标题: 利用库存管理游戏进行不同补货策略之比较
Comparing different replenishment strategies by using inventory management game
作者: 张育升
Zhang, Yu-Sheng
李荣贵
彭德保
Li, Rong-Kwei
Perng, Der-Baau
工业工程与管理学系
关键字: 补货策略;限制理论;需求拉动模式;库存管理;Replenishment strategy;TOC;Demand-pull;Inventory management
公开日期: 2010
摘要: 传统存货策略在操作上大都以最小化系统总成本为目的,然而库存管理除了最小化总成本外,也必须努力降低缺货所造成的损失,此乃TOC限制理论Demand-Pull所提倡的概念。本文首先以不同存货策略的概念使用Minitab常态随机数据(25笔,每笔数据52周),利用库存管理游戏在需求变动的环境下进行模拟,并收集数据分析,由于存货策略的绩效表现是使用存货策略各自的操作模式进行模拟,无法明确的指出哪一种存货策略绩效表现为最好;进一步尝试将各项存货策略在相同条件的模拟情境下进行分析比较,因此使用相同的期初库存水准并固定订购次数,分别比较TOC限制理论Demand Pull补货策略与传统存货策略的平均库存量、缺货次数与库存周转率,尝试证明以TOC的 Demand-Pull补货策略为概念进行存货管理,努力减少缺货次数,在各项绩效表现上都能比以传统存货概念进行管理更加优秀与稳健。
Traditional inventory policies mostly try to minimize the total cost in operation for the purpose, except for minimizing the total cost in operation, it also must strive to reduce the losses caused by shortages in the inventory management, and this is TOC’s Demand-Pull concept advocated.
First, we use Minitab normal random data (25 items, 52 weeks per data) with the concept of different inventory strategies to run simulation in a changeable demand environment, and we collect the data after simulation for analysis. Because every inventory strategy uses their mode of operation for simulation, it’s difficult to point out which kind of performance is better.
To go a step further, we attempt to put the inventory policies in the same conditions , giving them same level of beginning stocks and fixing order frequency to analyze their performance. Our study tries to prove that using the concept of TOC Demand-Pull replenishment strategy for the inventory management, and aims to reduce the number of out of stock could have a more excellent and stable performance than using the traditional inventory policies.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT079733533
http://hdl.handle.net/11536/45440
显示于类别:Thesis


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