• 한국터널지하공간학회 논문집
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• 제19권3호
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• pp.437-447
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• 2017

현재 도시형태나 규모, 주변 도로기능이나 공동구 건설형식에 따른 타당성 및 경제성 평가 방법, 공동구내 수용시설물의 최적 배치 등을 고려한 공동구 설계 평가모델은 개발되어 있지 않다. 이에 본 연구에서는 도심지 공동구 도입결정과 도입 결정 이후 적용할 수 있는 공동구 최적 설계를 위한 평가모델을 개발하였다. 이를 위해 본 논문에서는 여러 개의 의사결정 방법 중 다양한 분야에서 사용되고 있으며, 직선의 방식이 아닌 순환의 방식이 적용 가능한 데밍사이클(Deming cycle)을 선정하였다. 공동구 도입과 설계시 다양한 인자의 반영을 위하여 11개의 상위지표를 설정하여 보다 구체적인 접근을 유도하였다. 또한 Plan-Do-Check-Action(PDCA)의 순환 방식을 기반으로 1차 구상단계, 2차 최적화 단계를 통한 공동구 도입과 설계를 보다 효율적으로 구현할 수 있도록 하였으며, 이를 위한 최적화 평가 프로그램을 개발하였다.

• Journal of Information Processing Systems
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• 제13권5호
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• pp.1320-1330
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• 2017

Wireless sensor networks for forest monitoring are typically deployed in fields in which manual intervention cannot be easily accessed. An interesting approach to extending the lifetime of sensor nodes is the use of energy harvested from the environment. Design constraints are application-dependent and based on the monitored environment in which the energy harvesting takes place. To reduce energy consumption, we designed a power management scheme that combines dynamic duty cycle scheduling at the network layer to plan node duty time. The dynamic duty cycle scheduling is realized based on a tier structure in which the network is concentrically organized around the sink node. In addition, the multi-paths preserved in the tier structure can be used to deliver residual packets when a path failure occurs. Experimental results show that the proposed method has a better performance.

• 농촌계획
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• 제19권2호
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• pp.139-148
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• 2013

This study verified for the necessity for the comprehensive analysis of outcomes resulting from the local industry promotion project in many respects. To analyze the operation planning for performance management of local industry promotion project, this study redesigns the so-called PDCA(Plan${\rightarrow}$Do${\rightarrow}$Check${\rightarrow}$Act) model which is also known as Deming Cycle and verifies some hypotheses. To accomplish study purposes, 169 response samples from 85 project groups which drive the local industry promotion project were verified using SPSS 12.0. The findings are as follows: First, there was a positive relationship between the planing phase and the implementation phase. Second, there was also a positive relationship between the implementation phase and completion of the project phase. Third, there was a positive relationship between the planing phase and completion of the project phase. Finally, the implementation phase was a partial mediator on the relationship between the planing phase and completion of the project phase. Based on these findings, the implications and the limitations of the research findings were discussed, and recommendations for future research were provided.

• 품질경영학회지
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• 제26권3호
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• pp.100-107
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• 1998

To evaluate the total quality activities is the most fundamental and critical process as one of the PDCA cycle. The quality award criteria such as Malcolm Baldrige National Quality Award and Deming Award can be a, pp.ied to the guideline for evaluating quality activities. We can identify several important factors for TQM by referring quality award criteria, but they don't suggest how efficiently implement TQM. In this paper, two methodologies are a, pp.ied to evaluate the TQM activities comparatively. One of them is the traditional scoring system (TSS) by analytic hierarchy process (AHP). TSS is the system which evaluates the performance of TQM by the weighted sum of critical success factors. Several quality award system are typical examples of TSS. The other is the efficiency measuring system (EMS) by data envelop analysis (DEA). DEA outperformed other alternative methods to measure the efficiency and it can be a, pp.ied to evaluate the TQM activities. The evaluation system by DEA can be named as EMS. The objective of this paper is to suggest a model called TAE (Total quality management Activities Evaluation), for evaluating TQM activities. In this model TQM organizations are classified into four types by considering TSS and EMS. Those types are high weighted sum and high efficiency type, high weighted sum and low efficiency type, low weighted sum and high efficiency type, and low weighted sum and low efficiency type. Therefore TQM organizations must not only make efforts to get the higher scores in terms of TSS, but also take necessary steps to enhance their efficiencies.