基于供应链元跃迁模型的低碳发展多目标决策优化研究

Multi-objective decision-making optimization of low-carbon development based on supply chain meta-transition model

针对传统供应链向低碳供应链转型背景下如何协调链上核心企业活动的问题,基于供应链元理论,建立了以利润、碳排放和跃迁概率为优化目标的混合整数规划跃迁模型。同时设计约束处理机制,并通过变异策略改进多目标粒子群算法。在此基础上,结合国内某健身器材制造企业的实践运营数据验证了模型与算法的有效性。最后,对模型参数进行了灵敏度分析。研究结果表明:供应链元概念的应用有利于降低研究复杂供应链的难度,基于此建立的模型及其求解算法有效,得到的Pareto最优解集能够提供给决策者具有参考价值的非劣解;对于协调供应链各核心参与者的活动,推动传统供应链向低碳供应链跃迁有一定的理论意义与应用价值。

Aiming at coordinating the activities of core enterprises on the chain under the background of the transformation of traditional supply chain to low-carbon supply chain,we built a hybrid integer planning transition model with profit,carbon emission and transition probability as the optimization goals based on supply chain metathesis.The constraint processing mechanism was designed,and the multi-objective particle swarm algorithm was improved by the mutation strategy.On this basis,combined with the practical operation data of a domestic fitness equipment manufacturing enterprise,the effectiveness of the model and algorithm was verified.Finally,the model parameters were analyzed for sensitivity.The results show that the application of supply chain meta-concept is conducive to reduce the difficulty of studying complex supply chains,and that the model and its solution algorithm based on this are effective,and that the optimal solution set of Pareto obtained can be provided to decision makers with non-inferior solutions with reference value.It has certain theoretical significance and application value for coordinating the activities of the core participants in the supply chain and promoting the transition from traditional supply chain to low-carbon supply chain.