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Creation of configurations for an assembly system with a scalable level of automation

机译:创建具有可扩展自动化级别的装配系统配置

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Due to shortened product lifecycles and an increasing number of variants, the need for scalable assembly systems is rising. This trend is even stronger in the production of emerging technologies. An important step in the planning of a scalable assembly system is the creation of system configurations. State of the art is a scaling of the system from a manual, over semi-automated to an automated system during the start of production. This process is very rigid and does not offer the flexibility which is necessary to react to highly volatile influencing factors. The authors have identified the urgent need for a thorough scenario analysis to adequately consider the risk in predicting volatile influencing factors. In this paper, a two-part methodology is proposed considering multiple scaling mechanisms allowing for a swift and cost-effective adaptation to external factors. The first part is concerned with the scenario analysis. In this part, the planner has to identify the volatile receptors that influence their production. For each of the identified receptors, market studies and workshops with internal experts are conducted to develop a detailed scenario analysis, modelled in a modified BPMN logic. In the second part, the planner needs to develop production system configurations according to the results of the scenario analysis. The appropriate scaling mechanisms are chosen based on the volatile receptors. The application of these mechanisms on station level results in various station concepts satisfying the entire range of expected values within the volatile receptors.
机译:由于产品生命周期缩短和越来越多的变体,需要可扩展的装配系统的需求正在上升。这种趋势在新兴技术的生产中甚至更强大。规划可扩展组装系统的一个重要步骤是创建系统配置。最先义的是从制作开始时从手动的系统缩放系统,通过半自动化到自动化系统。该过程非常僵硬,并且不提供对高度挥发性影响因素做出反应所必需的灵活性。作者确定了迫切需要进行全面的情景分析,以充分考虑预测挥发性影响因素的风险。在本文中,提出了一种考虑多个缩放机制,允许迅速和与外部因素进行成本有效的适应性的两部分方法。第一部分涉及场景分析。在这一部分中,规划师必须识别影响其生产的挥发性受体。对于每个已识别的受体,市场研究和带内部专家的研讨会进行了详细的情景分析,以修改的BPMN逻辑建模。在第二部分中,规划师需要根据场景分析的结果开发生产系统配置。基于挥发性受体选择适当的缩放机制。这些机制在站级的应用导致各种站概念,其满足挥发性受体内的整个预期值范围的概念。

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