外文翻譯--庫存的財務績效評價和管理(完整版)
【正文】 Throughout this section, we illustrate our results with numerical examples. Even thought we use the aforementioned four cases, we base our analysis on the actual cash inflows and cash outflows. The ordering decisions depend on the expected working capital when the payment for the orders is due. Throughout this section and for all cases, we do not base our ordering decisions in historical data. We use the product data for a HP printer, (h=,p=,c=,r= and α =) (Seifert et al., 2020) and consider product demand as Lognormal distributed with mean μ=100 and coefficient of variation CV= . A wide range of model parameters is examined. Based on our modeling framework, we employ a discreteimproving, local search approach, to simulate our system. The optimal solution derived from such an algorithm is sensitive to the initial solution. Yet, by considering various starting points and search directions, the algorithm bees more robust as it avoids local minima and ensures a solution close to the optimum solution. The time horizon of the simulation is set to 80 periods, which corresponds to the life cycle of a product. We simulate our system for 50 sample paths, which corresponds to a 90% confidence interval and absolute error b of , Law and Kelton (2020). 5. Conclusion The importance of financial supply chain management is increasingly recognized as an important factor to drive operation’s performance. In this paper we developed and analyzed a model that interrelates the operational and the financial aspects. We discussed the shortings of the current literature and the difficulties to derive the optimality of a base stock policy due to the nature of the problem at hand. We analyzed how the optimal solution depends on the characteristics of the supply chain and more specifically on the payment delays and the working capital constraints. We elaborated on the interrelation between operational and financial performance measures, such as inventory level, service level, return on investment, cash outflows and working capital requirements. Using our modeling framework, we also emphasized the shortings of disjoint performance target setting. 庫存的財務績效評價和管理 拉爾夫我們的研究結果表明，拖延付款的意義：在上游 /下游的延遲付款的增加 /減少有利于降低運營成本。這個新工具提高 GE 對現(xiàn)金流量需求及同時
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