http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
고현우 서경대학교 1996 論文集 Vol.24 No.-
This article considers the problem of TPM activitities under the autuomated production systems. The productive maintenance(PM), which is popular in the western industrial countries for the rationalization and automation of mass production, and the total productive maintenance(TPM), which the japanese industries adopt as a tool for the development of flexible manufacturing system for the small lot diverse product are modeled here. This study tries to supply the right information on the maintenance improvement activities and to come up with a basic purpose system for a new maintenance policy which could realize the zero breakdown and a perfect.
고현우,이용철,이양근,이동근 의과학연구소 1996 全北醫大論文集 Vol.20 No.2
Neurilemmoma, also called schwannoma, neurinoma and perineural fibroblastoma is a rare benign tomor orginated from the schwann cell of nerve sheath. They occur commonly at 20-50 aged person and involved the head and neck and flexor surface of the extremity. Histologically, they are characterized by Antoni A and Antoni B tissue composed of high and low cellularity. Primary neurilemmoma involved in chest wall is very rare and have not been reported previously. We experienced chest wall neurilemmoma in a 72 year old man. The pulmonary radiology showed the mass in the chest wall, and percutaneous transthoracic needle lung biopsy was performed to confirm the schwannoma.
고현우 서경대학교 1995 論文集 Vol.23 No.2
In this paper, considering potential, new equipment with different technology levels four dynamic equipment replacement models are proposed, and corresponding optimal solutions for replacement time and equipment are given. The four proposed models are classified in accordance with the technology levels and the presence of new equipment at the beginning of decision. These models are then formulated by dynamic programming considering costs, and the appearance of new equipment. This study presents solution procedures that suggest optimal replacement time and equipment while minimizing the total cost incurred by equipment replacement. To effectively find optimal age of current equipment. Finally, numerical examples for each model are given and their results are analyzed.