Operationalising data-oriented shopfloor management: a socio-technical reference framework
本文提出了一个面向实施的参考框架，将车间管理的五个维度转化为22个实践导向的设计要点，并通过专家访谈和案例验证，帮助管理者将数据有效融入日常决策。
Digitalisation and datafication are reshaping shopfloor management (SFM), yet many initiatives still digitise artefacts without improving decision-making or control. Building on data-oriented SFM, this paper develops an implementation-oriented reference framework that translates five aggregated dimensions — development path and implementation plan, process organisation, organisational structure, cross-functional operating model, and information system — into practice-oriented design impulses across 22 second-order themes. Using practice-based design science research, the framework adopts a socio-technical perspective that integrates technology, organisation, and human labour to make data decision- and action-effective in shopfloor routines. Empirical validation through eight expert interviews and an illustrative case study on organisational structure indicates high perceived usefulness, coherence, and completeness, and suggests improved integration of data into operational decision-making. The framework is proposed as an open, modular guideline for context-specific implementation paths, with future potential in AI-supported decision logic and low-threshold entry scenarios.