| 杨倩， 胡燕海.基于遗传算法的多源多周期采购决策优化[J].轻工机械,2020,38(2):103-107 |
| 基于遗传算法的多源多周期采购决策优化 |
| Multi Source and Multi Cycle Procurement Decision Optimization Based on Genetic Algorithm |
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| DOI：10.3969/j.issn.1005 2895.2020.02.019 |
| 中文关键词: 生产管理 多源采购 订单分配 多周期 非线性规划模型 遗传算法 |
| 英文关键词:production management multi source procurement order allocation multi cycle nonlinear programming model genetic algorithm |
| 基金项目:国家自然科学基金（51705263）；宁波市重大科技专项（2017C110030）。 |
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| 摘要点击次数: 733 |
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| 中文摘要: |
| 为了降低供应链网络采购成本同时避免单源采购的风险，课题组研究了多源采购中多周期和多原料的供应链订单分配问题。考虑价格折扣和采购量的约束，建立了以期望成本最小化为目标的非线性规划模型，并采用遗传算法进行优化计算。设计了遗传算法双层编码染色体及相应的遗传算子，以MATLAB为平台进行优化。将算例分别采用遗传算法和启发式算法进行计算，计算结果验证了所设计的遗传算法是有效的。该研究可以协同优化多制造商对多供应商的订单分配问题，降低采购风险。 |
| 英文摘要: |
| In order to reduce the cost of supply chain network procurement and avoid the risk of single source procurement, the distribution of supply chain orders for multi cycle and multi material in multi source procurement was studied. A nonlinear programming model with the objective of minimizing expected cost was established by considering the price discount and purchase quantity constraints, and genetic algorithm was adopted to optimize the calculation. Genetic algorithm with double coding chromosome and corresponding genetic operator were designed and MATLAB was used as the platform for optimization. Genetic algorithm and heuristic algorithm were used to calculate the example respectively. The results show that the designed genetic algorithm is effective, which can coordinate to optimize the order allocation problem for multi manufacturers to multi suppliers and reduce the purchase risk. |
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