考虑碳配额差值的选址-路径-库存联合优化多目标模型与求解
发布时间：2018-11-11 20:31
【摘要】：针对产供销一体化企业中的选址-路径-库存系统联合优化问题,引入碳配额差值系数,构建了考虑碳配额差值和选址-路径-库存经济成本多目标模型,并使用改进的多目标混合粒子群算法(MOHPSO)对问题进行求解。对模型求解得到的帕累托最优解集可以根据决策者的环保偏好选择最佳的运作方案。基于中石油东北化工销售公司真实实例的计算实验表明所构建的模型和算法是有效并可行的,灵敏度分析验证了所给出的帕累托前沿具有较好的均匀性。
[Abstract]:Aiming at the problem of joint optimization of site-path-inventory system in integrated enterprises of production, supply and marketing, a multi-objective model considering carbon quota difference and site-path-inventory economic cost is constructed by introducing the difference coefficient of carbon quota. An improved multiobjective hybrid particle swarm optimization (MOHPSO) algorithm is used to solve the problem. The Pareto optimal solution set obtained by solving the model can select the best operation scheme according to the environmental preference of the decision makers. Based on the real example of PetroChina Northeast Chemical Marketing Company, the calculation results show that the proposed model and algorithm are effective and feasible. The sensitivity analysis verifies that the given Pareto frontier has good uniformity.
【作者单位】： 东北大学工商管理学院;
【基金】：国家自然科学基金资助项目(70872019) 辽宁省教育厅人文社科基地资助项目(ZJ2013014)
【分类号】：F274
[Abstract]:Aiming at the problem of joint optimization of site-path-inventory system in integrated enterprises of production, supply and marketing, a multi-objective model considering carbon quota difference and site-path-inventory economic cost is constructed by introducing the difference coefficient of carbon quota. An improved multiobjective hybrid particle swarm optimization (MOHPSO) algorithm is used to solve the problem. The Pareto optimal solution set obtained by solving the model can select the best operation scheme according to the environmental preference of the decision makers. Based on the real example of PetroChina Northeast Chemical Marketing Company, the calculation results show that the proposed model and algorithm are effective and feasible. The sensitivity analysis verifies that the given Pareto frontier has good uniformity.
【作者单位】： 东北大学工商管理学院;
【基金】：国家自然科学基金资助项目(70872019) 辽宁省教育厅人文社科基地资助项目(ZJ2013014)
【分类号】：F274
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