2020 年的 COVID-19 疫情影響了全世界的供應鏈，加上中美貿易戰，許多產業面臨供應鏈中斷的問題，而由於大多數與醫療無關的市場緊縮，與醫療相關的市場又需緊急訂單，企業面臨客戶大量的棄單與追單。在我國扮演重要角色之功能性紡織業是受到影響很大的製造業之一，根據國際紡聯發布的調查報告中顯示：由於 COVID-19 疫情的影響，2020 年 3 月份到 6 月份，全球取消和推遲的訂單數量從 8%升至 42%，而營業額與 2019 年相比從下降 10.5%到下降32%。由於市場需求驟變，進而使品牌客戶經常更改或取消訂單，導致大量的存貨及呆料。
針對紡織產業中附加價值最高的功能性紡織業，本研究提出一套軟訂單之動態生產規劃模式以因應瞬息萬變的市場環境，期望能夠解決客戶時常下達不切實際之軟訂單以保證其產品充足供應的不良行為，此模式包括二模組，分別是軟訂單模組與動態訂單生產決策模組。軟訂單模組結合偏好順序技術法(TOPSIS)與合約設計，主要考量客戶的過去信用及未來可能受到的影響等，目的是為客戶做分類排名，來決定其所下訂單中有多少數量屬於基本量要優先生產，有多少數量屬於彈性量並視情況給予緊急追加。動態訂單生產決策模組則以最小最大遺憾值演算法(Minimax)為基礎，當面對內外在環境變動之下，即時進行動態決策，以決定對該客戶訂單要繼續生產/減少生產量/停止生產，避免更多的損失。最後，本研究將透過國內一紡織集團蒐集實證資料，並以 Microsoft Excel 與 Microsoft Visual Basic Application 軟體進行模擬，並與紡織業常用之最早到期日法進行產品庫存量比較，結果顯示，本研究所提出之軟訂單模組與動態決策模組皆能夠有效降低庫存量，而本研究之成果亦可協助紡織業者在疫情肆虐之下，以系統化方法達到提高客戶滿意度與降低庫存成本之平衡。

The COVID-19 epidemic has been affecting the supply chains all over the world since the beginning of 2020. Many industries are facing supply chain interruptions. The functional textile industry has the highest added value in the textile industry, however, it is also a manufacturing industry that has been severely affected by the COVID-19 pandemic. Due to the sudden change in market demand, brand customers have changed or cancelled orders, and enterprises are facing large number of cancellations and are chasing after orders, resulting in excess inventory and un-used raw materials. Based on this dilemma, in this study, a production planning system is proposed to cope with the rapidly changing market environment. Taking a functional textile company in Taiwan as an example, an attempt is made to resolve the excess inventory due to the practices of the customers, which frequently placing unrealistically large soft orders, and to ensure a sufficient product supply. The system includes two modules: a soft order module and a dynamic decision module. After collecting relevant production information, the total inventory is compared with the earliest due date method through a simulation system. The results show that the proposed system in this study can effectively reduce the inventory for the company. Furthermore, the proposed system in this study could also provide other textile manufacturers to achieve a balance between improving customer satisfaction and reducing inventory using a systematic method.

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