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研究了一类生命周期服从负指数分布的易腐食品,综合考虑配送的软时窗约束以及需求和运输时间的随机性,以供应链整体利润最大化为目标,建立了生产商-零售商二级供应链模式下易腐食品生产调度与配送路线协同优化的数学模型。设计了改进的遗传算法和随机模拟技术相结合的混合智能算法求解模型。最后以某餐饮服务公司的生产调度和配送路线的协同优化问题为例,并基于Solomon算例数据设计了不同规模的测试算例对模型和算法的有效性进行了验证。
This paper studies a class of perishable food with negative exponential distribution in its life cycle. Considering the soft time window constraints of distribution and the randomness of demand and transportation time, this paper aims to maximize the overall profit of the supply chain. Mathematical model for collaborative optimization of perishable food production scheduling and distribution route under the mode of supply chain. A hybrid intelligent algorithm solving model combining improved genetic algorithm and stochastic simulation technology is designed. Finally, taking the co-optimization problem of production scheduling and delivery route of a foodservice company as an example, the validity of the model and the algorithm is validated based on the Solomon data.