Development and implementation of a production planning and control for rush orders in the industrial application

对紧急订单的控制具有重大的工业意义。基础研究项目是如何确定紧急订单和正常订单的吞吐量时间，并确定紧急订单的临界份额。在简化的制造环境（仿真）中，通过原型订单接受和调度以及适当的制造控制，可以按时完成紧急订单和正常订单。实践中需要克服的缺点有：(1)实践中目前还没有支持处理紧急订单的订单接受和调度方法。(2)紧急订单的临界份额并不一定反映经济上合理的紧急订单份额，因为这取决于市场条件。(3)之前的模型没有考虑实际中经常发生的、对急单的吞吐时间影响较大的影响因素。(4)为了成功地将紧急订单整合到实践中，并确保进度的可靠性，需要对生产计划和控制进行适当的配置。(5)必须克服基础研究项目建模复杂的问题，以方便实践者实施。问题是如何消除缺陷并将建模结果应用于实践。在与KSG Leiterplatten GmbH的合作中，必须实现以下子目标：(1)必须扩展建模以处理对生产时间有重大影响的工业条件，并且必须开发促进建模应用的工具。(2)必须开发一种方法，根据要求的交货时间确定经济上合理的紧急订单份额。(3)需要开发和测试多种订单接收和调度方法，以确保其实用性。(4)此外，扩展模型必须在公司的特定区域内与工业合作伙伴一起应用。这也包括生产计划和控制的配置。通过指导方针，工业企业可以从研究项目的成果和转移项目的延伸中获利。

The control of rush orders is of great industrial relevance. The basic research project shows how to determine the throughput times for rush and normal orders and define a critical share of rush orders. With a prototypical order acceptance and scheduling as well as a suitable manufacturing control both rush and normal orders can be completed on schedule in a simplified manufacturing environment (simulation). Various shortcomings need to be overcome for the transfer into practice: (1) There is so far no order acceptance and scheduling method existing that supports the handling of rush orders in practice. (2) The critical share of rush orders does not necessarily reflect an economically reasonable share of rush orders, since this is dependent on market conditions. (3) The previous modeling does not consider influences that frequently occur in practice and that have a great impact on the throughput time of rush orders. (4) To successfully integrate rush orders into practice and to ensure schedule reliability, a suitable configuration of the production planning and control is necessary. (5) The complex modeling of the basic research project has to be overcome to facilitate the implementation for the practitioner.The question is how to clear the deficits and transfer the modeling results into practice. In cooperation with the KSG Leiterplatten GmbH following sub-goals have to be achieved: (1) the modeling has to be extended to handle industrial conditions that have a major influence on the throughput time and tools to facilitate the application of the modeling have to be developed. (2) A method for determining an economically reasonable share of rush orders based on requested delivery times has to be developed. (3) Multiple order acceptance and scheduling methods have to be developed and tested for their practicability. (4) In addition, the extended modelling has to be applied with the industrial partner in a defined area of the company. This also includes the configuration of Production Planning and Control. Through guidelines industrial companies can profit from the findings of the research project and the extension of the transfer project.