• 한국항만경제학회지
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• 제22권1호
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• pp.87-103
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• 2006

The aim of this paper is to establish the evaluation system of improving urban logistics using the QFD(Quality function Deployment) model which can facilitate to grasp the improving degree of realizing the system conforming to the relationship of all process and the process improvement. At the first stage, the established system through the QFD method will be used to evaluate and diagnosis the level of urban logistics in Cheonbuk District. The second stage is to investigate the important components that can make prompt improvement of urban logistics. Then, the sensitivity analysis is to be performed and the degree of improving urban logistics will be presented according to the rising degree of the relevant components.

• Asia pacific journal of information systems
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• 제8권1호
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• pp.27-42
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• 1998

In a competitive environment, selecting and effectively pursing the right information system investments can be a key factor in sustaining corporate viability and prosperity. This study applies quality function deployment(QFD) to the determination of information system development priority. The intent of QFD is to incorporate the needs of a customer through the various stages of product planning and manufacturing into a final product. The basic idea of our study is to translate the core competence and the competitive environment into the business strategy, and the critical success factors, and subsequently into information system development priority. Our method is applied to a motor company for the determination of the information system development priority. The company case is illustrated step by step with real data of the company and motor market.

• 전기학회논문지
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• 제63권2호
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• pp.217-223
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• 2014

Recently, various researches and projects about electric vehicles are in progress vigorously and continuously and it is expected to penetrate rapidly with the next a few years. This deployment will cause the change of load composition rate affecting on power system planning and operations. Therefore, a new load model should be developed integrating with electric vehicle loads. In this paper, the load composition rate of residential sectors is analyzed considering the deployment of this mobility load such as electric vehicles and a new diffusion model is proposed based on the classification of the replacement patterns. Additionally, electric vehicle charging loads are basically modeled by some individual load experiments to develop new load models for smart place and some new conceptual power systems such as micro grids.

• 한국자동차공학회논문집
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• 제11권2호
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• pp.148-156
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• 2003

Many car manufacturers have frequently adopted an aggressive inflator and a lower threshold speed for airbag deployment in order to meet an injury requirement for unbolted occupant at high speed crash test. Consequently, today's occupant safety restraint system has a weakness due to an airbag induced injury at low speed crash event. This paper proposes a new crash algorithm to improve the weakness by suppressing airbag deployment at low speed crash event in case of belted condition. The proposed algorithm consists of two major blocks-crash severity algorithm and deployment logic block. The first block decides crash severity with two levels by means of velocity and crash energy calculation from acceleration signal. The second block implemented by simple AND/OR logic combines the crash severity level and seat belt status information to generate firing commands for airbag and belt pretensioner. Furthermore, it can be extended to adopt additional sensor information from passenger presence detection sensor and safing sensor. A simulation using real crash data for a 1,800cc passenger vehicle has been conducted to verify the performance of proposed algorithm.

• 한국안전학회지
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• 제38권1호
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• pp.87-92
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• 2023

The number of unmanned light rail train operators is continuously increasing in Korea. In a failure event during an operation due to the nature of the unmanned operation, recovery is performed based on the remote control. However, if remote recovery is not feasible, safety personnel arrive at the train to resume the train operation. There are regulations on safety personnel and the suspension time of the train operation. However, there is currently no rule for safety personnel deployment. Currently, railway operating organizations operate in three scenarios: safety personnel on board trains, stationed at stations, and deployed at major stations. Four major factors influence the downtime for each emergency response scenario. However, these four influencing factors vary too much to predict results with simple calculations. In this study, four influencing factors were considered as random variables with high uncertainty. In addition, the Monte Carlo method was applied to each scenario for the safety personnel deployment to predict train service downtime. This study found a 17% difference in train service suspension by safety personnel deployment scenario. The results of this study can be used in setting service goals, such as standards for future safety personnel placement and frequency of service interruptions.

• 대한안전경영과학회지
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• 제6권1호
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• pp.147-155
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• 2004

The goal of this paper is to offer a quantitative decision model using Quality Function Deployment(QFD). We consider the factors outsourcing that affect the benefits of the organization and the fifth alternatives that were selected to be considered for outsourcing as customer requirements and technical attributes in QFD. For selecting the outsourcing system, we compute the priority considering interdependencies among alternatives. Thus this paper propose a decision model, which uses the quality function deployment to help practitioners set priority and users in structuring the outsourcing problems.

• 해양환경안전학회:학술대회논문집
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• 해양환경안전학회 2017년도 추계학술발표회
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• pp.141-141
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• 2017

• 소음진동
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• 제11권1호
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• pp.111-117
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• 2001

Present work deals with a study on the deployment or retraction of cantilever beam that includes the rigid-body motion of large displacement of beam through the translational and rotational motions in 2-dimensional plane. The equations of motion are derived with respect to non-Cartesian coordinate system. In the formulation of equations of motion, shear deformations and geometrically non-linear effect are included. An assumed mode method is applied and numerical convergence characteristics are studied also. Types of motion of the moving beam are assumed to be classified as‘slow’or‘fast’motion, and the dynamic characteristics are investigated.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권8호
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• pp.2959-2973
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• 2021

In wireless sensor and actuator networks (WSANs), the network lifetime is an important criterion to measure the performance of the WSAN system. Generally, the network lifetime is mainly affected by the energy of sensors. However, the energy of sensors is limited, and the batteries of sensors cannot be replaced and charged. So, it is crucial to make energy consumption efficient. WSAN introduces multiple actuators that can be regarded as multiple collectors to gather data from their respective surrounding sensors. But how to deploy actuators to reduce the energy consumption of sensors and increase the manageability of the network is an important challenge. This research optimizes actuators deployment by a proposed probabilistic mutation multi-layer particle swarm optimization algorithm to maximize the coverage of actuators to sensors and reduce the energy consumption of sensors. Simulation results show that this method is effective for improving the coverage rate and reducing the energy consumption.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.1075-1080
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• 2009

Recently, the building construction industry has been forced to cope with lack of skilled labor. A robot-based construction automation system should help overcome crucial troubles which may be caused by this phenomenon. In particular, it is vital to propose design for automation (DFA). Quality function deployment (QFD) is applied a systematic aid in determining the design reflecting customer's needs. This study employs the QFD approach to plan the component designs of an effective automation process, and presents the development process of DFA with an illustrative project. As a result, the study identifies the developers' design requirements for automated construction and weights them by their importance indices.