Search Results (171)

The digitalization of business activities is already a reality in most developed countries. India, driven by strong information technology, is rapidly digitalizing across business industries. In the retail industry, this shift is visible in the adoption of omnichannel strategies to enhance value for customers, loyalty and trust, retailer’s image, overall shopping experience, and operational productivity. The present study assesses the extent of omnichannel transformation in the five leading Indian retail sectors viz. Consumer Electronics, Fashion and Apparel, Furniture and Home Decor, Grocery and Supermarkets, and Personal Care and Hygiene. The research design uses mystery shopping approach to collect data from 166 nationally present retailers to analyze their level of omnichannel implementation and digital adoption. The authors performed all statistical analyses and visualizations in R using the ggstatsplot package. The results highlight a less-than-ideal picture of channel integration, suggesting that while top retailers in each sector dominate channel integration, most others have made limited progress. Among the sectors, the Furniture and Home Decor sector leads in channel integration. Other contributions of this study include the enhancement of the existing measuring tool by introducing new indicators. The study reveals gaps in omnichannel implementation to help managers plan strategic improvements. Full article

This study investigates how cultural and natural heritage can inform surface design for fashion, focusing on the development of a capsule collection of geoproducts in the UNESCO Global Geopark of Caçapava do Sul, Brazil. The purpose is to expand the scope of existing geoproducts, often limited to food and souvenirs, by introducing textile-based items that reflect local identity and contribute to sustainability. The research employed an applied, qualitative, and descriptive approach, including bibliographic review, questionnaires with local artisans, and the mapping of existing geoproducts. Data were analyzed through content analysis, and the creative process followed the method of cross-fertilization, which stimulates innovation by combining knowledge from design, geology, and craftsmanship. The design process was organized into four phases—preparation, generation of alternatives, selection, and realization—culminating in the capsule collection Aflora. The collection comprised two thematic lines: Cactaceae, inspired by endemic flora, and Geo, based on local geomonuments. The results demonstrate that surface design can mediate the relationship between fashion and heritage, producing identity-driven and innovative textile products. Three surface-design modules were produced, six product mockups, and two geoproduct prototypes, developed with materials such as wool, felt, sarja, and cotton fabrics. The study contributes theoretically by linking apparel design with heritage valorization, and practically by proposing a replicable model for geoproduct development. Limitations relate to the single case study and qualitative scope, suggesting future research on replication, eco-friendly printing, and market feasibility. Full article

The apparel industry plays a critical role in the global economy but continues to face persistent challenges related to fit accuracy, overproduction, inefficiencies, and limited digital integration. These issues are particularly evident in made-to-measure (MtM) manufacturing, where manual processes, fragmented digital tools, and weak data continuity hinder scalability and sustainability. This study aims to identify the key barriers to MtM 4.0 adoption and propose a digitally integrated workflow capable of supporting efficient, sustainable, and customer-centric apparel production. A systematic review of Industry 4.0 technologies and MtM practices is conducted to structure the problem and derive the requirements for a next-generation workflow. Based on these insights, a three-stage MtM 4.0 workflow (connecting design, product development, and production) is developed and operationalized in a functional prototype, MtM Lusitano 4.0. The prototype integrates a web configurator, a rule-based pattern engine, and ERP/MES connectivity, enabling full digital continuity from customer input to shop-floor execution. Results from industrial deployment confirm functional improvements, including increased measurement accuracy, reduced manual interventions, and stable production release flows. The study concludes that the proposed MtM 4.0 workflow strengthens operational efficiency, supports sustainability goals, and provides a structured pathway for digital transformation in the apparel sector. Full article

Textile recycling promotes a circular economy, a system seeking to minimize waste and maximize the value of textiles by reusing them. Currently, mechanical recycling produces short, weak, and low-quality fibers that diminish the value of the textiles, resulting in downcycled products and loss of value. The Respool Fiber Research (RFR) model was developed from an examination of current practices, relevant literature, and apparel design and material selection models. Demonstrating the capabilities of mechanically recycled textiles in material development, the RFR model is intended for educators, research laboratories and design studios, product developers, and designers. The RFR model ventures beyond current models of textile recycling through its fiber-oriented approach to material development. To demonstrate the application of the RFR model as part of the development process, mechanically recycled cotton fibers and polyester fibers were used to develop yarns and nonwoven fabrics. The application of the RFR model demonstrated that the RFR model is valuable for selecting which recycled fibers are appropriate for different types of products. Full article

Amid evolving consumer demands, product design increasingly emphasizes the deeper needs for emotional resonance and cultural identity. Taking Liao–Jin dynasty silk as a case study, this study explores a digital regeneration pathway for traditional cultural colors, evolving from “form–color restoration” to “emotional awakening.” The study focuses on transforming the emotional imagery—such as “mighty” and “dignified”—embedded in the colors of Liao–Jin silk into perceptible, customizable color experiences for modern consumers. To achieve this, an emotional color customization system was constructed through the integration of Interactive Genetic Algorithms (IGA) with the PAD emotional model. Within this system, cultural emotional semantics (e.g., “Powerful,” “Victory”) were quantified as target anchor points in PAD space. The matching degree between color schemes and target emotions is calculated based on user feedback, and is utilized as a fitness function to drive evolution. An experiment was conducted with 48 volunteer evaluators using Liao–Jin silk. Results demonstrated that, compared to traditional IGA, this method achieved significant improvements in emotional matching accuracy: average fitness increased by 34.00%, maximum fitness rose by 10.76%, and the spiritual essence of Liao–Jin culture was more effectively translated into color schemes that evoke positive user emotions. This research offers an innovative solution for cultural heritage digitization, advancing from “form–color restoration” to “emotional and spiritual regeneration.” It also provides a viable approach for intelligent emotional design in fields such as apparel design, cultural creativity, and digital cultural heritage preservation. Full article

This study develops and validates a weft knitted Mini-Jacquard in Peruvian Pima cotton as a print-free coloration strategy by integrating CAD-based pattern simulation with prototype manufacturing. A three-color design (red, blue, white) was programmed on a flat knitting machine using a 10 × 14 rapport. Color-wise yarn consumption was computed directly from the digital pattern, and the physical sample was characterized through combustion testing and optical micrographs. The prototype exhibited a yarn count of ~20/1 Ne, S-twist (~11.18 TPI), and 100% cellulosic composition. The blue yarn showed the highest consumption (≈73.81%), followed by white (≈19.65%) and red (≈6.55%), consistent with the digital rapport’s color distribution. The CAD stage ensured pattern fidelity and supported raw-material planning; the knitted sample showed a soft hand, dimensional stability, and sharp motif definition upon visual assessment. A sustainability and comparative analysis with chemical printing was conducted, revealing that the Mini-Jacquard achieved the highest design accuracy and tactile comfort, outperforming screen printing and heat transfer in geometric fidelity, chromatic homogeneity, and texture. The Mini-Jacquard optimized operational times (320 min/m²) compared to transfer printing (332 min/m²) and screen printing (740 min/m²), reducing process stages and complexity. Although Jacquard production involves higher energy costs ($34.8) and material expenses ($11.6), it provides greater structural value and durability, positioning it for high-end applications. Moreover, the Mini-Jacquard could reduce water consumption by approximately 90% and thermal energy use by 70%, eliminating chemical residues and extending fabric lifespan, thus offering high sustainability and circular potential. A transparent scenario-based analysis indicates substantial reductions in water and thermal-energy use when omitting printing/fixation/washing stages, along with the elimination of printing-stage effluents. Overall, design-integrated coloration via Mini-Jacquard is technically feasible and potentially eco-efficient for Pima-cotton value chains, with applications in apparel, accessories, and functional textiles. Full article

The apparel industry is changing dynamically and quickly to manufacturing sustainable fashion products and the development of sustainable design strategies that minimize material consumption at the source. This study addresses a critical research gap by quantitatively evaluating the impact of fusing traditional South Asian garment construction (the kameez) with varied, Western-inspired sleeve geometries on key manufacturing metrics. Thirty-three distinct women’s garment styles, comprising three kameez types (simple, princess-cut, open-front) each paired with eleven different sleeve designs, were developed in the apparel industry to study the effect of fabric efficiency, wastage, and cost-effectiveness. The virtual patterns and markers were drafted and accomplished through Garment Gerber Technology (GGT) software to analyze fabric consumption, fabric efficiency, and cost-effectiveness. The results revealed that paneled kameez styles, such as the princess-cut and open-front, are significantly more material-efficient, achieving average fabric efficiencies of up to 83.95%, compared to the monolithic simple kameez, which averaged only 75.68%. Among sleeve types, multi-constructions like the slit sleeve and cuff sleeve proved most efficient (achieving up to 86.91% efficiency), while voluminous, single-piece designs like the umbrella sleeve consumed the most fabric and were the least efficient. Open-front kameez slit sleeves (OFSL3), simple kameez slit sleeves (SSL3), and princess-cut kameez slit sleeves (PCSL3), were better and more sustainable selections since they were most efficient in fabric efficiency (i.e., 86.91%, 86.17%, and 86.09%). Furthermore, the simple kameez style has the highest fabric wastage (above 22%), while the princess kameez style has the least (below 19%). The simple kameez slit sleeves design (SSL3) has the minimum wastage, while the simple kameez umbrella sleeves design (SSL4) has the maximum wastage. From a cost perspective, the open-front kameez slit sleeve (OFSL1) was identified as the most economical design, whereas the simple kameez with an umbrella sleeve (SSL4) was the most expensive. Statistical analysis confirmed that the differences between kameez styles were significant (p < 0.05). Thus, adoption of specific, sustainable, deliberate design choices and incorporating paneling into the garment body and utilizing multi-piece sleeve constructions offer a quantifiable and strategic approach for manufacturers to reduce material waste, optimize fabric utilization, and improve production cost-effectiveness. Full article

The increased consumption of apparel has resulted in a corresponding increase in the volume of waste textiles, with polyester–cotton blended textiles accounting for as much as 80% of the total. However, extant recycling methodologies are beset by challenges, including high cost and difficulty in separation. Mycelium has been shown to possess the ability to degrade complex components in culture substrates. The present study explores the feasibility of using polyester–cotton yarn as a substrate for mycelium composite materials, thus offering an innovative approach to the treatment of waste blended textiles. Five mycelium composite materials with varying polyester–cotton ratios were prepared and tested for mechanical strength, moisture resistance, and biodegradability. ANOVA analysis confirmed that all properties of the mycelium composites were significantly influenced by the polyester–cotton matrix ratio, with partial eta-squared (ηp²) exceeding 84% across all properties. The most significant effect was observed in compressive strength (ηp² > 99%). Experiments identified a 65:35 polyester–cotton ratio as yielding optimal comprehensive properties: namely, a compressive strength of 0.221 MPa and flexural strength of 0.791 MPa, coupled with excellent moisture resistance and biodegradability. This provides data support for the development of textile-based mycelium composite products. In light of the aforementioned performance studies and material characteristics, the development of three series of experiential home products was undertaken. Design evaluations were conducted to explore the potential application of mycelium composites, which could have significant implications for promoting sustainable development in the textile and apparel industry and advancing innovative designs for mycelium composite materials. Full article

Consumers are increasingly willing to choose more sustainable products, driven by affordability and sustainability considerations. However, they often face difficulties in understanding the multitude of product certifications and identifying “greenwashing” marketing claims. This highlights the need for a clear and harmonized sustainability scoring system that allows consumers to benchmark products. Sustainability encompasses three key pillars: environmental, social, and economic. Accurately scoring a product’s sustainability requires addressing a wide range of criteria within these pillars, introducing significant complexity. This study proposes a multicriteria methodology for scoring the sustainability of apparel products into an A to E label. The approach combines a life cycle assessment covering environmental impacts from “farm-to-gate”, with a social evaluation based on country-level social key performance indicators (KPIs) and factory-specific data aligned with the International Labour Organization (ILO). Additionally, the sustainability score incorporates the impact of product durability, as longer-lasting products can reduce environmental footprint and costs for consumers. The methodology is defined and validated through a case study of a white T-shirt produced with 50% recycled cotton and 50% organic cotton. The results demonstrate the comprehensive assessment of the T-shirt’s environmental and social impacts, providing a detailed sustainability score, highlighting the role of recyclability. This comprehensive sustainability scoring system aims to provide consumers with a clear, harmonized, and reliable assessment of product sustainability, empowering everyone to make informed purchasing decisions aligned with their values. It will also enable brands and retailers to calculate the sustainability score of their products, including in the scope of digital product passport, provided they can ensure traceability and transparency along the supply chain. Full article

To contribute to the emerging knowledge on the sustainability impacts of small, circular clothing reuse businesses in the US, we employed a case study research methodology to empirically test the case of Circular Thrift, an innovative, community-based startup business model with potential to create a circular fashion ecosystem on the firm level. Primary data on circular activities were collected on site within the first year of business operation. The Life Cycle Assessment methodology was conducted to assess environmental impact avoidance. The social impact of reused products was assessed to contribute to a more comprehensive understanding of the benefits of born circular business models. Tangible environmental benefits accounted for the collection of 10,772 apparel units and resulted in the diversion of 2311.05 kg (approximately 5095 pounds) of clothing from the local landfill. Social impact accounted for 45.86% of the collected items that were given back to the local community. Empirical testing of the environmental benefits of a Circular Thrift business model makes a strong case for scaling up reusable efforts as a means to address post-consumer textile waste at the local community level within the US, where formal and government-regulated resource collection and recovery systems still do not exist. Full article

This paper presents an Industrial–Ecological Symbiosis Framework that enables industrial operations to achieve quantifiable ecological gains without compromising operational efficiency. The model integrates Mixed-Integer Linear Programming (MILP) with AI-optimised forecasting to allow real-time adjustments to production and resource use. It was tested across the apparel manufacturing, metalworking, and mining sectors using publicly available benchmark datasets. The framework delivered consistent improvements: fabric waste was reduced by 10.8%, energy efficiency increased by 15%, and carbon emissions decreased by 14%. These gains were statistically validated and quantified using ecological equivalence metrics, including forest carbon sequestration rates and wetland restoration values. Outputs align with national carbon accounting systems, SDG reporting, and policy frameworks—specifically contributing to SDGs 6, 9, and 11–13. By linking industrial decisions directly to verified environmental outcomes, this study demonstrates how adaptive optimisation can support climate goals while maintaining productivity. The framework offers a reproducible, cross-sectoral solution for sustainable industrial development. Full article

This study extends our prior blockchain-based traceability framework, WEave, for application to a furniture supply chain scenario, while using the original multi-tier apparel supply chain as an anchoring use case. We integrate circular economy principles such as product reuse, recycling traceability, and full lifecycle transparency to bolster sustainability and resilience in supply chains by enabling data-driven accountability and tracking for closed-loop resource flows. The enhanced approach can track post-consumer returns, use of recycled materials, and second-life goods, all represented using a closed-loop supply chain topology. We describe the extended network architecture and smart contract logic needed to capture circular lifecycle events, while proposing new metrics for evaluating lifecycle traceability and reuse auditability. To validate the extended framework, we outline simulation experiments that incorporate circular flows and cross-industry scenarios. Results from these simulations indicate improved transparency on recycled content, audit trails for returned products, and acceptable performance overhead when scaling to different product domains. Finally, we offer conclusions and recommendations for implementing WEave functionality into real-world settings consistent with the goals of digital, resilient, and sustainable supply chains. Full article

The textile sector plays a crucial role in Peru’s economy. This case study examines a Micro and Small Enterprise (MSE) in the Peruvian textile sector, which experienced a productivity decline to 0.085 units per sol in 2023, compared to the sector average of 0.13 units per sol. This productivity gap resulted in a 22.45% reduction in the company’s income. Previous studies addressing similar productivity issues have achieved only marginal improvements. This study aims to achieve more significant results by implementing 5S, Total Productive Maintenance (TPM), digitization, and advanced data analytics to enhance data recording and overall productivity. Data analytics is utilized to transform raw data into actionable insights, optimize maintenance, and improve quality control. The methodology was tested through a pilot project in the company’s apparel division, resulting in a productivity increase of 0.10 sol/unit. The study concludes that the applied methodology, supported by data analytics, effectively addresses the productivity issues and optimizes the processes within the case study. In a textile sector MSE, which has a problem with the low productivity present during the past year of 2023, i.e., of 0.085 und/sol whereas is at 0.13 und/sol on the side of the sector, it thus generates a negative economic impact of 22.45% of the company’s income and a presenting a gap of 0.085 und/sol while the sector is at 0.13 und/sol. Previously, studies have been presented, seeking to solve similar problems and obtaining minimally positive results, which is why the motivation to achieve favorable results to ensure that the MSEs in the sector can develop optimally with the support of tools such as 5S, TPM, and innovative technologies such as digitization, thus allowing better recording of their data. The application of this methodology is designed through a pilot in the apparel area of the company, allowing it to achieve a positive result by increasing productivity by 0.10 sol/unit. It can be concluded that this methodology allows solving the problems addressed and optimizing the processes of the case study. Full article

This research aims to investigate, using the C-A-B theory, the buying decision-making processes of Gen Z consumers in the United States when exposed to fast fashion brand advertising messages including greenwashing elements. Responses of 345 valid participants from the Amazon Mturk platform were analyzed through Mplus 8.11 and SPSS 29. Two-step, structural equation modeling was implemented to test the hypothesis. Additionally, 5000 bootstrapping iterations were used to examine the indirect effects. Study findings indicated that Gen Z consumers responded positively and negatively to fast fashion brands’ product promotional messages. Despite feeling skeptical and betrayed over the greenwashing assertion, they intend to purchase the goods. A contributing factor to this unforeseen purchasing intention may be their indifference towards environmental concerns. Moreover, when greenwashing assertions are infused with product advantages through strategic ingenuity and aligned with the specific demands of certain generations, the perception of positive emotional reaction supersedes the negative, hence facilitating the purchase of the green product. Furthermore, there is evidence of optimism biases, a cognitive bias where they exaggerate their capacity to identify instances of greenwashing, prioritize more on their certain needs, and underestimate the associated environmental risk for others. This clarifies the paradoxical buying patterns of Gen Z consumers. Although Gen Z is the youngest demographic, their tastes for fast fashion apparel may alter as they develop and their lifestyles adapt, influenced by both positive and negative emotional reactions to fast fashion brands. Consequently, the fast fashion business must retain this customer by utilizing sustainability messaging instead of misleading greenwashing assertions in the future. Full article

Overconsumption and unplanned disposal of garments result in millions of tons of textile products going to landfills. Understanding the environmental benefits and impact of various recycling options is crucial for integrating recycling into the apparel waste stream. This study aims to assess the environmental impacts of products made from post-consumer textile waste fibers, highlighting the importance of closed-loop textile supply chains in developing countries. Using Open LCA software, the cradle-to-gate approach for life cycle assessment is used to calculate the environmental impacts of post-consumer textile waste, virgin cotton, virgin polyester fibers, and their blends in two different scenarios. The life cycle inventory data for functional units (1000 kg apparel) has been collected from the industrial units and the Ecoinvent v3.0 database. The results of 16 environmental impact categories are computed, showing that textile products made from virgin cotton fiber have 60% more global warming potential than those made from post-consumer textile waste fibers. Hence, the environmental impact of textile products can be controlled by recycling them. Consumption of post-consumer textile waste fiber is the key to reducing the new material needs in the textile supply chain. The closed-loop apparel supply chain can help developing countries generate maximum financial value with minimal environmental damage. In developing countries, value extraction from post-consumer textile waste recycling is essential to meet international consumer demands for cleaner production. Full article