植物工廠是一種新式的農作物生產方式，透過對生產環境因素如溫度、溼度、光線、水分及營養物的完全控制，加速植物生長的效能及提升作物品質。雖然植物工廠作物生產有著不少優點，但由於大量的能源消耗，使得植物工廠的營運成本居高不下。因此，如何選擇適合的作物並進行產能的規劃排程以提升植物工廠的營利，成為植物工廠經營的重要課題。本研究針對數個影響植物工廠營運的因子，如農作物的價格、客戶之合約訂單、及作物生產條件限制，進行農作物排程規劃。在本研究中，農作物排程問題以混合整數規劃法制定為一最佳化模式問題。利用整數規劃法將極大化整體營收作為目標式，並將數個考慮因子制定為限制式。其排程問題利用Cplex之分枝界限演算法（branch-and-bound algorithms）求解。所提出的排程最佳化模式將可廣泛地運用於求解植物工廠之作物排程問題。

A plant factory is a crop production facility in which all the environmental elements such as temperature, humidity, lighting, and nutrition for plant growth are artificially controlled. The operating cost of plant factories is usually high due to intensive energy consumption. It is crucial to choose appropriate crops for cultivation at proper time for revenue maximization. In this research, we propose a crop scheduling approach for plant factories. The proposed approach considers several factors which impacts the revenue of running plant factory, such as crop price fluctuation, crop contracting supply between plant factories and retailers, and operating setup for crop cultivation. The crop scheduling is formulated as a mixed integer programming problem and is solved using branch-and-bound algorithms. The proposed approach can be incorporated into any plant factory to increase its production and revenue.

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