• The KIPS Transactions:PartD
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• v.9D no.5
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• pp.897-902
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• 2002

Because of rapid evolution of software technique, numerous software professionals have been concerned with component based development methodologies. However, it is hard to find out a systematic technique for the selection of COTS (Commercial Off The Shelf) component in consumer position. Up to date, the major of component quality evaluation is object-oriented metric based evaluation methodology. But this paper present four step process and evaluation criteria based on MCDM (Multiple Criteria Decision Making) technique for optimal COTS component selection in consumer position. We considered funtionality, efficiency, usability based on IS0/IEC 9126 for Quality measurement and executed practical analysis about commercial EJB component in internet. This paper show that the proposed selection technique is applicable to optimal COTS component selection.

• Culinary science and hospitality research
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• v.15 no.3
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• pp.179-196
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• 2009

As consumers are more conscious about the preferred traits and branding in restaurant selection, restaurant practitioners are getting more interested in the traits which constitute and influence consumers' brand association. Dining selection is known to be a complicated psychological process that consumers undergo, incorporating social and cultural values, personal tastes, and other psychological factors. This study was designed to investigate the specific non-food traits perceived by consumers in fine restaurant selection. Also, it prioritized those examined traits. Building on exploratory qualitative research, results from 11 interviews through focus group sessions were utilized in data analysis. Content analysis of the interviews enabled categorization of the associations. The categorized variables were utilized for empirical data analysis of conjoint analysis. First, the results suggested five superior traits such as atmosphere, price, customer relations, employee competence, and convenience of systems in fine restaurant brand association. Second, they were prioritized in the order of atmosphere, price, consumer relations, employee competence, and convenience. Finally this study provided practical implications for fine restaurant professionals in linking consumers' psychologically networked traits to brand selection.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.25-32
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• 2013

Due to increasing competition of globalization and fast technological improvements the appropriate method for evaluating and selecting IS-personnel is one of the key factors for an organization's success. Personnel selection is a multi-criteria decision-making (MCDM) problem which consists of both qualitative and quantitative metrics. Although many articles have discussed various knowledge and skills IS personnel should possess, no specific model for IS personnel selection and evaluation, to our knowledge, has been published up to now. After reviewing the IS personnel's important characteristics, we propose an approach for categorizing the IS personnel based on their skills, ability, and knowledge during evaluation and selection process. Our proposed approach is derived from a model of neural network algorithm. We have adapted and implemented the fuzzy ART algorithm with Jaccard choice function. The result of an illustrative numerical example is proposed to demonstrate the easiness and effectiveness of our approach.

• Asia pacific journal of information systems
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• v.12 no.4
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• pp.193-213
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• 2002

The sales activity of most of small manufacturing companies is based on orders of buyers. The process of promotion, negotiation, receipt and selection of orders of the manufacturers is closely coupled with the load status of the production lines. The decision on whether to accept an order or not, or the selection of optimal order set among excessive orders is entirely dependent on the schedule of production lines. However, in the real world, since the production scheduling activity is mainly performed by human experts, most of small manufacturers are suffer from being unable to meet due dates, lack of rapid decision on the acceptance of new order. Recently, Internet based Electronic Commerce is recognized as one of the alternatives for strengthening sales power of small and medium companies. However, small and medium manufacturers can't adjust properly to the new environment because they are in short of money, personnel, and technology. To cope with this problem, this paper deals with development of part sales agent coupled with virtual manufacturing in Internet environment that consist of selection agent, advertisement agent, selection agent, negotiation agent, and virtual manufacturing system. This paper develops a time-bounded negotiation mechanism for small and medium manufacturers in agent-based automated negotiation between customers and negotiation agents. Furthermore, to select optimal order set maximized profit, we first formulate the order selection problem with mixed integer programming, but the computation time of IP is not acceptable for real world scale problem. To overcome this problem and dynamic nature of virtual manufacturing, we suggest a genetic algorithm approach, which shows a reasonable computation time for real world case and good incremental problem solving capability.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.448-452
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• 2006

Remodeling is deemedto be very important from the perspective of the recycling of resources, instead of scrapping the existing structure, and the creation of 'value added' which is equivalent to the 'value added' from the new construction. In addition, the selection of the appropriate construction method assures the saving of construction cost, the shortening of construction period, and the improvement of quality. Moreover, the selection of the construction method for the remodeling construction is far more important than the current new construction work, considering that the characteristicsof construction site and the structure have a great effect on the construction in case of the remodelingconstruction. Current selection of the construction method, however, does not reflect the construction information, but just adheres to the construction method which was commonly applied previously. Therefore, this study proposes the measure to embody the tool that assists the decision making in selecting the construction method.

• Journal of Korean Society for Geospatial Information Science
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• v.5 no.1 s.9
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• pp.27-40
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• 1997

Recently, with the demand for airservice increasing and localization accelerating, airport construction is booming. However, in the case of an unsuitable airport site selection, it might cause a reduction in airport service and a decrease in airport demand. Thus, it is necessary to construct a representative airport and choose a suitable site selection method for economical and efficient airports in order to make the utmost use of airport functions. In this study, GSIS was used to select the airport site and applied to case study areas. GSIS could present a new method for efficient and scientific analysis in airport site selection including various factors over an extensive area. The use of both, the paired comparison method and the delphi method, could improve the objectivity of analysis results in the process considering the relative weight grade of data and priority order of analysis factors, used in airport site selection.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.3
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• pp.501-509
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• 2011

In this paper, we offer a new strategic Portfolio Model for national IT R&D project selection in Korea. A risk and return (R-R) Portfolio Model was developed using an objectively quantified index on the two axes of risk and return, in order to select a strategic project and allocate resources in compliance with a national IT R&D strategy. We strategize using the R-R Portfolio Model to solve the non-strategy and subjectivity problems of the existing national R&D project selection Model. We also use the quantified evaluation index of the IT technology road map (TRM) and the technology level Survey (TLS) for the subjectivity of project selection, and try to discover the weights using the analytic hierarchy process (AHP). In addition, we intend to maximize the chance for a successful national IT R&D project, by selecting a strategic Portfolio project and balancing the allocation of resources effectively and objectively.

• Journal of the Korea Institute of Building Construction
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• v.15 no.4
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• pp.405-412
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• 2015

The procurement of public construction, which has been selected mainly on the basis of the work experience of a department of public agencies that award construction contracts or those in charge of ordering, has not been executed through an objective selection process considering the construction types or characteristics. Thus, as a preliminary study on developing a model for the selection of contract methods, this study intends to analyze and present the key factors affecting the selection of procurement methods in public construction. Through a literature review on the existing methods, foundational factors were first presented, based on the analysis of these factors, the final influence factors were proposed. As a result, 6 factors contractor's characteristics, the environment of the construction market, relevant organization, the characteristics of a project, costs, and responsibility factors were determined, and 14 sub-factors were selected. The factors presented in this study will be used as base data for developing a decision making support model for the selection of contract methods in public construction.

• Industrial Engineering and Management Systems
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• v.9 no.2
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• pp.88-96
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• 2010

This paper presents a two-phase quantitative framework to aid the decision making process for effective selection of an efficient freight logistics hub from 8 alternatives in Thailand on the North-South economic corridor. Phase 1 employs both multiple regression and Pearson Feature selection to find the important criteria, as defined by logistics hub score, and to reduce number of criteria by eliminating the less important criteria. The result of Pearson Feature selection indicated that only 5 of 15 criteria affected the logistics hub score. Moreover, Genetic Algorithm (GA) was constructed from original 15 criteria data set to find the relationship between logistics criteria and freight logistics hub score. As a result, the statistical tools are provided the same 5 important criteria, affecting logistics hub score from GA, and data mining tool. Phase 2 performs the fuzzy stochastic AHP analysis with the five important criteria. This approach could help to gain insight into how the imprecision in judgment ratios may affect their alternatives toward the best solution and how the best alternative may be identified with certain confidence. The main objective of the paper is to find the best alternative for selecting freight logistics hub under proper criteria. The experimental results show that by using this approach, Chiang Mai province is the best place with the confidence interval 95%.

• Korean Journal of Construction Engineering and Management
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• v.20 no.3
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• pp.77-85
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• 2019

Reconstruction and remodeling have been introduced as a part of renewal (redevelopment) projects for old apartments built after the mid-1970's and government policies for revitalizing each project has been changed continually. However, the frequent changes of the policies have caused conflicts among business entities in selecting business methods. The conflicts from their early stages have made serious problems in the entire business process. Therefore, this study deduced factors of business selection by applying comparison analysis between the two business projects on how certain factors have an influence on selecting reconstruction and remodeling business projects. Based on the analysis, four categories and 26 factors were finally selected. After then, the priority of each selection factor was deduced through the AHP method and PROMETHEE method used for analysis of relative importance and impact values regarding to the business selection.