of Korean Institute of Industrial Engineers
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• v.12 no.1
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• pp.31-41
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• 1986

In this paper, an integrated production inventory model is developed for two products on a single facility in which the raw materials are fed to the production system as required at the facility. The aim is to determine simultaneously the optimal production schedule for two products and the optimal procurement policies for the raw materials in a way that minimizes the total variable cost of the production system. The production schedule for the more frequently set-up product is formulated by the method of equal or unequal lot sizes. For the model developed, we present a computational scheme of finding the optimal policies and carry out sensitivity analysis through example problem.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.1
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• pp.54-60
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• 2001

In this paper, a shape-based block layout (SBL) approach is presented to solve the facility layout problem with unequal-area and fixed shapes. The SBL approach employs hybrid genetic algorithm (Hybrid-GA) to find a good solution and the concept of bay structure is used. In the typical facility layout problem with unequal area and fixed shapes, the given geometric constraints of unequal-area and fixed shapes are mostly approximated to original shape by aspect ratio. Thus, the layout results require extensive manual revision to create practical layouts and it produces irregular building shapes and too much unusable spaces. Experimental results show that a SBL model is able to produce better solution and to create more practical layouts than those of existing approaches.

• Journal of Korean Institute of Industrial Engineers
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• v.33 no.4
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• pp.439-446
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• 2007

A new location model, where the demand varies by periods, and the facility at each period can be open or closed depending on the demand, is discussed in this paper. General facility location problem is extended with the assumption that demands per period vary. A mixed integer programming is suggested and the solution is found for various instances which are randomly generated. Instances included various cases with respect to the length of periods, moving distance of customer locations, and cost structure. The characteristics of optimal solutions are analyzed for various cases, and it is shown that demand changing location model can be applied in a practical fields of supply chains.

• Industrial Engineering and Management Systems
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• v.8 no.1
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• pp.29-36
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• 2009

We present two local-search based metaheuristics for the multi-source capacitated facility location problem. In such a problem, each customer's demand can be supplied by one or more facilities. The problem is NP-hard and the number of locations in the optimal solution is unknown. To keep the search process effective, the proposed methods adopt the following features: (1) a multi-exchange neighborhood structure, (2) a tabu list that keeps track of recently visited solutions, and (3) a multi-start to enhance the diversified search paths. The transportation simplex method is applied in an efficient manner to obtain the optimal solutions to neighbors of the current solution under the algorithm framework. Two in-and-out selection rules are also proposed in the algorithms with the purpose of finding promising solutions in a short computational time. Our computational results for some of the benchmark instances, as well as some instances generated using a method in the literature, have demonstrated the effectiveness of this approach.

• Current Photovoltaic Research
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• v.1 no.2
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• pp.126-139
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• 2013

New national certified license tests for the facility management of new and renewable energy is given from this year. There are three national certified licenses including craftsman, industrial engineer and engineer. The subjects for the craftsman are photovoltaic facility for written exam and practical business of photovoltaic facility for writing exam. The subjects for the industrial engineer are theory, construction, management and law of the photovoltaic system for written exam and practical business of photovoltaic system for writing exam. The subjects for the engineer add one more subject compared with the industrial engineer, such as design of photovoltaic system. The first tests were given in september 28 in this year. The tests will be given three in 2014.

• Journal of Internet Computing and Services
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• v.19 no.6
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• pp.21-29
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• 2018

In the era of the 4-th industrial revolution, the concept of smart factory is emerging. There are efforts to predict the occurrences of facility errors which have negative effects on the utilization and productivity by using data analysis. Data composed of the situation of a facility error and the type of the error, called the facility error log, is required for the prediction. However, in many manufacturing companies, the types of facility error are not precisely defined and categorized. The worker who operates the facilities writes the type of facility error in the form with unstructured text based on his or her empirical judgement. That makes it impossible to analyze data. Therefore, this paper proposes a framework for constructing a phrase network to support the identification and classification of facility error types by using facility error logs written by operators. Specifically, phrase indicating the types are extracted from text data by using dictionary which classifies terms by their usage. Then, a phrase network is constructed by calculating the similarity between the extracted phrase. The performance of the proposed method was evaluated by using real-world facility error logs. It is expected that the proposed method will contribute to the accurate identification of error types and to the prediction of facility errors.

• Journal of Korean Society for Quality Management
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• v.49 no.4
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• pp.581-594
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• 2021

Purpose: The purpose of this study is to compare machine learning models for anomaly detection of mechanical facility equipment and suggest an anomaly detection system for mechanical facility equipment in subway stations. It helps to predict failures and plan the maintenance of facility. Ultimately it aims to improve the quality of facility equipment. Methods: The data collected from Daejeon Metropolitan Rapid Transit Corporation was used in this experiment. The experiment was performed using Python, Scikit-learn, tensorflow 2.0 for preprocessing and machine learning. Also it was conducted in two failure states of the equipment. We compared and analyzed five unsupervised machine learning models focused on model Long Short-Term Memory Variational Autoencoder(LSTM-VAE). Results: In both experiments, change in vibration and current data was observed when there is a defect. When the rotating body failure was happened, the magnitude of vibration has increased but current has decreased. In situation of axis alignment failure, both of vibration and current have increased. In addition, model LSTM-VAE showed superior accuracy than the other four base-line models. Conclusion: According to the results, model LSTM-VAE showed outstanding performance with more than 97% of accuracy in the experiments. Thus, the quality of mechanical facility equipment will be improved if the proposed anomaly detection system is established with this model used.