庫存空間受限下最佳存貨決策模式之探討 -- 以NY公司為例

The study of optimal inventory model for decision making under storage space constraint - A case study of NY company

蘇錦華(Su,Chinhua)

指導教授 ： 陳明德博士

國立中正大學/管理學院/企業管理學系/碩士(2012年)

摘要

經歷了2008年全球性金融風暴後，許多依賴大宗石化原料加工的企業受到存貨價值大幅降低的衝擊，導致當年度必須攤提存貨成本而減損了應有的經營效益。更印證了在企業經營管理中，存貨管理與決策必然是企業經營管理上相當重要的一環。
而且，近年來在相關的存貨管理研究報告中仍大多偏向於原物料存貨模式之研究與探討，因此，本研究企圖以企業在庫存空間受限下，基於種種長期經營面的考量，在建構自有儲放空間時有一定的限制，如何藉由管理科學方法與簡易的EXCEL VBA程式撰寫，提供適當的存貨政策以提升經營獲利並兼顧一定服務水準的顧客滿意度為研究面向，尋求存放空間限制下製品存貨儲存量的最佳解，以提供企業在面臨此種情形時有合理且有效的解決問題之依據。
最後，針對相關的存貨決策變數做敏感度分析，以各參數之增減變動對最佳解所造成之影響做彙總與相關之比較，本研究試圖考量在自有存放空間限制下，存貨儲存時的衰退(inventory decay)損失與依產品毛利高低選擇性提供線性規劃下服務水準的前提假設之下，建構最佳整合式存貨決策模式並尋求各類產品存放量的最佳解，以提供企業界在遇到此方面問題或困惑時，有合理的參考或依據。

關鍵字

存貨管理政策 ； 倉庫空間限制 ； 線性規劃 ； 系統模擬

並列摘要

After the global financial crisis of 2008, enterprises relying on the processing of petrochemical raw materials were affected because of significant reduction in inventory value. Consequently, cost of inventories had to be amortized and the operating efficiency suffered. This incident reflects the importance of inventory management and decision-making in the area of business management.
Moreover, in recent years, research reports related to inventory management still largely focus on the discussion of raw material inventory model. Therefore, this study is conducted under the premise that enterprise storage space is limited, and the construction of storage space may see certain restrictions based on long-term business considerations. By utilizing scientific methods in management and writing simple EXCEL VBA programs, this study will discuss how to devise appropriate inventory policies and improve profitability while maintaining a certain level of customer satisfaction. This study will further seek the optimal carrying inventory amount under the limitations of storage capacity, and provide a basis for reasonable and effective solution in the face of such limitations.
Finally, a sensitivity analysis is performed by varying inventory decision variables, where the effects on the optimal solution are compiled and compared. This study attempts to consider factors such as storage space constraints, inventory decay, and product gross margin in providing linear service quality. An optimal inventory decision model will be built to seek the most appropriate carrying amounts on all types of inventory, and provide a reasonable reference for the business communities to apply in their own problems or situations.

參考文獻

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