TOE分析框架下的数字化车间建设探索

Exploring the Construction of Digital Workshops within the TOE Analysis Framework

摘要: 在智能制造与数字化转型浪潮下，数字化车间已成为卷烟企业提质增效与构建核心竞争力的关键载体。本文基于TOE (技术–组织–环境)理论框架，系统剖析卷烟生产(涵盖制丝、卷包、成型等核心工艺)数字化车间建设的关键影响因素与协同驱动机制。研究指出，其建设是一个由技术集成、组织变革与环境适配共同驱动的系统工程。技术维度是基础，需融合物联网、数字孪生与制造执行系统(MES)以实现数据采集、流程可视与智能决策；组织维度是保障，依赖于管理支持、结构优化与人才培养；环境维度是支撑，受政策引导、行业标准与产业链协同影响。在此基础上，本文构建了“数据与感知层筑基–流程与业务层重构–生态与智能层融合”的三阶段渐进式建设路径，并结合行业实践展望了数字孪生与人工智能深度融合的未来趋势。本研究为卷烟行业乃至流程工业的数字化车间建设提供了系统的理论分析框架与可操作的路径参考。

Abstract: Under the tide of intelligent manufacturing and digital transformation, the digital workshop has become a pivotal vehicle for cigarette enterprises to enhance quality, efficiency, and build core competitiveness. Based on the Technology-Organization-Environment (TOE) theoretical framework, this paper systematically dissects the key influencing factors and synergistic driving mechanisms behind the construction of digital workshops for cigarette production, encompassing core processes such as tobacco cutting, cigarette making & packaging, and filter rod forming. The study argues that this construction constitutes a systematic engineering project jointly driven by technological integration, organizational change, and environmental adaptation. The technological dimension serves as the foundation, requiring the integration of the Internet of Things (IoT), digital twins, and Manufacturing Execution Systems (MES) to achieve data acquisition, process visualization, and intelligent decision-making. The organizational dimension acts as the safeguard, relying on management support, structural optimization, and talent cultivation. The environmental dimension provides the support, being influenced by policy guidance, industry standards, and industrial chain collaboration. Building on this analysis, this paper constructs a three-stage progressive construction path: “Foundational Data and Perception Layer-Reconstructed Process and Business Layer-Integrated Ecosystem and Intelligence Layer.” Combined with industry practice, it also forecasts the future trend of deep integration between digital twins and artificial intelligence. This research provides a systematic theoretical analysis framework and an actionable path reference for digital workshop construction in the cigarette industry and even process industries at large.