A Complete Success | The 4th ValueApex Data-Driven Decisions Worry-Free Maintenance Maintenance Value Summit

April 18, 2025 – The 4th Maintenance Value Summit, hosted by ValueApex, was successfully held in Shanghai. Under the theme "Data-Driven Decisions, Worry-Free Maintenance, Escorting Smart Manufacturing Plants," the summit attracted over 380 attendees, including enterprise executives, equipment management leaders, and technical experts from industries such as automotive manufacturing, chemicals, electronics, and pharmaceuticals. Here are the key takeaways:

I. Opening Address by ValueApex GM Mr. Wang Haifa & ValueApex Product Trends

The Underlying Logic of Digital Transformation in Equipment Management

"Having focused on equipment management digitalization for a decade, ValueApex consistently upholds the philosophy of 'Data-Driven Decisions, Worry-Free Maintenance'. In 2025, our key initiatives include:

• Deep integration of AI and EAM;

• Implementation of predictive maintenance scenarios;

• Promoting digital inclusivity for SMEs.

We look forward to collaborating with industry partners to build a new smart manufacturing ecosystem!"

Four Core Logics:

• Recording is the Starting Point of Civilization: Digitizing maintenance histories builds the corporate "Second Brain".

• Work Order System as the Minimal Functional Unit of EAM: Achieving "Work Order as Data".

• The Value of the Checklist Revolution: Standardized inspection SOPs reduce human error by 80%.

• Data Assetization: The entire equipment lifecycle harbors 7 value goldmines (e.g., business-finance integration, trusted data sources).

Maturity Model:

• Proposed a 5-level evolution path for equipment management: from Paper Records → ERP Modules → Professional EAM → AI-Integrated Systems.

Transformation Methodology:

• Preventive Maintenance "Four Questions" Decision Model (assessing failure probability/cost/effectiveness).

• Emphasized "Digitalization ≠ Informatization": Process recording is more critical than outcome feedback.

• Adaptation to XinChuang/ITSS: Already supports domestic CPUs, Kylin OS, and Kingbase databases.

Industry Insights:

• Quoted Das Kapital, stating "Equipment maintenance is advanced labor."

• Highlighted a key industry pain point: 90% of equipment issues stem from a cultural flaw of "emphasizing construction over maintenance."

ValueApex Senior Product Manager – EAMic System AI Evolution & Scenario Innovation

Permission Management Upgrade:

• Supports multi-organization management within groups.

• Implements three-tier permission control (Functional/Data/Master Data).

• Facilitates collaboration among IT, Business, and Subsidiary administrators.

Smart Inventory Closed Loop:

• Covers the entire process from plan creation → task execution → discrepancy handling.

• Supports multiple tag identifications like QR Code/RFID.

• Automatically generates inventory reports and disposal documents.

Deep AI Application:

• Intelligent Repair Request Diagnosis: Reduces invalid requests by 30%.

• Maintenance Solution Recommendations: Automatically matches based on historical work orders.

• Prerequisite: Accumulation of 100,000+ historical repair request data points.

II. The Practical Path of Digital Transformation

Mr. Feng Lei, MESC(Shanghai) – Building the "People-Equipment-Data" Golden Triangle

• Proposed a TPM Digital Transformation Five-Step Method: Equipment Criticality Analysis → Failure Rating → Maintenance Work Order Standardization → Information Analysis → PDCA Closed Loop.

• Emphasized the importance of the "Three Actuals, Two Principles" (Genba, Genbutsu, Genjitsu, Principle, Rule) in EAM implementation.

• Case Study: An automotive company optimized maintenance benchmarks, increasing the preventive maintenance ratio from 30% to 65% and extending MTBF by 40%.

Mr. Long Lin, Bluestar Silicones (Jiangxi) Co.,Ltd.– Activating On-site Equipment Management with EAM + SAP

• System Construction: Developed 10 specialized work order types, 25 types of analytical reports, achieving full digitalization of the maintenance process.

• Key Metrics: Failure rate reduced to 1.9%, preventive maintenance ratio reached 45%.

• Management Upgrade: Mobile terminal coverage for 1400+ employees, 100% linkage between spare parts and work orders, real-time inventory visibility.

• Data Governance: Eliminated paper records, improved equipment ledger accuracy to 98%.

Mr. Zhu Jun, Xusheng Group– Building a Full Lifecycle "Value Operating System"

• Showcased a digital platform: Managing over 3000 daily work orders digitally through 1 platform + 5 business lines + 30+ process frameworks.

• Innovation: Built 70+ analytical reports to drive optimization of key metrics like MTBF and MTTR.

• Results: Ultimately drove a 50% increase in maintenance efficiency and significant improvement in spare parts turnover rate.

III. Chemical Industry Session: New Paradigm for Predictive Maintenance

Mr. Chen Jiangang, Union Chemical Industry Co., Ltd.– Case Study on AI and EAM Integration

• Integrated the EAMic system with a predictive maintenance platform, achieving equipment health scores (e.g., a motor health score of 91).

• Built a "Monitoring-Diagnosis-Maintenance" closed-loop process, reducing repair response time from 4 hours to 10 minutes.

• System automatically pushes maintenance suggestions (e.g., 70% diagnostic accuracy for bearing faults).

• Maintenance closed-loop cycle shortened from 72 hours to 8 hours.

• Equipment ledger maintenance time reduced by 75% (from 2 hours to 0.5 hours/week).

Ms. Chen Weiwei, JOYSUCH Information Technology Co., Ltd.– Presenting the PDM + EAM Solution

• Achieved real-time monitoring of 157 devices through deep integration of the "Equipment Monitoring & Diagnosis Platform + ValueApex EAMic System".

• Completed 40 instances of abnormal warnings (25% of monitored devices) within 3 months, achieving maintenance closure for 13 instances (32.5% of warnings).

• Typical Cases: Accurately diagnosed "Heat Transfer Oil Furnace A Fan - Motor 3072A Bearing Outer Race Fault" and "Cold Oil Pump - 3019A Bearing Cage Fracture".

• System features a built-in intelligent diagnosis module, utilizing the DeepSeek large language model for industrial equipment fault Q&A.

• Provides 7*24 hour diagnostic monitoring service, having served 5500+ industrial cases.

IV. Digital Management in Multinational Corporations

Mr. Fu Xuelin, CBRE – EAMic Empowers Digital FM Management

01 Airbus Project Application: Managing an 890,000 sqm campus (including 9 aircraft hangars) with EAMic:

• Digitalized complex pipeline networks (30,000 meters of water supply pipes).

• Reduced leak location response time from 48 hours to 2 hours.

• Reduced water consumption by 35% over three years.

02 FM vs. Production Maintenance Comparison:

• FM KPI: 99.9% Facility Availability.

• Production KPI: 1% OEE increase = Millions in profit.

03 IoT Integration:

• Managed 1391 location points.

• Monitored 5041 equipment parameters.

• Completed 372 renovation projects over 5 years.

V. Panel Discussion

Theme: "How AI Drives Intelligent Equipment Management"

Experts from Taizhou Union Chemical Industry, SINOCHEM Group, Ningbo Xusheng Group Co., Ltd., Suzhou JOYSUCH Information Technology Co., Ltd., and ValueApex participated, forming key consensus: Industrial AI should follow the "Scenario First" principle, prioritizing breakthroughs in deterministic scenarios like equipment health assessment and fault root cause analysis, gradually extending towards predictive maintenance.

01 Real-World Challenges of Industrial AI Application:

• Data Quality Dilemma: Equipment data suffers from "dirty, messy, disparate" issues, lacking structure.

• Talent Gap: Scarcity of professionals skilled in both equipment mechanics and AI algorithms.

• ROI Concerns: SMEs are skeptical about AI implementation costs versus benefits.

02 The Industrial Value of Large Language Models (LLMs):

• Natural Language Interaction: Query equipment status, retrieve maintenance cases via voice/text.

• Knowledge Codification: Transform veteran technicians' experience into reusable digital knowledge bases.

• Intelligent Assistance: Automatically generate structured outputs like maintenance plans, spare part procurement suggestions.

03 Management Innovation Driven by Technological Democratization:

• Opportunity: Lowers the technical barrier, enabling frontline personnel to use advanced analytical tools.

• Challenge: Requires restructuring decision-making processes to balance AI recommendations and human judgment.

• Trend: Evolution from "Expert Systems" to "Intelligent Assistants for Everyone".

VI. Awards Ceremony

Decade of Partnership Award

OXEA Advanced Derivatives (Nanjing)  Ltd. & Rieter (China) Textile Instruments Co., Ltd.

Awarded to benchmark enterprises that have partnered with ValueApex for ten years. They are not only early adopters of the EAMic system but also evangelists for the digital transformation of equipment management. A decade of perseverance has witnessed the industry shift from maintenance records to data assets.

EAMic Best User Award

Awarded to enterprise representatives achieving breakthrough innovations in equipment management over the past year, who have:

• Creatively applied the EAMic system to solve industry pain points.

• Achieved genuine improvements in Equipment OEE.

• Developed replicable digital maintenance methodologies.

• Oishi (China) Co., Ltd.

• Ningbo Xinfu Titanium Dioxide Co., Ltd.

•Taizhou Union Chemical Industry

• Zhongyin Babi Food Co.,Ltd.

• Jiangsu Justech Precision Industry Co., Ltd.

• Ningbo Xusheng Group Co., Ltd.

• Shandong Weijiao Holding Group Co., Ltd.

• Anhui Kaize New Material Co., Ltd.

• Panasonic Industrial Devices Materials (Guangzhou) Co., Ltd.

• Bluestar Silicones (Jiangxi) Co., Ltd.

• Elkem Silicones (Shanghai) Co., Ltd.

• Flat Glass Group Co., Ltd.

•Finisar (Wuxi) Co., Ltd.

• Atlas Copco (Wuxi) Co., Ltd.

• China Railway 14th Bureau Group Co., Ltd.

• CBRE Airbus Project

These award-winning organizations not only demonstrate the depth of EAM system application but also represent the advanced productivity of Chinese smart manufacturing in the dimension of equipment management. Let us salute professionalism with expertise and inspire innovation with innovation!

This summit, through 10 thematic sessions, clearly outlined three major trends in the digital transformation of equipment management: the shift from experience-based to data-driven decision-making, from reactive repair to proactive prevention, and from point solutions to systemic synergy.

As one speaker noted: "When fault prediction accuracy surpasses 90%, maintenance transforms from a cost center into a profit center."

We look forward to witnessing your further achievements on the digital journey. See you next year！