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A fuzzy solution approach for a multi-objective integrated production-distribution model with multi products and multi periods under uncertainty

机译:不确定条件下多产品多周期的多目标集成生产-分销模型的模糊求解方法

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This paper considers a multi-objective integrated production-distribution problem (IPDP) for multi-product and multi-production facility with limited capacity vehicles over a multi-period horizon in a two-level supply chain. In order to consider uncertainty of a real supply chain, some fuzzy parameters are considered for costumer demands, machine and labor levels of each manufacturer. The proposed model minimizes total production, inventory and distribution costs and total delivery time, simultaneously and the performance of the proposed model is evaluated on several randomly generated instances. The results show that integrating production and distribution decisions is more efficient than making these two decisions, separately.
机译:本文考虑了两级供应链中多期限范围内具有有限能力的车辆的多产品和多生产设施的多目标集成生产分配问题(IPDP)。为了考虑真实供应链的不确定性,考虑了一些模糊参数来满足客户需求,每个制造商的机器和劳动力水平。所提出的模型使总生产,库存和分销成本以及总交付时间最小化,同时,在几个随机生成的实例上评估了所提出模型的性能。结果表明,整合生产和分销决策比分别制定这两个决策更为有效。

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