小批量及定制化生产模式下，由随机性订单、服务性资源、动态性合作等因素所引发的高度动态性使得传统以规律性生产计划为核心的生产管控方式不再适用。工业4.0等智能生产模式下，如何实时获取全局系统干扰、动态判断过程控制需求、迭代产生优化控制目标，并引导生产系统不断调整执行计划和配置结构以适应性的方式将生产系统保持在动态条件下的最优运行状态，是生产系统管控层面临的一个重要挑战。本研究选择多生产单元（例如车间）组成的大型生产系统为通用型研究对象，以外部订单变动、自身控制调整、底层执行干扰来全面定义动态运作环境，提出生产系统“三态分级引导、多段联动控制”的优态运行控制框架：通过“理论优态—实际优态—实际状态”的动态匹配机制来实时获取最优目标引导路径，再通过目标级联法进行系统多阶段联动决策而产生局部优态控制，保证系统全局实时围绕最优目标路径进行优态运行。最后结合课题组为某合作企业设计的“生产-物流”仓储优态联动运作方案，为生产系统面对高动态性问题提供了可行的实现框架与方法。
屈挺
,
张凯
,
闫勉
,
郭洪飞
,
黄国全
,
李从东
,
李晓敏
. 物联网环境下面向高动态性生产系统优态运行的联动决策与控制方法[J]. 机械工程学报, 2018
, 54(16)
: 24
-33
.
DOI: 10.3901/JME.2018.16.024
The traditional production management and control methods based on regular production planning is no longer applicable in the multi-varieties and small-batch production mode due to the highly dynamics caused by random orders, service resources, dynamic cooperation and other factors. In Industry 4.0 and other intelligent production mode, how to obtain global system interference, dynamically determine process control needs and iterative optimization control objectives in order to guide the production system to continuously adjust the execution plan and configuration structure to keep the production system in an optimal state under dynamics adaptively is an important challenge for the production system management layer. A large-scale production system consisting of multiple production units (one workshop for example) was selected as a general research object and the dynamic operating environment is fully defined with changes in external orders, self-adjust control and the underlying execution interference. In addition, a three-state conducting, multi-stage synchronized controlling optimal-state operational control framework is proposed in this study, which described as to get the optimal guide path real timely through the dynamic matching mechanism of "theoretical optimal state-actual good state-actual state", and then get the local optimal state control under multi-stage synchronized control with Analysis Target Cascading method to ensure the system under an optimal target path for optimal operation. Finally, combining the production-logistics and storage optimal synchronization operation scheme designed by the research team for a cooperative enterprise, it provides a feasible framework and method for the production system to face the high dynamic problem.
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