Household Appliance Industry Research Articles

Cultivation of microalgae Chlorella vulgaris, Monoraphidium sp and Scenedesmus obliquus in wastewater from the household appliance industry for bioremediation and biofuel production.

Microalgae Chlorella vulgaris, Scenedesmus obliquus, and Monoraphidium sp were cultivated in effluent from the household appliance industry as an alternative medium for bioremediation due to the high variability of chemical and biological substances in wastewater. The experiments were carried out using biological effluent (BE), chemical effluent (CE), and a combination of the two (MIX). The results showed a maximum biomass yield of 1056mg/L (± 0.216) in the BE cultivation of the microalga Scenedesmus obliquus, 969mg/L (± 0.20) in the BE of the microalga Monoraphidium sp. and 468mg/L (± 0.46) in the CE of Chlorella vulgaris. In addition, they showed removal (100%) in the CE and MIX for cultivation with Chlorella vulgaris and 100% BE and 75% MIX with Monoraphidium sp. For the (75.3%, 99% e 97.9%) in the cultures with C. vulgaris BE, CE, and MIX respectively, with Monoraphidium sp. 58% in BE and 42% in CE and MIX. With S. obliquus, 100% removal was observed in all 3 treatments. Metal removal was also observed. The C. vulgaris culture showed lipid contents of 16%, 12%, and 17% for BE, CE, and MIX, respectively. For Monoraphidium sp., 14.5% for BE, 16% for CE, and 14% for MIX. In the culture of S. obliquus, 17%, 15.5%, and 16.5% for BE, CE, and MIX, respectively.

Research on the influence of the digital economy on the development of China’s small household appliance industry and enhancement countermeasures

Purpose The implementation of the digital economy has had a considerable influence on the manufacturing industry, and this paper aims to address the important issues of how to capture the opportunities presented by digital innovation and promote the transformation and upgrading of the manufacturing industry, as well as the improvement of quality and efficiency. Design/methodology/approach Using panel data from 30 Chinese provinces and cities between 2010 and 2021, this study establishes the panel vector autoregression (PVAR) model and uses impulse response function analysis to evaluate the influence of the digital economy on the high-quality transformation and upgrading of China's small home appliance industry across five dimensions under the digital economy. Findings The development of digital infrastructure has not demonstrated a noteworthy capacity for advancing the transformation and upgrading of the small home appliance industry. Furthermore, digital industrialization has exerted a minimal restraining influence on this process. Nevertheless, digital governance has consistently exhibited a substantial impact on facilitating the transformation and upgrading of the small home appliance industry. While both industrial digitization and digital innovation hold significant potential for promoting the transformation and upgrading of the small home appliance industry, their sustainability remains limited. Practical implications The organization should logically join independent innovation and open innovation, construct an industrial ecosystem for the profound convergence of the digital economy and compact household appliances, use digital-wise science and technology to empower the establishment of brand effects, strengthen the portrayal of the digital standard framework for the intelligent compact household appliance industry, advance the development of a public stage for computerized administrations in the compact household appliance industry and develop a strategy ecosystem for computerized assets in the compact household appliance industry. Originality/value This study offers systematic evidence of the relationship between the digital economy and the development of the small home appliance industry. The results of this research contribute to the literature on the impact of the digital economy on the manufacturing sector and provide a logical explanation for the transformation and upgrading of the small home appliance industry within the context of the digital economy.

QUALITY ASPECTS IN THE WELDING OF SOME ELEMENTS OF MICRO-MOTORS IN AUTOMOTIVE AND HOUSEHOLD APPLIANCES INDUSTRY

In the automotive and household appliances industry, there is a permanent concern to find fast and efficient welding methods and technologies, pressure welding being one of the usual joining methods, due to the minimum qualification requirements, cheap equipment, ease of control, high speed of operation, repeatability and suitability for automation or robotization for inclusion in high production assembly lines. In the paper, quality aspects are described in spot welding of some elements of micro-motors in the automotive industry and household appliances by using tools that allow highlighting the fact that the process is controllable from a statistical point of view, concerning two micro-motors from the production flow.

Case Study of Enterprise Value Assessment

Along with the gradual advancement of the deepening reform of our country's socialist market economy and the further optimization of resource allocation, the restructuring, investment, acquisition and merger of enterprises are becoming increasingly frequent economic activities. The evaluation of the value of the target enterprise is one of the important links. This paper takes the small household appliance industry as the starting point, takes the small B Electric Appliance Co., Ltd. as an example, and uses the discounted free cash flow model in the income method to estimate its market value. It can reflect that this method is conducive to providing detailed and solid basis for value assessment relatively comprehensively from the aspects of enterprise profitability, profit quality, future profit sustainability, expected rate of return of the industry in which it is located, and time cost of funds, etc., and is widely used in the capital financial market and market information disclosure requirements.

A study on the characteristics and geometric optimization of a cyclone filter

Cyclone separator without filter is a common device used for separating solid–liquid/gas–solid/gas–liquid mixtures, which is widely used in chemical and household appliance industries. It has the advantages of high separation efficiency and low susceptibility to clogging. However, its separation efficiency cannot reach 100%, and some particles that enter the separator are not separated and will cause secondary pollution to downstream fluids. Combining the cyclone separator with a mesh filter to form a cyclone filter can achieve the complementary advantages of both, namely, high filtration efficiency and low susceptibility to clogging. For cyclone filters, particle shape has a significant impact on filter clogging, but there are few reports on this issue in the literature. In this paper, a new type of cyclone filter is proposed, and experimental and simulation methods are used to study its resistance characteristics. It is found that compared with the case of no filter, the flow resistance of the cyclone filter is significantly reduced, and the reason for the reduction in resistance is analyzed based on flow field analysis. The movement trajectory of flat and spherical particles in the cyclone filter and the problem of particle clogging on the filter are then studied. It is found that flat particles are more likely to cause clogging on the filter, and the reason for the clogging of the filter in the inlet area of the cyclone filter and the mechanism by which flat particles are more likely to clog the filter in the inlet area are analyzed based on the flow field and particle force in the separator. Finally, the inlet profile of the cyclone filter is optimized, and the changes in the inlet flow field and particle movement trajectory before and after optimization are compared. The problem of flat particle clogging on the filter is ultimately solved.

Peran Purchasing Departemen Dalam Pengadaan Barang Pada PT. Jawa Metalindo Prima Industri

PT. Jawa Metalindo Prima Industri was founded in 1985 by Mr. Suryanto Wibowo. Initially, the company focused on the production of small metal components and spare parts for the automotive industry. With strong determination and a vision to become a major player in the industry, PT. Jawa Metalindo Prima Industri started its journey with limited but quality production facilities. In the first few years, the company experienced steady growth. With increasing demand for metal products, PT. Jawa Metalindo Prima Industri is developing production capacity and improving the quality of its products. This is supported by investment in technology and modern production machines which enable the company to meet higher quality standards and increase production efficiency. In 1995, PT. Jawa Metalindo Prima Industri is diversifying its business by expanding its product range. The company began producing metal components for the electronics and household appliance industries. This step helps the company to diversify sources of income and reduce dependence on one particular market segment. At the beginning of the 21st century, PT. Jawa Metalindo Prima Industri is carrying out significant expansion. The company acquires several small companies in the same industry to expand its market share and gain competitive advantage. Apart from that, PT. Jawa Metalindo Prima Industri has also invested in improving production facilities, research and product development, as well as developing a qualified workforce. In recent years, PT. Jawa Metalindo Prima Industri continues to show positive growth. The company has succeeded in expanding its distribution network to export markets, so that its products can be sold to various countries throughout the world

A design method of volute profile of multi-blade centrifugal fan based on DRBF model

The forward-curved multi-blade centrifugal fan is widely used in the ventilation and household appliance industries with limited space due to its small size factor, high pressure coefficient, and large outlet flow coefficient. Conventional centrifugal fan structural designs rely on empirical data, resulting in drawbacks during usage such as low airflow velocity, high noise levels, and high energy consumption. In order to optimize fan structure, enhance aerodynamic performance, and seek new, effective approaches for energy efficiency and emissions reduction, this paper focuses on a combined design method that integrates scroll line design with aerodynamic performance and noise control. The goal is to propose a noise prediction and analysis method for multi-blade centrifugal fans, addressing the design contradiction between optimal fan functionality and minimal noise within limited design dimensions. The dynamic radial basis function method is introduced to investigate the geometric parameters of the scroll line, utilizing coherence analysis to identify the reasons for insufficient aerodynamic performance and noise reduction measures. Through the research, it is found that unreasonable design leads to a large turbulent vortex region within the blade passage and internal flow field, particularly involving circulation and backflow, which significantly reduces the fan's aerodynamic performance and operational efficiency. The design incorporates a composite scroll with a logarithmic spiral and circular arc integrated into one, and algorithm-based optimization of the scroll tongue, facilitating the transition of turbulence at the scroll outlet and the gap between the scroll tongue and impeller. Numerical results show an increase in airflow of 3.04 m3/min and a noise reduction of 3.79%. This indicates that the composite scroll design with a logarithmic spiral plays a dominant role in accelerating the aerodynamic performance of the scroll and reducing noise radiation.

Application of DCF Model in Enterprise Valuation

The home appliances industry is an important manufacturing industry that reflects the consumption level of Chinese residents. Midea Group is the leading enterprise in the household appliances industry and one of the enterprises with high brand value in China. For Midea Group in the home appliance industry, this paper will apply the DCF model for enterprise valuation. This paper mainly uses the financial information of Midea Group and the discounted cash flow model for enterprise valuation. Then, the advantages and disadvantages of the DCF valuation model are analyzed through practical cases, and the overall valuation process is summarized. The company value of Media that valued by the DCF model is 384,922.89 million RMB. The analysis results show that the DCF model can better reflect the status quo of enterprise value, but in the process of DCF valuation model, it is not easy to predict the accurate amount of future cash flow. It also has limitations in industry and product selection, and its estimation of the risk rate is not accurate enough.

Analysis of the Synergies Caused by M&A: Evidence from Midea's Acquisition of Little Swan

Since the reform and opening-up, China's household appliance industry has become quite competitive in the world. The penetration rate of domestic household appliances is relatively high, the market has turned to the stock market, the industry has entered a relatively mature stage, and the industry concentration has increased significantly. In the first half of 2018, Haier Exhibition, China's leading washing machine brand, had a market share of 30.50%, Little Swan accounted for 17.20%, and Midea Group accounted for 9.30%. In order to enhance its overall competitiveness, Midea Group merged with Little Swan in 2018 by means of A-share issuance for share exchange absorption and partial offer. This article will first explain the research background, i.e., the competition in the home appliance industry in 2018. This is followed by a brief introduction to the development status of the acquirer, Midea Group, and the target Wuxi Little Swan before the acquisition. Afterwards, it focused on the analysis and evaluation of the synergy effect after the acquisition of Little Swan from Midea Group. It is found that Midea did improve the corporate value of Midea Group, and its development methods were used for reference by relevant enterprises. Midea Group and Little Swan are both listed companies, and this merger is the first private enterprise to merge with an A+B share listed company in China. These results shed light on guiding further exploration of mergers and acquisitions in the same industry.

Comparative Analysis of Investment Value in Chinese Household Appliance Industry

As an important part of the consumption field, household appliances play a key role in China's economic growth. After 30 years of development, China's home appliance industry has made remarkable achievements and occupies an important position in the world's home appliance industry. It has become the largest manufacturing base and consumer market of home appliances in the world, leading international counterparts in cost and quality, with obvious advantages. There is no doubt that the value of an investment in China's home appliance industry is also growing. Therefore, this paper adopts appropriate evaluation methods to study the investment value of three major home appliance companies in China -- Haier Zhijia, Gree Electric, and Changhong Meiling, so that the majority of investors can realize their investment value, and at the same time, it also contributes its own strength to guide investors to make rational value investment and promote the healthy development of Chinese capital market. This paper compares and analyzes their investment value from three aspects: risk ratio, profitability ratio, and market value ratio. Based on the analysis, the conclusion of this paper is that these three companies are basically excellent, have broad investment value, and Haier Zhijia has the most development prospects.

Present Situation and Risk of SC Management in Household Appliance Enterprises

A spare part is gradually produced and processed to form the final product for sale, the process of selling to consumers through online and offline means is called the SC. Its surface meaning is from merchants to consumers and from goods to income. As a daily necessity, household appliances have become one of indispensable elements in our life. With the development and innovation of information technology, there are numerous ways to buy home appliances. At present, the rapid development of science and technology has gradually promoted economic integration and economic globalization, and the economic competition of enterprises has gradually tended to SC competition. Due to the development of manufacturing, procurement and division of labor, the complex structure of the SC structure is increasing. In the meantime, the global impact of the epidemic in 2020 makes the SC of most household appliance enterprises face the risk of stagnation. In this social and economic context, information transmission risk and logistics operation risk have become the main reasons for the occurrence of enterprise financial risk. In order to survive, enterprises must seek new management techniques and methods to deal with the occurrence of risks. This paper will take the household appliance industry as an example, under the trend of SC localization, through systematic theoretical research to summarize and analyze the common supply risk factors and countermeasures of home appliance enterprises.

How supplier concentration impacts a buyer firm's R&D intensity: testing a mediation and moderation model

PurposeThe purpose of this paper is to investigate how supplier concentration influences a buyer firm's R&D intensity. This study proposes a mediation and moderation model to test this relationship in the Chinese household appliance industry. Specifically, this study tests the mediation effect of operational slack on the relationship between supplier concentration and R&D intensity and the moderation effect of financial constraints on this relationship.Design/methodology/approachDrawing upon real options theory and resource dependence theory, the proposed relationships are tested with the Chinese household appliance market using financial data from listed companies over a ten-year span from 2012 to 2021. Fixed effects (within-group) panel regression models are used to test the hypotheses. In addition, the authors use the bias-corrected bootstrap method to test the mediation effect.FindingsThe authors find that supplier concentration negatively affects a buyer firm's R&D intensity and that internal operational slack mediates this relationship. Interestingly, financial constraints from the external financing organization weaken the negative relationship between the buyer firm's supplier concentration and R&D intensity.Originality/valueBased on the argument of real options theory and resource dependence theory, this study provides novel insights into the issue of how concentration on several major suppliers may reduce buyer firms' R&D intensity. First, this study introduces operational slack as a form of internal uncertainty that mediates the supplier concentration–R&D intensity relationship. Second, this study suggests that the effect of supplier concentration on R&D intensity is contingent upon firms' financial constraints from external financial organizations, disclosing a synergetic interactive effect of supplier concentration and financial constraints on firms' R&D activities. Third, this study is conducted in the unique institutional context of China, providing meaningful insights into the relationship between supplier concentration and R&D intensity.

Garment ageing in a laundry care process under household‐like conditions

AbstractThis study reflects typical consumer textile washing behaviour while taking into account existing standards in the household appliance and garment industries. Two garments were washed repeatedly with artificial dirt and detergent 30 times. The collected washing water was separated using fractional filtration. Textile physical tests were used to follow property changes of the garments, the microplastic release is determined using thermoextraction/desorbtion–gas chromatography/mass spectrometry and the total organic carbon was measured as a sum parameter for the organic bonded carbon. This article shows the importance of a reality‐based approach when investigating microplastics of textile origin in the laundry care process. Deposits of detergent and dirt on the textiles were detected. The total mass of sieve residues was much higher than the release of synthetic polymers. The cotton content of the garments causes a much higher fibre release than synthetic fibres. Both will lead to false results by purely gravimetric analysis because nonpolymer fibres will be included microplastic mass. The results cannot be generalised only by the main polymer type, knowledge of the textile construction must be included for final evaluation.

Identifying Improvement Opportunities in Product Design for Reducing Energy Consumption

The paper is concerned with predicting energy consumption in the production and product usage stages and searching for possible changes in product design to reduce energy consumption. The prediction of energy consumption uses parametric models based on regression analysis and artificial neural networks. In turn, simulations related to the identification of improvement opportunities for reducing energy consumption are performed using a constraint programming technique. The results indicate that the use of artificial neural networks improves the quality of an estimation model. Moreover, constraint programming enables the identification of all possible solutions to a constraint satisfaction problem, if there are any. These solutions support R&D specialists in identifying possibilities for reducing energy consumption through changes in product specifications. The proposed approach is dedicated to products related to high-cost energy use, which can be manufactured, for example, by companies belonging to the household appliance industry.

Analysis of coarse stripes of alloyed hot-dip galvanized steel sheets

Zinc iron alloy hot-dip galvanized steel sheet is widely used in the automobile and household appliance industry because of its good weldability, coating property, and corrosion resistance. In the production of alloyed hot-dip galvanized steel sheets, stripe defects are often found on the surface of the strip, which affects the diffusion reaction of iron and zinc and causes the defects to be amplified. Coarse stripes are one of the main ones. In this paper, the coarse stripe defect on the surface of an alloyed hot-dip galvanized steel plate was studied, by means of the Scanning Electron Microscope and Energy Spectrum, combined with the verification of galvanizing production. The results showed that the morphology of the coarse stripes defect area on the surface of the alloyed hot-dip galvanized sheet exhibited concave-convex features, and the average iron content was 1.41% lower, compared with the defect-free area, Indicating that the streak defect region was insufficiently alloyed. It is presumed that there is oxide in the region of the streak defect. By adopting the cleaning zone and adjusting the atmosphere in the furnace, the incidence of defects was reduced by 76%, and the quality of the slab was significantly improved.

Product Innovation and Design Strategies for 5G Technology in China’s Home Appliance Companies

With the continuous evolution of mobile communication systems, 5G technology has become a key driver for a smart home appliance ecosystem. Fifth-generation technology may create opportunities and threats for the home appliance industry in the stock market, and so companies that do not actively engage in product innovation activities will eventually be eliminated from the market because their products are not on trend. This study investigates Chinese household appliance industry firms to identify their innovation strategies, applied to cope with global competition and gain a competitive advantage, and explores the correlation and operation mode between innovation strategies and design strategies. For this study, we administered a questionnaire to analyze three innovation clusters for Chinese household appliance firms. Interviews were conducted to further understand the design strategies and priorities of Chinese home appliance companies in response to 5G technology, to explore the relationship between innovation strategies and product design strategies, and to provide a reference for the product design strategies of home appliance companies in response to global competition.

Inventive redesign for automatic assembly in the household appliances industry

PurposeIn the redesign process of assembly components that need adaptation to robotic assembly, designers can find support from structured methodologies for innovation, such as the theory of inventive problem solving (TRIZ). This paper aims to illustrate the authors’ methodology for redesigning gas hobs components for adaptation to robotic assembly.Design/methodology/approachA designer approaching a redesign task of an assembly component of any kind for adaptation to robotic assembly must consider, first of all, the features and limitations of existing robotic assembly systems; the generation of new design ideas that best fit the requirements may result to be a very challenging task. Here, the TRIZ methodology has proven useful for generating design ideas and finding the best solution.FindingsThe authors’ methodology approaches the challenges of redesign tasks for robotic assembly adaptation, which exploits knowledge of automatic and robotic assembly systems and the TRIZ method for innovation; it has proven useful in the redesign, checks and prototyping of gas hobs components.Originality/valueThis paper shows how the TRIZ methodology can be integrated into the redesign process and its impact on an industrial environment. The work’s main value is to provide a set of steps to help the designers change their design components approach that is necessary but not still implemented to optimize the use of the automation.

A dynamic large-scale multiple attribute group decision-making method with probabilistic linguistic term sets based on trust relationship and opinion correlation

Dynamic large-scale multiple attribute group decision making (DLMAGDM) is ubiquitous in many areas of the real world. It is composed of large numbers of decision makers, several continuous periods, alternative set and attribute set changed with time. Given the characteristics implicited in decision-making elements and the advantages of probabilistic linguistic term sets (PLTSs) in modelling uncertainty and complexity of decision makers’ subjective opinions, this paper constructs a probabilistic linguistic DLMAGDM method. First of all, a dynamic weight determination model based on trust relationships and evidential conflicts between decision makers is proposed to obtain current dynamic weights of decision makers. Then, a comprehensive hierarchical clustering method that divides large numbers of decision makers into several subgroups is constructed based on three clustering constrains. Moreover, some probabilistic linguistic extended evidential power aggregation operators are proposed to aggregate PLTSs. These operators can appropriately handle the extreme PLTSs and fully consider the role of incomplete probabilistic distributions in PLTSs. In addition, a dynamic decision-making method based on PROMETHEE is developed to determine the final priority order of alternatives according to preferences between alternatives over several periods. Lastly, a case study for supply chain finance risk assessment for several firms in Chinese household appliance industry is utilized to illustrate the practicality and effectiveness of the probabilistic linguistic DLMAGDM method. Furthermore, the comparative analysis with some other existing methods and the sensitivity analysis are made to verify its advantages.

Research on the Influence of COVID-19 on the Fluctuation of China Household Electrical Appliances’ Index in the Context of Economic Globalization

In order to deal effectively with the impact of the COVID-19 on China’s domestic appliance industry in the context of economic globalization, by analyzing the upstream copper futures index（CFI）and the downstream household appliance Futures Price Index （HAFPI）from January, 2020 to October 2021, the degree of response to the COVID-19, to consider how to steadily promote the high quality development of China’s domestic appliance industry. A new COVID-19 public opinion index（POI）was constructed, which was used as the proxy variable of the COVID-19 situation, and the VAR model was established based on the CFI and HAFPI. These COVID-19 in the home appliances industry chain at different points in the product price refers to the large fluctuations, each link price fluctuations are different. The price fluctuation of the upstream raw material link is the biggest, and the price index of the downstream consumption environment fluctuates little. The general impact of COVID-19 on the production link of China’s household appliances industry is great, but the impact on the consumption link is not obvious, mainly because the production enterprises bear the increase of the upstream raw material cost, which leads to the decrease of their profits. In view of the problems existing in each link of household electrical appliances industry chain under the epidemic situation, this paper puts forward some suggestions on strengthening the prevention and control of epidemic disease, industry support, Futures lock-in of raw material prices and the construction of Logistics System.

Optimization effects in the new energy, medical and home appliance industries of China’s A-Share Market

Portfolio construction is increasingly prevalent in the business field and is becoming a popular concern in scientific research today. This study compares optimization effects in the renewable energy, pharmaceutical and home appliance industries of China’s A-Share Market. Mean-variance model and Sharpe ratio are implemented to ensure the expected returns and to reduce risks for portfolios at the same time. Under the assumption that there is no limitation on the short selling, it is found that market portfolio can produce higher risk-adjusted returns than the benchmark stocks in each industry. Furthermore, the optimization effects in the pharmaceutical industry were more significant than those in the renewable energy industry but less considerable than those in the household appliance industries. The main reason may be that the diversification and leverage effects perform differently in different industries. In addition, the methodologies and findings of the paper can help investors understand the optimization benefits more deeply and guide their construction of the market portfolios.