Development Of Manufacturing Industry Research Articles

A Study on the Interaction Between Population Mobility and High-Quality Development of Manufacturing Industry in China —Based on the Data of Fujian Province

This paper uses relevant mathematical statistical models to verify the interactive effect between population mobility and the high-quality development of the manufacturing industry based on the panel data of 43 counties in the Fujian province from 2007 to 2021. The results show that (1) the inflow areas of population flow in the Fujian province are mainly concentrated in the southeast region; (2) there is mutual promotion between population mobility and the high-quality development of the manufacturing industry in the Fujian province, and the population mobility in adjacent areas has a significant promotion effect on the high-quality development of the local manufacturing industry; and (3) heterogeneity results show that after 2011, the interaction effect between population mobility and the high-quality development of the manufacturing industry has declined, and population inflow has a stronger role in promoting the high-quality development of the manufacturing industry than population outflow. The conclusions of this study are of great significance to the Fujian province for implementing a reasonable population policy and promoting the coordinated development of manufacturing enterprises.

Advancing Sustainable Decision Making in Additive Manufacturing: A Comprehensive Review of Multi-Criteria Decision Making Approaches

Additive manufacturing (AM) is one of the technologies of Industry 4.0 that has been contributing to the development of different manufacturing industries. The integration of sustainability concepts into additive manufacturing has been gaining attention among researchers. This integration is essential in the development of AM technologies and can be a significant asset in terms of decision making for organizations. This work aims to present a concise literature review on the integration of decision making, especially multi-criteria decision making, and sustainability into the AM environment. The literature on this topic currently possesses a total of fifteen documents, which were analyzed in this work. Some developments on this topic have been achieved in domains such as material selection, process selection and challenges, and drivers’ analysis of sustainable AM. This review shows that even though there has been an effort in recent years to integrate sustainability into additive manufacturing, there is still a long road to the development of this topic for the future, and so some recommendations for future research paths are presented.

Research on the Profitability Analysis and Promotion Strategy of Yunnan Baiyao

In recent years, due to the aging of the population, people's health awareness is gradually improving, and the development of the pharmaceutical manufacturing industry has also been widely concerned by the people. Combined on the DuPont analysis system, comparative analysis and the current situation of Yunnan Baiyao, this paper analyzed the profitability of Yunnan Baiyao, found the deficiencies in its operation and management, and put forward relevant suggestions and strategies.

Influence Factors of Digital Economy on the Willingness of Equipment Manufacturing Industry to Green Production in the Era of Artificial Intelligence

In the age of artificial intelligence, the digital economy significantly promotes green production in manufacturing. It optimizes processes, recycles resources, drives green tech innovation, and boosts product sustainability. While there's ampleresearch on green manufacturing, studies linking it to the digital economy are limited. Given the machinery manufacturing sector's strategic importance and China's focus on green, sustainable manufacturing, this study bridges that gap. Using the Theory of Planned Behavior (TPB) and Normative Activation Model (NAM), it examines how the digital economy influences green production intentions in equipment manufacturing. The study surveys Middle Eastern equipment manufacturers, analyzes the data with SmartPLS, and finds that the digital economy positively impacts green production via personal norms, responsibility, consequence awareness, attitudes, and cost savings. These factors mediate the relationship between the digital economy and green production intentions. The paper concludes with practical recommendations based on these findings. In the era of artificial intelligence, how the digital economy provides a new path to the green production of the manufacturing industry, and provides a theoretical reference for the sustainable development of the equipment manufacturing industry.

Energy intensity of Russia's industrial regions: Assessment and potential for reduction

Subject. This article discusses the issues of development of mining and manufacturing industries and energy consumption growth. Objectives. The article aims to develop strategic recommendations to reduce the energy intensity of some regions' economy, taking into account the potential for the region's development. Methods. For the study, I used various methods of statistical data processing. Results. The article finds that technological and production factors have an impact on reducing the energy intensity of industrial regions. Conclusions. When making decisions aimed at improving the energy efficiency of the region's economy, it is necessary to take into account both the growth rate of the volume of shipped goods of own production and the specifics of energy consumption in the region.

The influence of gear load distribution based on coupled systems on gearbox meshing noise

Introduction: With the rapid development of the gearbox manufacturing industry, the internal gear response has received attention, and the control of meshing noise during gear operation has been studied. Conventional noise reduction methods are usually based on gear order, and with the improvement of gearbox manufacturing technology, this method gradually becomes difficult to cope with a wide range of data.Methods: To expand the search domain of noise control systems, this study combines gear response and gear order, and adds the condition of gear uniform load. For common noise reduction problems in composite systems, this study improves the time-varying stiffness excitation mechanism and generates a coupled system.Results: Finally, this study conducts experiments on the Gmnoi dataset and compares it with three systems including quantum genetics to verify the superiority of the proposed system. The suppression effects of the four systems on gear meshing noise were 98.4%, 95.8%, 93.5%, and 92.7%, respectively. Their highest performance for different gear groups was 623, 514, 406, and 423, respectively.Discussion: The experimental results showed that the proposed coupling system has strong robustness and high accuracy in controlling gearbox meshing noise, and is of great significance in reducing noise pollution and improving the working environment of the gearbox.

Research on the mechanism and policies of polycentric agglomeration for promoting the upgrading of China's position in the global production value chain

Recently, with the increasing trend of anti-globalization, China's manufacturing industry has encountered instability in the supply of upstream products in international trade, a challenge that has given rise to an urgent demand for ways to improve China's position in the global production chain. In response to this challenge, the 14th Five-Year Plan puts forward the strategic goal of building multi-level, multi-node, networked city clusters and trade powerhouses, which provides new development opportunities for China to strengthen its position in the global production chain through the model of polycentric agglomeration. In order to gain a deeper understanding of the impact of polycentric agglomeration on the position of enterprises in the global production chain, this project will use the instrumental variable estimation method to conduct an empirical study. This method can help us accurately identify the causal relationship between polycentric agglomeration and global production chain position and assess the differential impact of different agglomeration patterns on firms' production chain position. Through this study, we expect to reveal how polycentric agglomeration can enhance firms' global production chain positions through mechanisms such as optimizing resource allocation, promoting technological innovation, and strengthening industrial chain synergies. In addition, we plan to explore the impact of polycentric agglomeration on the evolution of firms' roles in global value chains and on international trade competitiveness. The objective of this study is to provide targeted recommendations for policymakers and enterprises to help them achieve high-quality development of China's manufacturing industry by optimizing the structure of polycentric agglomeration in the context of global production chain restructuring. Through this comprehensive study, we expect to provide scientific decision support and action guidelines for China's sustainable upgrading and competitiveness enhancement in global production chains.

The Impact of Digital Transformation on the High-quality Development of the Manufacturing Industry

The digital transformation of manufacturing industry facilitates enterprises to access and utilize data information to improve the efficiency of resource allocation, expand product and service business models, and accumulate human capital stock to empower the high- quality development of manufacturing industry by creating a large number of databases. This paper adopts panel data of 30 provinces and cities in China from 2011-2020, and uses system GMM to verify the correlation between two variables. It also introduces environmental regulation as a threshold variable to analyze the threshold effect. The results of the study indicated that: firstly, the association between digital transformation of manufacturing industry and high-quality development of manufacturing industry shows a U-shaped relationship, secondly, the digitalization of manufacturing industry exhibits different impact effects on the four dimensions of high-quality development of manufacturing industry, and lastly, only when the environmental regulation is within a certain level, it can have a driving effect on high-quality development of manufacturing industry. Therefore, it is important to grasp the strategic opportunities of digital economy, strengthen the integration of digital economy and traditional industries, accelerate the digital transformation of manufacturing enterprises, and improve the high-quality development of China's manufacturing industry.

A Decomposition-Based Multi-Objective Evolutionary Algorithm for Solving Low-Carbon Scheduling of Ship Segment Painting

Ship painting, as one of the three pillars of the shipping industry, runs through the whole process of ship construction. However, there are low scheduling efficiency and excessive carbon emissions in the segmental painting process, and optimizing the scheduling method is an important means to achieve the sustainable development of the ship manufacturing industry. To this end, firstly, a low-carbon scheduling mathematical model for the segmented painting workshop is proposed, aiming to reduce carbon emissions and improve the painting efficiency of the segmented painting workshop. Second, an artificial bee colony algorithm designed based on a decomposition strategy (MD/ABC) is proposed to solve the model. In the first stage, five neighborhood switching methods are designed to achieve the global search employed for each solution. In the second stage, the Technique of Ordering the Ideal Solutions (TOPSIS) improves the competition mechanism through the co-evolution between neighboring subproblems and designs the angle to define the relationship between neighboring subproblems to enhance the localized search and improve population quality. The solution exchange strategy is used in the third stage to improve the efficiency of the algorithm. In addition, a two-stage coding method is designed according to the characteristics of the scheduling problem. Finally, the algorithm before and after the improvement and with other algorithms is analyzed using comparative numerical experiments. The experimental results show the effectiveness of the algorithm in solving the low-carbon scheduling problem of ship segmental painting and can provide reliable guidance for the scheduling program of segmented painting workshops in shipyards.

Multi-task prediction of hot rolled steel mechanical properties based on CA-MMCE

The accurate prediction of mechanical properties of multi-task hot rolling steel is of great significance to the development of manufacturing, construction, and other industries, and can effectively improve the efficiency of continuous quality control of the hot rolling process. Aiming at the problem that the existing deep models lack interpretability in the field of steel rolling, the hot rolling process was deeply analyzed, and the temperature fluctuation was integrated into the input features as a process variable through feature augmentation to obtain the correlation between features. In order to solve the problem that the conventional Attention mechanism only focuses on the overall global information, a Convolutional Attention mechanism (CA) is proposed to focus on local feature information and improve the ability of the network to extract local key features. At the same time, so as to solve the negative transfer problem of the multi-task model, a Multi-gate Mixture of Convolutional Experts (MMCE) is proposed, which uses multi-gate to adjust the influence of each convolutional expert network on different tasks to capture the correlation between tasks. Thus, it can ensure that multiple tasks can be accurately predicted. Experimental results show that, compared with the existing models, the proposed model achieves excellent prediction performance in multi-task prediction and is advanced.

An empirical study on the factors influencing the new product development process in Indian automobile industries

Automobile manufacturing industries are looking at innovative ways to improve their company processes globally to maintain profitability in an increasingly complicated and competitive global market. There is fierce competition in the automotive business, which is evolving quickly. A crucial constituent of an organization’s success, survival, and vitality in such industries is the process of new product development. Several studies have been conducted to investigate the success factors of the new product development process in the Automobile industry. This research work tested the hypothesis that factors influence the process of new product development in the Automobile manufacturing industries of Maharashtra. The evidence was collected from higher officials of respective industries. The findings show that market orientation, market competition, and organizational culture have a significant impact on the New Product Development Process in the Automobile Manufacturing industry. The result of this study also shows that the role of governance and organization competence and resources do not impact the New Product Development Process. This suggests that management in the Automobile manufacturing industry strategy should focus on all the possible influential factors during the process of product development.

STUDY ON THE SUSTAINABLE DEVELOPMENT OF CHINA'S EXPORT MANUFACTURING ENTERPRISES IN THE YANGTZE RIVER ECONOMIC BELT UNDER THE BACKGROUND OF "DOUBLE CARBON"

As a core part of the national economy, manufacturing is the key to achieving sustainable economic development. However, the development of China's manufacturing industry faces many problems, such as poor industrial structure, lack of key core technologies, and serious overcapacity, which seriously affect the quality of China's manufacturing industry. The Yangtze River Economic Belt not only has great strategic significance for coordinating the development of the east, middle and west China, but also a demonstration belt for the sustainable development of manufacturing industries. Amid the Chinese government's "double carbon" implementation in 2020, how to transform and upgrade these export manufacturing enterprises and find a path to sustainable development is a major challenge they will have to face. Therefore, on the basis of combing domestic and foreign literature, taking "quality-sustainable development-sustainable development of manufacturing industry" as the logic line, and combine the theory of sustainable development, environmental Kuznets curve theory, equatorial principle theory, and corporate governance theory. Second, it measures and evaluates the sustainable development of manufacturing industry in the Yangtze River Economic Belt from 2007 to 2019 through quantitative research. Conclusions: When assessing the status, the quality level of sustainable development of manufacturing industry in the Yangtze River Economic Belt has been steadily improving, more than 80% of the provinces and cities in the Yangtze River Economic Belt have high and medium quality. Finally, targeted countermeasures and proposals are put forward.

Green innovation efficiency measurement of manufacturing industry in the Beijing-Tianjin-Hebei region of China based on Super-EBM model and Malmquist-Luenberger index

Promoting sustainable development in manufacturing is a paramount goal, with a focus on advancing green innovation. This study constructs a system for evaluating green innovation efficiency and employs the Super-EBM model, incorporating unexpected output, to assess the efficiency of green innovation in 13 cities across the Beijing-Tianjin-Hebei region from 2011 to 2020. The study further conducts dynamic analysis using the Malmquist-Luenberger index. Results reveal that, statically, the overall green innovation efficiency in the manufacturing industry of the Beijing-Tianjin-Hebei region is inefficient. There exists a considerable gap in green innovation efficiency among Beijing, Tianjin, and Hebei, with Beijing and Tianjin demonstrating superior performance compared to Hebei. Substantial variations exist in the green innovation efficiency of manufacturing across different cities in the Beijing-Tianjin-Hebei region. Only Beijing, Qinhuangdao, and Baoding achieve DEA-effective green innovation efficiency in the manufacturing industry, while the other cities do not. Dynamically, the green innovation efficiency of the manufacturing industry in the Beijing-Tianjin-Hebei region is on the rise. There is a varying degree of improvement in green innovation efficiency in Beijing, Tianjin, and Hebei, with Hebei showing the highest improvement, Tianjin ranking second, and Beijing having the least improvement. With the exception of Langfang and Hengshui, the green innovation efficiency in the manufacturing industry is improving in most cities in the Beijing-Tianjin-Hebei region, with Hebei witnessing the most significant improvement. This study aims to integrate “environmental pollution” into the evaluation index system for green innovation efficiency. It assesses green innovation efficiency in the manufacturing industry of the Beijing-Tianjin-Hebei region, considering both static and dynamic perspectives. This clarification offers insights into the level of green innovation, contributing valuable information for the advancement of high-quality development in the regional manufacturing industry.

PERENCANAAN PENJADWALAN PREVENTIF MAINTENANCE MESIN COLD PRESS PADA PT. XYZ

The development of the manufacturing industry is currently experiencing rapid progress in line with the development of the global manufacturing industry. In line with this, it certainly has an impact on producers or suppliers. Companies are required to always provide satisfaction to consumers or customers, namely by providing services and providing products of the highest quality. Good products are of course produced through the best process as well. Increasing productivity in the production system is an absolute thing that must be done. To achieve production productivity, namely by increasing or rehabilitating production machines at the company. In producing a product, maintenance activities are needed. Maintenance is an activity to maintain the reliability of a facility so that the facility can function properly and is ready to function. Regular maintenance is expected to extend the life of production machines so they don't get damaged and don't interfere with production activities.

Laser Shock Peening: Fundamentals and Mechanisms of Metallic Material Wear Resistance Improvement.

With the rapid development of the advanced manufacturing industry, equipment requirements are becoming increasingly stringent. Since metallic materials often present failure problems resulting from wear due to extreme service conditions, researchers have developed various methods to improve their properties. Laser shock peening (LSP) is a highly efficacious mechanical surface modification technique utilized to enhance the microstructure of the near-surface layer of metallic materials, which improves mechanical properties such as wear resistance and solves failure problems. In this work, we summarize the fundamental principles of LSP and laser-induced plasma shock waves, along with the development of this technique. In addition, exemplary cases of LSP treatment used for wear resistance improvement in metallic materials of various nature, including conventional metallic materials, laser additively manufactured parts, and laser cladding coatings, are outlined in detail. We further discuss the mechanism by which the microhardness enhancement, grain refinement, and beneficial residual stress are imparted to metallic materials by using LSP treatment, resulting in a significant improvement in wear resistance. This work serves as an important reference for researchers to further explore the fundamentals and the metallic material wear resistance enhancement mechanism of LSP.

Russian manufacturing industry development in the context of import substitution

The relevance of the study is emphasized by the urgent need caused by the sanctions and geopolitical tensions, which manifested itself in disruptions in the foreign materials and consumer goods inflow to Russia. This in turn affected the operation of the country’s vast manufacturing sector. Such a scenario requires innovative conceptual paradigms development for managing the industrial sector in the forced import substitution era. This article attempts to identify and critically evaluate both existing and emerging strategic directions required to upgrade the nation’s industrial machinery to ensure its operational efficiency in the present circumstances. A scholarly effort con sisting of a thorough analysis and expert papers synthesis relevant to this issue has formed the basis of the study. The ways of solving the problems facing the Russian manufacturing industry in the conditions of forced adaptation and modernization have been traced and identified. The socio-economic vector occupies a central place in the formulated resolution, proclaiming the harmonious unification of efforts to diversify production as a potential lever to stimulate inter-sectoral industrial growth. The author has not only identified various areas ripe for strategic transformation, but also emphasized the critical turn towards a socio-economic trajectory that seeks to utilize all available factors. Collective organization of diversified industrial activities can indeed serve as a catalyst to break the current industrial impasse.

Digital twin for product versus project lifecycles’ development in manufacturing and construction industries

AbstractDigital twin, as an important enabling tool for digital transformation, has received increasing attention from researchers and practitioners since its definition was formalised. Especially in the global context and exacerbated by Covid-19, the applications of the digital twin have offered opportunities for many industries. While the digital twin has already been widely used in many sectors such as manufacturing and the construction industry—one of the key engines of economic development, is still lagging behind many other sectors. This study uses the systematic literature review to assess the applications of digital twin in manufacturing and construction respectively, the benefits it brings, and the impediments to its application. Based on this, a comparison is made of digital twin applications in the manufacturing and construction industries to draw lessons. This study concluded that although the use of digital twin in manufacturing is better than construction overall, it is still not reaching its full potential. Despite many benefits brought by the digital twin to construction during the project lifecycle, the construction sector faces even greater challenges than manufacturing in digital twin adoption. By comparison, this study drew five lessons to drive better adoption of the digital twin. The construction industry needs to accelerate the deployment of relevant hardware, promote the standard unification of digital twin, explore the whole lifecycle application of the digital twin, enhance data protection, and embrace changes. This study was limited in the scope of data collection. Future research could focus on gathering information from specific case studies, to produce more comprehensive perspectives.

The Development Status of the Manufacturing Industry and the Impact of Digital Characteristics from the Perspective of Innovation

From the perspective of innovation of manufacturing links, this paper conducted research on the current situation of manufacturing development and the relationship between regional economy development and digital transformation, aiming to offer suggestions and reference for relevant policy making. Firstly, taking the INCOPAT patent database as the data source, a quantitative analysis was conducted on the patent data of five key links in the manufacturing industry, which obtained the current situation and digital characteristics of the manufacturing industry development from the perspective of link innovation. Then, based on the relevant economic panel data of regions in China, coupling coordination analysis was conducted to investigate the current characteristics of digital transformation of the five links and the coordinated development of the regional economy from 2017 to 2021. The development level and characteristic relations of 31 provinces or cities in these two systems were analyzed. On the whole, the coordinated development level of the two systems in China is steadily rising but varies among different regions, that is, economically developed regions tend to have better digital transformation development. In general, manufacturing digital transformation in China highly relates to regional economy development. Moreover, the development speed of the two systems tends to be stable from 2017 to 2021. The regions with different coordinated development types should formulate corresponding policies to accelerate manufacturing digital transformation and regional economy development.

Influence of martensitic transformation on the surface integrity aspects during sustainable turning of NiTi-SMA

With the development of the equipment manufacturing industry towards the direction of intelligence, the demand for the use of intelligent materials is increasing, and high-performance shape memory alloy (SMA) products are getting more and more attention. However, the current machining quality of shape memory alloy products can not meet the existing quality requirements. The mechanism of surface integrity of NiTi SMA needs to be revealed. The influence of martensitic transformation on microstructure, roughness, hardness, and superelasticity was explored. The occurrence of martensitic transformation is determined by controlling the cutting speed (lower and higher cutting speeds) and machining conditions (dry and liquid nitrogen conditions). The superelasticity was expressed quantitatively by the remnant depth ratio. The occurrence of martensitic transformation promoted the formation of the affected layer and work hardening. Meanwhile, it is an important reason for the increase in roughness and the decrease in superelasticity.

Exploration and Reflection on the Construction of Intelligent Manufacturing Professional Clusters for Industrial Internet

In the trend of the transformation of the manufacturing industry towards intelligence promoted by industrial internet technology, the traditional curriculum system related to the manufacturing industry cannot meet the requirements of society and industry for talent knowledge structure and skill training, which puts forward new requirements for undergraduate major construction and development. This article relies on the advantages of the industrial internet location in the Yangtze River Delta region, combined with the needs of regional industrial development, and the problems in the current process of intelligent manufacturing professional construction. Taking the construction of the intelligent manufacturing major cluster at the Nanjing University of Science and Technology ZiJin College as an example, in response to the needs of the development of the intelligent manufacturing industry and the problems in the current process of cultivating intelligent manufacturing talents, this article focuses on the construction of the teaching staff, revision of the curriculum system, construction of scientific research and virtual simulation teaching platforms, multi-disciplinary and multi-angle collaborative education models, providing reference for the reform of applied engineering and technology talent cultivation models in the manufacturing industry in the era of industrial internet.