• Proceedings of the KSR Conference
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• 2011.05a
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• pp.606-612
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• 2011

At the product design and development stage, the main criteria selecting a design alternative were performance aspect as well as cost aspect of a product. Ongoing new paradigm shifts such as low carbon green growth, climate change mitigation, sustainable society development urged considering environmental aspect of a product at the product design and development stage. Up to recently, only cost aspect except performance of a product was considered at the railway vehicle design process. Therefore, it is needed to develop a method that may consider environmental aspect of a product at the railway vehicle design process. Lee (2011) proposed that a method of an integration assessment of environmental aspect and cost aspect based on GHG emission instead of based on monetary value. This study conducted that apply the method of Lee (2011) to design alternative selection process of a railway vehicle. From the integrated view of environmental and cost aspect, the reference product and design alternatives are assessed and compared.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.3
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• pp.315-327
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• 2001

This paper considers the problem of operation sequencing in nonlinear process planning, which is the problem of selecting and sequencing operations required to produce a part with the objective of minimizing the sum of operation processing costs and machine, setup and tool change costs. Main constraints are the precedence relations among operations. The problem can be decomposed into two subproblems: operation selection and operation sequencing. We suggest four simulated annealing algorithms, which solve the two subproblems iteratively until a good solution is obtained. Here, the operation selection problem can be solved using a shortest path algorithm. Application of the algorithms is illustrated using an example. Also, to show the performances of the suggested algorithms, computational experiments were done on randomly generated test problems and the results are reported. In particular, one of the suggested algorithms outperforms an existing simulated annealing algorithm.

• Advances in environmental research
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• v.7 no.1
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• pp.1-11
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• 2018

Textile factories are one of the industries which its wastewater treatment is a challenging issue, especially in developing countries and a conventional treatment cannot treat all its pollutants properly. Using chemical coagulants is a technique for physical and chemical primary treatment of the wastewater. We applied jar test for selection of suitable coagulant among the five coagulants including alum, calcium hydroxide, ferrous sulfate, ferrous chloride and barium chloride for the effluent of wastewater in Mazandran textile factory located in Mazandran Province, Iran. In addition, jar test, we also used analytic hierarchy process (AHP) method considering criteria which included coagulation cost, sensitivity to pH change, the amount of sludge generation and side effects for coagulation. The results of the jar test indicated that calcium hydroxide was proper among the coagulants which it removed 92.9% total suspended solid (TSS), 70% dye and 30% chemical oxygen demand. The AHP analysis presented that calcium hydroxide is more suitable than other coagulants considering five criteria.

• Journal of Korean Library and Information Science Society
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• v.45 no.2
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• pp.93-116
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• 2014

This study analyzed the digital curation process targeting the foreign 10 university libraries for the efficient utilization of the research data. The analysis was conducted by dividing into 4 parts such as the selection and ingest of data, preservation, access and use, responsibilities and management. The results indicated that research data for selection and ingest include data produced by the faculty members or can be accessible in the university or research institution. The findings also showed that the institutions use Dublin Core, MODS, and PREMIS as a metadata for preservation. In the aspect of approach and use, regulation are decided based on the law and agreement. And in the aspect of responsibility and management, most elements are divided into the management, financial, technical, physical, and personal parts and each audit or sustainability is reviewed.

• Journal of architectural history
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• v.26 no.3
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• pp.51-62
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• 2017

The purpose of this study was to comprehend the selection process of quarry and the quarry Jogyedong through the Salleung-uigwes in royal tombs constructions in the late Joseon period. Especially, it is to comprehend about the effect by difference of use of stone between Daebuseokso and Sobuseokso. Following conclusions have been reached through the study. First, the quarry of Daebuseokso had been selected very carefully through the quality check process. Second, the quarry of royal tombs around the capital was located at Mt. Bulam in the east and Mt. Bukhan in the west. This is because the nature of the procurement of stone, which is important for transportation, is that it is necessary to prepare the mountains close to the royal tombs. Third, the locations of quarry of between Daebuseokso and Sobuseokso were differently selected. The quarry of Daebuseokso was located at a distance of three times distant from Sobuseokso. Forth, the epigraph related to quarry is located in Sareung construction in the valley of Jogyedong. This is a very important data to confirm the location of royal tombs construction.

• Knowledge Management Research
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• v.19 no.1
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• pp.97-118
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• 2018

The finance-investment industry is currently focusing on research related to artificial intelligence and big data, moving beyond conventional theories of financial engineering. However, the case of equity optimization portfolio by using an artificial intelligence, big data, and its performance is rarely realized in practice. Thus, the purpose of this study is to propose process improvements in equity selection, information analysis, and portfolio composition, and lastly an improvement in portfolio returns, with the case of an equity optimization model based on quantitative research by an artificial intelligence. This paper is an empirical study of the portfolio based on an artificial intelligence technology of "D" asset management, which is the largest domestic active-quant-fiduciary management in accordance with the purpose of this paper. This study will apply artificial intelligence to finance, analyzing financial and demand-supply information and automating factor-selection and weight of equity through machine learning based on the artificial neural network. Also, the learning the process for the composition of portfolio optimization and its performance by applying genetic algorithms to models will be documented. This study posits a model that the asset management industry can achieve, with continuous and stable excess performance, low costs and high efficiency in the process of investment.

• Proceedings of the Technology Innovation Conference
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• 1992.12a
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• pp.97-118
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• 1992

To date, the implementation and adoption of new manufacturing technologies has been retarded despite their technical advances and strategic virtues such as flexibility and synergy effect. This phenomenon is partly attributable to the lack of commensurate development and widespread dissemination of adequate selection and justification procedures. Many strategically vital automation projects have been rejected and/or seemingly promising proposals have turned out to be fiascos since the justification process has been solely based on the traditional capital budgeting or engineering economy methods. As the degree of system automation/integration increases, a variety of benefit/cost attributes, both quantitative and qualitative, should be taken into account and more comprehensive and analytic justification methods should be applied in the justification process. This paper points out the distinct characteristics of advanced technologies and presents an illustrative set of procedures that can be used in the justification process. It outlines the algorithmic structure of each procedure and also describes the advantages/disadvantages of each procedure and the conditions under which it is most appropriate to employ. The selection of appropriate justification technique is situation-specific. In general, it is recommended that more complex and sophisticated procedures be used as the degree of integration increases. Nonetheless, traditional procedures may be used as well to make in-depth analyses of the local impact.

• IEIE Transactions on Smart Processing and Computing
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• v.4 no.2
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• pp.115-125
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• 2015

This paper presents a Cuckoo search algorithm to secure adversaries misdirecting multi-hop routing in Mobile ad hoc networks (MANETs) using a robust Trust Predicated Routing Framework with an optimized cluster head selection. The clustering technique designed in this framework leads to efficient routing in MANETs. The heavy work load in the node causes an energy drop in cluster head, which leads to re-clustering of the group, and another cluster head is selected to avoid packet loss during data transmission. The problem in the re-clustering process is that the overall efficiency of the routing process is reduced and the processing time is increased. A Cuckoo search based optimization algorithm is proposed to solve the problem of re-clustering by selecting the secondary cluster head within the initially formed cluster group and eliminating the reclustering process. The proposed framework enables a node to select a reliable and secure route for MANET and the performance can be evaluated by comparing the simulated results with the AODV routing protocol, which shows that the performance of the proposed routing protocol are improved significantly.

• Journal of the Korea Safety Management & Science
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• v.13 no.3
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• pp.63-69
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• 2011

As environmental protection is becoming more and more important, green production has become a key issue for almost every manufacturer and will determine a manufacturer can be sustainable in the long term. Therefore a performance evaluation system for green suppliers is necessary to determine the suitability of suppliers to cooperate with the company. While the works on the evaluation and/or selection of suppliers are abundant, those that concern environmental issues are rather limited. The objective of this study is to construct a combined model based on fuzzy analytic hierarchy process (FAHP) and balanced scorecard (ESC) for evaluating green suppliers in the manufacturing industry. The ESC concept is applied to define the hierarchy with four major perspectives (i.e. financial, customer, internal business process, and learning and growth), and performance indicators are selected for each perspective. FAHP is then proposed in order to tolerate vagueness and ambiguity of information. Finally, FAHP is finally constructed to facilitate the solving process. With the proposed model, manufacturers can have a better understanding of the capabilities that a green supplier must possess and can evaluate and select the most suitable green supplier for cooperation.

• Journal of the Korean Society of Systems Engineering
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• v.15 no.1
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• pp.25-33
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• 2019

In the plant industry, the share of equipment accounts for 45 ~ 75%, which is very high. It is a traditional plant centered on processes and reactions like petroleum and chemical plants. Renewable energy generation plants such as wind power generation and solar power generation are equipment-centric plants. Equipment-centric plants are very important not only in the EPC phase but also in the operation and management phase. The procurement of equipment for plant operation and management can be divided into make and buy. Make is a method of producing equipment itself, and buy is a method of procuring equipment from the outside. The procurement method of the equipment directly affects the plant operation and management cost. In this study, the decision making of equipment procurement method for plant operation and management is defined as 4 phase. Each phase is selection of procurement decision-making objects, technology strategy perspective, finance perspective, and production perspective. In detail, we defined selection process of procurement decision-making objects and technology strategy perspective process. We will contribute to the enhancement of the competitiveness of the plant operation and management area by carrying out researches on the process and application examples of financial and production perspectives in the future.