碳限额与交易机制下零售商模糊库存模型优化求解

    Optimum Solution of a Fuzzy Retailer's Inventory Model under the Carbon "Cap-and-Trade" Mechanism

    • 摘要: 为探讨不确定条件下碳交易机制对库存管理中排放控制和成本优化的影响,用梯形模糊数描述各参数和决策变量,建立碳交易机制下模糊经济订货批量模型和排放模型,对比分析不同决策下经济订货量的关系,讨论碳交易机制对模糊成本与碳排放的影响效果。研究结果表明:模糊模型能有效降低决策的不确定性;模糊参数满足一定条件时,考虑碳交易机制前后和仅考虑碳排放最小时的经济订货量不相同,适宜进行碳交易;碳限额增大能有效降低成本,对经济订货量和排放无直接影响;碳价与排放负相关,而对成本的作用则取决于给定碳限额的范围。

       

      Abstract: In order to discuss to what extent the carbon emission trading scheme may impact cost optimizing and carbon emissions control in the course of inventory management under the uncertain conditions, trapezoidal fuzzy numbers are applied to describe parameters and variables,fuzzy economic order quantity model and carbon emission model are constructed under carbon emission trading scheme, the relation between economic order quantities is analyzed comparatively when different decisions are made, and the effect on fuzzy cost and carbon emissions by carbon emission trading scheme is demonstrated. The results show that:a fuzzy model can effectively reduce the uncertainty of a decision;when fuzzy parameters satisfy a certain conditions, the economic order quantity before and after considering carbon emission trading scheme is distinctive from that considering minimum carbon emission quantity, and it is the appropriate time to have a carbon emission trading; the increase of carbon emission quotas can reduce cost profoundly, whereas it has no direct influence upon economic order quantity and carbon emissions; the carbon price has a negative correlation with emissions, while its effect upon cost depends on the range of given carbon emission quotas.

       

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