ABSTRACT This paper presents a bi-objective model for integrated production and distribution planning in a multi-period multi-product green supply chain. This paper considers many near-real-world factors, such as: normal and overtime production shifts, limited storage capacity of the finished product and raw materials, different vehicle types, direct and indirect shipping along with considering different production methods that influence the production costs and sale prices, simultaneously. Mixed integer programming model is proposed in which the profit maximization and the CO2 emission minimization are formulated. A particle swarm optimization algorithm based on Pareto archive that utilizes the genetic algorithm operators is proposed to solve the model.

中文翻译：

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基于帕累托档案的绿色供应链产销一体化多目标粒子群优化

摘要 本文提出了一个多周期多产品绿色供应链中集成生产和分销计划的双目标模型。本文考虑了许多接近现实世界的因素，例如：正常和加班的生产班次、成品和原材料的有限存储能力、不同的车辆类型、直接和间接运输以及影响生产成本的不同生产方法和销售价格，同时。提出了混合整数规划模型，其中制定了利润最大化和二氧化碳排放最小化。提出了一种基于Pareto档案的粒子群优化算法，利用遗传算法算子对模型进行求解。