Furniture Manufacturing Industry Research Articles

A Bayesian Best–Worst approach for assessing the critical success factors in sustainable lean manufacturing

Over the last few decades, industries in emerging economies have been encouraged to embrace sustainable lean manufacturing (SLM) practices to lower operational expenses, eliminate wastes, conserve resources, improve customer satisfaction, and focus on the economic, environmental, and social aspects of sustainability to maximize productivity. So far, no study has explored the critical success factors (CSFs) facilitating the furniture manufacturing industry’s embrace of SLM. This study investigated the CSFs for implementing SLM in the furniture manufacturing industry of an emerging economy like Bangladesh. First, with the help of a literature review and consultation with experts, a total of sixteen most significant CSFs for implementing SLM in the furniture industry was identified. Then, the identified CSFs were clustered into three criteria groups or clusters — organizational and governmental cluster, supply chain, inventory, resource management cluster, and performance and technological cluster, based on the suggestions from the experts. Finally, we employed the Bayesian Best–Worst method (BWM) to evaluate the importance of these CSFs. This study shows that sustainable resource utilization and management reduces lead time and non-value-adding activities, adequate support from top management, and adoption of disruptive and emerging technologies are the top four crucial CSFs to implement SLM effectively in the furniture manufacturing industry. These findings can assist industry professionals and regulators in making efficient action plans to capture this competitive but booming market while ensuring a sustainable future for the next generation.

PERENCANAAN KEBUTUHAN BAHAN BAKU POT LESUNG DI UD. BANGKIT TIGA BERSAUDARA DENGAN MENGGUNAKAN METODE LOT SIZING

UD Bangkit Tiga Brothers is one of the SMEs engaged in the furniture manufacturing industry with antique products. The problem that occurs in this company is that it cannot estimate the exact number of orders for raw materials because the number of sales varies each period. So that every time you place an order, you sometimes exaggerate the product to be used as stock and save on ordering costs in the transportation section. At a certain time when there is a demand but the stock in the warehouse runs out so you have to reorder and excess orders for stock supplies. One solution that is applied to overcome this problem is the Lot Sizing method. By applying this method, the raw material procurement system can be identified by predicting the demand for raw materials and using the Lot Sizing method in order to obtain the optimum raw material procurement. Optimul forecasting results were obtained using the Exponential Smoothing method with a MAPE of 20.34%. The forecasting value obtained is 45.62 46 pcs in August 2022 with an accuracy value of 79.66% of the results then calculated using the Lot Sizing method. The results of the calculation of the Lot Sizing method obtained the optimal method, namely the Period Order Quantity (POQ) which is Rp. 58.130.923,-. The resulting difference with the value of the company is Rp. 4,217,240, - or 6.76%. From the figures obtained, it results in cost savings that are very profitable for the company.

Key supply chain strategies for post-COVID-19 recovery: evidence from an Indian smart furniture industry

PurposeSmart furniture is an essential part of research that has been designed to best complement easy and safe human interaction. The purpose of smart furniture is to save the space of the house and make the products unique, awesome and safe, functional, strong and also make it works better so the people can live better with it. This research aims to explore the key supply chain strategies implemented by the Indian smart furniture industry to reduce the impact of a post-COVID-19 pandemic.Design/methodology/approachThis work utilized a case study and conducted semi-structured interviews with the top leadership of the smart furniture manufacturing industry to explore key supply chain strategies to reduce the influence of the post-COVID-19 pandemic. Additionally, key supply chain strategies have been analyzed using a multi-criteria decision-making technique known as grey relational analysis (GRA) to determine their ranking significance in the smart furniture industry.FindingsThe results of this study discovered that “Inventory-Categorization” is essential in ensuring business continuity during the COVID-19 pandemic and helps reduce the amount of stock they have on hand. It enhanced the opportunity for employees to properly focus on their work and an opportunity for better work-life balance. The results of the study can also help supply chain stakeholders in their establishment of critical strategies.Research limitations/implicationsThe implications of this research work help the Indian furniture industry to make supply chain investment decisions that benefit the organization to sustain itself.Originality/valueThis is the first study to explore key supply chain strategies for the post-COVID-19 era. This work will assist managers and practitioners in helping the organization decide which supply chain strategies are more critical to the betterment of the organization.

Exploring the emission reduction potential of industries: A source-processing-end coordinated model and its application

Many requirements have been proposed for pollution control in a legal, scientific and targeted way. At the critical stage of pollution prevention and control, refined management of industrial pollution is a way of achieving targeted pollution control. Focusing regional pollution reduction targets on industrial production processes with reduction emission potential is an effective way to achieve targeted control. We established a source-processing-end (S–P-E) coordinated model—SPECM—by collaboratively considering the whole-process of raw material-processing-end-of-pipe (EOP) chains and applied the model to the setting of medium- and long-term pollution control targets and selection of reduction options for various industries in Lanzhou, China. The results indicated that (1) chemical manufacturing-related industries are the key potential volatile organic compound (VOC) emission reduction industries in Lanzhou, accounting for approximately 89% of the total emission reduction potential; (2) metal furniture manufacturing and paper-making industries should strengthen processing optimization while also giving attention to material substitution; and (3) printing-related industries need collaborative control of their whole-process, especially material substitution enhancement. The SPECM method focuses on the reduction in industrial processes and proposes reduction options under different reduction targets. This new collaborative control method could facilitate the design of coordinated control schemes across industries under industrial emission reduction targets. Overall, our results could provide new ideas and guidance for the refined management of regional industrial pollution.

The Application of 3D Printing Technology in Furniture Design

With the gradual deepening of the combination of 3D printing technology and the furniture manufacturing industry, the production of 3D printed furniture has begun to transition from experimental single furniture production to small batch furniture production, which will profoundly affect the manufacturing mode change of the furniture manufacturing industry in the future. This paper conducts a detailed study on the complex molding links, product development links, parts production links, and product body forming links of 3D printing technology in the furniture manufacturing industry. The design and printing process can provide practical reference for the manufacture of furniture products.

PERANCANGAN SISTEM INFORMASI SCM PADA UD. MEBEL JAYA

Technology and information today are growing rapidly and have a major influence on human behavior and habits. Computers are very helpful and facilitate human work, effective and efficient computer work produces accurate information so that many companies use information technology to improve their quality in all aspects, namely to compete in the business world, therefore UD. Mebel Jaya needs to implement a Supply Chain Management Information System (Supply Chain Management) which aims to facilitate inventory management, starting from the process of ordering goods from suppliers, procurement of goods to managing goods to customers. UD.Mebel Jaya is a business engaged in the furniture manufacturing industry which focuses on the production of furniture / furniture such as tables, chairs, cabinets, and frames. The system is made using a web-based system design and uses supporting applications such as XAMPP and the Hypertext Preprocessor (PHP) programming language and DBMS (Database Management System) using MySQL, it is hoped that this application can help companies store all data that is still using a manual system, or not computerized system with the aim of maximizing performance and profit for the company, suppliers, including customers and can provide satisfaction to suppliers and companies so that carrying out business processes will be easy.

THE INFLUENCE OF COMPANY SIZE ON ITS INTERNATIONALIZATION CAPACITY: A COMPREHENSIVE VIEW ON PORTUGAL

In the competitive environment that companies operate today, there is a need to adopt internationalization strategies to enable consolidation in diversified markets. The internationalization process is part of a relevant strategy for companies, has several implications and is influenced by innumerable specific aspects, namely by the behavior of companies, by their culture and structure, as well as by their leadership, but it is on the organization structure that we find one of the most relevant features: the dimension (size) of companies. Based on a qualitative methodology, we interviewed managers of the furniture manufacturing industry. We concluded that companies value increase in size; nevertheless, for cultural reasons, they are still resistant to such an increase. For increasing their size, companies value several instruments, such as: strategic alliances/corporate cooperation; fusions and acquisitions; and risk capital interventions. This work is an eye opener about the need to educate and train entrepreneurs in the Portuguese industrial sector and to bring about an awareness of the benefits of formation, training, expansion and diversification in order to be able to compete on a global basis.

Investigation on panel material picking technology for furniture in automated raw material warehouses

The integrated development of the global economy has prompted the manufacturing industry of China to enter the era of intelligence, and manufacturing in the furniture manufacturing industry has gradually realized the transformation and upgrading from manual or semi-automation to automation and informatization. The traditional storage mode of receiving materials has been unable to coordinate and match the efficiency of its upstream supply and downstream processing. In order to coordinate production, reduce management costs, and achieve zero inventory, this paper integrates the common needs of the market, enterprises, actual production, and storage conditions. In addition, it designs a technical solution for the collection of sheet materials in furniture enterprises based on the environment foundation of automated three-dimensional warehouses. The research results show that the collation algorithm proposed in this study can reduce the amount of sheet material collated by 152 sheets, improve the pallet utilization rate by up to 21.6%, and increase the storage space utilization rate by up to 22.7%.

Empirical Analysis of Influence of Furniture Manufacturing Servitization on Industry Performance Based on Big Data

In the era of big data, the furniture manufacturing industry takes digitization and intelligence as its core, and its servitization degree is constantly improving. In this paper, based on input-output table data from major manufacturing countries throughout the world in the period 2000–2014, this study empirically analyzes the impact of servitization on the industrial performance and productivity of the furniture manufacturing industry and finds that servitization level of the global furniture industry is about 20%, showing small growth in the sample period. Developed countries are in the leading position in the process of servitization strategy, and the servitization level among countries is gradually converging. Furniture manufacturing industry does not show a servitization dilemma, and servitization has a positive impact on industry performance and total factor productivity.

Case Study of Furniture Manufacturing Companies

Purpose: This study encompasses four cases pertaining to furniture manufacturing industry in India. Manufacturing is essential for our nation and hence four companies are studied namely: Spacewood Pvt. Ltd, Choice Furntech LLP, Stanley Lifestyles Ltd, and VK Sofa Makers Pvt.Ltd. There are few similarities and associations with all four of these companies. This study also uncovers various aspects of minute details related to furniture pricing, customization, and unique selling proposition via segmentation/segments that they are operating in. The companies that are in study are basically seasoned and very strong fundamentally and operationally. Design/Methodology/Approach: Observations and interactions/interviews with employees of all the four companies along with online databases were studied for finding similarities and dissimilarities in certain key variables and bring out the best variables/ practices that could be replicated by others. Findings/ Results: This case study reviews the current situation of various customization processes through multiple variables in furniture manufacturing companies in India and the data is collected from interaction with employees, vendors, customers, company websites, scholarly literature, and internet sources for results that could have far reaching implications when compared to others abroad. Originality: It is a study to find commonality or similarity[s] among these four companies with reference to VK Sofa makers for any future entrepreneurs to have a sustainable/ implementable business model that can grow rapidly by customization and superior service quality. Type of Paper: Case Study based research analysis for knowing similarities among dissimilar companies of a same industry as well as to know the dissimilarities of similar nature companies in a given market space; hence the science and art of running these companies is the basis for this case study.

Application of Product Life Cycle Management Method in Furniture Modular Design

With the rapid development of informatization and network technology, it has become an inevitable trend to use informatization to drive industrialization, industrialization to promote informatization, and high-tech to improve China’s traditional manufacturing industry. In order to conform to the trend of furniture development, combined with the characteristics of China’s furniture manufacturing industry, this paper analyzes the sustainability of multifunctional furniture based on the whole life cycle of the product, and improves the sustainable utilization rate of multifunctional furniture at each stage of the life cycle, and then apply the modular concept for structural design. At the same time, the paper studies the modular design of imitation solid wood frame cabinet furniture. This paper proposes a method of producing and designing imitation solid wood frame cabinet furniture by using the cabinet module of panel furniture. This design method makes it possible to change the shape and style through a wide variety of decorative modules, under the condition that the basic modules of the cabinet are the same as the panel furniture, to produce imitation solid wood frame furniture with different styles. The research results show that this paper redefines multifunctional furniture based on the product life cycle, proposes a new definition of multifunctional furniture under the sustainable concept, and proposes the design process of multifunctional furniture. At the same time, the application of a multifunctional furniture design process for furniture design can effectively improve the sustainability of furniture.

Edge-glued wooden panel defect detection using deep learning

The wood-based furniture manufacturing industries prioritize quality of production to meet higher market demands. Identifying various types of edge-glued wooden panel defects are a challenge for a human worker or a camera. Several studies have shown that the detection of edge-glued defects with low, high, normal, overlong, short is identified but detection of residue and bluntness is highly challenging. Thus, the present model identifies defects of low, high, normal, overlong, short by computer vision and/or deep learning, whereas defects of residue and bluntness by deep learning based decide by pass for having better performance. The goal of this paper is to provide an improved defect detection solution for wood-based furniture manufacturing industries by process automation. Therefore, a system was designed that takes defect input images from a camera as raw image and laser-aligned image for defect detection of the edge-glued wooden panel. The process automation then performs computer vision-based image features extraction with deep learning for defect detection. The aim of this paper is to solve edge-glued defect detection problems by using design and implementation of edge-glued wooden defect detection, that can be stated as edge-glued wooden panel defect detection using deep learning (WDD-DL) for process automation by artificial intelligence and Automated Optical Inspection (AOI) consolidation. Possibly there exist several types of defects on the edges while edge-banding on the wooden panel in furniture manufacturing. Therefore, the scope is to achieve higher accuracy by raw image and laser-aligned image feature extraction using deep learning algorithms for final result defect classification in WDD-DL by AOI. The WDD-DL system uses Gabor, Harris corner, morphology, structured light detection and curvature calculation for pre-processing and InceptionResnetV2 Convolutional Neural Network algorithm to attain the best results. The applications of this work can be found in quality control of the furniture manufacturing industry for an edge, corner, joint defect detection of the wooden panels. The WDD-DL achieves best results as the precision, recall and F1 score are 0.97, 0.90 and 0.92, respectively. The experiments demonstrate higher accuracy achievement as compared to other methods with overkill and escape rate analysis. Ultimately, the discussion section provides an interesting experience sharing about the necessary factors for implementing the WDD-DL in real-time industrial operations.

The relationships and trends of interregional virtual water trade based on an MRIO model

Abstract To consider the problem of uneven distribution of water resources, a study on the relationship and trend of virtual water trade between regions based on an Multi-Regional Input-Output (MRIO) model was proposed. Using an MRIO model, the spatial distribution and changing trends of China's inter-regional virtual water trade from 2014 to 2019 were evaluated. The empirical results show that, due to the difference in water use efficiency and production processes in different sectors, the direct and indirect water use coefficients and demand coefficients are different in different regions. In some water-poor areas (regions with low water availability), more products with high water use coefficients are exported, while more water-rich areas (regions with high water availability) export products with lower water use coefficients. The inter-regional virtual water trade only alleviates the shortage of water resources in some poor water areas in China. Some poor water areas export a large amount of virtual water, and the rich water areas import a large amount of virtual water or only maintain a partial virtual water balance. However, the demand coefficient tends to increase, and the trade adjustment trends in different regions and changes in regional virtual water trade relations are not conducive to alleviating the shortage of water resources caused by uneven distribution. The tension coefficients between the food manufacturing and tobacco processing industry, the textile and clothing industry, and the wood processing and furniture manufacturing industries in the Northeast region are relatively large, with the demand coefficients are 92.9, 65.5 and 156.7 respectively. Relatively speaking, the tensile coefficients of areas rich in natural water resources such as the eastern coastal, southern coastal, southwest, and central areas are generally low. According to the production situation, the regional virtual water trade relationship should be adjusted from the level of the national master plan.

Investigation on noise exposure characteristics of workers in wooden furniture manufacturing industry and textile industry

Objective: To investigate the occupational noise exposure characteristics and distribution of workers in wood furniture manufacturing industry and textile industry, so as to provide the basis for the establishment of noise source database and the prevention and control of noise hazards in China. Methods: In March 2020, a total of 653 workers in wood furniture manufacturing industry and textile industry were selected by cluster sampling method. A general questionnaire survey was conducted to measure the characteristics of noise exposure and analyze the changes of 8 h equivalent A-level (L(Aeq, 8 h)) and kurtosis of different industries and types of work. Results: The noise exposure L(Aeq, 8 h) of workers was (91.2±6.9) dB (A) , the median kurtosis and mean kurtosis were 37.0 and 105.0, respectively. 84.1% (549/653) of the workers had L(Aeq, 8 h)≥85 dB (A) , 49.0% (320/653) and 68.5% (447/653) of the workers had median kurtosis and mean kurtosis >10. The L(Aeq, 8 h) level of the textile industry was higher than that of the wooden furniture manufacturing industry, while the median and mean of kurtosis levels of the textile industry was lower than the wooden furniture manufacturing industry (P<0.01) . The L(Aeq, 8 h) levels of spinners and weavers were higher, and the median and mean of kurtosis of nailers were higher (P<0.05) . The mean and median of kurtosis were highly correlated among workers of two industries (r=0.80, P<0.01) . The L(Aeq, 8 h) was positively correlated with mean and median of kurtosis among workers of wooden furniture manufacturing industry (r=0.33 and 0.35, P<0.01) , while it was negatively correlated with mean and median of kurtosis among workers of textile industry (r=-0.45 and -0.40, P<0.01) . Conclusion: Indicators for noise exposure characteristics, such as L(Aeq, 8 h) and kurtosis vary greatly by industries and type of works. Multi-indicator joint measurement is conducive to comprehensive assessment of noise exposure and its health effects.

Dematel-Topsis-AHP for Online Marketing in Furniture Industry

This study aimed to create an online marketing model for the identified furniture industries in metro Cebu as inputs to trends and innovation. Ten (10) furniture industry experts and ten (10) customers who have purchased online were asked for their opinions and preferences in selecting an online marketing strategy. To treat the data for online marketing selection decision-making, an integrated DEMATEL-TOPSIS-AHP approach was used. DEMATEL provided interrelationships and the weight of each criterion, whereas Technique for Order Performance by Similarity to Ideal Solution provided weights and ranking of the initial alternatives. Furthermore, the Analytic Hierarchy Process (AHP) was used to compute the final alternative weights. The global weight was computed for the definitive ranking of alternatives after obtaining weights of all levels in the hierarchy. The proposed MCDM model was used in the Philippines furniture manufacturing industry, with a concentration in Cebu City. A priority map for small and medium-sized businesses in selecting an online marketing strategy that considers both business and customer perspectives has been proposed. This is advantageous because it keeps SMEs competitive in the market. The proposed map will allow decision-makers to choose an online marketing strategy from two distinct perspectives, giving them greater flexibility in selecting the right strategy. More research in various industries is needed to help with the decision-making process for online marketing strategy. Although technology is considered dynamic, the benefits of this proposed model are expected to last for a longer time.

A Sawn Timber Tree Species Recognition Method Based on AM-SPPResNet.

Sawn timber is an important component material in furniture manufacturing, decoration, construction and other industries. The mechanical properties, surface colors, textures, use and other properties of sawn timber possesed by different tree species are different. In order to meet the needs of reasonable timber use and product quality of sawn timber products, sawn timber must be identified according to tree species to ensure the best use of materials. In this study, an optimized convolution neural network was proposed to process sawn timber image data to identify the tree species of the sawn timber. The spatial pyramid pooling and attention mechanism were used to improve the convolution layer of ResNet101 to extract the feature vector of sawn timber images. The optimized ResNet (simply called “AM-SPPResNet”) was used to identify the sawn timber image, and the basic recognition model was obtained. Then, the weight parameters of the feature extraction layer of the basic model were frozen, the full connection layer was removed, and using support vector machine (SVM) and XGBoost classifier which were commonly used in machine learning to train and learn the 21 × 1024 dimension feature vectors extracted by feature extraction layer. Through a number of comparative experiments, it is found that the prediction model using linear function as the kernel function of support vector machine learning the feature vectors extracted from the improved convolution layer performed best, and the F1 score and overall accuracy of all kinds of samples were above 99%. Compared with the traditional methods, the accuracy was improved by up to 12%.

Evaluating Sustainable Conceptual Designs Using an AHP-Based ELECTRE I Method

Evaluating sustainable conceptual designs is a crucial part of the development of new products in various sectors because it contributes to the survival and prosperity of companies. Such designs must be compatible with a product’s functional requirements and be sustainable in economic, environmental, and social terms. Various criteria, some qualitative and others quantitative, are considered when evaluating sustainable conceptual designs; some criteria may also have sub-criteria, and these criteria and sub-criteria may differ in importance. How to effectively evaluate various criteria and sub-criteria and weight them are the major research problem. This study developed an analytic hierarchy process (AHP)-based ELECTRE I method to resolve the evaluation problem; the method entails a two-level hierarchical structure to depict the relationships between the major criteria and sub-criteria and their corresponding weights, with weights obtained through an AHP. Furthermore, an extension based on the addition of net concordance value and net adjusted discordance value is proposed for ranking alternative designs; this extension yields more distinguishable results than the method of [Nijkamp and Van Delft Multi-Criteria Analysis and Regional Decision-Making, Vol. 8 (Springer Science &amp; Business Media, 1977)], and the proposed extension in the ELECTRE I method captures more information in the modified summation matrix when aggregating values in the concordance matrix and the modified discordance matrix, representing an advantage over the method of [Zhang et al. Virtual network embedding using node multiple metrics based on simplified ELECTRE method, IEEE Access 6 (2018) 37314–37327]. In addition, to demonstrate the feasibility of the proposed method, the example of the evaluation and selection of sustainable conceptual designs in the furniture manufacturing industry is presented. Finally, a numerical comparison is made to show the advantages of the proposed method.

Investigation and analysis of noise hazards in three key industries in Shenzhen City

Objective: To understand the basic situation of noise hazards in wood furniture manufacturing, stone processing and special equipment manufacturing industries in Shenzhen City, and to provide basis for preventing and controlling noise hazards. Methods: In August 2019, stratified random sampling ws used to select 21 wood funiture manafacturing, 15 stone processing and 24 special equipment manufactruing as survey object. Through the methods of occupational health field investigation, noise intensity measurement and occupational health examination data collection, the noise hazards of 60 enterprises in three industries were statistically analyzed. Results: There were 154, 44 and 113 noise detection points in wood furniture manufacturing, stone processing and special equipment manufacturing enterprises, and 101, 27 and 78 out of standard points respectively, and the exceeding standard rates were 65.6% (101/154) , 61.4% (27/44) and 69.0% (78/113) , respectively. There were 1670, 172 and 856 workers exposed to noise in the three industries. Among them, 1198, 134 and 703 people had taken occupational health examination. The physical examination rates were 71.7% (1198/1670) , 77.9% (134/172) and 82.1% (703/856) , respectively. The abnormal rates were 19.1% (229/1198) , 51.5% (69/134) and 37.8% (266/703) , respectively. Conclusion: High intensity noise working environment, too long noise exposure time, incorrect wearing of personal protective equipment and neglect of occupational health examination are important reasons for hearing loss of noise exposed personnel.

Comparison Elicitation Techniques in Furniture Manufacture Requirement

The development of the industrial revolution 4.0 in manufacturing has changed conventional business processes to become automated, especially in the furniture sector. The constraints faced by the furniture manufacturing industry are that producers do not have a reporting tool that estimates how many products to sell, goods produced do not match their needs and stock errors. Therefore, the process of extracting needs is an important phase in the development of information systems because it determines the final outcome of the program. The research aims to define system requirements, so that it can help the decision-making process based on real-time data. This study describes the use of system planning techniques in the form of collaborative techniques, observational techniques and contextual techniques, which are combined with the Wellsandt evaluation criteria and measured using the low, medium and high scales. The results of this study are the acquisition of any business process areas that have a high level of difficulty to be prioritized and described in the form of a spider diagram. Implication of this research is that requirements can be used by developers to prioritize areas of business processes that must be improved in making decision support systems.

Research Status and Development Trend of Polylactic Acid Matrix Composites Applied to 3D Printed Furniture

3D printing technology has become more closely connected with furniture manufacturing industry, with the continuous expansion of industrial 3D printer functions. This paper analyzes and discusses the innovation and development advantages of 3D printed furniture, in view of the principle and materials of 3D printing technology. The application of PLA in the field of 3D printed furniture was explored, which proposed a new direction for the subsequent modification research and market application, according to the properties and modification methods of the biodegradable material polylactic acid (PLA). In the discussion of its advantages, the influence of 3D printing on furniture production process, market potential and other aspects were discussed, and the subversive change and future trend brought by this technology to the traditional furniture industry were comprehensively explained. Finally, it shows the view that the application of 3D printing in the field of furniture has a great prospect. The future trend of the development of 3D printing furniture is predicted, which provides constructive suggestions for exploring the development of 3D printing technology in the furniture industry.