The Study of Management Pattern on Maintenance Components in Warehouse―Take the Main Storehouse as an Case study

碩士 === 國立雲林科技大學 === 工業工程與管理研究所碩士班 === 96 === In the early time, the manage pattern for ten thousands materials and components stored in warehouse relied on the manpower management. The four principles have to be taken as the rules; the materials and components stored in storehouse should be correct...

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Bibliographic Details
Main Authors: Tau Wu, 吳濤
Other Authors: Neng-Shu Yang
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/767tnm
Description
Summary:碩士 === 國立雲林科技大學 === 工業工程與管理研究所碩士班 === 96 === In the early time, the manage pattern for ten thousands materials and components stored in warehouse relied on the manpower management. The four principles have to be taken as the rules; the materials and components stored in storehouse should be correct in quantity, quality, items, and easy to access location. All materials and components were sorted out and stored by the “Fixed locator-identification” method. However, above storage principles seems to become obstacles to the prompt material receipt and distribution in a warehouse. Each component having different turnover rate was stored in the pre-planed location, as a result, the low turnover component may be located close to exit, or the high turnover one is stored away from the exit. Both cases dramatically decrease the efficiency of moving activities which are essential in a warehouse. In this research, five warehouse, and 300,000 data were examined first, and 30 samples in one of the warehouses were selected to apply the new method which allocate the component according to their turnover rate. The adjustment reduced the moving distance by 93.331%. Therefore, this research suggests that 5 warehouses should be classified first to accommodate components according to the turnover rate, and the component location in each warehouse should be flexibly adjusted so as to match its turnover rate. The saving of moving distance shall then impact on the warehouse operation efficiency.