Pricing optimization for inventory with integrated storage and credit constraints

doi:10.3390/math14010163

淡江大學機構典藏 > 商管學院 > 統計學系暨研究所 > 期刊論文 > Item 987654321/128475

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题名:	Pricing optimization for inventory with integrated storage and credit constraints
作者:	Hui-Ling Yang;Chun-Tao Chang;Yao-Ting Tseng
关键词:	pricing;storage capacity;partial trade credit;deterioration;discounted cash flow
日期:	2025-12-31
上传时间:	2026-02-27 12:07:01 (UTC+8)
出版者:	MDPI
摘要:	Price is a pivotal determinant of market demand, as higher prices typically reduce sales while lower prices stimulate them. Thus, incorporating price-dependent demand into inventory models is both realistic and necessary. In practice, limited storage capacity often forces retailers to rent additional space, motivating the adoption of two-warehouse systems. Trade credit also plays a critical role in supply chain management: suppliers may offer cash discounts or deferred payments to encourage larger orders, while retailers extend credit to customers to boost sales. To reduce default risk, however, retailers usually provide only partial credit. Considering the time value of money, costs and profits are assessed using discounted cash-flow analysis to account for payment delays and inflation. This study develops an integrated supplier–retailer–customer chain model that (1) incorporates price-dependent demand, (2) includes a rented warehouse for limited storage, (3) considers partial trade credit, (4) links two-level trade credit terms to order quantity, and (5) evaluates financial performance on a present-value basis. The model aims to maximize total profit by determining optimal price, replenishment cycle, and order quantity. Numerical and sensitivity analyses confirm that extending supplier credit can lower prices and improve overall profitability, offering useful insights for strategic inventory management.
關聯:	Mathematics 14(1), p.163
DOI:	10.3390/math14010163
显示于类别:	[統計學系暨研究所] 期刊論文

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