Evaluation Model for Mobility Design of Learning Factories

Evaluation Model for Mobility Design of Learning Factories
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学习工厂移动性设计评价模型

DOI:
10.1016/j.procir.2020.02.224
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发表时间:
2020
期刊:
Procedia CIRP
影响因子:
--
通讯作者:
Holger Kohl
Holger Kohl
中科院分区:
--
文献类型:
--
作者:
Natalie Petrusch;Wolf Schliephack;Holger Kohl

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产品生命周期的缩短和日益激烈的全球竞争导致公司必须变得灵活和能够改变。变革项目的成功实施在很大程度上取决于运营人员的理解与合作。为此,在各级获得知识和能力至关重要。学习工厂是这方面最可持续的概念之一。然而,关于工业应用,学习工厂需要高投资成本,并且在专用设施和学习内容方面相对不灵活。这揭示了学习工厂在工业环境中的成功与其流动性之间的联系。为了能够更准确地评估学习工厂的流动性设计方法,确定了流动性的决定性驱动因素。对这些驱动因素对流动性影响程度的评估,以及对可能限制的严格考虑,导致了学习工厂流动性设计的评估模型。随后,这个模型进行了测试,将其应用到一个成功运作的学习工厂。
Shortening product life cycles and increasing, global competition lead to the necessity for companies to become flexible and able to change. The successful conduction of change projects depends to a large extent on the understanding and cooperation of the operating people. The acquisition of knowledge and thus of competence at all levels is of fundamental importance for this. Learning Factories are one of the most sustainable concepts in this respect. Concerning the industrial application, however, Learning Factories require high investment costs and are relatively inflexible in respect to their dedicated facilities and their learning content. This reveals a connection between the success of a Learning Factory in an industrial context and its mobility. In order to be able to evaluate approaches towards the mobility design of Learning Factories more precisely, the decisive drivers for mobility are identified. The assessment of these drivers with regard to the extent of influence on mobility, but also the critical consideration of possible limits, lead to an evaluation model for the mobility design of Learning Factories. Subsequently, this model is tested by applying it to a successfully operating Learning Factory.
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