In the transnational lithium battery electrolyte production sector, structural pain points—including process adaptation relying on manual experience resulting in cycles as long as 15 days, lack of synergistic optimization between energy efficiency and VOC emissions, transnational compliance audit responses routinely exceeding 48 hours, and disconnected supply chain and production capacity data keeping order fulfillment rates lingering at 89%—have continuously driven up operating costs and intensified regulatory risks. Most generic ERP or MES systems are severely misaligned with the real operating conditions of electrolyte synthesis, with order, procurement, process, quality inspection, energy consumption, and compliance data scattered across DCS, LIMS, paper-based SOPs, and various heterogeneous systems, creating entrenched industry bottlenecks.
A third-party verification report based on measured data from a 200,000-ton/year electrolyte plant in Houston, Texas, confirms that the full-chain technical system—comprising "three enterprise standards + two invention patents + twelve digital systems"—developed by Liu Xinshun, Senior Process Engineer at Guangzhou Tinci New Materials Technology Co., Ltd. and Master of Chemical Engineering from the University of Southern California, has achieved quantifiable, auditable, and replicable improvements in transnational production scenarios, providing the chemical and new energy industry with its first complete implementation paradigm "from process design to compliance delivery."
Drawing on more than ten years of experience in chemical and new energy materials R&D and transnational project implementation, Liu Xinshun's original digital system matrix and supporting enterprise standards have achieved clear, field-validated results: compressing the transnational electrolyte plant process adaptation cycle from an industry average of 15 days to 48 hours (a 96.8% compression rate), shortening customer compliance audit response time from 48 hours to 15 minutes, reducing unit product comprehensive energy consumption from 990 kWh/t to 765 kWh/t (a 22.7% reduction), stably controlling VOC emissions below 0.026 kg/h (surpassing the U.S. EPA Tier 1 standard of 0.03 kg/h), and increasing order fulfillment rates from 89% to 98.7%—overall production and operations efficiency improved by approximately 60%. The core logic of his methodology is clear and evidence-based: driving process optimization with real factory data, replacing manual experience-based judgment with an improved NSGA-III algorithm, and eliminating conflicts between transnational compliance and production parameters through unified standards.
Through long-term frontline practice, Liu Xinshun identified that the industry's core challenge is not a lack of individual technologies, but rather the disconnect between process design and production execution, insufficient adaptation to transnational compliance scenarios, and the coexistence of supply chain and production capacity data silos. Many enterprises still rely on manual experience for process parameter adjustment, compliance document verification, and energy consumption accounting, with critical data scattered across ERP, DCS, laboratory management systems, and various paper records, resulting in low efficiency and high compliance risks.
To address these issues, he led the development of 12 original digital systems covering the full spectrum of process design, production scheduling, energy efficiency analysis, compliance auditing, and supply chain collaboration, and took the lead as the first drafter in formulating three enterprise standards—Technical Specification for Synergistic Optimization of Energy Efficiency and VOC Emissions in Transnational Production of Electrolyte (Q/LXS 001-2022), Regional Compliance Adaptation Standards for Process Parameters of Transnational Electrolyte Plants (Q/LXS 002-2023), and Accounting Method for the Linkage of Energy Consumption and Carbon Footprint in Electrolyte Production (Q/LXS 003-2024). His solution unifies data interfaces, process mapping rules, and real-time synchronization mechanisms, enabling automatic flow from business orders to process parameters, from energy consumption collection to carbon footprint accounting, as well as intelligent early warning of transnational compliance risks—significantly reducing manual intervention and substantially improving process stability and compliance pass rates.
The system has been deployed at more than 17 chemical new energy, testing instrument, and trading enterprises. Third-party monitoring data confirms its sustained, quantifiable benefits:
1) Transnational process adaptation cycle compressed by 96.8% : Leveraging the regional compliance factor K (0–1) and multiple regression / random forest coupling model in Standard Q/LXS 002-2023, overseas plant process commissioning was shortened from 15 days to 48 hours, with parameter conversion error controlled within 1.2%, and 27 consecutive customer external audits achieving a 100% pass rate.
2) Core production and compliance process efficiency improved by more than 60% : Based on the improved NSGA-III algorithm in Q/LXS 001-2022 (600 iterations, non-dominated solution coverage ≥92%), the capacity-energy consumption-VOC three-dimensional coupling model achieves real-time dynamic optimization; the ComplyReply system uses NLP intelligent matching of 236 audit standards, compressing audit response time from 48 hours to 15 minutes.
3) Significant reduction in enterprise energy efficiency and compliance costs : The Houston, Texas plant saves $1.2 million in annual operating costs; Ganzhou Manqi Trading, after applying the ProOpt, ProManEx, and ProEffigo systems, reduced unit energy consumption by 15.2%, added RMB 18.6 million in new sales within 12 months, with an ROI of 3.6×.
4) Dramatic enhancement in cross-system data consistency, operational transparency, and compliance stability : The SupplyProSync system achieves real-time synchronization of supplier ledgers with shop-floor capacity, improving procurement order synchronization efficiency by 32.7% and reducing scheduling error rates by 24.3%; ChemDesign embeds regulatory provisions from more than 20 countries and 1,000+ production databases, shortening new product pilot-to-intermediate-trial cycles by 30%.
5) Leapfrog improvement in order fulfillment rates, capacity utilization, and supply chain response efficiency : Order fulfillment rate increased from 89% to 98.7%, overdue order early warning response accelerated by 41.2%, and equipment downtime reduced by 5%.
This framework represents a fundamental shift in industry operations: from "post-event remediation and passive correction" to "pre-event warning, process control, and closed-loop optimization"; from experience-dependent manual management to data-driven, algorithm-optimized, standard-led intelligent operations.
His work has received formal recognition from independent institutions and industry associations. The three enterprise standards led by Liu Xinshun have been adopted by more than 50 enterprises and universities, incorporated into MIIT talent supporting reference documents, and collected by 28 provincial education associations as recommended technical specifications. Beijing Jinlitong Asset Appraisal Co., Ltd. (Filing No.: Jingcai Ziping [2025] No. 0053) evaluated his 16 core intangible assets (2 patents, 1 software, 3 standards, 10 works) using the income approach, with a total value of RMB 4.975 million. The 5-year expected technology royalty income present value totals RMB 4.975 million, with a discount rate of 15% and a technology royalty rate of 30%. His systems and cases have been recognized by industry authorities as exemplary applications of digital transformation in the chemical new energy sector.
With unified data sources and integrated workflows at its core, Liu Xinshun has restructured the end-to-end operating model of chemical enterprises—from orders, procurement, process design, production scheduling, energy efficiency control, compliance auditing, carbon footprint accounting, to supply chain management—embedding digitalization deeply into every aspect of daily production operations.
His solution has expanded from domestic plants to transnational scenarios, supporting multi-country compliance requirements including U.S. EPA, EU REACH, and Southeast Asian environmental regulations, as well as multi-currency cost accounting and international carbon footprint reporting standards. The system is now widely used by multiple Chinese enterprises going global, especially well-suited for small and medium-sized chemical enterprises seeking lightweight, low-cost, high-efficiency transnational production digital transformation.
Independent industry analysts commented that Liu Xinshun's solution directly addresses the industry's most stubborn challenge: making systems adapt to real chemical production needs, rather than forcing enterprises to adapt to rigid generic software. As global regulators demand higher transparency, traceability, and long-term stability in production processes, his stable, practical, and scalable model offers broad value for improving operational quality and reducing comprehensive costs in the chemical new energy industry.
Liu Xinshun continues to refine his solutions, focusing on cross-border data security, dynamic adaptation to multi-country environmental regulations, and low-carbon digital operations. His field-proven achievements not only validate the value of full-chain digital standard systems in the chemical new energy materials sector, but also provide a credible, practical, and verifiable upgrade paradigm for global production enterprises undergoing digital transformation.
Author Information
China Industry Development Research NetworkChemical & New Energy Channel
Senior Reporter: Wang Hao
Website: https://www.chyxx.com/
