Analysis of the Impact of Digital Transformation on Non-Financial Performance of Manufacturing Enterprises

As one of the important pillars of China’s national economy,the development of the manufacturing industry has attracted much attention.The manufacturing industry has become a key development area due to its high technology content,capital-intensive,knowledge-intensive,and many more characteristics.With the rapid development of big data information technology,emerging technologies such as artificial intelligence have brought a lot of convenience to people’s lives,and manufacturing enterprises have also realized the importance of reform and innovation,and have begun to carry out digital transformation.Based on the study of the motivation of digital transformation of manufacturing enterprises,this paper explores the transformation path of manufacturing enterprises to meet the needs of social development,and deeply analyzes the impact of digital transformation of manufacturing enterprises on enterprise performance,with a view to improving the unbalanced industrial structure and lagging technological development at the present stage through digital transformation.

Analyzing the Interplay of Sintering Conditions on Microstructure and Hardness in Indirect Additive Manufacturing of 17-4PH Stainless Steel

Indirect additive manufacturing(AM)methods have recently attracted attention from researchers thanks to their great potential for cheap,straightforward,and small-scale production of metallic components.Atomic diffusion additive manufacturing(ADAM),a variant of indirect AM methods,is a layer-wise indirect AM process recently developed based on fused deposition modeling and metal injection molding.However,there is still limited knowledge of the process conditions and material properties fabricated through this process,where sintering plays a crucial role in the final consolidation of parts.Therefore,this research,for the first time,systematically investigates the impact of various sintering conditions on the shrinkage,relative density,microstructure,and hardness of the 17-4PH ADAM samples.For this reason,as-washed samples were sintered under different time-temperature combinations.The sample density was evaluated using Archimedes,computed tomography,and image analysis methods.The outcomes revealed that sintering variables significantly impacted the density of brown 17-4PH Stainless Steel samples.The results indicated more than 99% relative densities,higher than the value reported by Markforged Inc.(~96%).Based on parallel porosities observed in the computed tomography results,it can be suggested that by modifying the infill pattern during printing,it would be possible to increase the final relative density.The microhardness of the sintered samples in this study was higher than that of the standard sample provided by Markforged Inc.Sintering at 1330℃ for 4 h increased the density of the printed sample without compromising its mechanical properties.According to X-ray diffraction analysis,the standard sample provided by Markforged Inc.and“1330℃—4 h”one had similar stable phases,although copper-rich intermetallics were more abundant in the microstructure of reference samples.This study is expected to facilitate the adoption of indirect metal AM methods by different sectors,thanks to the high achievable relative densities reported here.

Research on the Impact of Digital Technology and Servitization on the Performance of Manufacturing Enterprises

This article mainly discusses the impact of digital technology and service-oriented on the performance of manufacturing enterprises.It first elaborates on the background of the trend of service-oriented manufacturing and the significance of its enterprises.Then,based on the impact of digital technology on the performance of manufacturing enterprises,several practical and feasible measures are proposed,mainly focusing on the long-term layout of service-oriented,shortening the low period,enhancing the competitive awareness of state-owned manufacturing enterprises,improving the driving force transformation,achieving simultaneous progress digitally,configuring digital and service-oriented elements,and eliminating the monopoly of digital resources.Followed by lowering the threshold for private enterprise resource acquisition,promoting financial digital development,breaking the financial dilemma of service-oriented manufacturing,continuously improving the performance level of manufacturing enterprises,and promoting the development of manufacturing enterprises.

Research on the Impact of Digital Transformation on the Performance of Manufacturing Enterprises

To address the challenges faced by manufacturing enterprises in digital transformation,this paper analyzes the relationship between digital transformation and enterprise performance.Using panel data from domestic A-share-listed manufacturing enterprises from 2012 to 2022,two hypotheses were proposed.The analysis and verification revealed that digital transformation in manufacturing enterprises can enhance performance and reduce costs.Based on the impact of digital transformation on manufacturing enterprise performance,optimization suggestions are proposed to guide future digital transformation and performance improvement efforts in these enterprises.

An Edge-Fog-Cloud Computing-Based Digital Twin Model for Prognostics Health Management of Process Manufacturing Systems

The prognostics health management(PHM)fromthe systematic viewis critical to the healthy continuous operation of processmanufacturing systems(PMS),with different kinds of dynamic interference events.This paper proposes a three leveled digital twinmodel for the systematic PHMof PMSs.The unit-leveled digital twinmodel of each basic device unit of PMSs is constructed based on edge computing,which can provide real-time monitoring and analysis of the device status.The station-leveled digital twin models in the PMSs are designed to optimize and control the process parameters,which are deployed for the manufacturing execution on the fog server.The shop-leveled digital twin maintenancemodel is designed for production planning,which gives production instructions fromthe private industrial cloud server.To cope with the dynamic disturbances of a PMS,a big data-driven framework is proposed to control the three-level digital twin models,which contains indicator prediction,influence evaluation,and decisionmaking.Finally,a case study with a real chemical fiber system is introduced to illustrate the effectiveness of the digital twin model with edge-fog-cloud computing for the systematic PHM of PMSs.The result demonstrates that the three-leveled digital twin model for the systematic PHM in PMSs works well in the system’s respects.

On the Digital Transformation of the Automobile Manufacturing Industry in the Chengdu-Chongqing Economic Circle:Mechanism of Action and Feasible Paths

With a long industrial chain and a powerful ability to drive other industries,the automobile manufacturing industry has a prominent strategic position in the national economy.In recent years,many countries have put on their agenda the digitalization of the automobile manufacturing industry,leading to an connected,autonomous,shared,and electric(also known as CASE)①development trend in the industry.As one of the six major automobile industry clusters in China,the Chengdu-Chongqing economic circle has achieved initial results in the digital transformation of the automobile manufacturing industry.However,the region is still faced with some constraints,such as insufficient digital infrastructure,relatively slow development of new automobile products,insufficient innovation ability of the automobile industry,and complex digital transformation of small and medium-sized automobile enterprises(automobile SMEs).This paper intends to construct a framework for the mechanism of action of the digital transformation in the automobile manufacturing industry,analyze the effects of the digital transformation of the automobile manufacturing industry in the Chengdu-Chongqing economic circle,and propose feasible paths for the digital transformation of the automobile manufacturing industry in the region by drawing on domestic and international experience in this regard.The specific paths include:(a)Smoothing the“dual-core”data chain to facilitate the digital transformation of the automobile manufacturing industry;(b)Developing the new energy vehicle(NEV)industry to upgrade the quality of automobile products;(c)Achieving corner overtaking in the digital transformation of the automobile manufacturing industry with digital technology;(d)Jointly building the automobile industrial park to promote the digital transformation of the industry;(e)Addressing problems facing automobile SMEs in digital transformation via targeted policy tools.

Smart Design and Manufacturing the Welded Q350 Steel Frames via Lifecycle Management Strategy of Digital Twin

Artificial intelligent aided design and manufacturing have been recognized as one kind of robust data-driven and data-intensive technologies in the integrated computational material engi-neering(ICME)era.Motivated by the dramatical developments of the services of China Railway High-speed series for more than a decade,it is essential to reveal the foundations of lifecycle man-agement of those trains under environmental conditions.Here,the smart design and manufacturing of welded Q350 steel frames of CR200J series are introduced,presenting the capability and opportu-nity of ICME in weight reduction and lifecycle management at a cost-effective approach.In order to address the required fatigue life time enduring more than 9×10^(6)km,the response of optimized frames to the static and the dynamic loads are comprehensively investigated.It is highlighted that the maximum residual stress of the optimized welded frame is reduced to 69 MPa from 477 MPa of previous existing one.Based on the measured stress and acceleration from the railways,the fatigue life of modified frame under various loading modes could fulfil the requirements of the lifecycle man-agement.Moreover,our recent developed intelligent quality control strategy of welding process mediated by machine learning is also introduced,envisioning its application in the intelligent weld-ing.

Research of Digital Manufacturing Technology Application on Ultra-precision Optical Workpiece Machining

Digital manufacturing technology can be used in optical field to solve many problems caused by traditional machining. According to the characters of digital manufacturing and the practical applications of ultra-precision machining,the process of digital ultra-precision machining and its technical contents were presented in this paper. In the conclusions,it was stated that the digitalization of ultra-precision machining will be an economical and efficient way for the production of new sorts of optical workpieces.

Special Issue on Future Digital Design and Manufacturing:Embracing Industry 4.0 and Beyond-Part Ⅱ

Digital design and manufacturing have been under pinned by digital modeling, simulation, and automation controls for decades. Under the new market requirement of mass customized products and services, the advancements in artificial intelligence （AI）, smart technology, virtual reality （VR）, big data, digital twin, robotics and human-centered design are becoming driving forces for the development of future digital design and manufacturing. This special issue focuses on the future digital design and manufacturing especially under the Industry 4.0 framework and beyond. This editorial introduces the papers in this special issue, which linked to the International Workshop on Digital Design and Manufacturing Technologies - Embracing Industry 4.0 and Beyond at Northumbria University in Newcastle, UK, held on 12-13 April 2016. In the Part I of the issue [1], there are 13 papers published in 2016, Vol- ume 29, No 6 of the Chinese Journal of Mechanical Engineering （this journal）.

数字贸易、产业结构升级与制造业高质量发展--基于长三角样本的分析

基于2012-2021年长三角地区的相关数据,构建数字贸易、制造业高质量发展的指标评价体系,运用中介效应模型,对数字贸易作用于产业结构升级、推动长三角地区制造业高质量发展问题进行研究。结果表明,一方面数字贸易对长三角制造业高质量发展具有显著直接的促进效应;另一方面产业结构升级能够发挥部分中介效应,助推数字贸易对长三角制造业高质量发展产生正向影响。研究结论为数字贸易发展对长三角制造业的影响及相关政策制定提供了支撑和参考,对长三角制造业实现高质量发展有着一定的启示作用。

数字化转型、动态能力与制造业服务化--基于营商环境的调节效应

数字化转型、动态能力、制造业服务化成为企业获取竞争优势实现高质量发展面临的重大挑战,但是目前缺乏在宏观层面对数字化转型与制造业服务化的实证研究。以中国沪深A股制造业上市公司2013—2020年非平衡面板数据为样本,基于文献提出并验证了有关数字化转型、动态能力、制造业服务化之间作用机理的多个假设。研究发现:(1)数字化转型显著正向影响制造业的服务化;(2)动态能力在数字化转型与制造业服务化两者关系中存在正向中介作用;(3)营商环境在数字化转型影响制造业服务化过程中起正向调节作用;(4)非国有企业及东部地区企业在数字化转型对制造业服务化的影响方面更为显著。

数字金融、内部控制与企业价值——基于2012-2021年中国制造业A股上市公司的经验数据

文章以2012—2021年A股制造类上市公司为样本,用数字普惠金融指数衡量数字金融的发展水平,采用多元回归模型验证数字金融对制造类企业价值的影响,并探究内部控制在其中的中介作用。实证结果表明:数字金融会显著提高制造类企业价值;企业内部控制在数字金融对企业价值的影响中发挥着中介效应;数字金融对非国有制造类企业价值的影响更显著,并且企业内部控制在其中仍然发挥着中介作用。

Digital Twins and Cyber Physical Systems toward Smart Manufacturing and Industry 4.0:Correlation and Comparison

State-of-the-art technologies such as the Internet of Things(IoT),cloud computing(CC),big data analytics(BDA),and artificial intelligence(AI)have greatly stimulated the development of smart manufacturing.An important prerequisite for smart manufacturing is cyber-physical integration,which is increasingly being embraced by manufacturers.As the preferred means of such integration,cyber-physical systems(CPS)and digital twins(DTs)have gained extensive attention from researchers and practitioners in industry.With feedback loops in which physical processes affect cyber parts and vice versa,CPS and DTs can endow manufacturing systems with greater efficiency,resilience,and intelligence.CPS and DTs share the same essential concepts of an intensive cyber-physical connection,real-time interaction,organization integration,and in-depth collaboration.However,CPS and DTs are not identical from many perspectives,including their origin,development,engineering practices,cyber-physical mapping,and core elements.In order to highlight the differences and correlation between them,this paper reviews and analyzes CPS and DTs from multiple perspectives.

数字化与服务化对制造企业绩效的联动效应研究--基于模糊集定性比较分析

数字化与服务化已成为众多制造企业转型的两大主要方向,但这两种战略如何相互作用并共同影响企业绩效,尚未得到充分研究。基于供应链运营参考模型和服务导向逻辑,本文探讨了数字化与服务化不同细分维度对制造企业绩效的联动效应。采用模糊集定性比较分析法对272家中国制造企业的调研数据进行分析,本文发现高水平的交货过程数字化、基础服务和高级服务作为核心条件以及高水平的计划、采购和制造过程数字化作为边缘条件的联动匹配,是导致高企业绩效的唯一路径。相比之下,虽然导致非高企业绩效存在两条路径,但这两条路径都以非高水平的制造、交货、退货过程数字化和高级服务作为核心条件。本文从组态视角,揭示了不同维度数字化与服务化的联动效应对高与非高企业绩效的差异化影响。本文发现有助于制造企业重新审视其当前的数字化与服务化战略。

Virtual CIM and Digital Manufacturing

Manufacturing enterprises play an important role in improving the economic environment of a country.Today,the capability to produce high quality products with shorter delivery time and the ability to produce according to the diverse customer requirements has become the characteristics of successful manufacturing industries. Application of intelligent manufacturing systems and Computer integrated manufacturing (CIM) are the most effective methods for overcoming the issues faced by present day manufactures while retaining the employment level and revenue of a country in today’s highly competitive global market. With the developments taking place in CIM and its related technologies,the application of CIM in manufacturing enterprises has become a reality from the dream. This paper highlights the historical developments towards automation and the need for CIM systems. Furthermore,it analyses some new terms such as agile manufacturing,digital manufacturing,agent-based manufacturing and others,which have been emerging recently,and argues all these new technologies are the subsystems of CIM. In addition,this paper provides a new direction in CIM to fulfil the emerging challenges in today’s global market and to satisfy the emerging need of virtual enterprises in the form of Virtual CIM.

Future Digital Design and Manufacturing: Embracing Industry 4.0 and Beyond

Digital design and manufacturing have been around for several decades from the numerical control of machine tools and automating engineering design in 1960s, through early Computer Aided Design （CAD）/Computer Aided Engineering analysis （CAE）/Computer Aided Manufacturing （CAM）, to modem digital design and manufacturing [1], and cloud manufacturing [2] converging into product lifecycle management （PLM） [3, 4] and Internet-enabled personalized manufacturing [5].

Special Issue on Future Digital Design and Manufacturing:Embracing Industry 4.0 and Beyond

Industry 4.0 as referred to the fourth industrial revolution has endorsed in several national manufacturing initiatives or development plans such as in Germany, the UK, USA and China. A set of important pervasive and secondary technologies for future manufacturing activities have been identified such as additive manufacturing, sensor technology,

Research on TQCS Strategy of Digital Manufacturing Resource Management

Heterogeneous in nature,digitized manufacturing resources are geographically distributed,and owned by different organizations each having their own resource management policies and different access-and-cost models. In this paper,by means of stateful serviceData,we make manufacturing resources as grid nodes. Considering TQCS requirements of resources in the manufacturing industry,we capture the essentials of grid resource management models and propose the TQCS market model to inquire,browse and use manufacturing resources. The manufacturing resource integration will integrate and organize the manufacture technology resource to form the core manufacture powers.

The Connotation of Digital Manufacturing Science and Its Expectation

After reviewing the phylogeny of manufacturing activities and manufacturing science and summarizing the application actuality of digital manufacturing (DM) technologies in manufacturing, the theory supporting system of digital manufacturing science (DMS) were deeply researched, including calculation manufacturing science and manufacturing informatics, bionics mechanics, manufacturing intelligent science and technical management science and so on. Then the connation of digital manufacturing technologies were dissertated, includes the digital technology set of product life-cycle, the digital manufacturing resources technology set, the manufacturing information technology set and technology characterizations of digital products. The developing directions of DMS in future were put forward at last.

数字经济对制造业收入分配的影响--基于空间面板模型的实证研究

数字经济作为推动我国经济增长的新引擎,促进了制造业高质量发展,但对制造业收入分配产生了负面影响。本文选取2013—2021年30个省份的面板数据构建空间杜宾模型,分析数字经济对制造业收入分配的影响因素。结果表明:我国各省份的制造业收入与数字经济发展水平具有显著的空间正相关性,且具有显著的区域异质性。此外,数字经济对不同制造业行业的收入水平影响具有差异性;行业异质性进一步扩大了制造业区域间收入分配的差距。