Systematic analysis of the effect of production planning and control processes on logistical objectives

系统分析生产计划和控制流程对物流目标的影响

• 批准号: 434659386
• 负责人: Professor Dr.-Ing. Peter Nyhuis
• 金额: --
• 依托单位: Institut für Fabrikanlagen und Logistik (IFA)
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2020
• 资助国家: 德国
• 起止时间: 2019-12-31 至 2021-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/434659386?language=en
• 关键词: Systematic; analysis; effect; production; planning

In addition to the product characteristics of price and quality, logistic performance has become a highly relevant customer requirement for producing companies and a very important purchasing criterion. Production planning and control (PPC) has a very large influence on the logistic performance achieved and the logistics costs incurred.In the literature, various PPC concepts can be found, which describe the PPC tasks and put them into a process-related context. Examples are Aachen PPC-Model or the Hanoverian Supply Chain Model. These concepts are generic and generally valid. However, they do not specify how the PPC tasks should be carried out. Numerous procedures are available for the concrete fulfilment of the PPC tasks. These differ greatly in the effort required, in the result and in their effect on logistic and other objectives. Today, there is no continuous and consistent collection and description of these PPC procedures. For the selection of procedures for fulfilling the PPC tasks several approaches can be found in the literature. These use different criteria for selection, but are quite general and do not yet provide a comprehensive solution for PPC configuration. Thus, the PPC design remains a great challenge for companies, especially because the specific effect of the different PPC procedures and combinations is not transparent. Only for individual tasks highly focused studies on the impact of PPC procedures on logistic objectives do exist.The proposed research project has two main objectives. On the one hand, the procedures for fulfilling the PPC tasks should be collected, structured and described in a uniform form and language. On the other hand, the direct or indirect impact of the PPC procedures on logistic objectives should be examined qualitatively. The results of the research project will be integrated into the framework Hanoverian Supply Chain Model and thus made accessible to science and industry.Thus, for the first time, a comprehensive and systematic linking of procedures for fulfilling PPC tasks and their specific effect on logistical target figures is available across the entire PPC and the entire company's internal supply chain. This systematizes knowledge and creates new knowledge. The basic formulation of cause-effect-relationships and the use of suitable structures and visualizations creates transparency and increases understanding of the complex cause-effect-relationships in PPC. Companies are thus supported to examine their PPC with regard to weak points and target conformity as well as to estimate the effect of improvement measures in the PPC.

除了价格和质量的产品特性外，物流性能已成为生产企业高度相关的客户要求和非常重要的采购标准。生产计划与控制（PPC）对物流绩效的实现和物流成本的产生有着非常大的影响，在文献中可以找到各种PPC的概念，它们描述了PPC任务并将其置于与流程相关的背景下。例如亚琛PPC模型或汉诺威供应链模型。这些概念是通用的，一般都是有效的。然而，他们没有具体说明如何执行PPC任务。有许多程序可用于具体履行PPC任务。这些行动在所需的努力、结果及其对后勤和其他目标的影响方面有很大的不同。今天，没有持续和一致的收集和描述这些PPC程序。在文献中可以找到几种方法来选择完成PPC任务的程序。这些方法使用不同的选择标准，但是非常通用，并且还没有为PPC配置提供全面的解决方案。因此，PPC设计对公司来说仍然是一个巨大的挑战，特别是因为不同PPC程序和组合的具体效果并不透明。只有在个别任务中，PPC程序对物流目标的影响才有高度集中的研究。一方面，完成PPC任务的程序应该以统一的形式和语言收集、组织和描述。另一方面，PPC程序对物流目标的直接或间接影响应进行定性研究。该研究项目的成果将被整合到汉诺威供应链模型框架中，从而使科学界和工业界都能使用。因此，第一次在整个PPC和整个公司的内部供应链中全面系统地连接了完成PPC任务的程序及其对物流目标数字的具体影响。这使知识系统化，并创造新的知识。因果关系的基本公式以及适当结构和可视化的使用创造了透明度，并增加了对PPC中复杂因果关系的理解。因此，支持公司审查其PPC中的弱点和目标符合性，并评估PPC中改进措施的效果。