• The Journal of Society for e-Business Studies
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• v.10 no.2
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• pp.43-57
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• 2005

The web services concept is rising as a standard to integrate heterogeneous systems in distributed environment based on XML messaging. Recently, for that reason, many companies are trying to use web services for their B2C and B2B business. In order to successfully introduce the web services, it is required to guarantee a differentiated quality of web services. However, most of the current web services cannot provide differentiated policies for requested messages and the existing web servers cannot consider appropriately the quality factors of web services in the service level agreement between provider and consumer. In this paper, we analyzed appropriate quality factors of web services in application level and suggested priority allocation strategy for processes dealing with messages of web services using those factors. This strategy can allocate dynamically a priority to satisfy the service level agreement.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.191-203
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• 2020

This study aims to present the differentiating factors of B2B salesperson competency through comparing the suppliers and buyers in Korean steel industry in their perception on the importance and priority of B2B salesperson competency. Based on previous studies, analysis on B2B salesperson competency has been analyzed using the B2B salesperson performance competency measure factors and appropriately reorganizing them for better application to the steel industry. The required performance competencies of B2B salesperson can be categorized into 3 different types, namely social exchange competency, advisory sales competency, and skill & knowledge competency. AHP analysis was performed for analyzing the relative importance of B2B salesperson competency based on the factors of previous studies, in which categorization of the aforementioned types had been done. As the result, first, it has been confirmed that there is a difference in 1st layer main factors between the supplier group and buyer group. The supplier group valued the advisory sales competency, while the buyer group valued skill & knowledge competency. Second, it has been proved that there is same result of relative importance in 2nd detailed factors between the supplier group and buyer group. Both group confirmed that customer member, identify customer needs and communication skill are very important factors. Third, as the result of analysis on the gap between B2B salesperson competency of the suppliers and buyers, the gap in the product knowledge and sales team member need improvement for buyer's satisfaction according to overall results of relative importance and priority. The steel supplier was able to develop B2B salesperson competency according to the buyers' needs based on the result of this study, and furthermore it is expected that this study will be able to contribute to increase in buyer competitiveness through differentiation in B2B salesperson competency.

• Journal of Information Technology Services
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• v.14 no.3
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• pp.99-116
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• 2015

The concept of Cloud computing has been introduced in the IT field over 10 years and industry has been expanding constantly. However, compare to the maturity of global market, Korea cloud computing industry is only in the early stage. Even the Korea has advantages in technology infrastructure; the pace of Korea cloud computing market growth is taking a serious downturn. Under these circumstances, it is needed to be discussing that strategy for expanding the cloud computing market size and for sustaining global competitiveness of local companies. Previous studies on plans for Korea cloud computing market has been conducted since 2009 and most of them are tend to examined in demand perspective. Thus, this study aims at identifying the priority of business challenges for making better performance in the market with service provider aspects. To analyze the important factors in the providing cloud computing service, ANP methodology was applied in this study. The network model including five clusters, security, stability, performance, consumer, and institution, was defined through literature review and expert survey was conducted to collect data. As a result of ANP analysis, 'Securing service reliability' was analyzed as the most important factor and followed by 'Preparing the range of legal liability', 'Preventing personal information leakage' and 'Preventing confidential information data leakage.' The priority of result indicates that service provider needs to focus on to make the secured service environment. This study has significance on analyzing the priority of business challenges in the service provider perspective. This study will provide useful guidelines to for establishing strategies in cloud computing market.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.103-110
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• 2020

This study analyzes the strategy of determining economic development planning on SME improvement in Indonesia. A qualitative approach was conducted through interview questionnaires with twenty respondents, including sixteen Regional Apparatus Work Unit, Fisheries and Marine Office lecturers, subdistrict heads, and development observers. The method used is Analytical Hierarchy Process (AHP). AHP prioritizes criteria and sub-criteria to increase economic growth, reduce poverty, and increase community participation, while indicating the sub-criteria to optimize resource potential, strengthen micro-economy, develop tourism potential, utilize fishery potential and cultivation, and improve institutional performance. The AHP weighting results based on competitiveness and regional development of Bantaeng Regency is the priority in policy-making for a solution. The research shows that the government strategy, based on the perception of the stakeholders, is: optimizing resources strategy with priority to maximize the resource-carrying capacity that includes agriculture and farm, tourism development potential strategy, self-reliance of community groups and coaching and management. Strategies to strengthen micro economy include: industrial control, SMEs, community cooperatives and infrastructure improvements, strategies to improve institutional performance work capacity and work ethic, and strategies to utilize fisheries and cultivation potential technological development, provision of processed industries of fishery products, and improvement of the quality of the environment.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.10
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• pp.83-90
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• 2019

The purpose of the present study is to confirm, through quantitative indices, changes arising with the implementation of urban regeneration projects, with a specific focus on the case of Dongnam-gu, Cheonan, one of the 13 priority rgions in urban regeneration. By utilizing quantitative data including resident population, floating population, revenue, number of small business persons, number of startup companies, and number of licensed buildings, the study confirmed changes in Dongnam-gu and other urban regeneration areas. The study compared monitoring results and implemented project policies to confirm changes within the area as a result of project implementation. Additionally, resident perception toward business districts was surveyed to confirm changes in perception and opinion, and monitoring indices were used to confirm changes as a result of project implementation. Accordingly, the study presented a plan to carry out the assessment of urban regeneration projects, which can be employed as data for conducting future urban regeneration projects. Urban regeneration projects are carried out for the long-term. Therefore, based on monitoring and investigative data, they require constant policy suggestions and periodic monitoring in accordance with changes resulting from project implementation. With regards to the effective range of urban regeneration projects, the study confirmed the possibility of an effect not only in the area of project implementation but also in surrounding areas. However, because the study merely confirms changes in Dongnam-gu, Cheonan, additional research is necessary to ascertain assessment plans suitable to the different types and regional characteristics of urban regeneration projects.

• Journal of Korean Society for Quality Management
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• v.50 no.1
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• pp.125-138
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• 2022

Purpose: Failure Mode and Effect Analysis (FMEA) is a widely utilized technique to measure product reliability by identifying potential failure modes. Even though FMEA techniques have been studied, the form of Risk Priority Number (RPN) used to evaluate risk priority in FMEA is still questionable because of its shortcomings. In this study, we suggest common RPN(cRPN) to resolve shortcomings of the traditional RPN and show the extensibility of cRPN. Methods: We suggest cRPN which is based on Cobb-Douglas production function, and represent the various application on weighting risk factors, weighted RPN in a mathematical way, and show the possibility of statistical approach. We also conduct numerical study to examine the difference of the traditional RPN and cRPN as well as the potential application from the analysis on marginal effects of each risk factor. Results: cRPN successfully integrates previously suggested approaches especially on the relative importance of risk factors and weighting RPN. Moreover, we analyze the effect of corrective actions in terms of econometric analysis using cRPN. Since cRPN is rely on the reliable mathematical model, there would be numerous applications using cRPN such as smart factory based on A.I. techniques. Conclusion: We propose a reliable mathematical model of RPN based on Cobb-Douglas production function. Our suggested model, cRPN, resolves various shortcomings such as consideration of the relative importance, the effect of combinations among risk factors. In addition, by adopting a reliable mathematical model, quantitative approaches are expected to be applied using cRPN. We find that cRPN can be utilized to the field of industry because it is able to be applied without modifying the entire systems or the conventional actions.

• Management Science and Financial Engineering
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• v.13 no.2
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• pp.29-46
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• 2007

This paper makes an attempt to compare the two important methods for finding solutions of multi-item inventory problem with more than one conflicting objectives. Panda et al.[9] discusses a distance-based method to find the best possible compromise solution with variation of priority under the given weight structure. In this paper, the problem in [9] is revisited through the Pareto-optimal front of genetic algorithm with the help of a situation of retail stocking of FMCG business. The advantages of using the solutions from the perspective of the decision maker obtained through multi-objective optimization are highlighted in terms of population search, weighted goals and priority structure, cost, set of compromise solutions along with prevention of stock-out situation.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.1-16
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• 2012

This paper is aimed to present a fuzzy decision-making approach to deal with disaster recovery priority decision problem in information system. We derive an evaluation approach based on TOPSIS(Technique for Order Performance by Similarity to Ideal Solution), to help disaster recovery priority decision of total information system for port logistics in a fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterized by trapezoidal fuzzy numbers. This study applies the fuzzy multi-criteria decision-making method to determine the importance weight of evaluation criteria and to synthesize the ratings of candidate disaster recovery system. Aggregated the evaluators' attitude toward preference, then TOPSIS is employed to obtain a crisp overall performance value for each alternative to make a final decision. This approach is demonstrated with a real case study involving 4 evaluation criteria(system dependence, RTO, loss, alternative business support), 7 information systems for port logistics assessed by 5 evaluators from Maritime Affairs and Port Office.

• Journal of applied mathematics & informatics
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• v.13 no.1_2
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• pp.323-334
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• 2003

This paper presents a goal-programming (GP) model for management decision-making for sugarcane fertilizer mix problems. Sensitivity analysis on the priority structure of the goals has been performed to obtain all possible solutions. The study uses Euclidean distance function to measure distances of all possible solutions from the ideal solution. The optimum solution is determined from the minimum distance between the ideal solution and other possible solutions of the problem. The optimum solution corresponds to the appropriate priority structure of the problem in the decision-making context. furthermore, the results obtained from sensitivity analysis on the cost of combination of fertilizers confirm the priority structure.

• Journal of information and communication convergence engineering
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• v.11 no.4
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• pp.235-240
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• 2013

Cloud systems are popular computing environment because they can provide easy access to computing resources for users as well as efficient use of resources for companies. The resources of cloud computing are heterogeneous and jobs have various characteristics. One such issue is effective job scheduling. Scheduling in the cloud system may be defined as a multiple criteria decision model. To address this issue, this paper proposes a priority-based two-step job scheduling algorithm. On the first level, jobs are classified based on preference. Resources are dedicated to a job if a deadline failure would cause severe results or critical business losses. In case of only minor discomfort or slight functional impairment, the job is scheduled using a best effort approach. On the second level, jobs are allocated to adequate resources through their priorities that are calculated by the analytic hierarchic process model. We then analyze the proposed algorithm and make a scheduling example to confirm its efficiency.