隨著科技的發展，物聯網中的產品逐漸從傳統實體產品轉變成智慧連網產品。產品的功能帶動了智慧連網產品的發展趨勢，功能較好的產品必會提高其價格。當產品的功能超出顧客所預期的價值，顧客可能不太願意支付其功能衍生出的額外成本。因此，本研究假設產品需求將會隨著其價格下降以及其智慧程度上升而提升。實務上，供應商時常會提供信用交易(亦即延遲付款)給製造商與顧客，以吸引更多的銷售量。在智慧連網產品，信用交易會顯得特別重要，因其降低智慧連網產品的價格界限。本研究的目標即在兩階段信用交易的情況下，針對智慧連網產品訂定出最佳銷售價格、批量、以及智慧程度以最大化製造商的年度利潤。研究建立一經濟生產批量模型，並求出最佳解及其相關條件。數值分析與敏感度分析則來說明了理論結果與求解方法。

The development of technology, such as the Internet of Things (IoT), has transformed traditional physical products into smart, connected products (SCP). While the enhanced product's capabilities have risen the trend of SCPs, the higher capabilities a product have, would certainly increase the product's selling price. Customer may not want to pay for the extra functionality, as the addition of enhanced capabilities and options may reach beyond what customer perceives as value, due to extra cost and the increase complexity of use. Hence, in this research, the product's demand is assumed to increase as the product's selling price decreases and the effort to improve product intelligence (i.e., intelligent effort) increases. Moreover, in practice, manufacturer often receive a permissible delay in payment (trade credit) from the supplier while also offering it to the customers to attract more sales. It is particularly important in the case of SCPs, as trade credit could act as a payment plan that would reduce SCPs' price barrier. Hence, the objective of this thesis is to determine the optimal selling price, lot size and level of intelligent effort in a single SCP to maximize the manufacturer's annual profit under two-level trade credits. An economic production quantity (EPQ) model is developed, and the condition of the optimal solution is derived. Numerical examples and sensitivity analysis are carried out to illustrate the theoretical results and solution approach.

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