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Dynamic planning and multicriteria scheduling of turned parts' production

机译:车削零件生产的动态计划和多准则计划

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摘要

Technical innovations in the area of manufacturing logistics are being introduced partially and thus not exploiting their full potential. In order to optimise the efficiency of turning manufacturing processes, the process has been analysed and fundamentally re-engineered. All data from production (operations, quantities, date, time duration of operations, etc.) are now located in ERP system. It provided the necessary condition for the establishment of a robust dynamic planning model. An update was required for the whole lifecycle of products and means of work. The paper presents the information support and an algorithm for a dynamic planning model, based on a genetic algorithm. Continuous data capturing and planning in real time are a breakthrough in the management of the process. Presented are a generalised dynamic planning model and a case example from the production of turned parts, which take account of the singularities of a real environment. Production capacities have to be linked up with the supply chain and customers. The presented dynamic planning model can be adapted to various types of production.
机译:制造业物流领域的技术创新正在部分引入,因此没有充分发挥其潜力。为了优化车削制造过程的效率,已对过程进行了分析并从根本上进行了重新设计。现在,来自生产的所有数据(工序,数量,日期,工序持续时间等)都位于ERP系统中。它为建立健壮的动态计划模型提供了必要条件。产品和工作方式的整个生命周期都需要更新。本文提出了一种基于遗传算法的信息支持和动态规划模型算法。实时的连续数据采集和计划是过程管理的突破。提出了一个通用的动态计划模型和一个车削零件生产的案例示例,其中考虑了实际环境的奇异之处。生产能力必须与供应链和客户联系起来。提出的动态计划模型可以适应各种类型的生产。

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