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An explorative approach to deriving future scenarios: A first comparison of the consistency matrix-based and the catalog-based approach to generating future scenarios

机译:导出未来情景的探索方法:基于一致性矩阵和基于目录的方法生成未来情景的第一次比较

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The development of robust products, meaning products that are successful regardless of changes in the future, requires an assessment of possible futures. This makes it possible to adapt to negative and unexpected conditions or circumstances. For this reason, future scenarios are developed that reflect possible futures based on influencing factors and their alternative developments on the product or system. For each factor, multidimensional future projections can be found, which are then evaluated for consistency. Up to now, scenarios have been created using the scenario management approach, which is based on consistency assessment of future projections pairs of key factors, or morphological methods (e.g. field anomaly relaxation). Both approaches are based at least in part on a plausibility check. On the one hand this leads to a high expenditure of time in scenario management, and on the other hand morphological methods consider a limited number of factors, which reduces the future space and thus limits informative value of the scenarios. In this research contribution, an explorative approach to deriving future scenarios is proposed that integrates morphological elements into scenario management. This significantly reduces the time required to generate future scenarios without having to reduce the number of considered key factors. First, the proposed approach is described with a process model. Second, the proposed form of scenario generation, the catalog-based scenario generation, is compared with the previously used approach to scenario generation with regard to advantages and disadvantages. Finally, the suitability for PGE - product generation engineering projects is evaluated, in particular regarding replicability, comprehensibility, effort and the completeness of the described future space.This is done by conducting three structured expert interviews and two case studies. Thereby, scenarios are created with both approaches. The criteria to evaluate the approaches are defined by a panel of experts on PGE.
机译:强大的产品的发展,意味着未来变化的产品成功,需要评估可能的未来。这使得可以适应负面和意外的条件或情况。出于这个原因,开发了未来的情景,反映了基于影响因素的可能期货及其产品或系统的替代发展。对于每个因素,可以找到多维未来的预测,然后评估一致性。到目前为止,已经使用方案管理方法创建了方案,该方案管理方法是基于未来预测的一致性评估的关键因素或形态学方法(例如,田间异常放松)。两种方法至少部分地基于合理性检查。一方面,这导致了方案管理中的高空时间,另一方面,形态学方法考虑有限数量的因素,这减少了未来的空间,从而限制了场景的信息价值。在本研究贡献中,提出了一种促进导出未来情景的探索方法,将形态素集成到场景管理中。这显着减少了生成未来情景所需的时间,而无需减少所考虑的关键因素的数量。首先,用过程模型描述所提出的方法。其次,拟议的情景生成形式,基于目录的场景生成,与关于优点和缺点的先前使用的方案生成方法进行比较。最后,评估了PGE - 产品生成工程项目的适用性,特别是关于所描述的未来空间的可复制性,可理性,努力和完整性。这是通过进行三种结构化专家访谈和两个案例研究来完成的。由此,使用这两种方法创建方案。评估方法的标准由PGE上专家小组定义。

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