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學年
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114 |
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學期
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1 |
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出版（發表）日期
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2025-12-07 |
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作品名稱
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Mathematical Modeling and Optimization of Sustainable Production–Inventory Systems Using Particle Swarm Algorithms |
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作品名稱（其他語言）
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著者
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Chi-Jie Lu, Chih-Te Yang*, Dong-Ying Jiang, Ming-Shu Chen |
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單位
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出版者
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著錄名稱、卷期、頁數
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Mathematics 2025, 13, 3912. |
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摘要
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This research examines a multinational supply chain inventory problem involving one manufacturer and multiple retailers across a range of carbon emission combinations and an incomplete production system. It aims to identify the optimal strategies for material use, production, delivery, replenishment, and pricing to maximize the integrated total profits under various situations. Three particle swarm optimization techniques are used to solve all the models. Numerical examples and sensitivity analyses on parameter changes are provided. The findings indicate that in a multinational supply chain, currency appreciation in individual retailers’ countries decreases their optimal order quantities and the manufacturer’s optimal material purchase quantity, but increases the optimal quantity for other retailers. In summary, this study offers valuable guidance to enterprises and supply chain decision-makers, especially those operating in a multinational framework, aiming to effectively balance carbon reduction and profitability within the context of global trends in carbon emission reduction. |
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關鍵字
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production-inventory model; multinational supply chain; carbon emission combination; multiple retailers; particle swarm algorithm |
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語言
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en |
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ISSN
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期刊性質
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國外 |
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收錄於
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SCI
Scopus
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產學合作
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通訊作者
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Chih-Te Yang |
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審稿制度
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是 |
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國別
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CHE |
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公開徵稿
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出版型式
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,電子版 |