蔬果箱方案(Box Scheme)是一種基於訂閱的方式向客戶配送農產品的新方式。 提供蔬果箱方案公司會預先決定在有限的空間中要運送的蔬菜和水果，這些蔬菜和水果由供應鏈中的農民合作夥伴提供給他們的訂戶。 蔬果箱生產商在面臨價格波動的同時，很難確定盒子的內容以確保消費者的滿意度。本研究將果蔬盒的內容選擇問題定義為 Multi Knapsack Problem with Setup (MKPS) 模型，以最大化公司的利潤為目標，並定義了由數量、品種、重量、營養內容和盒子類型組成的各種限制。該問題利用混合整數線性規劃法（Mixed Integer Linear Programming）進行公式化，並使用 LINGO 求解器求解。結果顯示，蔬果箱公司在應用營養政策時需要較高的成本。此外，增加農作物供應商可以通過分擔分配成本降低作物總成本。本研究也對參數進行了敏感性分析：分配成本、需求和盒子價格，以評估它們對利潤的影響。

Box schemes, commonly said as vegetable box, fruit box, or green basket, is a new method to deliver agriculture goods to customers based on the subscription. Box-scheme companies offer the pre-determined baskets containing vegetables and fruit which supplied from farmer partners in the supply chain to their subscribers. It is challenging for box scheme producers to determine the box's contents to ensure consumers' satisfaction while facing price fluctuation. This research defined the content selection problem for fruit-vegetable box as a Multi Knapsack Problem with Setup (MKPS) model to maximize the company’s profit. In this work, the various constraints consisting of quantity, variety, weight, and box type were defined. The mathematical model was formulated in Mixed Integer Linear Programming and solved using LINGO solver. The result shows that box companies need higher costs when the nutrient policy is applied, although it is intuitive. Moreover, increasing the number of farmers can decrease total crop costs with extract allocation costs. Sensitivity analysis was also conducted with parameter: allocation cost, demand, and box price to evaluate their impact on profit.

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