The necessity and feasibility of the integration of process planning and production scheduling and the relations between CAPP and shop job scheduling are analyzed.
对工艺设计与生产调度集成的必要性和可行性进行了分析，讨论了工艺设计与车间作业计划之间的关系。
Thus, seeking the effective methods used to solve flexible job shop scheduling has important theoretical and applied significance.
因此，寻找有效的方法对柔性作业车间调度问题进行求解具有重要的理论价值和应用意义。
A discrete Particle Swarm Optimization (PSO) algorithm was presented for Job Shop scheduling problem.
提出了用于解决作业车间调度问题的离散版粒子群算法。
In this research field, it is a none-standard Job Shop Scheduling Problem.
在该研究领域里，它属于非标准型的的作业车间调度问题。
Two kinds of model are formulated based on the studies of job shop fuzzy scheduling problem.
在研究作业车间模糊调度问题的基础上，建立了两种作业车间模糊调度模型。
Therefore, the choice of sea area is the coupling of the facility location problem and job-shop scheduling problem.
因此试验海区的选择是工厂选址运输问题和车间调度问题的耦合。
Most job shop scheduling algorithms deal with static scheduling, but in reality the shop is dynamic.
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。
Job shop scheduling problem is one of the typical combinatorial optimization problems with constraints. To get its encoding has always been one of the main and difficult points of the problem.
车间作业调度问题是一类带有约束的典型的组合优化问题，目前采用人工鱼群算法解决车间作业调度问题没有检索到参考文献。
We introduce an intelligent scheduling system and give a case for job-shop scheduling and some dynamic optimum solutions to multi-objective function.
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。
Then construct a distributed job shop scheduling system around the shop scheduling algorithm, so that it can be applied in practice.
接着围绕车间调度算法构建了分布式的车间调度系统，使其能在实际中得到应用。
However, this way of introducing MES to strengthen job-shop scheduling and improve the running efficiency of plans faces many problems in the process.
然而，这种通过引入MES来加强车间级的生产计划调度、提高中长期计划的运行效率的方法在实际实施过程中遇到了很多问题。
In order to solve NP - shop scheduling combinatorial optimization problems, an immune forgotten algorithm for job shop scheduling is proposed.
为了解决车间调度NP组合优化的难题，提出了基于免疫遗忘的车间调度算法。
While applied to Job Shop scheduling Problems, it has some limitations to be solved.
但在解决单件车间作业计划问题时，仍存在一些局限。
Job oriented scheduling (JOS) has been the most commonly used in actual job shop scheduling. It loads jobs one by one onto machines.
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 shop scheduling is a complex NP problem, scheduling system need considerable flexibility mechanism.
车间调度问题是一个复杂的NP问题，车间调度系统需要具有相当的柔性机制。
As a popular research realm in manufacture system, Job Shop Scheduling is one of the most difficult problems in theoretic.
作业车间调度是制造系统的一个研究热点，也是理论研究中最为困难的问题之一。
Job shop scheduling is one of the effective measures to resolve the problem.
车间作业计划是解决这一难点的有效措施之一。
Job shop scheduling is one of the effective measures to resolve the problem.
车间作业计划是解决这一难点的有效措施之一。
应用推荐