MBA教育中心知识库

在全球化竞争日益激烈的今天，数字化、智能化生产已成为制造业企业追求高效、低成本生产的核心战略。本研究围绕东方集团展开，深入探讨了在数智技术支持下精益生产体系的优化策略，目的是通过技术创新推动企业生产管理向更高效、更灵活的方向发展。

东方集团，一家专业从事面条制造设备生产的企业，长期面临诸多挑战，包括但不限于传统的生产效率低下、产品质量波动大、生产成本持续上升以及生产设备自动化程度不高，整线智能化水平低等问题。这些问题严重影响了企业的市场竞争力。通过对企业当前生产管理体系的深入分析，研究揭示了问题的本质在于以往的生产管理模式已经无法适应快速变化市场的需求，缺乏有效的生产计划和控制机制，以及生产过程中技术和工艺控制不足。

针对上述问题，本研究提出了一套利用数智技术全面改善企业当前生产的优化方案。该方案涵盖了从现场管理持续改进、数智化生产工具的引入、变更沟通效率的提升，到技术和工艺控制的优化、质量检测与反馈改进、原材料和生产成本的控制等多个方面。方案的核心在于深度融合数智技术，包括但不限于建立企业级“生产云”、运用大数据分析辅助决策、采用区块链技术确保数据安全、以及利用物联网技术提升维护和监控能力。

方案实施后的评估结果表明，东方集团在生产体系优化方面取得了显著成效，不仅生产运行效率、产品加工质量得到了有效提升，生产成本也得到了有效控制，同时企业的数字化装备水平和智能化运管水平得到了提高，企业数智化管理手段得到加强。此外，研究还提出了一系列保障措施，包括建立健全的制度保障、加强人才培训和保障、以及制定和实施长期精益生产战略，以确保优化成果的持续性和稳定性。

In today's increasingly fierce global competition, digital and intelligent production has become the core strategy for manufacturing enterprises to pursue efficient and low-cost production. This study focuses on Dongfang Group and explores in depth the optimization strategies of lean production systems supported by digital technology. The aim is to promote the development of enterprise production management towards more efficient and flexible directions through technological innovation.

Dongfang Group, a professional enterprise engaged in the production of noodle manufacturing equipment, has long faced many challenges, including but not limited to traditional low production efficiency, large fluctuations in product quality, continuous increase in production costs, low automation level of production equipment, and low level of intelligent production line. These issues seriously affect the market competitiveness of enterprises. Through in-depth analysis of the current production management system of the enterprise, the study reveals that the essence of the problem lies in the fact that previous production management models are no longer able to adapt to the rapidly changing market demands, lack effective production planning and control mechanisms, and insufficient technology and process control in the production process.

In response to the above issues, this study proposes an optimization plan that utilizes digital intelligence technology to comprehensively improve the current production of enterprises. This plan covers multiple aspects, including continuous improvement of on-site management, introduction of digital production tools, improvement of change communication efficiency, optimization of technology and process control, improvement of quality testing and feedback, control of raw materials and production costs, etc. The core of the plan lies in the deep integration of digital intelligence technology, including but not limited to establishing an enterprise level "production cloud", using big data analysis to assist decision-making, using blockchain technology to ensure data security, and utilizing Internet of Things technology to enhance maintenance and monitoring capabilities.

The evaluation results after the implementation of the plan indicate that Dongfang Group has achieved significant results in optimizing its production system. Not only has production and operation efficiency been effectively improved, product processing quality has been effectively improved, production costs have also been effectively controlled, and the digital equipment level and intelligent operation management level of the enterprise have been improved. The digital management methods of the enterprise have been strengthened. In addition, the study also proposed a series of safeguard measures, including establishing sound institutional guarantees, strengthening talent training and guarantee, and formulating and implementing long-term lean production strategies to ensure the sustainability and stability of optimized results.