In this paper, RCM (Reliability Centered Maintenance) is used as a preventive maintenance method to propose a maintenance method for the test equipment managed in the laboratory. Test equipment managed in the laboratory, production facilities managed in the ordinary manufacturing industry, and plant facilities such as power plants have different characteristics. In the case of test equipment managed in the laboratory, the objective is basically to provide a over stress environment to the EUT. In this process, precise control of the stress environment is required, and since most of the imported equipment is used, it takes a long time to repair and reuse if a fault is found. Therefore, a preventive maintenance method suitable for the characteristics of the test equipment is needed. In this paper, we firstly prove the validity of this study through literature review of preventive maintenance and RCM. In order to apply RCM twice, RCM related standards were investigated and compared. Third, the results of this study are presented through case studies. The case study covered the HALT test equipment. We analyzed the structure and system of HALT test equipment and suggested LTA and decision roadmap. As a final conclusion, RCM based maintenance plan for each part was established.

As lean principles have been shown to be one of the most effective to get competitive advantages in manufacturing, almost every enterprise tries to apply lean principles in all functional departments. Although various quantitative and qualitative measures are used to assess the effectiveness of lean implementation in each functional department, a single composite measure would assist management in evaluating the leanness level of entire organization. In this paper, we develop a method to calculate a single integrated leanness index by integrating the every quantitative and qualitative lean measures used in various departments of an enterprise. This method takes into account the relative importance of each measure by pairwise comparison, and uses fuzzy logic to consider the fuzziness of lean attainment shown by each measure. The derived integrated index will make it easier to determine leanness level of a single organization as a whole and will facilitate comparison of lean achievement between different organizations. The developed procedure is applied on the case of a previously published paper (Cho et al. [3]) to show an example of calculating process.

The industrial structure of modern society consists of various fields, but still a large part is manufacturing based on large facilities. Therefore, various studies are being conducted to efficiently operate large facilities. Among other things, recent research on facility maintenance has evolved from Total Productive Maintenance (TPM), an enterprise-wide view of maintenance, to Reliability Centered Maintenance (RCM), a reliability-oriented maintenance method, and PHM (Prognostics and Health Management), which monitors the integrity of the facility and predicts failures to minimize maintenance-related Losses. However, research into the economic analysis of facilities is not yet active.
In this paper, the process of calculating the maintenance cost using the reliability block diagram (RBD) and analyzing the economic value of the facility is presented.

Removal of harmful factors is very important to prevent work-related musculoskeletal disorders (WMSDs). The purpose of this paper is to propose the effective method for reduction of the harmful factors and improved methods that prevents the workers from musculoskeletal risks in a prosthetics manufacturer and the same business field with similar manufacturing condition and process. A questionnaire were adopted to research the symptoms of workers' musculoskeletal disorders, and an ergonomic investigation methods such as quick exposure checklist (QEC), rapid upper limb assessment (RULA), lifting index equation (NLE), and ovako working-posture analysis system (OWAS) were performed to search out harmful factors of manufacturing place and working posture. Therefore, this paper proposes methods of ergonomic evaluation to reduce the harmful factors. The methodology proceeded in this paper could be helpful for evaluating of harmful factors in the prosthetics manufacturer and the same business field with similar working environments.

The recently manufacturing industry is developing rapidly with the development of various engineering technologies. Accordingly, manufacturing technology and manufacturing management technology are also developing. The most basic manufacturing management technique is Statistical Process Control (SPC). Among the various methods of SPC, the control chart is a method of statistically monitoring the quality characteristics of the process to determine the change of the process. The control chart basically assumes that the quality characteristic values follow a normal distribution. However, if the quality characteristics do not follow a normal distribution, there is a statistical error using the existing control chart method. In this paper, we study the method of designing CUSUM control chart using Box-Cox Transformation method when quality characteristic is non-normal distribution.

With the growth of research and development (R&D), the use of experimental equipment has increased continually in university research laboratories, enterprise institutes, and government research institutes, which caused an increase of experimental equipment accidents. The experimental equipment accidents can lead to safety and health problems among researchers in laboratories. Therefore, this study aimed to investigate the high-risk equipment in laboratories, to develop a safety manual for researchers, and to provide information to researchers to be educated of hazardous factors of given pieces of equipment. On the basis of this study, the researcher is to identify the hazardous points before using the equipment. In addition to, this study is expected to the development of policy concerning accident prevention of experimental equipment.

In this study, we extend the classical joint replenishment and delivery scheduling problem(JRD) to address dynamic demands. This problem is an integrative approach on one-warehouse and n-retailers system to determine the best joint replenishment schedules of the warehouse and the delivery schedules to each retailer. We develop and compare two mixed integer programming models to demonstrate the outcomes of integrated decision making of a warehouse. Various experiments confirm that the integrated system reduces total relevant costs. The results of this study demonstrate that vendor managed inventory can be an effective strategy for cost savings.

There have been a lot of large scale occurrences of fire when new buildings are being made, despite a fact that many people think there is no reason of fire occurrence at a new project. This is to study how to measure the occurrence risk of fire at a construction site especially when they work gas welding and cutting around plastic material piles.
Statistic analysis such as frequency analysis, cross analysis, correlation analysis are made to produce those elements which the goals of the study can be shown. Questionnaire survey sheets are made after considering factors shown in the previous introduction. workers' experience, work kinds, ages are the most important factors which they are considered for the study. Emergency lights, emergency brocast facility fire extinguishers are the highly rated by the workers for the questionnaire survey this time.

The purpose of this study is to identify factors influencing organizational socialization through the literature reviewed on the topic of organizational socialization of new college graduates in Korea. In order to achieve the purpose of the study, the influencing factors of organizational socialization were analyzed according to the procedure suggested by Torroco of 2005 after dividing influencing factors into three theoretical approaches, which are situational, personal, and interactional. The major findings are as follows. First, there are eight factors resulting from the situational approach: workplace learning(5), feedback(1), mentoring(1), high-performance working system(1), company characteristics(1), job environment, job characteristics(1), wage level(1), and boss(1). Second, there are nine factors according to personal approach: proactive personality(3), work value(3), career preparation behavior(2), employment preparation behavior(1), gratitude disposition(1), emotional intelligence(1), Job choice motivation(1), individualism-collective disposition(1), and job embeddedness(1). Finally, there were no studies conducted with an interactive approach. Studies which combined situational and personal approaches presented factors such as leading and superior peer support(1), personal and situational characteristics(1), job characteristics, and proactive behavior(1).