This article examines the methods used to calculate direct carbon emissions from energy consumption, fugitive carbon emissions from manufacturing processes, and fugitive carbon emissions from exhaust gas treatment. It also establishes carbon emission boundaries and focuses on the process of producing and manufacturing automobiles. This method is used to calculate carbon emissions based on the real state of enterprises. According to the research, energy consumption during the production and manufacturing of automobiles results in the largest direct carbon emissions, with electricity consumption making up roughly 75% of energy consumption; The production operation area is the one with the largest percentage of carbon emissions, with the painting workshop contributing the most, at approximately 40%; Seasonal influences and production variations have an impact on emission characteristics.

With the rapid development of China’s highway construction, the huge demand for funds and the lack of financial strength of the contradiction is increasingly obvious, can effectively control the maintenance costs, highway operators to obtain sustainable development advantages of the key factors. This paper measures the highway maintenance and management costs including carbon emission costs based on the perspective of life cycle cost analysis. Based on the perspective of life cycle cost analysis, prediction models are developed for each component cost of highway maintenance and management costs. The carbon emission costs generated during the operation duration of highways are also included in the life-cycle costs, and the calculation model is proposed for the strategy of “30∙60 carbon target” in China. In the example analysis, the carbon emission cost of new energy vehicles is only 3/4 of that of fuel vehicles in the driving phase; more than 90% of the carbon emission is generated by the driving vehicles.

Intelligent manufacturing is a continuously evolving and iteratively improving system engineering that requires long-term adherence and step-by-step implementation. The continuous process changes during scenario iteration have stimulated the demand for process simulation tools in intelligent manufacturing management processes. However, currently, existing tools mostly simulate process coherence and rarely simulate and verify the stability of the process. Accordingly, the article proposes a construction idea for an intelligent manufacturing scenario iteration management platform and combines the analysis of scenario innovation entities and strategies to innovate the simulation method of scenario innovation operation mechanism based on evolutionary game models, improve the comprehensiveness of simulation, and support the continuous iteration of intelligent manufacturing scenarios.

In the context of the digital economy, there is a growing trend towards continuous optimization of business processes from the perspective of end-to-end user experiences within specific business scenarios. However, there is currently a lack of systematic methods for conducting scenario governance. Building upon the concept of scenario innovation, this paper establishes a systematic method for measuring the utility of scenario innovation from "scenario presentation" to "innovation mapping" to "efficiency comparison." This method provides a systematic approach for optimizing, iterating, and governing scenario innovation, offering valuable references for the improvement of scenario innovation.

The scene has become the entrance and breakthrough of the future digital economy. Starting from the scenario innovation synergy model of "government setting up the stage, enterprises setting out questions, and enterprises answering questions", we build a three-party evolutionary game model, analyze

Carbon emissions from the automobile industry are one of the main sources of carbon emissions in China. Based on the current status of carbon emissions in the automobile industry, this paper proposes a carbon emission reduction path from the perspective of the entire life cycle of automobile manufacturing, use, and scrapping. In the production stage, carbon emissions are reduced through energy efficiency improvement, process innovation, fuel/raw material substitution, and green energy use; in the use stage, carbon emissions are reduced through the use of pure electric vehicles and the use of green electricity; In the scrap recycling stage, carbon emissions are controlled by applying environmentally friendly and efficient technical means to improve the efficiency of material recovery and reuse.

In order to explore the effect and path of digital transformation on the product R&D performance of automobile enterprises, an empirical study was conducted based on data from 240 questionnaire surveys of automobile enterprises, and the influencing mechanism of digital transformation on the product R&D performance of automobile enterprises is discussed. The results show that digital transformation can positively affect the product R&D performance of automobile enterprises; digital technology innovation capability plays an intermediary role between digital transformation and product R&D performance; innovation ecological resources and the innovation ecological environment can significantly regulate the positive relationship between digital transformation and digital technology innovation capability and also regulate the mediating effect of digital technology innovation capability. In order to effectively promote automobile enterprises to improve product research and development performance through digital transformation, the government should ensure that enterprises have the ability and confidence to carry out transformation through policy support and system reform. Relevant associations from the automobile industry should cooperate with the government and ensure that enterprises can continue to carry out product research and development. Automobile enterprises should rationally use resources and the environment to carry out digital transformation, enhance digital technology innovation ability, and improve product research and development performance.

Sustainable supply chain management (SSCM) is a new area of interest to scientists and industrial practitioners through which to maintain productivity, reduce costs, and enhance agility. SSCM is especially important to protect the environment and reduce pollution by heavy industries. It considers the environment the main stakeholder in minimizing the carbon footprint during production, lowering emissions of dangerous gases, and reducing industrial pollution. Considering the aforementioned purposes, the aim of this study was to explore the relationships between top management support, perceived justice, supplier management, and SSCM and assess the moderating role of supply chain agility. This quantitative study was conducted in the vast textile sector in Pakistan. We collected data through a questionnaire and found that top management support, perceived justice, and supplier management are positively and significantly associated with SSCM. However, there was no significant moderating effect of supply chain agility on the independent variables and SSCM. These findings have practical implications for production managers and top management in enhancement of their roles in promoting environmental wellbeing. By developing rules at the organizational and governmental levels that consider the role of top management, perceived justice, and improved supplier management, the sustainability of the supply chain can be improved. This analysis provides academics who study the supply chain a practical prescription and adds to the body of knowledge about the validity of top SSCM pillars.

PPP模式是当前社会公共产品或服务项目实施的常用模式,因其优势备受关注,但对于投资方而言,风险因素的识别和管控对于项目预期目标的实现至关重要.针对PPP项目投资方风险因素管理问题,该文以高速公路PPP项目为例,基于文献研究与专家访谈法,识别PPP项目投资风险因素,划分为4个阶段的18个子因素;通过构建熵权法-DEMATEL模型,将主观评价与客观评价相结合,确定各影响因素的综合权重和相互影响关系,识别关键因素并有针对性地提出建议,为风险防范措施的制定提供借鉴意义.研究结果表明,风险管理是一项系统性、全面性的工作,交通量风险和工程质量风险是PPP项目投资风险中的关键因素,并且会对其他风险因素产生影响.

在数字经济时代,伴随着数字技术的快速发展及其与传统产业的深度融合,全球汽车行业正迎来颠覆性的全方位业务数字化转型——数字技术驱动的全流程业务创新和管理变革.汽车产业作为我国实体经济中的支柱产业,应坚持以服务实体经济为导向,通过柔性生产、个性化服务满足客户差异化需求,更好地实现价值创造,共建数字新生态;应乘智能网联之风,通过数字化转型升级,从传统整车销售业务向"产品+服务"模式转变.本文站在宏观视角,浅析汽车行业如何通过跨界融合、知识资源整合进行业务创新,以数字赋能业务,开启数字创新生态建设,明确未来发展方向.

数字化转型成为当前汽车行业发展变革的必然趋势.针对当前汽车企业数字化转型现状不清晰、路径不明确、转型效果难评估等问题,在分析国内外数字化转型评估模型的基础上,结合汽车行业典型特征,构建了汽车企业数字化转型成熟度评估模型,将企业数字化转型发展划分为5个等级,从产品形态、制造体系、运营管理、产业生态及技术应用等五类能力域进行了全面评估,对汽车企业系统了解自身数字化转型发展现状及不足,明确转型路径具有重要意义.

碳达峰、碳中和是我国应对全球气候变化的国家战略.汽车行业作为制造业的代表性产业,肩负着低碳、绿色转型的重大使命.本文通过归纳总结国内外碳排放管理现状和发展历程,重点对汽车行业碳排放核算体系(核算边界、排放源、排放气体种类及数据来源)进行深入研究,提出了汽车行业碳排放管理存在的问题及发展建议,为加速建立我国汽车行业碳排放核算体系提供参考.

作为新能源汽车重要分类之一的燃料电池汽车是我国汽车产业发展的必然趋势,也是"双碳"目标的主攻方向之一,开展关于燃料电池汽车发展路径的研究,对于推动行业高质量发展、加快产品快速市场化具有重要意义.本文系统梳理了我国新能源汽车的发展路径,从发展历程、战略选择、发展成效等方面对新能源汽车产业发展进行总结,同时深入剖析燃料电池汽车发展过程中存在的问题,以新能源汽车发展经验为借鉴,以燃料电池汽车发展存在问题为引导,对燃料电池汽车发展路径提出选择建议.

汽车产业是国民经济的支柱型产业,是推动新一轮科技革命和产业变革的重要力量,是建设制造强国的重要支撑,是国民经济的重要支柱.本文通过研究汽车行业不同细分车型领域的发展现状、生产制造的特点以及后续智能制造发展的重点,对比汽车行业智能制造特点与国家智能制造标准体系的差异性,基于国家智能制造标准体系的三维模型,形成对汽车行业智能制造标准化体系的建议,同时对标准体系中的基础共性、关键技术以及细分领域各自的重点内容进行了解释与明确.

Driven by the new generation of scientific and technological revolution and industrial transformation, digital transformation has become an inevitable requirement of the development of the times, and will be the main theme of the transformation and development of the automobile industry for a long time in the future, providing a rare historical opportunity for China to become an automobile power from a big country. Based on the development situation of automobile digital transformation under the background of digital economy era, this paper analyzes the macro environment of automobile industry digital transformation and development from four aspects of political environment, economic environment, social environment and technical environment by using PEST analysis method, and explores the reasons and necessity of automobile enterprise digital transformation. The countermeasures and suggestions for digital transformation of automobile enterprises are put forward from five aspects: seizing the opportunity of transformation, perfecting the business model, introducing advanced technology, ensuring product quality and adhering to the concept of environmental protection, which provide valuable reference for the decision-making and relevant policy making of digital transformation of automobile enterprises in China.

基于PEST模型分析汽车工程咨询业务外部宏观环境变化趋势,指出 目前中国汽车工程咨询的发展机遇.针对环境变化及发展机遇,提出中国汽车工程咨询业务要提升服务手段和质量,广泛应用新ICT技术,向定制化、价值化及全过程咨询方向发展,进一步促进汽车工程咨询领域发展,从而形成较完整的工程咨询体系.