• The Journal of the Korea Contents Association
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• v.10 no.5
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• pp.351-359
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• 2010

Recently, interesting of U-city with ubiquitous computing technologies has increased and u-city services can improve people's quality of life. Among the u-city services, traffice service is actively developed in our lives. In this paper, we propose the business model and business model process in u-intelligence traffic service. To propose the research purpose, we examined the prior business model and investigated u-intelligence traffic information and control services. And also, we draw scenario and used it to identify business model. To efficiently understand proposed business model, we built business model process of u-intelligence traffic information and control services. The results of study, we draw 4 representative U-intelligence traffic information and control service. Based on representative services, we proposed business model and business model process with stakeholder, benefiter and value model. This study concludes with implications of the study results as well as limitations and future research directions.

• Journal of the Korea Safety Management & Science
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• v.17 no.1
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• pp.337-348
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• 2015

This research introduces the Financial Effect Measurement (FEM) models which measures both the improvement and the innovation performance of Quality Control Circle (QCC) and activities of Six Sigma. Concepts and principle of Comprehensive Income Statement (CIS), Balanced Scorecard (BSC), Time-Driven Activity Based-Costing (TDABC) and Total Productive Maintenance (TPM) are applied in order to develop the 4 FEM models presented in this paper. First of all, FEM using CIS depicts the improvement effects of production capacity and yield using relationships between demand and supply, and line balancing efficiency between bottleneck process and non-bottleneck processes. Secondly, cause-and-effect relation of Key Performance Indicator (KPI) is used to present Critical Success Factor (CSF) effects for QC Story 15 steps of QCC and DMAIC (Define, Measure, Analyze, Improve, and Control) of Six Sigma. The next is FEM model for service management innovation activities that uses TDABC to calculate the time-driven effect for improving the indirect activities according to the cost object. Lastly, FEM model for TPM activities presents the interpretation of improvement effect model of TPM Capital Expenditure (CAPEX) and Operating Expenditure (OPEX) maintenance using profit, cash and Economic Added Value (EVA) as metrics of enterprise values. To better understand and further investigate FEMs, recent cases on National Quality Circle Contest are used to evaluate new financial effect measurement developed in this paper.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2609-2626
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• 2023

The hotel industry is an example of experiential services. As consumers cannot fully evaluate the online review content and quality of their services before booking, they must rely on several online reviews to reduce their perceived risks. However, individuals face information overload owing to the explosion of online reviews. Therefore, consumer cognitive fluency is an individual's subjective experience of the difficulty in processing information. Information complexity influences the receiver's attitude, behavior, and purchase decisions. Individuals who cannot process complex information rely on the peripheral route, whereas those who can process more information prefer the central route. This study further discusses the influence of the complexity of review information on hotel ratings using online attraction review data retrieved from TripAdvisor.com. This study conducts a two-level empirical analysis to explore the factors that affect review value. First, in the Peripheral Route model, we introduce a negative binomial regression model to examine the impact of intuitive and straightforward information on hotel ratings. In the Central Route model, we use a Tobit regression model with expert reviews as moderator variables to analyze the impact of complex information on hotel ratings. According to the analysis, five-star and budget hotels have different effects on hotel ratings. These findings have immediate implications for hotel managers in terms of better identifying potentially valuable reviews.

• Journal of Information Technology Services
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• v.4 no.1
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• pp.149-160
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• 2005

Information system outsourcing induces firms to concentrate on the core competence and to improve business value by utilizing specialized information systems outsourcing vendors. However, for those strategic effects, the outsourced information systems should guarantee a certain service level. Now companies are considering to adopt SLA(Service Level Agreement) as a method to check the service level of the outsourced information systems in quantitative terms. On the contrary, customer satisfaction survey supports qualitative analysis, and helps companies to understand the qualitative effects on information system more systematically. Recently, the growing use of the internet makes customer satisfaction survey to be carried out on the web. For that reason, lots of researches related to web survey have been performed. But these researches are just focused on finding out only items to be measured and the effect of web survey. In this paper, based on the service quality research model for information system outsourcing, we formalize and propose a web survey process, a system architecture, and a functional structure for information system outsourcing customer satisfaction survey. Additionally, we provide the implementation results for the web survey systems.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.373-376
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• 1996

The design development, and production of a product is one of the greatest challenges which flexible manufacturing systems face today. No matter how a company refines and controls the manufacturing process, if the product is not properly designed, it will not operate correctly or performed well. Therefore the focus on quality of design must be balanced. One such strategy certain to address the managerial and manufacturing of the future is concurrent engineering. Concurrent engineering calls for the consideration and inclusion of product design attributes satisfying all the design constraints such as customer requirements. Furthermore, concurrent engineering has been recently promoted in many industries as a response to competitive marketing pressures. Viewed as a systematic approach of creating high quality products and bringing them to market at lower cost and in significantly less time, it also attracts the attention of quality designers. In this paperm a methodology and model for optimizing the product design, especially selection of optimal design alternative, is developed. The focus of this paper is on product design as the most critical activity of concurrent engineering. The model is based on the customer requirements for quality. Customer requirements for a certain product can be grouped based on the various design attributes. The design attributes have the priorities. The number of design functions. Design attributes value are calculated, however these values are applied to the optimization method. Numerical example will be illustrated.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.225-231
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• 2002

POSCO $\#2$ Stainless steel making plant produces more than 600 thousand ton per year with a variety of products consisting of austenite and ferrite stainless steel to meet custrmers' needs since 1996. The plant has four different major processes, that are, EAF-AOD-VOD-CC to finally produce semi-product called as slab. In this study, we importantly took AOD process into consideration due to its roles such as to check and verify the final qualities through sampling inspection. But the lead-time from sampling to its verification takes five to ten minutes causing produrtivity loss as muck as the lead-time as a result. Of all indices for quality and process control the plant has, carbon ingredient in liquid type of steel is the most important since it affects in a great way to the characteristics of steel, if any problem. customers not satisfied with quality could issue a claim; therefore there is no way hut to guarantee it before delivery. in this study, to reasonably reduce lead-time ran save a cycle time and finally improve our productivity from a state-or-art alternative just such as applying statistical model based on multi-regression analysis into the A.O.D line by analyzing the statistical and technical relationship between carbon and the relevant some vital independent variables. In consequence, the model with R-square $87\%$ allowed the plant to predict, abbreviating the process in relations to sampling to verification. approximately the value of [C] so that operators could run the process line with reliability on data automatically calculated instead of actual inspection. In the future, we are going to do the best to share this type of methodology with other processes, if possible, to apply into them.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.4
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• pp.91-100
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• 2018

The setting of values on door hinge mounting compensation for door assembly tolerance is a constant quality issue in vehicle production. Generally, heuristic methods are used in satisfying appropriate door gap and level difference, flushness to improve quality. However, these methods are influenced by the engineer's skills and working environment and result an increasement of development costs. In order to solve these problems, the system which suggests hinge mounting compensation value using CAE (Computer Aided Engineering) analysis is proposed in this study. A structural analysis model was constructed to predict the door gap and level difference, flushness through CAE based on CAD (Computer Aided Design) data. The deformations of 6-degrees of freedom which can occur in real vehicle doors was considered using a stiffness model which utilize an analysis model. The analysis model was verified using 3D scanning of real vehicle door hinge deformation. Then, system model which applying the structural analysis model suggested the final adjustment amount of the hinge mounting to obtain the target door gap and the level difference by inputting the measured value. The proposed system was validated using the simulation and showed a reliability in vehicle hinge mounting compensation process. This study suggests the possibility of using the CAE analysis for setting values of hinge mounting compensation in actual vehicle production.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.2
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• pp.90-99
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• 2017

As the importance of R&D has increased, there have been various efforts to apply the quality management principles and tools to R&D activities in order to manage them effectively. The R&D sector differs from other value chains, so it may be difficult to apply quality management without proper considerations of R&D characteristics. This study describes the characteristics of R&D as high uncertainty and risk, diversity of R&D types, project-based activities, importance of strategic goals and business models, and importance of intangible assets. Three well accepted R&D quality management models are reviewed and implications for quality management and R&D characteristics are summarized. Based on these findings, the management targets of R&D quality management are classified into management level (organization, project) and management focus (process, output), and the contexts of R&D quality management are classified into R&D type (research, development) and market/customer requirement clarity (fluid, specific), and appropriate R&D quality management activities in each situations have been suggested.

• Journal of the Korea Safety Management & Science
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• v.17 no.3
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• pp.221-229
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• 2015

The economy is advancing at quite a bit is the role of the Distribution Center, a rise is evolving and mullyuryang Any existing storage facilities were not creating added value from contact with the customer service centers play the role. In order to increase its market competitiveness also pl approach to three in order to enforce cost savings and run. But by industry, the goods, operating characteristics of the cooperating in order to differentiate themselves with the operating process of improvement of operating system, including costs and took lots of time of service.Quality is lower ; all were missing. Such logistics centers, standard management model to address a little bit problem with highest academic. I want to try send it to, each product-category's industrial and business forms, standardisation is really a difficult situation, current study is further progress all you if you are The process managed to turn component is sure that we will be able to be judged.

• Journal of Institute of Control, Robotics and Systems
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• v.4 no.6
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• pp.802-810
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• 1998

The purpose of this study is to find the analytic solution of determining the optimal capacity of processes and storages to meet the product demand. Recent trend to reduce product delivery time and to provide high quality product to customer requires the increasing capacity of storage facilities. However, the cost of constructing and operating storage facilities is becoming substantial because of increasing land value, environmental and safety concern. Therefore, reasonable decision making about the capacity of processes and storages is important subject for industries. The industrial solution for this subject is to use the classical economic lot sizing method, EOQ(Economic Order Quantity) model, trimmed with practical experience but the unrealistic assumption of EOQ model is not suitable for the chemical plant design with highly interlinked processes and storages. This study, a first systematic attempt for this subject, clearly overcomes the limitation of classical lot sizing method. The superstructure of the plant consists of the network of serially and/or parallelly interlinked processes and storages. A novel production and inventory analysis method, PSW(Periodic Square Wave) model, is applied. The objective function of optimization is minimizing the total cost composed of setup and inventory holding cost. The advantage of PSW model comes from the fact that the model provide a set of simple analytic solution in spite of realistic description of material flow between process and storage. The resulting simple analytic solution can greatly enhance the proper and quick investment decision for the preliminary plant design confronting diverse economic situation.