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Supply Chain Design Optimization Considering Consumers' Low-Carbon Awareness Under Carbon Tax Regulation

机译:供应链设计优化考虑消费者在碳税监管下的低碳意识

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The optimization problem for a two-stage supply chain consisting of a manufacturer and a retailer under the carbon tax regulation is investigated in this paper. Consumers' low-carbon awareness level is considered in the decision models. Optimal decision policies, corresponding emissions, and profits are calculated for the decentralized decision-making mode. Under the decentralized mode, the two-stage supply-chain optimization problem is formulated as a Stackelberg game model, where the manufacturer and retailer were the leader and follower, respectively. The manufacturer decides the emission-reduction levels per product unit and the retailer decides the retail price per unit product. The optimal decisions are derived using the reverse-solution method. The influence of the regulation parameters and consumers' low-carbon awareness level on the optimal decision policies, the corresponding emissions, and profits is discussed in detail. Finally, numerical experiments confirmed the analytical results.
机译:本文研究了由制造商和零售商组成的两级供应链的优化问题。在决策模型中考虑了消费者的低碳意识水平。为分散的决策模式计算最佳决策政策,相应的排放和利润。在分散模式下,两级供应链优化问题被制定为Stackelberg游戏模型,其中制造商和零售商分别是领导者和追随者。制造商决定每个产品单位的减排水平,零售商决定每单位产品的零售价格。使用反向解决方法导出最佳决策。详细讨论了调节参数和消费者低碳意识水平对最佳决策政策,相应排放和利润的影响。最后,数值实验证实了分析结果。

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