隨著目前科技的進步，市場上有越來越多的智能裝置與智慧產品，這些產品的應用都要使用到關鍵零組件之一的鋰離子電池，從鋰離子電池的產品規格來看，可以說是智能產品的心臟一樣重要，在從客戶對於鋰離子電池的產品應用需求下，在不斷的創新與滿足使用者的需求下，對於鋰離子電池特性功能條件的要求也越來越高，隨著鋰離子電池的應用面越來越廣且複雜，為了符合市場對於鋰離子電池的應用條件需求，開發規格種類也越來越多樣，相對在公司的研發設計成本也會越來越高，如何從現有的產品規格設計特性面，排序選擇讓客戶使用最佳符合市場的應用產品，來降低鋰離子電池公司的開發成本，一直以來都是棘手的問題，本文將利用多屬性的決策方法，從現有生產的鋰離子電池產品規格容量、價格、特性功能、材料成本等屬性進行決策，來選擇比較符合客戶的需求產品，並可以大幅降低鋰離子電池在多種類開發產品的成本。
本研究將利用TOPSIS理想解偏好順序評估法，從目前量產產品規格來進行排序選擇適合客戶應用條件產品規格，並藉由公司決策者與各部門主管意見對於市場政策調查，將意見資訊彙整後再利用AHP層級分析法採兩兩比較的方式取得可以量化的權重值，再利用這些權重值來計算鋰離子電池相關屬性距離，來評估以現行規格產品最理想滿足客戶的需求產品，結果顯示排序選擇的產品規格不但可以讓客戶降低成本還可以延長保固時間，可以增加市場的競爭優勢。

Technology has been continuously developing over time. There are more and more smart mobile devices and smart products on the market. The key component used in the application of these products is the lithium ion battery. We reviewed the product specifications of lithium-ion batteries and the demand for products from customers using lithium-ion batteries. The requirements of the functional conditions of lithium-ion batteries are also increasing in order to match the market demand for its applications. Development specifications are also becoming more diverse relative to a company’s R&D design costs, which are becoming higher. So how about designing features from current product specifications? The options for customers to use the best market applications are ranked in order to reduce the development costs of lithium-ion battery companies. This research will make use of multi-attribute decision making methods to rank the specifications for the customers to select. Decisions are made based on properties such as capacity, price, special functions, and the material costs of existing lithium-ion battery products. Choosing from products that better meet the needs of customers may also reduce the cost of lithium-ion batteries in a variety of development products.
This study uses the TOPSIS solution evaluation method. Current mass production product specifications are ranked in order to meet customer applications through market policy investigations by company policy makers and department heads. The AHP analysis method is also used to obtain the quantifiable values of weights by means of comparison. These values of weight are used to calculate the relative property distance of the lithium-ion battery attributes. This is done by evaluating products that meet the needs of customers with current specifications. The results show that the product specifications of the ranking selection not only allow the customer to reduce costs but also to extend the warranty time and to increase the competitive advantage on the market.

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