新產品在上市前，企業必須決定產品的供應鏈存貨策略。在缺乏準確的市場需求與供應商供貨可靠度的環境下，以統計為基礎的存貨模式，因缺乏準確資訊，而難以應用在決定新產品的供應鏈存貨策略。但在面對市場需求的不確定性環境下，企業仍必須訂定因應的供應鏈存貨策略。本研究應用模糊理論來描述不確定的市場需求及供貨可靠度，並基於聯合訂貨（joint replenishment）及定期盤點（periodic review）的存貨模式，在多階層無迴圈（acyclic）網狀供應鏈中，考量長鞭效應的影響之下，訂定生產加工處（production facility）內存貨點的存貨上限（order-up-to level）組合。此外本研究建構供應鏈成本評估演算法，評估產能限制下供應鏈存貨成本，並結合基因演算法（genetic algorithm）尋找成本最小化的存貨策略。

Managing a supply chins is very difficult, since complex interrelationships at various levels between various entities and uncertainties exist in the supply chain. The objective of this paper is to determine the optimal inventory strategy for the new product supply chain. Since there may be no historical data available for these products, fuzzy set theory is used to represent the uncertain customer demands and unreliable supply delivery. An algorithm is developed to estimate the total inventory cost of the entire supply chain, according to a set of order-up-to-levels for stock-keeping units on the supply chain. Genetic algorithm is applied to determine the optimal set of order-up-to levels that minimize the total supply chain inventory cost. An example is used to illustrate the concept developed.