本研究以長期醫療機構─晉生醫院作為實證研究對象，主要針對存、訂貨規劃機制作為研究課題，期望在不改變現有硬體架構之前提下，尋求出存、訂貨規劃之最佳化結果以建立競爭優勢。
透過本研究除了瞭解長期照護機構之物流管理特性與型態外，本研究期望建構一存訂貨管理機制，以模擬方法改善原有供應商與機構間之物流管理，並求得導入存、訂貨改善策略下最小成本之績效表現。
在質化研究部分，本研究透過實地訪查長期醫療機構─晉生醫院了解相關產業面向以及供給面與需求面之相關歷史資訊，在需求面上，透過訪談獲得各品項每月需求消耗量，作為模擬期間之需求量資料。供給面方面，本研究將改善方案導入存、訂貨機制之模擬，利用Microsoft Excel與C++程式語言所建構之模擬器進行模擬。
量化部份模擬主要分為兩部份，Phase1針對各品項模擬求得相對應之安全存貨比率，並將該結果導入Phase2作為主要模擬之基礎。Phase2部份本研究假設各供應批量折扣情境，成為model1~mode24共24種模式。在進行24個月之模擬過程後，求得各模式相對應之訂貨比例與成本，進而求得各產品項目在個種模擬情境下之最小訂貨成本與相對應訂貨比例，進而降低原機構各品項之存、訂貨成本。

Research shows an empirical study on the long-term care heath center:Jin-shen hospital. The study concerns about the investment and order planning mechanism. It hopes that we could find the optimization approach to investment and order planning under the hardware before.

Through the study we could know the factors and styles of logistic management in the long-term care health center. The study hopes to build a investment and order management mechanism. It improves the logistic management between suppliers and centers by simulation. It will get the performance that has lowest cost under improving strategy.

About the quality research, the study has a field study for the center:Jin-shen hospital about the related history data on the demand and supply. First on the demand, it gets all product items’demands per month by interview to be the history data. On the supply, the study leads the improve strategy in the simulation about investment and order mechanism. We use the Microsoft Excel and C++ to build a simulated machine.

The quantity research was divided in two parts. Phase 1 gets the safety investment ratios about all product items and we’ll lead the ratios in the phase 2. The study hypothesizes lots discount conditions about all product items. It includes 24 kinds of model1 to model24. After 24 months simulation, we got the order probabilities and cost about all models. Overall, the study could get the lowest cost and order probabilities under all kinds of models, and we could cost down all product items’ investment and order.

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