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作 者:沈广亚[1] 李立恒 张宁[1] SHEN Guangya;LI Liheng;ZHANG Ning(School of Economics&Management,Beihang University,Beijing 100083,China)
机构地区:[1]北京航空航天大学经济管理学院,北京100083
出 处:《北京航空航天大学学报》2020年第7期1422-1436,共15页Journal of Beijing University of Aeronautics and Astronautics
摘 要:在多个异质性离散型生产工厂的航空零部件集成制造环境下,以最小化生产与运输总成本为目标,研究了订单的分配以及零部件加工和成品装配、产品运输的综合计划制定问题,构建了整数规划模型。所建模型既不需要单独引入订单分配决策变量,也不需要在生产量和运输量的决策变量中添加订单维度,而是通过成品配送约束解决了订单分配决策问题,大幅度减少了决策变量数量,显著降低了模型的复杂度,提升了模型的实用性。以某航空制造企业为例验证了模型的有效性。An integer programming model is built to solve the integrated planning problems including order allocation, components and parts processing, product assembly and product transportation in aviation parts integrated manufacturing environment with multiple heterogenic discrete manufacturing plants. The objective of the proposed model is the minimization of the total cost in the whole process of production and transportation. The proposed model handles the order allocation problem through constructing the product shipment constraint rather than separately introducing order allocation decision variables or adding order dimensions to the production and transportation decision variables so as to reduce a large number of unnecessary decision variables, which significantly reduces the complexity of the model and improves its practicability. The effectiveness of the proposed model is confirmed by an instance from an aviation manufacturing enterprise.
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