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Evaluation of the competitive potential of production technologies

Evaluation of the competitive potential of production technologies
生产技术竞争潜力评估
批准号:
431696521
负责人:
Professor Dr.-Ing. Gunther Reinhart
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2019
资助国家:
德国
项目状态:
已结题
起止时间:
2018-12-31 至 2022-12-31

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中文摘要
翻译
为了能够在全球竞争中保持成功,制造公司必须以有效和高效的方式利用现有的生产技术。由于它们的进化发展,现在和未来存在的技术范围也在不断发展。此外,战略技术决策是制造企业市场地位的趋势设定。因此,技术决策需要在结构化和有根据的基础上做出。过去的研究活动集中于技术准备程度的评价,这代表了一项技术的现状,或者只考虑技术潜力的特定方面。为了建立和利用战略竞争优势,必须全面考虑未来的技术潜力。因此,将采用考虑不确定性的定量数据方法,开发一种综合潜力评价方法。首先,本文列出了影响技术潜力的相关因素和聚集性因素。为了适当地对这些因素进行建模,将确定、分类合适的建模方法,并引入一个选择程序。在聚类影响因素和确定的建模方法的基础上,导出组件模型,然后将组件模型聚合为综合技术潜力模型。
英文摘要
In order to be able to remain successful in global competition, manufacturing companies have to utilize their available production technology in an effective and efficient way. Due to their evolutionary development, the range of existent technologies in present and future is evolving continuously. Furthermore, strategic technology decisions are trend-setting for the market position of manufacturing companies. Consequently, technology decisions need to be made on a structured and substantiated basis. Past research activities focused on the evaluation of technology readiness, which represents the status-quo of a technology, or consider only particular aspects of the technology potential. To establish and harness strategic competitive advantages the holistic consideration of future technology potentials is necessary. Therefore, an approach for an integrational potential evaluation will be developed using a quantitative data approach under consideration of uncertainties. Firstly a catalogue of relevant and clustered influencing factors on the technology potential will be presented. In order to model the factors appropriately, suitable modelling methods will be identified, classified and a selection procedure will be introduced. Based on the clustered influencing factors and the identified modelling methods, component models which are then aggregated to a comprehensive technology potential model will be derived.
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