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.

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.

The Application of Knowledge Management(KM)by Small and Medium-Sized Enterprises(SME)in Manufacturing Industry

To accelerate the digital transformation of small and medium-sized manufacturing enterprises(SMEs),this study delves into the primary challenges encountered in adopting knowledge management(KM)within these organizations and identifies the essential methods for successful implementation.The objective is to provide practical recommendations for the effective adoption of KM.This research suggests that enterprises should promote knowledge management through three key approaches:enhancing employees’cognitive understanding,standardizing knowledge systems,and tailoring business scenarios to meet diverse needs.These findings offer valuable insights into the digital transformation of SMEs in the manufacturing sector,ultimately helping these businesses to remain competitive and innovative in a rapidly changing market.By addressing the specific needs and challenges faced by SMEs,this study aims to contribute to a more comprehensive understanding of how knowledge management can be leveraged to drive digital transformation and improve overall business performance.

Comparison of Production-Triggering Strategies for Manufacturing Enterprises under Random Orders

Although new technologies have been deeply applied in manufacturing systems,manufacturing enterprises are still encountering difficulties in maintaining efficient and flexible production due to the random arrivals of diverse customer requirements.Fast order delivery and low inventory cost are fundamentally contradictory to each other.How to make a suitable production-triggering strategy is a critical issue for an enterprise to maintain a high level of competitiveness in a dynamic environment.In this paper,we focus on production-triggering strategies for manufacturing enterprises to satisfy randomly arriving orders and reduce inventory costs.Unified theoretical models and simulation models of different production strategies are proposed,including time-triggered strategies,event-triggered strategies,and hybrid-triggered strategies.In each model,both part-production-triggering strategies and product-assembly-triggering strategies are considered and implemented.The time-triggered models and hybrid-triggered models also consider the impact of the period on system performance.The results show that hybrid-triggered and time-triggered strategies yield faster order delivery and lower inventory costs than event-triggered strategies if the period is set appropriately.

The Dynamic Mechanism and Realization Paths for High-quality Development of Manufacturing Enterprises in the New Era

The high-quality development of the manufacturing industry is a prerequisite and foundation for achieving high-quality economic development in the new era,and the high-quality development of manufacturing industry has to be achieved through that of the manufacturing enterprises.Based on the theory of competitive advantage and a literature review of organizational and technological innovations,this paper defines"high-quality development of manufacturing enterprises"and puts forward a dynamic mechanism analysis framework based on the"motivation–behavior"logic for such development.Based on this analysis,the paper proposes the realization paths for high-quality development of manufacturing enterprises,which are the embedding path of platform development based on technology import,the embedding path of platform development based on independent research and development(R&D),the embedding path of bilateral markets based on independent R&D and the embedding path of bilateral markets based on technology import.

Digital Transformation of Small and Medium Sized Enterprises Production Manufacturing

Industry 4.0 concepts have brought about a wind of renewal in the organization of companies and their production methods. However, this integration is subject to obstacles when it comes to Small and Medium sized Enterprises—SMEs: the costs of new technologies to be acquired, the level of maturity of the company regarding its level of digitization and automation, human aspects such as training employees to master new technologies, reluctance to change, etc. This article provides a new framework and presents an intelligent support system to facilitate the digital transformation of SMEs. The digitalization is realized through physical, informational, and decisional points of view. To achieve the complete transformation of the company, the framework combines the triptych of performance criteria (cost, quality, time) with the notions of sustainability (with respect to social, societal, and environmental aspects) and digitization through tools to be integrated into the company’s processes. The new framework encompasses the formalisms developed in the literature on Industry 4.0 concepts, information systems and organizational methods as well as a global structure to support and assist operators in managing their operations. In the form of a web application, it will exploit reliable data obtained through information systems such as Enterprise Resources Planning—ERP, Manufacturing Execution System—MES, or Warehouse Management System—WMS and new technologies such as artificial intelligence (deep learning, multi-agent systems, expert systems), big data, Internet of things (IoT) that communicate with each other to assist operators during production processes. To illustrate and validate the concepts and developed tools, use cases of an electronic manufacturing SME have been solved with these concepts and tools, in order to succeed in this company’s digital transformation. Thus, a reference model of the electronics manufacturing companies is being developed for facilitating the future digital transformation of these domain companies. The realization of these use cases and the new reference model are growing up and their future exploitation will be presented as soon as possible.

STUDY ON MEASURE OF TECHNICAL INNOVATION ABILITY IN MEDIUM AND SMALL MANUFACTURING ENTERPRISES

Measure index system of technical innovation in medium and smallmanufacturing enterprises is established according to principles of exploration, adaptability,standardization, generalization, feasibility, comparability and combination of economic benefit andcontinual development. It includes index of technical innovation capacity, informationaladministration on technical innovation, and investment of technical innovation, economic benefit,green technical level, social contribution and other influential indexes. Approach to measure oftechnical innovation in medium and small manufacturing enterprises is presented based on combinationof grey relation and fuzzy hiberarchy analysis, and conclusions are drawn based on practicalanalysis of 20 medium and small enterprises, which provides the basis for the medium and smallenterprises to select technical innovation policies and the government to constitute relativepolicies.

Customization and Performance of Service-Oriented Manufacturing Information System: The Mediating Effect of Information System Flexibility

The purpose of this paper is to provide empirical evidence for the validity of the relationship between service-oriented manufacturing information system (SMIS) customization and performance from three aspects: data flexibility, process flexibility and system flexibility. We select some questionnaires from the third round of High-performance manufacturing (HPM) data to construct the construct, verify the reliability and validity of the construct, extract principal components, and analyze the mediating effect by using multiple chain linear regression and structural equation model. The results show that SMIS customization has a significant impact on its performance, and this effect works through its flexibility. More specifically, it is the multiple chain mediation effect composed of data flexibility, process flexibility and system flexibility. The importance of SMIS customization and flexibility to the organization is made clear, which helps practitioners understand the internal mechanism that affects SMIS performance, so as to use limited resources to improve system performance.

Knowledge Spillover and R&D in Manufacturing Enterprises

Based on the database of Chinese industrial industries,a model is constructed to empirically analyze the interaction between knowledge spillovers and R&D in manufacturing industries;the mean productivity values of county and city regions have a significant positive effect on firms'R&D,which gradually decreases;an interaction term between the number of neighboring firms and the average total factor productivity of industries in different regional scopes is added,and the greater the number of neighboring firms in the neighborhood,the greater the spillover effect on research and development.In order to increase the innovation input of companies,they need to be given the space to folly exchange ideas.

To Evaluate of the Self-dependent Innovation Ability of Equipment Manufacturing Enterprises in Shaanxi Province

For an enterprise, what is important is to have the self-dependent innovation ability so that it can en- hance the core competence unceasingly and acquire sustainable competitive advantages. In this paper, the indi- cator system of the self-dependent innovation ability of equipment manufacturing enterprises in Shaanxi province is constructed, in which includes 4 one-level indicators and 13 two-level indicators; and conducts empirical re- search by applying the multi-level fuzzy comprehensive evaluation method.

Analysis on the Evolution Path of Transformation of Manufacturing Enterprises through Servitization——A Case Study Based on ShaanGu Group

Service-oriented manufacturing is an emerging innovative development model,and its core is the deep integration of products and services.It has become a hot issue in current research.In order to deeply explore the evolution path of servitization transformation of manufacturing enterprises,ShaanGu Group is taken as a case,and discusses practical application of service-oriented manufacturing model in different development processes of ShaanGu Group.Thus,four stages of transformation of ShaanGu Group through servitization are summarized:specialized after-sales service stage,rental service stage,engineering complete service stage and financial service stage.Through comparative research,it is found that general evolution path of manufacturing enterprises to service transformation is:the primary stage(providing product-oriented product service system)→the intermediate stage(providing application-oriented product service system)→the advanced stage(providing utility-oriented product service system)→the completed stage(providing pure service).On this basis,some suggestions are provided for manufacturing enterprises to integrate productive services in the process of transformation.

Factors Affecting the Profitability of Cement ManufacturingEnterprises in Tuyen Quang Province

This study focuses on analyzing the factors affecting the production and business efficiency of cement manufacturing enterprises in Tuyen Quang province. Production and business efficiency is measured by profitability ratios including return on assets (ROA), return on equity (ROE) and return on sales (ROS). Using a quantitative research method through estimating a linear regression model based on data of two cement manufacturing companies in the period 2019-2021, the research results show that the factors affecting business efficiency of cement manufacturing enterprises in Tuyen Quang province include size of enterprise, cost ratio, average collection period, inventory turnover, fixed assets turnover and debt ratio.

Developing Statistical Modellings to Investigate the Internal Drivers for the Trend of Output Values in the Manufacturing Industry:Evidence from Chinese Enterprises

The manufacturing industry is an important pillar of the national economy.It is of vital importance to develop statistical modellings in order to quantify the relationship between potential internal drivers and the trend of output values in the manufacturing industry.However,only a few statistical modellings have been established to investigate such associations.This study developed the correlation coefficient model and generalized linear model(GLM)to measure the single and interactive effects of the internal drivers on the changes of the output values.For the GLM,different predictive variables were developed to fit into the dataset,and the performance of the models were compared using fitness parameters.Furthermore,an industry survey dataset for 1,180 manufacturing enterprises in 2020 was used to validate the models.The use of the GLM combining land area,number of employees,scientific research input,and labor productivity may have a great potential to bolster capacity in monitoring and predicting the trend of output values in the manufacture industry.

ARCHITECTURE OF MANUFACTURING EXECUTION SYSTEM IN THE EXTENDED ENTERPRISE

The extended enterprise is formed according to the philosophy of dispersednetworked manufacturing. Manufacturing execution system (MES) can close the information gap whichexists between device control system and production information management system. The functions andthe web-based architecture of the MES in the extended enterprise are introduced. Using thecooperating system models of object-oriented and distributed agents and CORBA, all objects keep touniform interface standards and are easily inserted to object request broker. The utilization ofdistributed MES in extended enterprise can adapt fast change of manufacturing environment andresource. It also can improve the independent management capability of manufacturing cell and theenterprise response capability to global economic competition.

Impact of H1N1, H7N9, ASFV, dengue virus and COVID-19 on pharmaceutical manufacturing firms' R&D investments and economic consequences: Evidence from China

Objective:To determine the impact of major disease epidemics on pharmaceutical manufacturing firms'Research&Development(R&D)investments and economic consequences.Methods:The sample consists of 1582 firm-year observations from 2009 to 2022 in China,of which,26.6%of pharmaceutical companies are involved in the diagnosis and treatment of prevalent diseases.Linear models using R&D investments,patent applications,operating performances and stock returns as dependent variables are constructed separately to examine the response of pharmaceutical companies to disease epidemics and the resulting economic consequences.Results:The prevalence of five major diseases led to a 17.5%increase in the amount of R&D investment and an 87.8%rise in the ratio of R&D investment to total assets by disease-related pharmaceutical companies,compared to unrelated pharmaceutical companies.Further evidence indicated that the patent applications for disease-related firms increased by 44.3%relative to unrelated firms after the epidemics.Though the impacts of the epidemics on firms’operating performances were insignificant in the short term,a major disease epidemic was associated with an increase in stock returns of 67.4%and 44.6%,respectively,as measured by the capital asset pricing model and Fama-French five-factor model.Additional analysis revealed that the impacts of the epidemics on R&D investments and patent applications were more pronounced for non-state-owned enterprises than state-owned enterprises.Conclusions:This study demonstrates that disease-related pharmaceutical firms respond to the disease epidemics through increasing R&D investment.More patent applications and higher market value are the main gains from the firms’increased investments in R&D following the epidemic,rather than the improvements of short-term operating performances.

Multilevel manufacturing system of virtual enterprise based on manufacturing grid and strategies for member enterprise selection and task assignment

In order to improve efficiency of virtual enterprise, a manufacturing grid and multilevel manufacturing system of virtual enterprise is built up. When selecting member enterprises and task assignment based on the manufacturing grid, key activities are assigned to the suitable critical member enterprises by task decomposition, enterprise node searching and characteristic matching of manufacturing resources according to the characteristic matching strategy. By task merger, some ordinary activities are merged with corresponding key activities and assigned to corresponding critical member enterprises. However, the other ordinary activities are assigned to the related ordinary member enterprises with enterprise node searching and characteristic matching of manufacturing resources. Finally, an example of developing the artificial hip joint in the virtual enterprise is used to demonstrate that efficiency of the virtual enterprise is improved by using the manufacturing grid and the proposed strategies for member enterprise selection and task assignment.

Research of Enterprise Resource Management Supporting Networked Manufacturing

The nature of networked manufacturing and agile manufacturing is to recognize enterprise resources timely and accurately. This paper mainly discusses an enterprise resource model method and the construction process. Furthermore, the system frameworks of software and application are put forward to realize various enterprise resources management based on a resource business process. Thus, we ensure the integration and sharing of enterprise resources for the requirement of networked manufacturing.

Tele-service and Its Influence on the Manufacture Enterprises

The enterprise business area becomes larger and larger, its clients distribute wider and wider, how to give remote clients an efficient service in time is a problem. In the same time, the electronic commerce requires a service method to serve the commerce partner in the entire world. The tele service method to solve these problems was discussed. It includes the concept of tele service, the general architecture of the tele service system and the influence of tele service system on the manufacture enterprises.

Manufacturing enterprise collaboration network:An empirical research and evolutionary model

With the increasingly fierce market competition,manufacturing enterprises have to continuously improve their competitiveness through their collaboration and labor division with each other,i.e.forming manufacturing enterprise collaborative network(MECN)through their collaboration and labor division is an effective guarantee for obtaining competitive advantages.To explore the topology and evolutionary process of MECN,in this paper we investigate an empirical MECN from the viewpoint of complex network theory,and construct an evolutionary model to reproduce the topological properties found in the empirical network.Firstly,large-size empirical data related to the automotive industry are collected to construct an MECN.Topological analysis indicates that the MECN is not a scale-free network,but a small-world network with disassortativity.Small-world property indicates that the enterprises can respond quickly to the market,but disassortativity shows the risk spreading is fast and the coordinated operation is difficult.Then,an evolutionary model based on fitness preferential attachment and entropy-TOPSIS is proposed to capture the features of MECN.Besides,the evolutionary model is compared with a degree-based model in which only node degree is taken into consideration.The simulation results show the proposed evolutionary model can reproduce a number of critical topological properties of empirical MECN,while the degree-based model does not,which validates the effectiveness of the proposed evolutionary model.