CONCLUSION The preparation method of MTO-BSANP-folate was optimized.
结论优化了叶酸偶联米托蒽醌白蛋白纳米粒的制备工艺。
Based on the traits of MTO, an improved model of production planning is presented.
结合按订单生产方式的特点，提出了一种如何接收订单和计划生产的方法。
From the angle of distribution time, the distribution network under MTO environment is re-planned.
最后，从时间角度对MTO环境下的分销网络进行了重新规划。
As for these constraint facts corresponding running modes are put forward to make the organization and distribution of MTO enterprises more reasonable.
针对不同的制约因素，提出相应的企业运行模式，使企业分布和组织更趋合理。
Through the supply chain logistics integration, the time compression of vehicle order-to-delivery (OTD) in the make-to-order (MTO) environment is researched.
通过供应链物流整合，对按照订单生产(MTO)环境下汽车交付提前期(otd)的压缩问题进行了研究。
Commercial application prospect of MTO or DMTO process does not depend on the process technology but on the cost of producing methanol from coal or natural gas.
MTO或DMTO工艺的工业化应用前景不在技术本身而在以煤基或天然气基生产甲醇的制造成本。
Latest researches in SAPO-18 molecular sieve were reviewed with respect to its synthesis, structure, acidity and application in methanol-to-olefins (MTO) process.
介绍了SAPO - 18分子筛的合成、结构组成、酸性表征及其在催化甲醇制烯烃(MTO)反应中应用的最新研究情况。
The MTO experiment results demonstrate that different addition amounts of additive' concentrated solution have considerable effects on bath life span and deposit performance.
周期实验研究结果表明，添加剂浓缩液不同的添加量对镀液寿命、镀层综合性能有较大影响。
Example of calculation results proves the validity of the model, the model can provide a useful reference for MTO manufacturing mode enterprises with delivery decision-making.
实例计算结果证明了该模型的有效性，该模型可以为订单式生产企业交货期决策提供有益的参考。
An order planning optimizing model is formulated based on studies on the order planning strategies, (constraints) and objectives under make-to-order (MTO) management mode in steel plant.
基于对钢铁企业M TO管理模式下合同计划的编制策略、约束条件和优化目标的研究，建立了合同计划优化模型。
An order planning optimizing model is formulated based on studies on the order planning strategies, (constraints) and objectives under make-to-order (MTO) management mode in steel plant.
基于对钢铁企业M TO管理模式下合同计划的编制策略、约束条件和优化目标的研究，建立了合同计划优化模型。
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