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为减少易腐食品在生产配送过程中的价值损耗,通常按订单确定的交货期合理组织生产并立即配送.为此,针对多品种易腐食品的集成生产-配送问题,考虑实际配送过程中路网交通的时变特性,建立了以系统总成本最小为目标、带时间窗的易腐食品集成生产-配送问题优化模型.根据该模型特点设计了一种混合遗传算法,并通过数值算例验证了所提模型和算法的有效性.结果表明,路网的时变特性显著影响客户服务水平,优化投入配送的车辆数可有效降低系统总成本和易腐食品的价值损耗.
In order to reduce the value loss of perishable food in the process of production and distribution, it is usually organized and delivered immediately according to the delivery date determined by the order.Therefore, in view of the integrated production-delivery problem of the multi-species perishable food, Network traffic, the optimization model of perishable food integrated production-delivery problem with the minimum total system cost and time window is established.A hybrid genetic algorithm is designed according to the characteristics of the model and verified by numerical examples The results show that the time-varying characteristics of road network significantly affect the customer service level and the number of vehicles that are put into delivery can effectively reduce the total system cost and the loss of value of perishable food.