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首页> 外文期刊>International Journal of Production Research >Supplier selection and order allocation in closed-loop supply chain systems using hybrid Monte Carlo simulation and goal programming
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Supplier selection and order allocation in closed-loop supply chain systems using hybrid Monte Carlo simulation and goal programming

机译：闭环供应链系统中的供应商选择和订单分配，采用混合蒙特卡洛模拟和目标规划

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摘要

Supplier selection is an important strategic design decision in closed-loop supply chain systems. In addition, and after identifying the candidate suppliers, optimal order allocations are also considered as crucial tactical decisions. This research presents a multi-objective optimisation model to select the best suppliers and configure manufacturing and refurbishing facilities with the optimal number of parts and products in a closed-loop supply chain network. The objective functions in this research are formulated as total profit, total defective parts, total late delivered parts and economic risk factors of the candidate suppliers. The proposed multi-objective model is solved by hybrid Monte Carlo simulation integrated with three different variants of goal programming method. The effectiveness of the mathematical model and the proposed solution algorithms in obtaining Pareto-optimal solutions is demonstrated in a numerical example adopted from a real case study.
机译：供应商的选择是闭环供应链系统中重要的战略设计决策。此外，在确定候选供应商之后，最佳订单分配也被视为至关重要的战术决策。这项研究提出了一个多目标优化模型，以选择最佳供应商，并在闭环供应链网络中配置具有最佳零件和产品数量的制造和翻新设施。这项研究的目标功能由候选供应商的总利润，总缺陷零件，总延迟交付零件和经济风险因素表述。提出的多目标模型是通过混合蒙特卡洛模拟与目标编程方法的三种不同变体集成来解决的。实际案例研究中的数值示例证明了数学模型和提出的求解算法在获得帕累托最优解中的有效性。

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