The traditional method is a table method for solving production planning problem with transportation problems characteristics.
可转化成运输模型的生产计划问题，传统解法为表上作业法。
The simulation experiments showed that the method could better solve the multi-plants supply chain production planning problem and was superior to the existing coordination methods.
仿真实验表明，该策略能够较好地协调多厂供应链计划，结果明显优于已有的协调方法。
To solve coordination problem of multi-plants supply chain production planning, a coordination and optimization strategy of internal price based on Lagrange relaxation algorithm was presented.
为了解决多厂供应链生产计划的协调问题，提出了一种基于拉格朗日松弛算法的内部价格协调优化策略。
The paper explores the problem of optimal hierarchical stochastic production planning and control in agile manufacturing workshops (AMW).
研究了敏捷制造车间(AMW)中的最优递阶随机生产计划与控制问题。
Production planning management is the most important and most central part of the problem of production management, especially is the resource conflict.
生产计划管理是生产管理中最重要和最核心的部分，尤其是资源冲突问题。
Therefore, production planning and capacity planning of semiconductor manufacturing system is a very complicated problem.
以上因素，决定了半导体制造系统生产计划与能力计划问题是一个非常复杂的问题。
This paper is about process control problem of production planning and material inventory.
利用支撑的概念，研究生产计划-库存控制过程。
Through the example simulation, the result indicated that MOPSO in this paper works well to solve the problem of production planning and capacity planning of semiconductor.
通过实例仿真，结果表明本文的多目标粒子群算法求解半导体生产计划及能力计划多目标优化问题是可行的。
A special asymmetric vehicle routing problem is presented for modeling the hot rolling lot planning since it accords with the production practice.
本文提出了更为接近热轧批量计划编制实际的特殊不对称车辆路径问题作为热轧批量计划编制问题的数学模型。
The paper addresses the problem of the optimal stochastic production planning in flexible automation workshops (FAW), each with a number of flexible manufacturing systems (FMS).
提出一种基于关联预测的柔性自动化车间(FAW)生产计划的最优分解方法。
The paper addresses the problem of the optimal stochastic production planning in flexible automation workshops (FAW), each with a number of flexible manufacturing systems (FMS).
提出一种基于关联预测的柔性自动化车间(FAW)生产计划的最优分解方法。
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