Dual-Channel Supply Chain Inventory Optimization Using Teaching-Learning-Based Algorithm for Carbon Efficiency
學年 113
學期 1
發表日期 2025-01-22
作品名稱 Dual-Channel Supply Chain Inventory Optimization Using Teaching-Learning-Based Algorithm for Carbon Efficiency
作品名稱（其他語言）
著者 Tsaur, Ruey-chyn; Lin, Nei-chih; Lu, Chi-jie; Chen, Tzu-hsuan; Yang, Chih-te
作品所屬單位
出版者
會議名稱 30th International Symposium on Artificial Life and Robotics, 10th International Symposium on BioComplexity (AROB-ISBC 2025)
會議地點 Beppu, Japan
摘要 The impact of global climate change and shifting consumption patterns has made managing multinational supply chain inventory crucial, especially in light of net-zero carbon emission goals. The adoption of dual-channel marketing models, combining online and physical channels, adds complexity to supply chain management. A key challenge for enterprises is balancing environmental sustainability with profitability, while facing global pressure to reduce carbon footprints. In dual-channel supply chains, the profits of manufacturers and retailers offering substitutable products are interdependent, further complicating inventory management and efforts to optimize profit alongside meeting carbon reduction targets. This study proposes sustainable production-inventory models for multinational supply chains with dual channels and multiple physical retailers, incorporating collaboration on carbon reduction investments among supply chain members. The model calculates the total profit and carbon emissions of manufacturers and retailers separately, and then optimizes selling prices, material supply, production, delivery, investment strategies, and replenishment strategies to maximize overall supply chain profit under a carbon cap-and-trade policy. Due to the complexity introduced by multiple physical retailers, traditional mixed-integer nonlinear programming models become difficult to solve as the number of retailers increases. Therefore, the study employs the Teaching-Learning-Based Optimization (TLBO) algorithm to find optimal solutions effectively. Numerical and sensitivity analyses validate and illustrate the proposed models, providing insights for managers to optimize production, shipping, ordering, investing, and pricing strategies across channels while responding to national carbon reduction policies. This research offers a comprehensive framework for balancing sustainability and profitability in modern supply chain management.
關鍵字 Inventory;supply chain;dual channel;multiple retailers;carbon cap and trade;teaching-learning-based optimization
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20250122~20250124
通訊作者
國別 JPN
公開徵稿
出版型式
出處
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