A Case Study of The Young Hospital''s Material Inventory Management

碩士 === 國立臺灣科技大學 === 工業管理系 === 88 === The purpose of this study is to establish the practical material management model and to validate this model in the new hospital. It analyzes the literatures about the hospital material management and the operation flow and the status of material manag...

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Bibliographic Details
Main Authors: Tsai Chung Yi, 蔡忠彞
Other Authors: Lee Yung Hui
Format: Others
Language:zh-TW
Published: 2000
Online Access:http://ndltd.ncl.edu.tw/handle/22764055985155765714
Description
Summary:碩士 === 國立臺灣科技大學 === 工業管理系 === 88 === The purpose of this study is to establish the practical material management model and to validate this model in the new hospital. It analyzes the literatures about the hospital material management and the operation flow and the status of material management are realized in this case. The development of the hospital material management model is discussed, and the feasible material management model is found for the case. The ABC analysis and the fixed order period system that is used in the different classification of the material management model. The analysis of regression is used to forecast the material consumption of each department. Let the material control model is more flexible. The central store implement the A classification of the model to management material for one month. After one month, the average total inventory cost (=ordering cost + carrying cost) of the months is comprised with before implementing the mode. The paired T-test is applied in the comparison. Besides, predict residual is used to build the mean, upper and lower control limits with four months data. Then, we check and ensure predict residual of the fifth and sixth month’s data fall between the mean plus or minus 2 sigma. There were sufficient evidences to prove that after the case implementing A classification of the model of the study, the total inventory cost is decreased to 55%. In addition, we found that the most of predictive residuals of the fifth and sixth month’s data fall between the mean plus or minus 2 sigma. Thus, based on the results, the material management model of the study could improve the new hospital material management.