产品开发和生产是制造型企业运营的两个关键环节，产品开发项目调度和车间调度问题是这两个关键环节中的核心问题。
Production development and manufacturing are playing important parts in this process, and the problems of production development project scheduling and shop scheduling are the kernel of them.
对某车间生产调度问题进行研究并开发出基于ODBC接口的调度系统。
The scheduling for a production cell is studied and a scheduling system based on ODBC is developed.
介绍了基于生物免疫机理的智能生产调度关键算法，给出了作业车间生产调度案例及其多目标动态优化结果。
We introduce an intelligent scheduling system and give a case for job-shop scheduling and some dynamic optimum solutions to multi-objective function.
目前多数作业车间调度算法考虑的是静态调度，但在实际生产中车间总是处于动态变化中。
Most job shop scheduling algorithms deal with static scheduling, but in reality the shop is dynamic.
随着柔性制造系统在生产制造领域的广泛应用，柔性车间调度方法的研究逐渐成为生产调度研究领域的热点问题。
With the widespread application of the flexible manufacture system in the production manufacturing area, the research on flexible job shop scheduling methods gradually has been becoming a top issue.
首先，针对经典作业车间调度问题的局限性，结合车间生产的实际情况，研究建立了有限能力作业车间调度模型。
Firstly, direct against the limitation of classical job-shop scheduling, combine the actual conditions of the workshop, deployment model of finite capacity job-shop scheduling.
面向作业调度在当今实际生产企业作业车间调度中得到普遍的应用，其基本思想是将作业一个个地安排到工作机器上。
Job oriented scheduling (JOS) has been the most commonly used in actual job shop scheduling. It loads jobs one by one onto machines.
把二倍体混合遗传算法引入动态车间优化调度运算，从而使集成模型中动态生产调度与控制功能得以实现。
The particle swarm algorithm is introduced to job shop scheduling operation. Consequently, the function of job shop scheduling and control of the integration module is realized.
把二倍体混合遗传算法引入动态车间优化调度运算，从而使集成模型中动态生产调度与控制功能得以实现。
The particle swarm algorithm is introduced to job shop scheduling operation. Consequently, the function of job shop scheduling and control of the integration module is realized.
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