Multivariable automation decisions for volume and product-flexible flow assembly

现有的确定装配线最佳自动化水平的方法没有考虑生产环境作为分类选择标准。他们也缺乏足够的决策理论基础。此外，没有一种方法可以确定自动化的经济水平，因为自动化的经济水平是建立在必要程度的适应性基础之上的。在现有的研究项目中，只开发了实现适应性装配系统结构的方法，而没有获得必要的适应性水平。此外，这些方法不是动态工作的，而是静态工作的。因此，不可能根据项目的投资额调整规划工作，以有效地实施较小的项目。因此，本研究项目旨在开发一种方法来确定体积和产品柔性流装配的最佳自动化水平。该方法支持在规划的早期阶段基于多变量标准的自动化决策。通过选择和关注与生产环境相关的决策因素，提高企业的决策能力。运用决策理论和投资计算方法，提高决策质量。决策的努力将会减少，从而导致调整，减少投资额。为此，在软件工具中开发并实现了一种分析方法。

Existing methods for determining the optimal level of automation of an assembly line do not take account of the production environment as classified selection criteria. They also lack a sufficient decision-theoretical foundation. Moreover, no method exists to determine the economic level of automation, which is based on a necessary degree of adaptability. In existing research projects only methods for achieving an adaptable assembly system structure have been developed without deriving the necessary level of adaptability. In addition, the methods are not working dynamically but statically. Because of this, it is not possible to adapt the planning effort on the investment volume of the project to efficiently implement smaller projects.Therefore this research project aims to develop a method for determining the optimal level of automation of a volume and product-flexible flow assembly. The method supports automation decisions based on multivariable criteria in early stages of planning. The decision-making ability is boosted by selecting of and focusing on production environment context-relevant decision factors. The decision quality will be improved by using methods of the decision theory and the investment calculation. The effort for making decisions will be reduced which in turn leads to adjustment reduction of investment volumes. For this purpose, an analysis method is developed and implemented in a softwaretool.