• Journal of the Korea Society for Simulation
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• v.14 no.3
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• pp.43-54
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• 2005

For the effective design of automated distribution center composed of Automated Storage/Retrieval System, Automated Guided Vehicle System, and Conveyor System, we proposed an analysis method to determining. design and control parameters with multiple performance objectives using Compromise Programming, which can resolve the dilemma of conflicting objectives. The Evolution Strategy generates the optimal solutions for each objectives. The Analytic Hierarchy Process selects the best solution among the alternatives generated from Evolution Strategy. The Regression Analysis formulates the objective functions for each objectives. By reducing deviations between goal values and target values generated from Analytic Hierarchy Process, Compromise Programming determines design and control parameters by compromising the multiple objectives formulated using Regression Analysis. When the parameters of system are changed, this proposed analysis method has a benefit of reducing costs and time without repeating whole simulation run.

• Journal of the Korea Safety Management & Science
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• v.13 no.2
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• pp.129-135
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• 2011

Logistics parks make profits using the efficiency of time and space. Such logistics parks play an important role in a corporation creating operating profits as well as acting as a method of alternative investment for individuals. Logistics parks no longer simply store materials, but have become a place that plays an important role in various areas of corporate and individual activities, and thus the analysis of the selection of the location of logistics parks and the related characteristics is extremely important. The estimation model is established by the weights for industry derived from AHP(Analytic Hierarchy Process).

• Journal of Korea Technology Innovation Society
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• v.7 no.2
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• pp.397-412
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• 2004

The importance of maritime sector in Korea has been increasingly recognized in recent days. As the country enters the $\ulcorner$new ocean era$\lrcorner$ the oceans are often regarded as holding the keys to solve the problems of modem industry associated with changing environment as well as changing societies and national politics. This paper attempts to address the national maritime R＆D policies and their relative importances. In the methodology, Saaty's analytic hierarchy process model is used to evaluate and rank the selected maritime R＆D projects which have a wide range of characteristics and policy implications. The criteria used for policy evaluation relates specifically to the Korea's evaluation needs and culture, and those criteria are weighted according to their relative importance as perceived by the maritime R＆D specialists.

• Geomechanics and Engineering
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• v.18 no.5
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• pp.515-525
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• 2019

A karst collapse, as a natural hazard, is totally different to a normal collapse. In recent years, karst collapses have caused substantial economic losses and even threatened human safety. A risk assessment model for karst collapse was developed based on the fuzzy analytic hierarchy process (FAHP) and grey relational analysis (GRA), which is a simple and effective mathematical algorithm. An evaluation index played an important role in the process of completing the risk assessment model. In this study, the proposed model was applied to Jiaobai village in southwest China. First, the main controlling factors were summarized as an evaluation index of the model based on an investigation and statistical analysis of the natural formation law of karst collapse. Second, the FAHP was used to determine the relative weights and GRA was used to calculate the grey relational coefficient among the indices. Finally, the relational sequence of evaluation objects was established by calculating the grey weighted relational degree. According to the maximum relational rule, the greater the relational degree the better the relational degree with the hierarchy set. The results showed that the model accurately simulated the field condition. It is also demonstrated the contribution of various control factors to the process of karst collapse and the degree of collapse in the study area.

• Journal of Information Technology Services
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• v.16 no.1
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• pp.41-53
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• 2017

Recently, due to the economic recession and increase of ITO (IT Outsourcing), bidding in software industry has been recognized as more competitive and the importance of software bid evaluation for corporate selection is being increased. This study aims to analyze and prioritize influential factors in the software bid evaluation criteria which is adopted as the main evaluation model of national software businesses by Ministry of Science. The priority was developed by AHP (Analytic Hierarchy Process) through pair-wise comparison. For the analysis, this study developed analysis model for AHP and conducted survey of experts who have work experience for more than 10 years in the IT industry. As the result of analysis, weighted factors in the evaluation criteria were deduced and differences of priority factors between purchaser and bidder were investigated. The analysis showed differences of view point in the bidding process. With these results, this study suggests how to write a proposal strategically and effectively in perspective of the purchaser. It is expected that priority factors will be adopted in strategic proposals in both bidder and purchaser. For purchaser, the priority will be adopted to select reliable bidder. So, we expect that the priority factors will be used to get more values for both bidder and purchaser in their business atmosphere.

• Journal of Information Technology Services
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• v.7 no.4
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• pp.151-165
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• 2008

This study suggests the organization-level standard(model and process) for quality evaluation of information systems(IS) in non-use organizations despite international standards(ISO/IEC 9126 and ISO/IEC 14598) and national standards(KS X 9126 and KS X 14598) related to quality evaluation of IS. The standard in this study is composed of quality evaluation processes, a quality model, and quality metrics. The weights of the attributes and the sub-attributes in the quality model were calculated by an analytic hierarchy process(AHP). The minimum level and the target level of each metrics were determined by brainstorming of the committee. Furthermore, the case study for the investigation of the applicability and the usability of the suggested organizational standard in the real IS development project was performed. For gaining significant benefits of the standard, both the diffusion and the experience accumulation by its continuous use are needed.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.5
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• pp.45-52
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• 2015

The read performance of hybrid hard disk is better than the legacy hard disk and power consumption is also considerably low. As blocks with enough localities may be located in the non-volatile cache whose size is generally limited, an effective block replacement scheme is required. As this replacement is inevitably affected by various parameters, we define this issue as a kind of multiple criteria decision model. To solve this problem, this paper suggests a new block replacement algorithm based on the analytic hierarchy process. Through simulation for our model, we confirmed that the proposed model could be used as a replacement algorithm of the hybrid hard disk as it may improve boot time as well as response time of general applications.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.5
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• pp.67-74
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• 2002

Technology Management and Research & Development(R&D) have been one of the most difficult divisions for measurement and evaluation. In spite of these difficulties, the importance of R&D has been dramatically increased. It is very difficult to manage more efficiently and effectively than any other departments of production, finance, marketing and so on. As criticizing the shortcomings of the traditional evaluation system in making decisions for corporate management which has only been focused on financial indices, so Kaplan & Norton has suggested the Balanced Scorecard(BSC) which can be managed Critical Success Factors(CSF) in accordance with corporate's strategy. The Analytic Network Process(ANP), based on the Analytic Hierarchy Process, allows the decision makers to leap beyond the traditional hierarchy to the interdependent environment of network modeling. Based on BSC, this study has developed the evaluation system for R&D which has used ANP transforming quantitative and qualitative indices to the quantifying scales in evaluating R&D.

• Journal of the Ergonomics Society of Korea
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• v.9 no.2
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• pp.47-54
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• 1990

These are preisely the controlling foators that we must deal with and measure in order to get relatistic answers. We must stop making simplifying assumptions to suit our quqntitative models man deal with complex situations. To be relistic our models must include and measure all important tangible and intangible, quantitatively measureable, and qualitative factors. This is precisely what we do with the analytic hierarchy process (AHP). In this paper, the statistics of industrial accidents are classified with its causes, and safety organization in D heavy industry company be evaluated by Analytic hierarchy model. The influence weight of level of safety organization can be ordered supervisor (0.364), operator (3.10), top manager (0.232) and executive (o.164) by AHP.

• Environmental Engineering Research
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• v.24 no.4
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• pp.559-565
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• 2019

In order to alleviate the environmental pressure caused by production process of thermal power plants, the application of cleaner production is imperative. To estimate the implementation effects of cleaner production in thermal plants and optimize the strategy duly, it is of great significance to take a comprehensive evaluation for sustainable development. In this paper, a hybrid model that integrated the analytic hierarchy process (AHP) with least squares support vector machine (LSSVM) algorithm optimized by grid search (GS) algorithm is proposed. Based on the establishment of the evaluation index system, AHP is employed to pre-process the data and GS is introduced to optimize the parameters in LSSVM, which can avoid the randomness and inaccuracy of parameters' setting. The results demonstrate that the combined model is able to be employed in the comprehensive evaluation of the cleaner production in the thermal power plants.