0 views collected around this technical thread.
This article details China’s 2024‑2027 ITU‑DevOps standard action plan, CAICT’s dual international and domestic DevOps assessments, Changan Auto’s successful Gaia platform certification, and insights from senior executives on implementation challenges, benefits, and future DevOps trends.
The article details China’s 2024‑2027 Information Standardization Action Plan, the CAICT’s DevOps assessment framework, and showcases how automotive firms like FAW‑Volkswagen and Chang'an have achieved top‑tier continuous delivery and system‑tool standards, highlighting key metrics and the role of international ITU standards.
FAW‑Volkswagen successfully passed both the ITU DevOps international standard and China's domestic DevOps system‑and‑tool standard, showcasing leading capabilities through its R&D Efficiency Platform and Integrated Operations Platform, while sharing insights on the assessment process, platform benefits, and future DevOps directions.
The interview reveals how FAW‑Volkswagen leveraged the CAICT DevOps maturity model to achieve Level 3 continuous delivery for its OTD order‑delivery platform and multi‑functional dealer ecosystem, detailing the standards, implementation steps, performance metrics, challenges faced, and future plans for broader digital transformation.
FAW‑Volkswagen’s interview reveals how the company leveraged the China Academy of Information and Communications Technology’s DevOps maturity model to earn a Level‑3 Continuous Delivery assessment, detailing project implementations, performance metrics, challenges overcome, and future plans for broader DevOps adoption.
This article analyzes how the Qingleng low-code platform improves development efficiency and reduces costs in an automotive technical department by enabling rapid application development through visual interfaces and automated backend processes, addressing pain points like code redundancy and slow requirement response.
This article explores how decision‑intelligence and operations‑research techniques are applied across the automotive supply chain, detailing the industry’s structure, optimization methods at strategic, planning and execution levels, implementation difficulties, and practical lessons drawn from real‑world projects.
This article explains how decision‑intelligence and operations‑research techniques are applied across the automotive supply chain, describing the industry structure, optimization methods at strategic, planning and execution levels, implementation difficulties, real‑world case studies, and lessons learned from a decade of data‑analysis practice.