🔬 案例分析 | Case Studies
客户至上灯塔 | Customer Centricity
1. Merck Biotech Development Center (Fenil-sur-Corsier, Switzerland) — 客户至上 | Customer Centricity [24716CH01]
这家生物技术开发中心为提效降本、提升生产柔性，将生物制剂的批次式生产升级为连续化加工，并对工艺研发与GMP临床生产体系完成全面重构。该数字化工厂以加快新药落地、惠及患者为核心目标，依托自动化设备、机器人技术与模块化生产环境，让科研人员专注于高价值工作。 | To improve productivity, reduce cost of goods and increase manufacturing flexibility, the Biotech Development Center shifted biologics production from batch to continuous processing, reimagining both process development and GMP clinical manufacturing.
药物交付效率↑50% | 实验室劳动生产率↑67% | 新建工厂资本开支↓80%|Speed to patient ↓50% | Lab productivity ↑67% | Capex ↓80%
📌 核心用例 | Use Cases
- 连续化生物制剂生产|Continuous Biologics Manufacturing
- 自动化模块化GMP生产|Automated Modular GMP Production
- 机器人辅助实验室运营|Robotics-Assisted Lab Operations
📊 关键绩效 | Key KPIs
- 新药交付周期缩短50%|Time to patient ↓50%
- 实验室劳动生产率提升67%|Lab productivity ↑67%
- 新建商业化工厂资本开支降低80%|Capex for new plant ↓80%
2. NIO Hefei (合肥, China) — 客户至上 | Customer Centricity [24816CN02]
行业竞争日趋激烈，电动汽车企业亟需加快产品迭代、强化定制能力，并推动研发、制造、质检等部门高效协同。合肥工厂为此搭建实时闭环系统，深度融合车载智能、换电网络与数字孪生平台，可支撑超360万种车辆配置管理。 | Intensifying competition in the EV sector demands faster product development, customization and integration. The Hefei site created a real-time closed-loop system connecting in-vehicle AI, battery swap networks and a digital twin platform.
产品上市速度↑44% | 研发自动化率90% | 管理360万+车辆配置|Speed-to-market ↑44% | R&D automation 90% | 3.6M+ configs
📌 核心用例 | Use Cases
- 车载AI实时闭环系统|In-Vehicle AI Real-Time Closed-Loop
- 换电网络智能调度|Battery Swap Network Smart Dispatch
- 超大规模数字孪生平台|Large-Scale Digital Twin Platform
📊 关键绩效 | Key KPIs
- 产品上市速度提升44%|Speed-to-market ↑44%
- 研发流程自动化率达到90%|R&D automation 90%
- 可管理360万+车辆配置|Manages 3.6M+ vehicle configs
3. Royal Canin Shanghai (上海, China) — 客户至上 | Customer Centricity [24916CN03]
随着个性化、营养型宠物护理需求持续攀升，这座工厂在坚守品质、保障高效响应的基础上，可产出超400款不同规格产品。厂区在农业采购、生产制造、售后服务全流程落地生成式AI、高级分析等四十余项先进技术。 | Growing demand for personalized, nutrition-based pet care required the site to deliver more than 400 SKUs while maintaining quality and agility. By deploying over 40 advanced solutions including GenAI and advanced analytics.
客户满意度↑20% | 产品缺陷率↓70% | 服务水准98%+|Customer satisfaction ↑20% | Defects ↓70% | Service >98%
📌 核心用例 | Use Cases
- 生成式AI个性化宠物营养方案|GenAI Personalized Nutrition
- 全流程智能品控系统|End-to-End Smart Quality Control
- AI驱动农业采购优化|AI-Driven Agricultural Sourcing
📊 关键绩效 | Key KPIs
- 客户满意度提升20%|Customer satisfaction ↑20%
- 线上产品缺陷率下降70%|In-line defects ↓70%
- 服务水准稳定保持98%以上|Service level >98%
4. Schneider Electric El Paso (El Paso, United States) — 客户至上 | Customer Centricity [25016US04]
数据中心市场需求激增，大幅增加了工厂定制化全链路的运营难度，生产、测试、物流环节均遭遇发展瓶颈。厂区落地数据工程、集成物流、工业物联网及前沿人工智能技术。 | Rapid growth in data centre demand significantly increased complexity across the ETO value chain. By leveraging data engineering, integrated logistics, industrial IoT and advanced AI solutions.
准时交付率 61%→97% | 交付周期↓35% | 清理$43M积压|OTD 61%→97% | Lead time ↓35% | $43M backorders cleared
📌 核心用例 | Use Cases
- 数据工程与集成物流平台|Data Engineering & Integrated Logistics
- 工业IoT实时监控|Industrial IoT Real-Time Monitoring
- AI驱动的定制化排产|AI-Driven Customized Scheduling
📊 关键绩效 | Key KPIs
- 准时交付率从61%提升至97%|OTD 61%→97%
- 交付周期缩短35%|Lead time ↓35%
- 清理4300万美元积压订单|$43M backorders eliminated
生产效率灯塔 | Productivity
5. China Merchants Heavy Industry Haimen (海门, China) — 生产效率 | Productivity [25116CN05]
LNG运输船与绿色船舶需求持续走高，令这家船厂面临生产复杂度增加、规划体系分散、交付周期拉长等难题。厂区落地AI智能排程、数字孪生装配、准时制物流等25余项数字化方案。 | Driven by growing demand for LNG carriers, the shipyard faced increasing complexity. By deploying more than 25 digital solutions including AI-driven planning, digital twin assembly and just-in-time logistics.
产能2.6倍 | 船坞周期↓52% | 一次装配合格率↑25%|Throughput 2.6x | Dock time ↓52% | Assembly yield ↑25%
📌 核心用例 | Use Cases
- AI智能排产系统|AI Smart Production Scheduling
- 数字孪生装配平台|Digital Twin Assembly Platform
- 准时制物流管理系统|Just-in-Time Logistics Management
📊 关键绩效 | Key KPIs
- 产能吞吐量提升至2.6倍|Throughput increased 2.6-fold
- 船坞占用周期缩短52%|Dock time fell by 52%
- 一次装配合格率提升25%|First-pass assembly yield ↑25%
6. CIMC Reefer Containers Jiaozhou (胶州, China) — 生产效率 | Productivity [25216CN06]
全球贸易波动加剧，市场对冷藏集装箱的隔热性能与耐用性要求不断提升，传统制造模式承压明显。该工厂落地50余项数字化及人工智能应用，优化资源配置与生产工艺。 | Increasing volatility in global trade challenged traditional manufacturing of reefer containers. By deploying more than 50 digital and AI solutions to optimize resource allocation and production processes.
交付周期↓32% | 缺陷率↓47% | 加工成本↓24%|Lead time ↓32% | Defects ↓47% | Conversion cost ↓24%
📌 核心用例 | Use Cases
- AI驱动的生产流程优化|AI-Driven Production Optimization
- 智能质量检测系统|Smart Quality Inspection System
- 数字化的资源动态配置|Digital Resource Dynamic Allocation
📊 关键绩效 | Key KPIs
- 制造交付周期缩短32%|Lead times ↓32%
- 产品缺陷率下降47%|Defects ↓47%
- 加工成本降低24%|Conversion costs ↓24%
7. DCM Shriram Gujarat (古吉拉特, India) — 生产效率 | Productivity [25316IN07]
作为印度规模最大的单体烧碱生产基地，该厂下游产业链整合度不足。身处电力开支占比偏高的能源密集型领域，企业盈利承压加剧。落地45项先进技术方案，涵盖AI过程控制、生成式AI运维管理系统。 | As India largest single-site caustic soda producer, the site faced margin pressure. 45 solutions including AI process control and GenAI maintenance manager.
EBITDA↑11pp | 电力成本↓32% | 原料↓15% | CO₂↓14%|EBITDA ↑11pp | Power ↓32% | Materials ↓15% | CO₂ ↓14%
📌 核心用例 | Use Cases
- AI过程控制系统|AI Process Control System
- 生成式AI运维管理|GenAI-Enabled Maintenance Manager
- 能源优化管理|Energy Optimization Management
📊 关键绩效 | Key KPIs
- EBITDA提升11个百分点|EBITDA ↑11pp
- 电力成本下降32%|Power costs ↓32%
- 二氧化碳排放减少14%|CO₂ emissions ↓14%
8. Hitachi Vantara Manufacturing Norman (Norman, United States) — 生产效率 | Productivity [25416US08]
伴随AI基础设施需求快速增长，该厂聚焦高端定制化存储解决方案业务。将库存可视化与智能决策能力接入全球数字化平台，并上线AI配置自动化系统。 | As demand for AI infrastructure accelerated, the site shifted toward customized storage solutions. By integrating inventory visibility and deploying AI config automation.
库存↓50% | 交付周期↓77% | 端到端协同调度平台|Inventory ↓50% | Order-to-ship ↓77% | E2E orchestration
📌 核心用例 | Use Cases
- 全球数字化库存管控平台|Global Digital Inventory Control
- AI配置自动化系统|AI-Enabled Configuration Automation
- 端到端协同调度体系|Proactive End-to-End Orchestration
📊 关键绩效 | Key KPIs
- 库存总量减少50%|Inventory reduced by 50%
- 订单交付周期缩短77%|Order-to-ship lead times ↓77%
- 搭建前瞻式端到端协同调度体系|Proactive E2E orchestration model
9. Rockwell Automation Singapore (新加坡, Singapore) — 生产效率 | Productivity [25516SG09]
该厂采用多品种、小批量生产模式，管理超千类SKU，年度产线换线次数逾20,000次。落地柔性自动化、AI质量管控、智能运维等50多项数字化及智能方案。 | Operating high-mix low-volume with 1000+ SKUs and 20,000+ changeovers. By deploying 50+ solutions: flexible automation, AI QC and intelligent maintenance.
人均产能↑43% | 缺陷率↓35% | 培训周期↓67%|Units/pph ↑43% | Defects ↓35% | Time-to-competency ↓67%
📌 核心用例 | Use Cases
- 柔性自动化生产线|Flexible Automation Production Line
- AI驱动的质量控制系统|AI-Enabled Quality Control
- 智能运维与预测性维护|Intelligent Maintenance & Predictive
📊 关键绩效 | Key KPIs
- 人均产能提升43%|Units per person-hour ↑43%
- 产品缺陷率下降35%|Defects reduced by 35%
- 新员工培训周期缩短67%|Time-to-competency ↓67%
10. Taiji Group Fuling Pharmaceutical (SINOPHARM) (重庆, China) — 生产效率 | Productivity [25616CN10]
传统中医药生产多依赖人工经验与定性管控，在兼顾量产、小单及定制化需求的同时，难以稳定产品品质。落地三十余项先进技术方案，依托数字化炒制标准、精准质量标志物分析。 | Traditional Chinese medicine production historically relied on manual expertise. The site deployed 30+ solutions including digital frying standards and quality-marker analytics.
质量偏差↓33% | OEE↑13% | 成本↓10% | 隐性经验数字化|Quality variation ↓33% | OEE ↑13% | Cost ↓10% | Tacit knowledge digitized
📌 核心用例 | Use Cases
- 数字化炒制标准体系|Digital Frying Standards System
- 智能质量标志物分析|Advanced Quality-Marker Analytics
- 传统工艺知识数字化沉淀|Tacit Knowledge Digital Capture
📊 关键绩效 | Key KPIs
- 批次间质量偏差缩减33%|Batch quality variation ↓33%
- 设备综合效率提升13%|OEE ↑13%
- 生产成本下降10%|Production costs ↓10%
供应链韧性灯塔 | Supply Chain Resilience
11. Unilever Haridwar (哈里瓦, India) — 供应链韧性 | Supply Chain Resilience [25716IN11]
原本面向大规模量产打造，但随着电商发展、小批量订单增多，SKU数量增长50%，需求波动幅度扩大四倍。搭建端到端工业4.0生态系统，融合AI智能排产、智慧采购与磁悬浮制造技术。 | Faced 50% SKU growth and 4x demand volatility. By implementing E2E 4IR ecosystem: AI planning, smart sourcing and magnetic levitation manufacturing.
响应时间↓72% | 换线效率↑40% | 最小起订量↓40% | 服务99%|Response ↓72% | Changeover ↑40% | MOQ ↓40% | Service 99%
📌 核心用例 | Use Cases
- AI智能排产系统|AI-Enabled Planning System
- 智慧采购平台|Smart Sourcing Platform
- 磁悬浮制造技术|Magnetic Levitation Manufacturing
📊 关键绩效 | Key KPIs
- 订单响应时间缩短72%|Response times ↓72%
- 产线换线效率提升40%|Changeovers accelerated by 40%
- 服务水准升至99%|Service levels improved to 99%
12. RRS Qingdao Smart Logistics Park (青岛, China) — 供应链韧性 | Supply Chain Resilience [25816CN12]
大件物流交付时效竞争不断加剧，加之B2B、B2C混合订单需求持续增长，传统履约模式渐显乏力。搭建AI赋能平台，依托订单履约、仓储、车辆调度、承运商竞价等模块智能决策。 | Time-to-delivery competition intensified and hybrid B2B/B2C demand surged. AI platform: intelligent decision-making across fulfilment, warehouse, scheduling and bidding.
响应速度↑48% | 库存周转↑40% | 运输成本↓23%|Response time ↑48% | Inventory turnover ↑40% | Transport cost ↓23%
📌 核心用例 | Use Cases
- AI驱动的订单履约系统|AI Order Fulfilment System
- 智能仓储运营平台|Smart Warehouse Operations Platform
- 动态车辆调度与承运竞价|Dynamic Scheduling & Carrier Bidding
📊 关键绩效 | Key KPIs
- 整体响应速度提升48%|Response time increased by 48%
- 库存周转率提高40%|Inventory turnover improved by 40%
- 运输成本下降23%|Transportation costs ↓23%
可持续灯塔 | Sustainability
13. Unilever Sonepat (索尼帕特, India) — 可持续 | Sustainability [25916IN13]
厂区所在地存在地下水枯竭、能源碳排放偏高的问题。在可再生原料采购、水资源管控、能源体系等环节落地AI技术方案，实现范围1、2碳排放降幅达99%。 | Facing groundwater depletion and carbon-intensive energy. AI solutions across regenerative sourcing, water management and energy systems. Scope 1&2 emissions ↓99%.
范围1+2排放↓99% | 能效↑29% | 范围3↓37% | 地下水回补×100|Sc1+2 ↓99% | Energy eff ↑29% | Sc3 ↓37% | Groundwater recharge ×100
📌 核心用例 | Use Cases
- AI赋能可再生原料采购|AI-Enabled Regenerative Sourcing
- 智能水资源管控系统|Smart Water Management System
- 清洁能源优化体系|Clean Energy Optimization System
📊 关键绩效 | Key KPIs
- 范围1和2碳排放降低99%|Sc1+2 emissions ↓99%
- 能源效率提升29%|Energy efficiency ↑29%
- 地下水回补量提升百倍|Groundwater recharge ×100
14. Schneider Electric Beijing (北京, China) — 可持续 | Sustainability [26016CN14]
业务规模增长30%、内部产能扩容叠加日趋严苛的可持续发展要求。落地五十余项先进技术方案，涵盖无SF6产品设计、供应商脱碳、能源优化及SF6循环利用。|30% growth with increased insourcing and stricter sustainability requirements. 50+ solutions: SF6-free design, supplier decarbonization, energy optimization. | 30% growth with increased insourcing and stricter sustainability requirements. 50+ solutions: SF6-free design, supplier decarbonization, energy optimization.
范围1↓65% | 范围2清零 | 范围3↓43% | 能效↑36%|Sc1 ↓65% | Sc2 zeroed | Sc3 ↓43% | Energy eff ↑36%
📌 核心用例 | Use Cases
- 无SF6产品设计|SF6-Free Product Design
- 供应商脱碳计划|Supplier Decarbonization Programme
- SF6循环利用体系|SF6 Circularity Initiative
📊 关键绩效 | Key KPIs
- 范围1碳排放下降65%|Sc1 emissions ↓65%
- 范围2碳排放实现清零|Sc2 emissions eliminated
- 能源效率提升36%|Energy efficiency ↑36%
人才灯塔 | Talent
15. Fujian Ningde Nuclear Power (福鼎, China) — 人才发展 | Talent [26116CN15]
为兼顾核电生产的安全标准与运营效率，该厂面向全体员工搭建完善的数字化能力体系。厂区规模化落地45项数字化应用，覆盖人才培养、人力调配、人为失误防控三大板块。 | Balancing nuclear safety and efficiency, 45 digital applications across talent development, deployment and human error prevention.
数字化人才↑10倍+ | 人为失误↓71% | 人均利润↑50%|Digital talent ×10+ | Human errors ↓71% | Profit per capita ↑50%
📌 核心用例 | Use Cases
- 数字化人才培养体系|Digital Talent Development System
- 智能人力调配平台|Smart Workforce Deployment Platform
- 人为失误防控系统|Human Error Prevention System
📊 关键绩效 | Key KPIs
- 数字化人才数量增长10倍以上|Digital talent grew 10x+
- 人为操作失误减少71%|Human errors ↓71%
- 人均利润提升50%|Profit per capita ↑50%