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A sustainable EOQ model for repairable spare parts under uncertain demand

机译:需求不确定情况下可维修备件的可持续EOQ模型

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This paper considers issues of sustainability in the context of spare parts logistics. In particular, the single-product replenishment problem is formulated and an optimal order quantity is derived by minimizing a cost function that includes both economic and environmental costs relating to repair and replacement, including the environmental cost of the production of new parts and the disposal of used parts. The optimal means of transport, the optimal repair policy, and the corresponding optimal value of the sustainable economic order quantity (SOQ) are calculated. A numerical example derived from industrial field data is presented to test the model. Results are discussed and compared with classical EOQ model solutions. SOQ values larger than EOQ, slow means of transportation and high repair rates minimize the cost function, while fast means of transportation are identified as the optimal choice only when transport distances are short and spare parts demand is highly variable.
机译:本文考虑了零部件物流中的可持续性问题。特别是,通过最小化成本函数(包括与维修和更换有关的经济和环境成本,包括新零件的生产和处置的环境成本)来制定单一产品补给问题并得出最佳订单数量。二手零件。计算了最佳运输方式,最佳维修策略以及可持续经济订单量(SOQ)的相应最佳值。给出了一个来自工业现场数据的数值例子来测试该模型。对结果进行了讨论,并与经典EOQ模型解决方案进行了比较。 SOQ值大于EOQ,慢速运输方式和高维修率可最大程度地降低成本功能,而仅当运输距离短且备件需求变化很大时,快速运输方式才被视为最佳选择。

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