从炼铁生产过程分析入手，在功能模型的基础上建立了物流管制及生产优化决策支持系统。
Proceeding from the analysis of ironmaking process, the decision support system of logistics management and production optimize has been made based on several function model.
生产监管者随后可以使用这些数据来支持决策制定，从而优化流程、库存控制和人员调度。
Manufacturing supervisors can then use this data for decision support to optimize the process, inventory control, and personnel scheduling.
该系统将工艺控制与物流管制相结合，为炼铁生产的系统优化提供决策支持。
The system has combined process control with logistics management, and given the decision support for the system optimization of ironmaking production.
该系统为企业不同层次的管理提供了科学决策支持，为企业优化生产计划，提高运营效率奠定了基础。
This system puts forward scientific decision support for management on different levels of enterprises, prepared the ground for enterprises optimizing product plan and promoting operate efficiency.
理论分析和实例计算表明，所提出的氧气生产方案优化决策模型解决了大型制氧系统的制氧机合理选择问题。
The analysis and calculation show that: the decision model of oxygen -making machine production program solves the problem of selecting oxygen -making machine in large oxygen -making system.
同时，为管道生产过程中优化运行参数提供辅助决策。
At the same time, the method provides supplementary decision with the optimum operation parameters in the course of pipeline production.
特别是将选择机床与选择刀具相结合能对经济生产进行优化决策。
In particular, the machine selection incorporated with tool selection can generate extended strategies for economical production.
在前面定性分析基础上，分别建立生产型企业和销售型企业有需求提前期的库存优化模型，得出成本决策变量的最优解。
Based on the above qualitative analysis, it constructs an inventory optimizing model for manufacturer and storing company respectively, fingers out an optional result of the cost decision variable.
建立了以水平井生产端压差为目标函数、以孔眼分布为决策变量的优化模型，同时和均匀流入剖面、均匀射孔分布的结果进行了对比。
The optimization model which the horizontal well drawdown is regarded as objection function and the perforation distribution as decision variable is presented.
着重对烧碱的生产方法、能源消耗、产品质量、生产成本进行比较，为项目前期工作优化技术决策。
Comparison of productive method, energy consumption, product quality and productive cost is emphasized, for optimal technical decision in the prophase project.
通过它，可以获得生产现场的实时数据信息，从而使企业管理决策科学化，达到生产、经营、管理的最优化状态。
With it, the teal time information can be got, and then the scientific decision, optimized production and management of an enterprise achieved.
着重对聚氯乙烯的生产方法、能源消耗、生产成本和环境保护进行比较，为项目前期工作优化技术决策。
Comparison of productive method, energy consumption, productive cost and environmental protection, for optimal technical decision in the prophase project.
同时在算法中，还考虑到了企业对自身定位的不同，通过考虑包括客户满意度在内的总成本和采购、生产、分销等成本之间的权衡来求得优化决策。
And the corporation's own orientation is also considered to get optimal operations with the weights on total cost, purchase cost, production cost, logistics cost and customer's satisfaction.
选择影响指标的主要工艺参数作为决策变量，以产品理想分子量分布为目标，采用序贯二次规划(SQP)算法对缩聚生产过程进行优化控制。
Selecting main operating parameters as decision variables and desired WMD as control goal, polycondensation production process is controlled by sequential quadratic programming (SQP) algorithm.
选择影响指标的主要工艺参数作为决策变量，以产品理想分子量分布为目标，采用序贯二次规划(SQP)算法对缩聚生产过程进行优化控制。
Selecting main operating parameters as decision variables and desired WMD as control goal, polycondensation production process is controlled by sequential quadratic programming (SQP) algorithm.
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