Purpose

The purpose of this study intends to make a characterization of a shop floor management (SFM) system in the context of smart manufacturing, through smart technologies and digital shop floor (DSF) features.

Design/methodology/approach

To attain the paper objective, a mixed method methodology was used. In the first stage, a theoretical background was carried out, to provide a comprehensive understanding on SFM system in a smart manufacturing perspective. Next, a case study within a survey was developed. The case study was introduced to characterize a SFM system, while the survey was made to understand the level of influence of smart manufacturing technologies and of DSF features on SFM. In total, 17 experts responded to the survey.

Findings

Data analytics is the smart manufacturing technology that influences more the SFM system and its components and the cyber security technology does not influence it at all. The problem solving (PS) is the SFM component more influenced by the smart manufacturing technologies. Also, the use of real-time digital visualization tools is considered the most influential DSF feature for the SFM components and the data security protocols is the least influential one. The four SFM components more influenced by the DSF features are key performance indicator tracking, PS, work standardization and continuous improvement.

Research limitations/implications

The study was applied in one multinational company from the automotive sector.

Originality/value

To the best of the authors’ knowledge, this work is one of the first to try to characterize the SFM system on smart manufacturing considering smart technologies and DSF features.

中文翻译：

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智能制造中的车间管理系统：一个案例研究

目的

这项研究的目的是通过智能技术和数字车间（DSF）功能，在智能制造的背景下对车间管理（SFM）系统进行表征。

设计/方法/方法

为了达到本文的目的，使用了一种混合方法方法。在第一阶段，进行了理论背景研究，以智能制造的角度全面了解SFM系统。接下来，开发了调查中的案例研究。介绍了该案例研究以表征SFM系统，同时进行了调查以了解智能制造技术和DSF功能对SFM的影响程度。共有17位专家回应了调查。

发现

数据分析是一种智能制造技术，对SFM系统及其组件的影响更大，而网络安全技术则根本不影响它。解决问题（PS）是受智能制造技术影响更大的SFM组件。同样，对于SFM组件，实时数字可视化工具的使用被认为是最有影响力的DSF功能，而数据安全协议则是影响最小的功能。DSF功能影响更大的四个SFM组件是关键性能指标跟踪，PS，工作标准化和持续改进。

研究局限/意义

该研究被应用于汽车领域的一家跨国公司。

创意/价值

据作者所知，这项工作是第一个尝试在考虑智能技术和DSF功能的情况下在智能制造上表征SFM系统的工作。