Clothing Textiles Research Articles

State of the Art of Presentation of Clothing Textiles in E-Commerce with Size Matching Issues

Abstract “According to Lingaro’s analysis, the return of a product generates 5 times more CO2 than the purchase itself. Thus, the optimization of online e-commerce purchasing processes is a serious challenge not only for business, but mainly for the protection of the environment and our global health.” Presentation of textiles and clothing in e-commerce in Poland has remained unchanged since the beginning of e-commerce (the setup of Allegro auction site in the early 2000s) until now with little exceptions of new technology trends powered by EU funds. In Poland, WearFits introduces an R&D solution in the form of a virtual fitting room presented in augmented reality (AR) view to decrease returns of textile clothing bought online. It uses an avatar of human size and shape of the customer’s body for fitting the three-dimensional models in AR view. The purpose of the article is to review the state of the art of presentation of clothing textiles in e-commerce in the world and in Poland for selling textiles online and to emphasize the problem of size matching in the context of returns.

Microbial profile of T-shirts after a fitness session of Chinese students

Clothing textiles could protect our human skin against external factors, but the microbial population, including conditional pathogens, in clothing, would cause unpleasant odor, Skin inflammation, and textile deterioration. Several studies have reported that microbiomes on clothes are affected by skin microorganisms of individuals, the local environment and the types of textile fabrics, but little is known about how the textile microbial community is shaped in the Chinese population. In this study, 10 healthy young students were recruited to successfully wear the T-shirts made with 3 different fabrics (polyester, cotton, and blending fabrics of polyester and cotton) during physical exercise. Total deoxyribonucleic acid (DNA) was extracted from 30 T-shirts and 16s rRNA gene amplicon sequencing was applied to estimate the absolute abundances of bacteria in the samples. The main bacteria on wore T-shirts were Staphylococcus (21.66%) Enhydrobacter (13.81%), Pantoea (8.14%), Acinetobacter (7.81%), Pseudomonas (6.18%), Cutibacterium (4.99%). However, no difference of α and β diversity was observed among the three textile fabrics. Further analysis found that Pantoea and Pseudomonas, mainly from the environment, enriched on the polyester, but not on cotton, while Enhydrobacter, from human skin, has the growth advantage on cotton, and the blending fabric in between. Collectively, our study preliminary explored the clothes microbiome in Chinese young students, contributing to helping understand the role of clothing microorganisms on human health.

PERANCANGAN TEKSTIL PAKAIAN DENGAN PEWARNA DARI SAMPAH MANGROVE DAN PENERAPAN MOTIFNYA DENGAN PADUAN TEKNIK IKAT CELUP DAN ECO PRINTING

The background of this design, there is an exploration of manual textile techniques among textile designers, this is in line with the demands of the times, namely, the development of existing trends in order to meet the needs of consumers and the market. The combination of tie-dying and eco-printing techniques attracts attention to be explored again using natural dyes with the addition of embroidery techniques on Bemberg cloth media, which will produce textiles with novelty in their aesthetic motifs. The purpose of this design is to produce clothing textiles with novelty in their unique motif aesthetics among textile designers to meet the needs of consumers and the market. The novelty value offered in this design is the design of clothing textiles according to fashion patterns with a combination of dyeing and eco printing techniques with embroidery techniques. Natural coloring using extraction from mangrove waste. Composing motifs using natural dyes from mangrove waste with two fixations of quicklime and tunjung to obtain varied visual aesthetics in one natural coloring. The media used in this blend of tie-dying and eco-printing techniques is bemberg cloth. Bemberg cloth material was chosen because it has very good absorption. The design method uses the SP Gustami theory. This design produces 6 unique designs with visual ideas of line, plane and color, which can be achieved by a combination of tritik, jumputan tie-dyed and eco printing techniques, three of which are applied to sheets of cloth measuring 200cm long and 120cm wide. It is hoped that the "Design of Clothing Textiles with Dye from Mangrove Waste and the Application of its Motifs with a Combination of Ikat Dip and Eco Printing Techniques" can add variety to fashion products that have unique, distinctive and limited edition characters.

PERANCANGAN BATIK WONOGIREN DENGAN INSPIRASI MOTIF ISEN TATAHAN WAYANG KULIT GAYA SURAKARTA

The tourism of batik and shadow puppets in Wonogiri Regency is quite potential to attract local and foreign tourists. This design is an effort to preserve beauty in Wonogiri and is expected to increase the diversity of Wonogiren Batik motifs to make it more attractive. The design method is through the stages of problem analysis, problem solving strategies, data collection, data sources, testing, and initial design ideas. The design results of this final project resulted in 6 batik designs with 2 realization designs. The batik motifs are taken from 6 motifs of isen inlaid wayang kulit Surakarta style which are applied in each design as the main motif and filler. Motive processing is supported by biomorphic patterns and abstractions as topographical representations of Wonogiri district. Two batik designs are made into primisima cotton cloth measuring 200cm x 115cm using handwritten batik techniques and coloring using remasol using the dabbing technique. The results of this design are applied as clothing textiles.

PENGARUH UPAH DAN INSENTIF TERHADAP PRODUKTIVITAS KERJA KARYAWAN PADA PT. DELTA MERLIN SANDANG TEXTILE I SRAGEN

The company needs a productive workforce but there are still employees who cannot achieve the target according to the plan/on time in a job. If the wages and incentives are not in accordance with the employee's work, it will cause problems with employee productivity. This study is intended to determine the effect of wages and incentives on work productivity of employees of PT. DMST 1 Sragen. Researchers use quantitative research. For the population in this study, namely all employees of the CD unit at PT. DMST I Sragen with 1000 employees. Meanwhile, when the population is more than 100, it can be taken as much as 10% or 20% - 25% more. Thus, 10% x 1000 = 100 samples are taken. The significance value of 0.000 < 0.05 shows that wages have a significant effect on the work productivity variable. A significance value of 0.512 > 0.05 indicates that incentives do not significantly affect the work productivity variable. The significance value of 0.000 is less than 0.05. It can be concluded that all independent variables (wages and incentives) in this study have a significant effect on work productivity. There is a significant influence between wage variables on employee work productivity at PT. Delta Merlin Clothing Textile 1 Sragen. There is no significant effect between the incentive variables on the work productivity of employees at PT. Delta Merlin Clothing Textile 1 Sragen. It is known that wages and incentives variables simultaneously have a significant effect on employee work productivity at PT. Delta Merlin Clothing Textile 1 Sragen.

Effect of consumer ethnocentrism on purchase intention of consumers in Myanmar

Purpose- Ethnocentrism in consumers plays an vital role in predicting user behavior when deciding between imported and domestic goods. This research works tries to identify the consumer ethnocentrism of consumers in Myanmar textile market. The specific objectives of this study are to examine the consumer ethnocentrism of consumers in Myanmar textile market and to investigate the effect of consumer ethnocentrism on purchase intention of consumers in Myanmar textile market. Methodology- The study area was Myanmar market. The selected sample size was 386 consumers who have buying experiences for local textile clothes. The convince sampling method used in this study. The research instrument used as survey questionnaire for collect the data. The structure questionnaire was used for this study. There were three parts in questionnaire- the first one demographic section and the last is consumer ethnocentrism scale. According to the CEESCALE model, consumer ethnocentrism scale was 19 items for all variables. Purchase intention has 5 items. 5 points Likert scale questions types used for measure the consumer ethnocentrism and purchase intention. Descriptive analysis and multiple linear regression method were used in this study in order to analyze the collected data. Moreover, reliability analysis was used for analyze the reliable of collected data under each variable. Findings- This study found that insecurity, habituation and prosociality have strongly significant effect on purchase intention of consumers in Myanmar textile market. In addition, the mean value of purchase intention 3.8 that above the natural scale and nearly reach to the agree statement. Conclusion- After analyze the collected data this study determined that consumer ethnocentrism affect consumers' purchase intentions. By measuring the consumer ethnocentric tendencies managers can create a database that will be fruitfully incorporated into marketing strategy development. This study concluded that CEESCALE model is a tool for verify the interesting results in other developing countries. The managerial implications and suggestions of the research are discussed in detail. Keywords: Consumer ethnocentrism, CEESCALE model, purchase intention JEL Codes: M40, M41

Hazardous chemical elements in cleaning cloths, a potential source of microfibres

Although potentially hazardous chemical elements (e.g., Cu, Cr, Pb, Sb, Ti, Zn) have been studied in clothing textiles, their presence in cleaning textiles is unknown. In this study, 48 cleaning cloth products (consisting of 81 individual samples) purchased in Europe, and consisting of synthetic (petroleum-based), semi-synthetic or natural fibres or combinations of these different types, have been analysed for 16 chemical elements by X-ray fluorescence (XRF) spectrometry. Titanium was detected in most cases (median and maximum concentrations ~3700 and 12,400 mg kg−1, respectively) and Raman microspectroscopy revealed that TiO2 was present as anatase. Barium, Br, Cr, Cu, Fe and Zn were frequently detected over a range of concentrations, reflecting the presence of various additives, and Sb was present at concentrations up to about 200 mg kg−1 in samples containing polyester as catalytic residue from the polymerisation process. Lead was detected as a contaminant in four samples and at concentrations below 10 mg kg−1. Overall, the range of the chemical element profiles and concentrations was similar to those for clothing materials published in the literature, suggesting that broadly the same additives, materials and processes are employed to manufacture cloths and clothing textiles. The mechanisms by which potentially hazardous chemical elements are released into the environment with microfibres or mobilised into soluble or nano-particulate forms remain to be explored.

Pengaruh stres kerja, kepuasan kerja dan job insecurity dimasa pandemi covid-19 terhadap turnover intention karyawan

This study aims to determine the effect of job stress, job satisfaction and job insecurity on the turnover intention of employees of PT. Delta Dunia Clothing Textiles Demak . Respondents in this study were employees of PT. Delta Dunia Sandang Tekstil Demak with a sample of 290 employees. The data collection process was carried out by distributing questionnaires through the media google form and manual paper to all employees of PT. Delta Dunia Clothing Textile Demak. This research uses quantitative methods. The data collection method used a simple sampling. This study uses multiple linear regression analysis using statistical test tools. The data processing of this research uses the IBM SPSS 24 tool.
 The results of this study indicate that there is a positive and significant effect between job stress on turnover intention, and job satisfaction has a negative and significant effect on turnover intention and job insecurity has a positive and significant effect on turnover intention. Job stress, job satisfaction and job insecurity together have a positive and significant effect on turnover intention. The regression equation obtained is Y = 12,523. Job stress has a positive effect of 0,353 on turnover intention, job satisfaction has a negative effect of -0,087 and job insecurity has a positive effect of 0,239. Based on the results of the research that has been done, the Adjusted R Square value is 0.819 or 82.9%. This shows that the variable turnover intention can be explained by the variables of job stress, job satisfaction and job insecurity, which is 82.9%, while the remaining 0.181 or 18.1% is influenced by other variables not examined in this study.
 

Molecular and Colloidal Transport in Bacterial Cellulose Hydrogels.

Bacterial cellulose biofilms are complex networks of strong interwoven nanofibers that control transport and protect bacterial colonies in the film. The design of diverse applications of these bacterial cellulose films also relies on understanding and controlling transport through the fiber mesh, and transport simulations of the films are most accurate when guided by experimental characterization of the structures and the resultant diffusion inside. Diffusion through such films is a function of their key microstructural length scales, determining how molecules, as well as particles and microorganisms, permeate them. We use microscopy to study the unique bacterial cellulose film via its pore structure and quantify the mobility dynamics of various sizes of tracer particles and macromolecules. Mobility is hindered within the films, as confinement and local movement strongly depend on the void size relative to diffusing tracers. The biofilms have a naturally periodic structure of alternating dense and porous layers of nanofiber mesh, and we tune the magnitude of the spacing via fermentation conditions. Micron-sized particles can diffuse through the porous layers but cannot penetrate the dense layers. Tracer mobility in the porous layers is isotropic, indicating a largely random pore structure there. Molecular diffusion through the whole film is only slightly reduced by the structural tortuosity. Knowledge of transport variations within bacterial cellulose networks can be used to guide the design of symbiotic cultures in these structures and enhance their use in applications like biomedical implants, wound dressings, lab-grown meat, clothing textiles, and sensors.

Bibliometric Analysis of Artificial Intelligence in Textiles.

Generally, comprehensive documents are needed to provide the research community with relevant details of any research direction. This study conducted the first descriptive bibliometric analysis to examine the most influential journals, institutions, and countries in the field of artificial intelligence in textiles. Furthermore, bibliometric mapping analysis was also used to examine diverse research topics of artificial intelligence in textiles. VOSviewer was used to process 996 articles retrieved from Web of Science—Core Collection from 2007 to 2020. The results show that China and the United States have the largest number of publications, while Donghua University and Jiangnan University have the highest output. These three themes have also appeared in textile artificial intelligence publications and played a significant role in the textile structure, textile inspection, and textile clothing production. The authors believe that this research will unfold new research domains for researchers in computer science, electronics, material science, imaging science, and optics and will benefit academic and industrial circles.

Enhancing mechanical and antibacterial performances of organic cotton materials with greenly synthesized colored silver nanoparticles

PurposeFunctionalization of organic cotton fabrics (OCFs) by in situ deposition of chitosan reduced-stabilized silver nanoparticles (AgNPs). No other toxic chemicals used to warrant an ecofriendly synthesis protocol. Human toxicity of silver systematically avoided to use as textile clothing. Primary colors (nearly-red, yellow and blue) were imparted on OCFs via localized surface plasmon resonance (LSPR) of AgNPs. Decent mechanical properties and laundering durability in terms of antibacterial/fastness test improved mechanical properties.Design/methodology/approachSilver nanoparticles can be synthesized by using silver nitrate along with commercially available chitosan. Due to the surface LSPR property of silver nanoparticles, it exhibits versatile colors depending on the synthesizing procedures. The coloration occurs due to the electrostatic interaction between the AgNPs and chitosan-treated OCF. The nanotreated fabrics provide excellent mechanical properties with improved antibacterial effects.FindingsX-ray fluorescence (XRF) analysis quantifies the developed materials in the substrates. Scanning electron microscopy (SEM) characterization indicates the appearance and morphologies of silver nanoparticles into the fabric surface after the coloration process. It proves that the treated cotton knit fabric exhibits the LSPR optical features of AgNPs. The antibacterial and mechanical properties confirm the improved functionality of products.Originality/valueImproved mechanical properties, antibacterial performances and coloration effects on organic cotton substrates in terms of chitosan-mediated nanosilver are not yet studied.

ISLAMIC ECONOMIC PRINCIPLES AND PRODUCTION ACTIVITIES THOUGHT OF IMAM AL-GHAZALI FROM HIS BOOK “IHYA’ ULUM AL-DIN”

This article describes the relevance of Imam Al Ghazali's thoughts to the context of the current consumption needs of Islam. The presence of Islam with its beliefs and principles in it, this belief is built on the foundation of God with the consequences of the birth of the principles of Nubuwwah, Khuluqiyyah, Justice, Insaniah, Help and Cooperation. All of these principles in reality affect economic activity, both distribution, production and consumption. Imam AL Ghazali as one of the Islamic economic thinkers participated in providing related ideas about Production in Islam that presents Allah swt in every production activity. On the other hand, according to Imam AL Ghazali, the factors of production include land, labor, technology, production management, technology and raw materials. Furthermore, regarding the classification of production, namely a discussion of the types of production, namely 1) basic industry, textiles for clothing, construction for housing, and state activities, 2) supporting industries (steel industry development, and forest resources), 3) complementary activities related to milling and burning of agricultural products. Finally, regarding the stages of production, Al Ghazali acknowledged that there are stages of production that require division of labor, coordination and cooperation. Regarding its relevance to production activities according to Imam Al Ghazali's view. Many phenomena are related to Imam Al Ghazali's thinking, such as the increase in UMKMs which are factors supporting the success of economic activities including production activities, but some phenomena that are not in line with Imam Al Ghazali's thinking are producers who do not heed the values ​​of virtue and justice in their production activities.

Intelligent polarization-sensitive holographic flow-cytometer: Towards specificity in classifying natural and microplastic fibers

Micron size fiber fragments (MFFs), both natural and synthetic, are ubiquitous in our life, especially in textile clothes, being necessary in modern society. In the Earth's aquatic ecosystem, microplastic fibers account for ~91% of microplastic pollution, thus deserving notable attention as one of the most alarming ecological problems. Accurate automatic identification of MFFs discharges in specific upstream locations is highly demanded. Computational microscopy based on Digital Holography (DH) and machine learning has been demonstrated to identify microplastics in respect to microalgae. However, DH is a non-specific optical tool, meaning it cannot distinguish different types of plastic materials. On the other hand, materials-specific assessments are pivotal to establish the environmental impact of different textile products and production processes. Spectroscopic assays can be employed to identify microplastics for their intrinsic specificity, although they are generally low-throughput and require large concentrations to enable effective measurements. Conversely, MFFs are usually finely dispersed within a water sample. Here we rely on a polarization-resolved holographic flow cytometer in a Lab-on-Chip (LoC) platform for analysing MFFs. We demonstrate that two important objectives can be achieved, i.e. adding material specificity through polarization analysis while operating in a microfluidic stream modality. Through a machine learning numerical pipeline, natural fibers (i.e. cotton and wool) can be clearly separated from synthetic microfilaments, namely PA6, PA6.6, PET, PP. Moreover, the proposed system can accurately distinguish between different polymers under investigation, thus fulfilling the specificity goal. We extract and select different features from amplitude, phase and birefringence maps retrieved from the digital holograms. These are shown to typify MFFs without the need for sample pre-treatment or large concentrations. The simplicity of the DH method for identifying MFFs in LoC-based flow cytometers could promote the use of polarization resolved field-portable analysis systems suitable for studying pollution caused by washing processes of synthetic textiles.

Clothing Nanometer Antimite and Antibacterial Based on Deep Learning Technology

With the improvement of people’s living standards, the living conditions and environment of residents have changed, and there are also more and more electrical appliances such as air conditioners, air purifiers, and humidifiers. People’s living environment and office environment are increasingly closed, which makes it easy for mites to breed and multiply. The changes in the living environment have made many people more and more aware of health and safety issues. Under these conditions, it is mainly used in the field of biomedicine. In the high‐tech field, nanomaterials with antimite and antibacterial properties have entered the field of clothing and home textiles. With the advancement and development of science and technology, nanomaterial technology tends to mature and becomes a major player in the field of clothing. However, nanosilver alone has some defects, such as large nanoparticles, poor antimite and antibacterial effect, high cost, easy oxidation, and strong toxicity. Therefore, the preparation of new nanocomposite materials is of great significance for the application of nanotechnology to the field of clothing. In this paper, the antimite and antibacterial properties of different nanomaterials on clothing were explored through deep learning technology combined with experimental methods. According to the experiments in this paper, the Ag/TiO2(ATA) nanocomposites have obvious antibacterial and acarid effects, and the antibacterial and acarid rates are close to 100% under the conditions of visible light and dark light.

Smart E-Textile Systems: A Review for Healthcare Applications

E-textiles is a new hybrid field developed with the help of the integration of electronic components into our daily usage of textile products. These wearable e-textiles provide user-defined applications as well as normal textile clothing. The medical field is one of the major leading areas where these new hybrid products are being implemented, and relatively mature products can be observed in the laboratory as well as in commercial markets. These products are developed for continuous patient monitoring in large-scale hospital centers as well as for customized patient requirements. Meanwhile, these products are also being used for complex medical treatments and the replacement of conventional methods. This review manuscript contains a basic overview of e-textile systems, their components, applications, and usages in the field of medical innovations. E-textile systems, integrated into customized products for medical needs, are discussed with their proposed properties and limitations. Finally, some recommendations to enhance the e-textile system’s integration into the medical field are argued.

New Method for Determining the Machine-Hand Welding Times Using Ultrasonic Welding Machines with Rotary Sonotrode

The paper presents a new method for determining the machine-hand welding times of synthetic polymer materials using ultrasonic welding machines with rotary sonotrode. The method is based on the claims and observations of W. Möller intended for the clothing industry in the 1990s, according to which there is a spontaneous drop in sewing speed when strongly curved seams are joined, which is due to the possibility of human reactions. The method for determining machine-hand sewing times of curved seams was well accepted in garment production processes. It is used to standardize production time. Using ultrasonic welding machines with rotary sonotrode, the problem of determining the time of ultrasonic joining of curved seams on clothing or technical textiles remained unsolved. That is why is completely new and original model was created, which combines eight technical parameters of ultrasonic welds, eight technological parameters of the production process and seven ergonomic parameters depending on the psychophysical conditions of the workers. The systematic development of the mathematical relationship of all 23 parameters mentioned and the corresponding mathematical expressions for determining and calculating these parameters are presented. These results were also verified by experimental measurements, which show a favourable correlation between the calculated and measured machine hand times. The relationships between the recommended welding speeds, the critical radii of curvature and the number of reactions required according to Möller and the new model are also presented. An analysis of the success in the application of Möller’s and the new model was also performed.

Textile heritage motifs to decorative furniture surfaces. Transpose process and analysis

Contemporary digital technologies offer the possibility to preserve the ancestral motifs and symbols and pass them on to the next generations. These databases can be used not only for traditional crafts and heritage conservation, but also for modern applications, including furniture, making the national/universal heritage to be worldwide known and appreciated. This paper presents a method to valorise in furniture surface decoration two symbolic traditional motifs collected from textile clothes originated from a central region of Transylvania. For this purpose a digital reproduction software, a computer-aided design and a simulation software of the Computerized Numerical Control (CNC) router milling process were used, investigating two methods of processing wood materials with two types of tools. Based on the theoretical approach, an experimental plan was set based on Taguchi full factorial design of experiment for four factors and two levels, including two digitized traditional motifs, two types of furniture raw materials (oak wood and medium density fibreboard-MDF), two tools angled at 90° and 120° and two processing methods (Engrave and V-Carve). The replicates of the traditional motifs processed by CNC router on furniture materials were afterwards visually analysed from the aesthetic point of view and then were subjected to an ImageJ analysis for objective calculation of the processed area for all variants. The analysis was combined with the processing time indicated by the simulation software for each variant. The results showed that transposing the motifs on surfaces, depends not only on the tool characterstics, but also on the material. Processing the motifs on MDF was more accurate than on wood. From all variants, engraving with the 120° tool seemed the best compromise between motif appearance and processing time.

Research Properties Of Cotton Knitted Fabrics Using Lycra

In the global production of knitwear, the leading place is taken by the issues of expanding the range of competitive products, the production of highly environmentally friendly goods from natural raw materials, the development of new types of raw materials and finishes, improving the quality of knitwear, and the development of resource-saving technologies. In developed countries "... special attention is paid to saturating the domestic market with products of its own production by 75-85% due to the textile industry and clothing production". Based on this, the development of a technology for the production of knitted products with high hygienic properties, increased dimensional stability and reduced cost through the effective use of raw materials and changes in the structure of weaves are important tasks.

Design Artificial Intelligence Fiber Testing System Aided by Computer

With the progress and development of society, in people’s wardrobes, textile clothing belongs to a category of clothing that is used in people’s daily life, and textiles for household goods also occupy most of the market. And with the increasing diversification of textile raw materials, it is more and more important to strengthen the detection of fiber content in textiles. There are many methods for determining fiber content in textiles. In fact, in the fiber inspection process, the high-speed camera can not recognize the image of the fiber surface. Computer-aided image processing and deep learning algorithms are used to realize computer-aided recognition through a series of inspection processes. Computer-aided technology has strong interaction and high accuracy, while artificial intelligence fiber testing technology has great responsibility for product manufacturing. Product model and simulation have an impact on product manufacturing quality and work efficiency. The artificial intelligence fiber testing system and computer-aided technology must be combined to improve the quality of the fiber purchased or sold, so as to obtain higher income for enterprises and provide better services for people. How to use computer-aided technology to serve the design of artificial intelligence fiber testing system to improve the user experience of the system is the purpose of this thesis. This article will discuss the general situation of artificial intelligence fiber testing system, the analysis of computer-aided technology in artificial intelligence fiber testing system, and the application analysis of computer-aided technology in artificial intelligence fiber testing system.

Research on the evolution and driving forces of the manufacturing industry during the "13th five-year plan" period in Jiangsu province of China based on natural language processing.

The development of China's manufacturing industry has received global attention. However, research on the distribution pattern, changes, and driving forces of the manufacturing industry has been limited by the accessibility of data. This study proposes a method for classifying based on natural language processing. A case study was conducted employing this method, hotspot detection and driving force analysis, wherein the driving forces industrial development during the "13th Five-Year plan" period in Jiangsu province were determined. The main conclusions of the empirical case study are as follows. 1) Through the acquisition of Amap's point-of-interest (POI, a special point location that commonly used in modern automotive navigation systems.) data, an industry type classification algorithm based on the natural language processing of POI names is proposed, with Jiangsu Province serving as an example. The empirical test shows that the accuracy was 95%, and the kappa coefficient was 0.872. 2) The seven types of manufacturing industries including the pulp and paper (PP) industry, metallurgical chemical (MC) industry, pharmaceutical manufacturing (PM) industry, machinery and electronics (ME) industry, wood furniture (WF) industry, textile clothing (TC) industry, and agricultural and food product processing (AF) industry are drawn through a 1 km× 1km projection grid. The evolution map of the spatial pattern and the density field hotspots are also drawn. 3) After analyzing the driving forces of the changes in the number of manufacturing industries mentioned above, we found that manufacturing base, distance from town, population, GDP per capita, distance from the railway station were the significant driving factors of changes in the manufacturing industries mentioned above. The results of this research can help guide the development of manufacturing industries, maximize the advantages of regional factors and conditions, and provide insight into how the spatial layout of the manufacturing industry could be optimized.