全球化的競爭環境下，跨國企業之全球佈局勢須兼顧市場需求潛量與地域相關成本，此時供應鏈中之倉儲定址與存貨政策，即為企業決勝關鍵之一。本論文首先發展一個於產品價格持續遞減下之損耗性存貨模型，該模型針對二階供應鏈中，買方以多次訂貨來減少存貨而製造商又面臨一次性生產下，發展出一個最適補貨政策。此外，鑑於許多經銷商使用租賃倉來儲存超出自有倉容量的存貨，此兩種倉儲共用的方式可增加供應鏈內的營運彈性；因此，本論文進一步探討，在租賃商提供租賃價格遞減的激勵政策下，二階供應鏈中損耗性產品在不同倉儲結構中，利潤最大化的存貨管理模型。最後，本論文分析在需求不確定的情況下，倉儲選址、結構與損耗性產品之整合存貨政策。
本論文先提出一個簡單的梯度法用於求得在產能固定且一次性生產的情況下，最佳的生產規劃與存貨政策。考量租賃優惠的倉儲結構與存貨政策，以改良後的梯度法可有效率的求得最佳解。本論文亦提出一個由基因演算法和梯度法搭配而成的柔性求解法，用於求解在需求不確定的情況下，倉儲選址、結構與損耗性產品之存貨政策。數值例證和敏感度分析皆可驗證本論文所提出之模型及求解法，並揭露出一些有趣的管理意涵與重要之參數。
本論文研究營運策略之生產規劃與存貨政策和系統設計之倉儲選址與結構；於營運策略面，本論文之目標為求得製造商與經銷商之最佳生產規劃與存貨政策，於系統設計面，本論文主要在探討倉儲之選址與其之結構配置；本論文之模型能提供跨國企業佈局其全球經銷商之據點。

Due to rapid technological innovation and global competitiveness, firms often locate their markets and warehouses strategically to lower cost. In this dissertation, we firstly develop a deteriorating inventory model for the product experiencing continuous decrease in unit price. This inventory model proposes an efficient replenishment policy for a two-echelon supply chain in which the buyer conducts multiple orderings and the supplier performs one-time production. In addition, many distributors limit their own warehouse to a finite capacity for cost reduction, whereas excess stock is held in a rented warehouse. Alternative warehouses increase operational flexibility in a supply chain. This dissertation further investigates the inventory control for a two-echelon supply chain with deteriorating items under various warehouse configurations. Assuming there is a rental incentive policy offered by the rent warehouse manager allowing its rental fee to decrease over time, the aim to develop an inventory model to maximize the joint profit of the system. Furthermore, this dissertation also resolves the problem of the warehouse location decision for multiple markets and their configuration design against stochastic demands. Inventory policy for deteriorating items is determined for the corresponding warehouse configuration.
A simple gradient method is developed to derive the optimal solution for the production planning and inventory policy in one-time setup with fixed production rate. The optimal warehouse configuration with the inventory policy is efficiently solved by a constrained gradient-based method. A hybrid soft-computing solution algorithm constructed of a genetic algorithm and constrained gradient methods is proposed for solving the problem of the warehouse location and allocation against stochastic demands. Numerical examples and sensitivity analyses confirm the performances of the proposed models and algorithm, as well as reveal some interesting managerial implications and the impacts of the parameters.
In this study, we investigate the production planning and inventory policy as the operational strategy, as well as the warehouse location and allocation as the system design. With respect to the operational strategy in a supply chain, the goal of this dissertation is to derive the optimal production planning and the inventory policy for the manufacturer/supplier and the distributor/retailer. With respect to the system design, the goal of this dissertation is to deal with the location and allocation for alternative warehouse configurations. This dissertation provides international enterprises to make decision regarding global distributors arrangement.

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