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

• Main Authors: Su,Chinhua, 蘇錦華
• Other Authors: 陳明德博士
• Format: Others
• Language: zh-TW
• Published: 2012
• Online Access: http://ndltd.ncl.edu.tw/handle/89555809726221259815

碩士 === 國立中正大學 === 企業管理研究所 === 100 === 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.