日正食品——存貨管理

Sunright Foods Corporation—Inventory Management

日正食品待解問題為AI數位轉型能否破除1/3產品效期魔咒？探討布局AI的生產模式轉型、銷售模式轉型，從存貨管理理論建立經濟訂購量（economic order quantity, EOQ）模型，分析計畫性生產的最適訂購數量，及需求量、前置時間確定，何時發出訂單；當未預期需求增加、前置時間延長或缺貨，應準備多少安全存量；比較計畫性生產、接單生產哪種可省更多成本；指出銷售模式通路管理轉型之影響。
研究發現若考慮EOQ時計畫性生產較優，若考慮採購、訂購、持有、缺貨、品質與機會成本時則接單生產較優。本文貢獻點出切勿認為接單生產只受EOQ決策模型引導，EOQ考慮取捨訂購和持有成本，而存貨管理還包含採購、缺貨、品質與機會成本。

The unsolved issue for Sunright Foods Corporation is: Whether AI digital transformation can break the 1/3 product shelf life curse? This study explores the transformation of production and sales strategy through AI deployment by establishing an economic order quantity (EOQ) model based on inventory management theory; deciding order timing based on optimal order quantity, demand quantity, and lead time; setting the inventory safety level to prepare for unexpected demand increases, lead time extensions, or shortages; comparing the cost-effectiveness of Make-to-stock and Make-to-order model; and pointing out the impact of the transformation of channel management.
The findings show that Make-to-stock strategy is preferable when considering EOQ, but Make-to-order strategy is more favourable when considering purchasing, ordering, holding, shortage, quality, and opportunity costs. This study emphasizes not to assume that Make-to-stock strategy is solely guided by the EOQ decision model since EOQ only considers trade-offs between ordering and holding costs, while inventory management also includes purchasing, shortage, quality, and opportunity costs.