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针对当前供应链模型研究中未考虑产品回收,不利于短寿命周期商品供应链供应成本控制的问题,提出一种考虑回收成本收益的高斯和声搜索(GHS)循环供应链模型构建与优化算法。首先,对供应链分5个阶段进行描述,并考虑产品回收过程进行模型构建,同时利用保存成本、短缺成本和转移成本建立供应链模型的成本最低目标;其次,引入和声搜索算法进行模型优化,同时为提高和声搜索的有效性,利用高斯遍历控制参数对和声搜索步长进行自适应搜索,提高算法的自适应能力;最后,通过标准测试函数对GHS的参数敏感性进行分析,并进行了模型算例研究,实验结果表明,所提算法可获得更低的供应链运输成本。
In order to solve the problem of product recycling in current supply chain model, which is unfavorable to supply cost control in short life cycle commodity supply chain, this paper proposes a GHS recycle supply chain model construction and optimization algorithm considering cost recovery. First, describe the five stages of the supply chain, and consider the process of product recovery model building, and at the same time use the cost of saving, shortage and transfer costs to establish the lowest cost model of the supply chain model; secondly, the introduction of harmony search algorithm for model optimization At the same time, in order to improve the effectiveness of the harmony search, the Gaussian traversal control parameters are used to search the harmony search step adaptively to improve the adaptive ability of the algorithm. Finally, the parameter sensitivity of the GHS is analyzed through the standard test function. A case study of the model is carried out. The experimental results show that the proposed algorithm can achieve lower supply chain transportation costs.