• Journal of Auto-vehicle Safety Association
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• v.10 no.2
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• pp.50-55
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• 2018

Choosing automobile safety options is price-performance matter. The best fit options to buyer who has a certain driving habit are problem of MCDM (Multi Criteria Decision Making) because price of safety option, statistics of relating accident, consequence of accident, and driving habit are the multi criteria to be evaluated. In this paper, PROMETHEE-GAIA methodology is applied for solving this MCDM problem. The result shows that a different driving habit makes different choosing priority of safety options.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.4
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• pp.69-78
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• 2010

Multi-criteria ABC inventory classification is one of the most widely employed techniques for efficient inventory control, and it considers more than one criterion for categorizing inventory items into groups of different importance. Recently, Ramanathan (2006) proposed a weighted linear optimization (WLO) model for the problem of multi-criteria ABC inventory classification. The WLO model generates a set of criteria weights for each item and assigns a normalized score to each item for ABC analysis. Although the WLO model is considered to have many advantages, it has a limitation that many items can share the same optimal efficiency score. This limitation can hinder a precise classification of inventory items. To overcome this deficiency, we propose a context-dependent DEA based method for multi-criteria ABC inventory classification problems. In the proposed model, items are first stratified into several efficiency levels, and then the relative attractiveness of each item is measured with respect to less efficient ones. Based on this attractiveness measure, items can be further discriminated in terms of their importance. By a comparative study between the proposed model and the WLO model, we argue that the proposed model can provide a more reasonable and accurate classification of inventory items.

• Industrial Engineering and Management Systems
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• v.14 no.4
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• pp.347-371
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• 2015

A hybrid procedure based on multi-Criteria Satisfaction Analysis (MUSA) and a Network Data Envelopment Analysis (NDEA) is proposed to evaluate the relative efficiency of customer services in bank branches. First, a three-stage process including sub-processes such as customer expectations, customer satisfaction, and customer loyalty, is defined to model the banking customer services. Then, fulfillment of customer expectations, customer loyalty level, and the customer satisfaction degree are measured and quantified through a multi-dimensional questionnaire based on customers' perceptions analysis and MUSA method, respectively. The customer services scores and the other criteria such as mean of employee evaluation score, operation costs, assets, deposits, loans, number of accounts are considered in network three-stage DEA model. The proposed NDEA model is formed based on multipliers perspective, output-oriented, and constant return to scale assumptions. The proposed NDEA model quantifies and assesses the total efficiency of main process and assigns the efficiency to customer expectations, customer satisfactions, and customer loyalties sub-processes in bank branches. The whole procedure is applied on 30 bank branches in IRAN. The proposed approach can be used in other organizations such as airports, airline agencies, urban transportation systems, railway organizations, chain stores, chain restaurants, public libraries, and entertainment centers.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.5
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• pp.557-562
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• 2009

Weapon system currently considers the research about effect analysis including cost effectiveness methodology for a budget management and an achievement of the military strategy goal. So that, this study considers the theoretical background, strength and weakness of several Multi-Criteria Decision Making, and an effect analysis of weapon system. And AHP(Analytic Hierarchy Process) is selected for the best effect analysis methodology of weapon system. Therefore, we applied AHP to the case study of the new generation Multiple Launcher Rocket System, performing the analysis of cost effectiveness methodology. Using AHP and cost effectiveness methodology, we propose the actual and proper decision making result.

• International Journal of Reliability and Applications
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• v.2 no.2
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• pp.137-146
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• 2001

In general, analysis of the decision problems in nuclear system management involves a simultaneous consideration of various criteria and decision alternatives. Sometimes, it is a complex, unstructured, ill-defined process incorporating the multi-criteria and the data of impreciseness. To cope with this analysis, a fuzzy hierarchical analysis methodology is proposed and demonstrated with a simple example.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.3
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• pp.45-53
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• 2000

Geographical Information Systems(GIS) overlay analyses, while ideal for performing spatial searches on nominally mapped criteria, are of limited use when multiple uncertian criteria are concerned. But, Multi-Criteria Evaluation(MCE) techniques offer a means of making complex siting decisions, involving multiple criteria. The integration of GIS and MCE techniques became rational and objective approach to perform land suitability analysis on the basis of multiple criteria. An example application based on the search for suitable sites for the collective facility area in the kimhae daechung park using IDRISI is described.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.1
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• pp.25-32
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• 2011

Under limited resources such as budgets and experts, it is essential to set promotion priorities for standardization work items on IPv6 (Internet Protocol version 6) multi-networking technologies. Opinions of domain experts are surveyed and analyzed utilizing a multi-criteria decision making tool, the Analytic Hierarchy Process (AHP). Weights of ten evaluation criteria are identified and applied to calculating importance degree of eight work items. According to descending order of importance degree, priorities of work items are determined. The processes and results of this study may provide not only an approach of setting promotion priorities for standardization work items but also a practical guide of implementing of a multi-criteria decision analysis.

• Nuclear Engineering and Technology
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• v.53 no.4
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• pp.1224-1235
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• 2021

An integrated waste management approach for irradiated graphite was developed during the European Commission project 'Treatment and Disposal of Irradiated Graphite and other Carbonaceous Waste'. This included the identification of potential options for the management of irradiated graphite, taking account of storage, retrieval, treatment and disposal methods. This paper describes how these options can be assessed using multi-criteria decision analysis (MCDA) for a case study relating to a generic power reactor. Criteria have been defined to account for safety, environmental, economic and socio-political factors, including radiological impact, resource usage, economic costs and risks. The impact of each option against each criterion has been assessed using data from the project and the wider literature. A linear additive approach has been used to convert the calculated impacts to scores. To account for the relative importance of the criteria, example weightings were allocated. This application has shown that MCDA approaches can be used to support complex decisions regarding irradiated graphite management, accounting for a wide range of criteria. Use of this approach by individual countries or organisations will need to account for the specific options, scores, weightings and constraints that apply, based on their national strategies, regulatory requirements and public acceptability.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.2
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• pp.82-90
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• 2015

Location selection of distribution centers is a crucial task for logistics operators and key decision makers of an organization. This is a multi-criteria decision making (MCDM) process which includes both quantitative and qualitative criteria. In order to propose an optimized location selection model, this research suggests a hierarchical group of evaluation criteria : 5 major criteria with 15 sub-criteria. The MCDM approach presented in this research, by integrating Grey Relational Analysis (GRA) with Analytic Hierarchy Process (AHP), tends to rectify the overall quality and uncertainty of the values of evaluation criteria. An example of a location selection case in Korea is illustrated in this study to show the effectiveness of this method.

• Journal of the Korea Safety Management & Science
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• v.14 no.2
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• pp.245-252
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• 2012

The biggest difficulty the small and small business currently face is not to have the effective cusomer management system that is the computerization of management. This suggests their will to introduce data marketing in order to differentiate 'Customer Marketing' and 'One to One Marketing'. The potential needs as well as visible needs of customer should be considered in order to research and analyze the customer data. At this point mayor enterprises are paying much attention to Customer Segmentation and their related markets are expanding rapidly. I'll give a brief introduction to the Multi Criteria Importance-Performance Analysis and go into the problems that should be considered and which phase to emphasize when building this system.