Adaptive Management Shell for Mapping the Process Capability of Manufacturing Components: A Systematic Mapping Study

David Heik, Javad Ghofrani, Dirk Reichelt
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Abstract

Being successful and competitive on the market means that companies have to adapt to the demands of their customers. Personalised products are increasingly becoming a matter of course for consumers, which leads to a reduction in the number of similar orders for manufacturing companies. To satisfy these requirements, new information and communication technologies are needed in industrial manufacturing. Industry 4.0 aims to address these challenges. However, many approaches are not yet implemented or mature, so there is a need for further research in this field. For this reason, a comprehensive and systematic mapping study was conducted to structure and categorize the current state of research in the field of self-describing and self-organizing manufacturing. The literature considered was published between January 2014 and May 2019. The research carried out is based on the guidelines for conducting systematic mapping studies. With regard to the technical implementation of this technology, a number of research questions are carefully defined. Based on these questions, data from different levels of information are extracted and analyzed for the considered papers. The study results show in which areas more work is required and where there are future research perspectives. Furthermore, this study can help to better understand the field of research and the research gaps identified.
制造组件过程能力映射的自适应管理外壳:系统映射研究
要想在市场上取得成功并具有竞争力,就意味着公司必须适应客户的需求。个性化产品对消费者来说日益成为一件理所当然的事情,这导致制造公司的类似订单数量减少。为了满足这些需求,工业制造需要新的信息和通信技术。工业4.0旨在解决这些挑战。然而,许多方法尚未实现或成熟,因此需要在该领域进行进一步的研究。为此,本文对自描述自组织制造领域的研究现状进行了全面、系统的梳理和分类。所考虑的文献发表于2014年1月至2019年5月之间。所进行的研究是基于进行系统测绘研究的指导方针。关于该技术的技术实现,仔细界定了一些研究问题。基于这些问题,从不同层次的信息中提取数据,并为考虑的论文进行分析。研究结果表明,哪些领域需要更多的工作,哪些领域有未来的研究前景。此外,本研究有助于更好地了解研究领域和研究空白确定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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