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企业供应链操作计划优化需要统筹规划供应链上各个环节的生产、库存与运输,并且需要考虑工厂内生产资源的限制,确保生产计划能够在资源限制范围内完成。本文首先建立了企业供应链物流优化的线性规划(LP)数学模型及工厂内生产操作的混合整数线性规划(MILP)数学模型,通过分解和循环优化的方法研究了企业供应链的操作优化问题。在企业供应链操作计划优化问题中会遇到需求、交货时间及加工时间等的不确定性,本文通过鲁棒性方法处理这些不确定性参数,使得生产、库存与运输策略能够适应需求、交货时间等的变化。本文通过一个工业案例的计算验证了所提出的新方法。工业案例的计算结果表明通过本文的方法可以得到企业供应链操作计划的最优策略,达到降低供应链的总成本的目的。计算结果表明得到的企业供应链操作计划最优生产策略在工厂生产资源限制范围内。
The optimization of an enterprise’s supply chain operation plan needs to make an overall plan for the production, inventory and transportation in all aspects of the supply chain, and needs to consider the restrictions on the production resources in the factory so as to ensure that the production plan can be completed within the resource limits. In this paper, we first establish a linear programming (LP) mathematic model of supply chain logistics optimization and a mixed integer linear programming (MILP) mathematic model of production operations in the factory, and study the operation optimization of enterprise supply chain through decomposition and optimization. In the supply chain operation planning optimization problem, we encounter the uncertainty of demand, delivery time and processing time. In this paper, we deal with these uncertain parameters by the robust method to make the production, inventory and transportation strategies to meet the demand, Delivery time and other changes. This paper validates the proposed new method through the calculation of an industrial case. The calculation results of the industrial case show that the optimal strategy of the enterprise supply chain operation plan can be obtained through the method of this article, so as to reduce the total cost of the supply chain. The calculation results show that the optimal production strategy of the operating plan of supply chain in the enterprise is within the limits of the factory production resources.