This papers focuses on remanufacturing processes in a closed loop supply chain. The remanufacturing processes is considered as one of the effective strategies for enterprises’ sustainability. For this reason, a lot of companies have attempted to apply remanufacturing related methods to their manufacturing processes. While many research studies focused on the return rate for remanufacturing parts as a control parameter, the relationship with demand certainties has been studied less comparatively. This paper considers a closed loop supply chain environment with remanufacturing processes, where highly fluctuating demands are embedded. While other research studies capture uncertainties using probability theories, highly fluctuating demands are modeled using a fuzzy logic based ambiguity based modeling framework. The previous studies on the remanufacturing have been limited in solving the actual supply chain management situation and issues by analyzing the various situations and variables constituting the supply chain model in a linear relationship. In order to overcome these limitations, this papers considers that the relationship between price and demand is nonlinear. In order to interpret the relationship between demand and price, a new price elasticity of demand is modeled using a fuzzy based nonlinear function and analyzed. This papers contributes to setup and to provide an effective price strategy reflecting highly demand uncertainties in the closed loop supply chain management with remanufacturing processes. Also, this papers present various procedures and analytical methods for constructing accurate parameter and membership functions that deal with extended uncertainty through fuzzy logic system based modeling rather than existing probability distribution based uncertainty modeling.

주택은 삶의 형태는 물론 인생의 철학이나 가치를 반영한 것이다. 또한 한 나라의 문화를 이해하려면 다른 나라의 문화도 이해 해야 한다. 이러한 점에서 한 중 일 아파트 평면의 비교는 큰 의미가 있다. 한국 , 중국 , 일본의 현대적 주거 특성을 비교하여 상대적인 정체성을 도출할 필요가 있는 것이다. 한국과 중국 그리고 일본의 경우 공통점을 공유하면서도 역사적으로 서로 다른 발전 과정을 거치면서 독자적인 주택형태를 발전시켜 왔다. 근대화 과정을 거치면서 급속한 인구증가에 따라 한국과 중국 일본이 함께 아파트가 대표적인 주거유형으로 자리 잡아 가고 있는 상황이다. 한국 중국 일본의 전통적인 공간의 개념으로 현대 사회의 아파트의 평면을 살펴 보았을 때 공통점과 차이점을 발견하고 공간을 구획함에 있어 이러한 환경이 모두 영향을 끼친다고 가정한다면 한국 중국 일본의 아파트 평면을 비교하려는 시도는 중요하다. 이번 연구에서도 전통 공간에 대한 이해방식의 하나의 사례를 선택하여 특성을 살펴 보았기 때문에 분석 결과를 일반화 하는데에는 한계가 있고, 특히 영토가 넓은 중국의 경우 다양한 아파트 평면이 나타나고 있음을 감안해 볼때 이와 같은 비교 작업의 경우는 의미가 약화될 수도 있지만,본 연구에 결과가 시사하는 바는 평면 특성의 일반화를 모색하기 보다는 앞으로 각국의 특성을 반영한 평면의 개발을 모색할 수 있는 출발점 내지 계기를 마련한다는 점에 그 의의를 찾을 수 있다.

The objectives of this study were to characterize the factors affecting exposure to the VOCs and NO2 in the vicinity of Gwangyang industrial complex. The VOCs and NO2 levels were measured for residents of an exposure group (industrial area within 5 km) and a control group (15 km farther), respectively using the VOCs and NO2 filter badge as a passive sampler from August to September 2006. The means of indoor, outdoor, workplace and personal exposure levels of benzene were 1.10 ppb, 0.94 ppb, 1.85 ppb and 2.35 ppb respectively in the exposure group. The means regarding toluene for the exposure group were 9.29 ppb indoor, 8.09 ppb outdoor, 14.5 ppb workplace, 14.2 ppb personal exposure. The means regarding ethylbenzene were 4.96 ppb(indoor), 4.45 ppb(outdoor), 6.84 ppb (workplace), 6.10 ppb(personal exposure), and the means regarding xylene were 0.10 ppb(indoor, outdoor), 0.18 ppb(workplace) 0.17 ppb(personal exposure). The means for the indoor, outdoor, workplace and personal exposure level of NO2 were 18.40 ppb, 18.51 ppb, 18.59 ppb, 18.80 ppb respectively in the exposure group. Correlations between personal exposures and workplace concentrations of individual VOCs and NO2 exposures, and each of the microenvironment was statistically significant.

This study develops a dynamic scheduling model for parallel machine scheduling problem based on genetic algorithm (GA). GA combined with discrete event simulation to minimize the makespan and verifies the effectiveness of the developed model. This research consists of two stages. In the first stage, work sequence will be generated using GA, and the second stage developed work schedule applied to a real work area to verify that it could be executed in real work environment and remove the overlapping work, which causes bottleneck and long lead time. If not, go back to the first stage and develop another schedule until satisfied. Small size problem was experimented and suggested a reasonable schedule within limited resources. As a result of this research, work efficiency is increased, cycle time is decreased, and due date is satisfied within existed resources.

A MOCS(Mobile Ondol heating Control System) is designed for the context-aware inference and the control of the device using mobile phone. The MOCS prepares indoor thermal environments and corresponds to the situation like resident’s coming home. Ondol Heater can be controlled as if the resident came home already. The MOCS adopts direct or indirect awareness of context in housing environment. In this research, it deals with the system making up with agent control module for the direct control and DBMS including the inference for the indirect control. Agent control module is made up of MainServer module for receiving control command and HomeAgent module that operates transmission and receiver by USN(Ubiquitous Sensor Network) device. DBMS consists of the event log data and the control log data including various databases. The structure of database has systemic information using the hierarchy of physical and electronic context for the inference. Furthermore, we suggest and implement what to provide, control and manage the home service in the mobile environment. Finally, it is expected to embody the ubiquitous housing and apply an ondol heating system communicating between human and home at anytime and in anyplace.