Background: This study examines the competitive dynamics of the artisanal wooden furniture industry in Misantla, Veracruz, Mexico, a predominantly informal productive system characterized by family-managed production units and strong territorial embeddedness. Methods: A mixed-methods research design was employed. Quantitative data were collected from 187 family-managed production units (86 woodworking units and 101 workshops) using a structured questionnaire based on five-level Likert scales assessing external efficiency, collective efficiency, and innovation. Statistical analyses included descriptive measures and chi-square tests to examine associations between competitiveness and collective strategies, while qualitative validation and thematic interpretation based on expert assessments were used to contextualize sectoral practices and structural constraints. Results: The findings indicate a low overall competitiveness score (1.92/5), associated with informal practices, limited technical training, and weak supply chain integration. Despite these constraints, the sector maintains a strong cultural identity and contributes to its local economy. Conclusions: Artisanal supply chains can achieve functional levels of logistics performance through internal coordination dynamics. Strengthening collaboration mechanisms is a viable strategy for improving logistics performance in artisanal manufacturing systems in emerging economies. These findings provide empirical evidence to support the design of collaborative strategies that integrate traditional craftsmanship with modern supply chain practices in artisanal micro-industries.

Proposing circular bioeconomy design strategy: A crucial step towards sustaining the wood furniture industry in Indonesia

This article presents a real‐time solution designed to improve energy efficiency in the wood furniture industry by leveraging Industry 4.0 technologies. The proposed system integrates intelligent sensors, augmented reality, and AI‐driven energy management, utilizing artificial neural networks to monitor and optimize energy‐intensive processes, particularly heating and drying. After identifying critical energy use points through site visits and thermal imaging, the system is implemented and tested in the SEREX machining workshop in Québec. The solution prioritizes thermal comfort, material quality, and energy efficiency through hierarchical control logic. Experimental results demonstrate an 86% reduction in propane consumption and a 128.05 kWh decrease in energy use, resulting in $14.85 in cost savings over a 3 h operational period compared to an unassisted operation. This reduction is achieved using a 250 000 Btu h −1 Modine PDP250 heater in a 120 m 2 workshop under standard winter conditions in Québec. These findings validate the system's potential to enhance energy performance and reduce emissions in small and medium‐sized enterprises. The framework provides a scalable pathway for sustainable energy management applicable across various wood manufacturing.

The wooden furniture industry is a growing informal sector in Sukarame District, Bandar Lampung City, characterized by a work environment filled with exposure to physical factors such as noise. Although noise levels in some production areas are still below the Threshold Limit Value (TLV) of 85 dBA, workers continue to report health complaints related to this exposure. This study aims to explain complaints of production area workers regarding noise exposure that is still below the TLV. The method used is a qualitative descriptive study of 15 workers from three wooden furniture industries and direct observation of the work environment. The results showed that most workers experienced complaints such as headaches, difficulty concentrating, fatigue, and sleep disorders. These complaints were associated with long working hours, the type of machinery used, and the failure to use personal protective equipment (PPE) such as earplugs. Although noise levels have not exceeded the TLV, continuous exposure for 8 hours or more per day still has a psychophysiological impact on workers. Interventions such as work time management, education on the use of PPE, and machine maintenance are needed to reduce noise intensity. These findings emphasize the importance of evaluating noise risks not only based on threshold values, but also taking into account workers' perceptions and subjective health conditions.

This research aimed to provide a comprehensive model to identify the factors that affect growth in production within the wooden furniture industry in the post-corona era. A mixed research method was used, gathering both quantitative and qualitative data. The statistical population consisted of experts and academics, with the effective factors being explored through interviews. In the qualitative section, through thematic analysis and the use of MAXQDA software, 10 themes were identified after 10 interviews. To determine the final indicators, a researcher-made questionnaire was distributed to five experts, resulting in the presentation of the conceptual model. In the quantitative section, 120 individuals were selected (112 responded). The questionnaire, including the final indicators, was then distributed to them. In this section, the SEM method and Smart-Pls software were used for factor analysis. The results indicated that factors such as the political environment, supply chain, and improvement of the business climate had the greatest impact on production growth. A significant relationship was found between factors influencing technological developments, productivity, procedural modifications, monetary policies, financial policies, rules and regulations, political environment, administrative bureaucracy, improvement of the business climate, supply chain, and production growth in the wooden furniture industry in Iran during the post-corona era.

Traditional methods used by many carpenters in Bongabong, Oriental Mindoro wood furniture sector in managing orders and tracking work are slow and error-prone. The research focuses on designing an e-commerce site that helps the carpenter promote wooden items, create a marketplace for customers, and also implements features such as a real-time chatbot, push notifications, data visualization, tracking inventory, product 3D view, and determining the perception of users by adopting the ISO/IEC standards and the UTAUT framework. The researchers presented “e-Carp,” an e-commerce platform for wood furniture and fixtures to address problems carpenters have encountered. The platform was developed using the Agile model. ISO/IEC 25010 assesses the system’s quality, while the UTAUT model assesses user acceptance. The results based on ISO 25010 evaluation reveal high scores in Usability (4.72), Portability (4.41), and Security (4.25), and the UTAUT framework with mean scores ranging from 3.52 to 3.91 across Behavioral Intention, Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions. The findings of the study were that e-Carp enhanced order processing, reduced errors in inventory, and improved customer satisfaction through a real-time chatbot while making the system more adoptable. The study concludes that e-Carp can modernize the local wood furniture industry through improving business performance, operations, and market reach. Promotional tools, better filtering, and an enhanced chatbot should be included. The recommendations include push notifications, AR features, and real-time tracking. Regular updates should be provided based on user feedback to improve it further.

ABSTRACT The scheduling of irregular solid wood furniture components poses unique challenges due to complex geometries, multi-machine routing, and high human involvement in semi-automated production. To address these challenges, this study innovatively proposed a hybrid optimization approach that integrates Genetic algorithm (GA) and Monte Carlo tree search (MCTS). The GA performs global scheduling to generate initial solutions, while the MCTS component adaptively refines machine assignments by considering setup times and human-in-the-loop factors. Experimental validation using real-world production data demonstrates that the proposed GA-MCTS method significantly reduces makespan, improves machine utilization, and balances line workload more effectively than traditional heuristics or standalone GA/MCTS models. Furthermore, the proposed model is computationally lightweight, making it well-suited for deployment in small-to-medium-sized enterprises (SMEs) where data collection and automation are limited. The findings provide a practical and adaptive scheduling framework for smart manufacturing, bridging the gap between advanced optimization techniques and the operational realities of the wood furniture industry.

Sinonasal squamous cell carcinoma (SNSCC) is an uncommon malignancy arising within the nasal cavity and paranasal sinuses, representing approximately 3% of head and neck cancers. The non-keratinizing subtype (NKSCC) presents unique diagnostic and therapeutic challenges, particularly when exhibiting locally advanced disease with extension towards critical structures like the skull base. Management typically involves a multimodal approach centered around surgical resection, often followed by adjuvant therapy. We present the case of a 51-year-old female, employed in the wood furniture industry, presenting with a progressively enlarging right nasal mass initially noted four years after removal of a right cheek lesion. Symptoms included unilateral nasal obstruction, epistaxis, anosmia, and loosening of maxillary teeth. Clinical examination revealed a large, friable mass obliterating the right nasal cavity and extending onto the palate. Computed tomography confirmed an extensive destructive mass involving the right nasal cavity, maxillary sinus, ethmoid sinus, extending to the nasopharynx, parapharyngeal space, masticator space, buccal space, frontal sinuses, and abutting the right internal carotid artery. Biopsy confirmed Non-Keratinizing Squamous Cell Carcinoma. The patient was staged as T4bN2cM0 according to the AJCC 8th edition criteria. Following neoadjuvant chemotherapy, the patient underwent total maxillectomy via a Weber-Ferguson approach with Lynch modification, including placement of a dental obturator. In conclusion, advanced NKSCC involving the skull base requires aggressive, multidisciplinary management. This case highlights the necessity of radical surgical resection, such as total maxillectomy via extended approaches like the Weber-Ferguson with Lynch modification, to achieve oncologic control in extensive T4b disease. Despite the challenges posed by proximity to vital structures, surgery remains the cornerstone of treatment, often requiring adjuvant therapy to optimize outcomes. Long-term follow-up is crucial due to the inherent risk of recurrence.

Fiercer competition across all industries has made identifying and eliminating lean wastes to enhance sustainability performance an effective route that many companies take. This study focuses on the production process of wood park/garden benches at a company that manufactures outdoor wood furniture. The goal was to identify lean wastes within a sustainability framework across seven operations and integrate multi-criteria decision making (MCDM) methodologies for waste elimination. Eleven lean KPIs addressing economic and environmental sustainability were used to develop and prioritize 13 lean failure modes (LFMs) with Risk Priority Numbers (RPNs) above 100, leading to lean project proposals for each LFM. Eighteen lean tools were ranked using the Fuzzy Quality Function Deployment (Fuzzy QFD) method. A total of eight improvement propositions, namely, Kaizen and continuous improvement, upgrade machinery for energy efficiency, Just-In-Time (JIT), optimize production processes with lean methodologies, implement cost reduction strategies, Total Productive Maintenance (TPM), Investing in Automation, and Andon were implemented. Significant improvements were observed post-implementation: total lead time was reduced by approximately 38.46%, value-added time by 22.05%, and non-value-added time by 47.64%. The required number of workers decreased by 14.29%, and the total inventory decreased by approximately 57.31%. The results contribute to sustainability goals by reducing energy consumption and waste while increasing economic efficiency. It also provides a robust framework for decision making in fuzzy environments, guiding practitioners and academics in lean management and sustainability.

The wooden furniture industry has become one of the most prominent sectors in recent years.Over the past five years, Indonesia's furniture export performance has increased by 77.9%.Despite this growth, the industry often overlooks the significant amount of wood waste it generates, which can contribute to environmental issues.Reusing wood waste offers an environmentally friendly solution, including repurposing it to produce gallon holders as part of recycling and waste reduction efforts.This study evaluates the environmental impact and eco-efficiency of gallon holder products made from wood waste using the life cycle assessment (LCA) method with SimaPro software.A comparative analysis was conducted between gallon holders made from wood waste and those made from virgin wood to identify the option with better eco-cost value.The findings revealed that products utilizing wood waste as raw material have a superior eco-cost value of IDR 171,586.523.Based on these results, two recommendations are proposed: adopting solar panels as an alternative energy source to replace conventional electricity and using biovarnish paint as a more sustainable alternative to conventional varnish.

This research aims to determine the level of furniture production that enables optimal profits from MSMEs[1] Wooden Furniture from Community Teak Forests. This industry is located in Jakarta and uses sawn teak wood which comes from community teak forests in West Java and its surroundings. This study utilizes secondary data from a small industrial business (CV. Meubel Jaya), along with interviews with management and technical staff regarding the production process, raw materials, supporting materials, and the production timelines for each type of furniture manufactured. The analysis is conducted using Integer Programming, with the aid of QM for Windows software version 5.3. The constraint functions considered include raw materials such as teak wood, various supporting materials for furniture production, and labor hours required to manufacture each product. The analysis reveals that only specific types of furniture can maximize profits for MSMEs specializing in People's Teak Wood Furniture. The recommended monthly production includes 4 single-door cupboards, 8 table sets with 6 chairs, 2 table sets with 4 chairs, and 1 bed measuring 180 x 200 cm, yielding an optimal profit of Rp. 43,200,000. This strategy demonstrates that focusing on these four furniture types increases profits by 158% compared to the current production of 11 furniture types, which generates only Rp. 27,225,000, resulting in a profit difference of Rp. 15,975,000.Keywords: Small Wood Furniture Industry, Community Teak Wood Forests, Profit Optimization, Integer Programming, QM for Windows. [1] MSMEs refer to productive enterprises owned by individuals or business entities that fall within specific categories. These categories include micro, small, and medium businesses, each defined by certain financial criteria, Micro Businesses, Operate with a maximum business capital of IDR 1 billion and annual sales not exceeding IDR 2 billion. Small Businesses, have business capital ranging from over IDR 1 billion to a maximum of IDR 5 billion, with annual sales revenue between more than IDR 2 billion and up to IDR 15 billion. Medium Businesses, operate with business capital exceeding IDR 5 billion but not more than IDR 10 billion and annual sales revenue between more than IDR 15 billion and up to IDR 50 billion.

This article investigates the significant implications of the growth of the wood furniture industries on the sustainability of urban and peri-urban forests in areas of the Bukoba Municipal Council (BMC). The rapid expansion of these industries has emerged as a primary driver of forest depletion, as they depend heavily on raw materials sourced from local forests. To understand the factors contributing this growth and its subsequent impact on forest resources, both primary and secondary data were collected from two wards of Nshambya and Kitendaguro in BMC. The qualitative data were analyzed using content analysis technique while the quantitative data were treated using factor analysis technique to investigate the indicators catalyzing the growth of wooden furniture industries in the study area. The findings unequivocally demonstrate a strong correlation between the expansion of these industries and the depletion of urban and peri-urban forests. There is an increase demand for wood, which has directly contributed to deforestation as industries strive to meet production requirements. The article concludes that the growth of wood furniture in BMC does not produce the desired forests sustainability in the urban and peri-urban areas, but rather poses huge challenge for the management of forest resources among the local communities whose livelihoods depend on them.

This study, based on TRIZ theory, explored the design and manufacturing process of wooden low stools. The results showed that the systematic approach and innovative tools provided by TRIZ theory effectively resolved various contradictions encountered in the design of wooden low stools, thereby enhancing the product's performance, aesthetics, functionality, and competitiveness. Through the appropriate application of TRIZ, product design and manufacturing were optimized, providing a reference for promoting the upgrading and transformation of the entire wooden furniture industry. This study offered TRIZ theory as a thought process for product design research and provided a reference for the wood industry and woodworking workshops.

Spatiotemporal prediction of greenhouse gas emissions from rubber wood industry, taking Hainan as the case

False heartwood is a common defect in beech wood. If the false heartwood is healthy and without microbial attacks, it is possible to utilize such material. Application of adhesives and coatings is an important part of the wood furniture industry. Studying wood surface properties provides answers to problems in application of glues, coating materials, and similar. Comparing wettability and surface free energy of false heartwood, ripe wood, and sapwood zones of beech was the focus of this paper. Two-way ANOVA with Duncan post-hoc test of multiple comparison was used for testing of the hypotheses and statistical evaluation of the results. The zones were also examined with light microscopy. Two testing liquids were used in wettability experiment – redistilled water and diiodomethane. Ripe wood showed the best wettability for both testing liquids among the wood zones. Significant differences in contact angles at the beginning of the wetting process, equilibrium contact angles, and surface free energies were found in almost all pairwise comparisons of the wood zone and testing liquid factors. The pairs where significant difference was not found were as follows: false heartwood and ripe wood in testing with redistilled water, and ripe wood and sapwood in testing with diiodomethane. Equilibrium times in all wood zones for both testing liquids were also statistically evaluated. Significant differences were found in all wood zones in testing with redistilled water. In testing with diiodomethane, equilibrium time for false heartwood was significantly different from ripe and sapwood zone equilibrium times.

The furniture industry has a fairly good development, so it will affect the income level of the craftsmen. The purpose of the study was to analyze the effect of capital, labor and total production on income. The research location is in Baruga District, Kendari City. The research focuses on the income of furniture industry entrepreneurs and the factors that influence it. The sample was selected using the census method, namely using the entire population as a sample. The sample was 36 wood industry entrepreneurs. The data analysis technique used is multiple linear regression. The results showed that 1) Jointly business capital, labor, and production on furniture business income in Baruga District, Kendari City have a significant effect on furniture business income. This is indicated by the test results Fhitung = 14.935 > ? = 0.05. (2) Business capital on furniture business income in Baruga Subdistrict, Kendari City has a significant effect on increasing the income of respondents' furniture business spread across Baruga Subdistrict, Kendari City. This is indicated by the results of the t test at the level of sign. 0.128 > ? = 0.05., (3) The number of workers on the income of the furniture business in Baruga District, Kendari City does not have a significant effect on increasing the income of the furniture business spread across Baruga District, Kendari City. This is indicated by the results of the t-test at the level of sign. 0.000> ? = 0.05 and (4) Furniture business production (x3) partially does not have a significant effect on increasing the income of furniture businesses scattered in Baruga District, Kendari City. This is indicated by the results of the t test at the sign level. 1,954 > ? = 0,05. This means that capital, labor, and total production simultaneously have a significant effect on the income of wood furniture industry entrepreneurs. Capital, labor, and raw materials partially have a positive and significant effect on the income of wood furniture industry entrepreneurs. This means that the greater the capital spent, the labor used and the amount of production owned, the greater the possibility of the amount of production produced, so that the income received is greater.

Introduction: Wooden furniture is one of Indonesia's superior products, with a low-efficiency level. However, the wooden furniture industry is often associated with intense environmental degradation and high levels of waste. In anticipating waste, a green manufacturing model proposed is Lean-Green manufacturing. This current study aims to explore the implementation of the Lean-Green model in a furniture company's waste processing system and assess the effectiveness of Lean-Green implementation. Methods: The research methodology was qualitative with the Lean-Green scoring method implemented in the supply chain of Company S. Data were collected through interviews and field observations. Results: Company S had a low score, meaning that the interaction between the Lean and Green approaches in the waste processing of the supply chain was not optimal. The Lean-Green implementation in the wooden furniture industry was effective in evaluating waste processing in the supply chain. The research findings urge the initiatives to improve the understanding and implementation of the Lean-Green concept. Conclusion and suggestion: The evaluation of the Lean-Green implementation helps the company’s manager improve the supply chain with sustainable measures.

Supply chain security is a major prerequisite for China’s successful industrial modernization, while the digital economy has significantly contributed to industrial transformation and upgrading. This study considers China’s wooden furniture industry as its research object, constructing an evaluation index system of the digital economy and supply chain security of the wooden furniture industry. Then, it studies the impact of the digital economy on supply chain security through theoretical analysis and empirical methods using the two-way fixed model of provinces and time. The findings demonstrate that the digital economy effectively enhances the level of supply chain security in China’s wooden furniture industry, further validating the digital economy’s positive externality impact on the traditional real economy. The impact mechanism test shows that inventory turnover capacity is the focal point for the digital economy to improve the supply chain security of the wood furniture industry, specifying the starting point for that industry’s digital transformation. The heterogeneity findings show that the role of the digital economy in improving the wood furniture industry’s level of supply chain security is more significant in inland areas than in coastal areas. Additional analyses found a threshold effect of the digital economy’s impact on supply chain security, indicating its limitations. This study explores the impact of the digital economy on the real economy from a traditional manufacturing industry, enriching research on the positive externalities of the digital economy as well as providing a reference for traditional manufacturing industries, such as that of wooden furniture, to probe the embedding points of the digital economy and appropriate digital transformation.

الملخص تهدف الرسالة الحالية إلي تقييم دور أبعاد النشاط التسويقي لصناعة الأثاث الخشبي بمحافظة دمياط في تحقيق رضا العملاء مع تقييم الدور الوسيط لتوقعات العملاء، وقد تم إعداد قائمتي استقصاء لجمع البيانات الأولية من عملاء الأثاث ومنتجي الاثاث بمحافظة دمياط، وقد بلغ حجم العينة المختارة من عملاء الأثاث 384 مفردة، وبلغ حجم العينة المختارة من منتجي الأثاث 350 مفردة، وتم تحليل البيانات إحصائياً باستخدام أسلوب تحليل المسار من خلال برنامج (Amos V.25)، وقد أشارت نتائج التحليل الإحصائي إلى وجود تأثير إيجابي معنوي مباشر لأبعاد النشاط التسويقي المتمثلة في (التسعير ، تخطيط المنتجات ، الترويج) على توقعات العملاء، وأيضاً وجود تأثير معنوي إيجابي للنشاط التسويقي المتمثلة في (تخطيط المنتجات، التوزيع، الترويج) على رضا العملاء، كذلك وجود تأثير معنوي إيجابي لتوقعات العملاء على رضا العملاء، وأخيراً وجود تأثير غير مباشر لأبعاد النشاط التسويقي المتمثلة في (التسعير، تخطيط المنتجات، الترويج) على رضا عملاء الأثاث من خلال توسيط توقعات العملاء. Abstract This study aimed to evaluating the role of marketing activity for the wooden furniture industry in Damietta Governate in achieving customer satisfaction : the mediating role of expectations. A quantitative method with deductive approach is chosen in this research. In order to collect primary data, a two questionnaires are designed and data have been collected from furniture customers and furniture producers. The SPSS is used to process the primary data, and AMOS to measure the direct and indirect relationships between variables. Samples size is 384 of furniture customers and 350 of furniture producers. The findings show that there is a significant positive effect of marketing activity dimensions represented in (products planning, pricing, promotion) on customer expectations. Also, it shows that there is a significant positive effect of marketing activity dimensions represented in (products planning, distribution, promotion) on customers satisfaction. Also, it shows that there is a significant positive effect of customers expectations on customers satisfaction. And finally, customers expectations mediating the relationship between marketing activity dimensions and customers satisfaction.

The main problem in the furniture industry is the quality of wood and furniture products due to the lack of knowledge about wood, available tools machinery, and labor. To deal with these problems, the solutions offered are counseling, training in wood and furniture products knowledge, and procurement of planer and finishing machines. The purpose of the service is to find out the quality problems of wood and furniture products in the antique art and teak wood furniture industry. Community service methods with counseling, training on the quality of wood and furniture products, and procurement of planer and finishing machines. Targets and outputs are to increase knowledge of the quality of wood and furniture products and the procurement of planners and finishing machines. The results of the service show that counseling and training on wood and furniture product knowledge is very effective for increasing knowledge of the quality of wood and furniture products. The use of planer and finishing machines can improve the quantity, quality, and innovation of products.