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The purpose of this paper is to investigate remanufacturing operational strategies considering uncertain quality of end-of-life (EOL) products and differential consumers’ willingness-to-pay (WTP) for new products and provide suggestions on the remanufacturing mode selection for the original equipment manufacturer (OEM).

This study considers three remanufacturing modes, i.e. in-house, outsourcing and authorization modes. By establishing and comparing decision models of three modes from the perspectives of profit, consumer surplus and environment, the optimal remanufacturing mode is discussed.

The results suggest that if the OEM’s remanufacturing capability is high, the in-house mode brings to the highest environmental performance, OEM’s profit and consumer surplus. Otherwise, the outsourcing mode (authorization) is the best benefit to environment (consumers if the unit production cost of new products is not too high). As for the preference of two decision-makers to outsourcing and authorization modes, if the difference of consumers’ WTP for new products is low, the OEM prefers the outsourcing mode; otherwise, the OEM prefers the authorization mode. The preference of the third-party remanufacturer (TPR) to remanufacturing mode is affected by consumers’ WTP for remanufactured products, WTP difference for new products and remanufacturing quality level standard.

These results can provide operational insights into how to select remanufacturing mode when the quality of EOL products is uncertain and consumers’ WTP for new products is different under three remanufacturing modes.

This paper is among the first to investigate the joint effects of EOL products’ uncertain quality and differential consumers’ WTP for new products on the operational strategies and performance under different remanufacturing modes.

This research aims to find out the reasons why Chinese people prefer domestic products. The authors examine the effect of consumer ethnocentrism (CE), social norms (SNs) and national identity (NI) on willingness to buy (WTB) domestic products in two time points and test the product category differences and age group differences.

Two survey studies (n₁ = 314; n₂ = 346) were conducted in China in 2021 and 2022, respectively. The authors measured CE, SNs, NI and WTB domestic products in both studies and WTB four categories of products in study 2. Multiple hierarchical linear regression was conducted to test the hypotheses.

In study 1, the authors found that SNs and NI significantly predicted WTB domestic products, but CE did not. In study 2, the authors found that all three indicators significantly predicted WTB domestic products. CE played a significant and consistent role in different product categories, while SNs and NI had inconsistent effects. NI predicted WTB domestic products for younger people but not for older people.

This research is the first to examine CE, SNs and NI in the same study and the first to explore the role of SNs and NI in WTB domestic products in China. It promotes the understanding of CE and other related factors, increases the knowledge of Chinese consumers’ purchasing behavior and indicates the power of the situation. Practical implications are also discussed.

The range of applications of the currently available biomass selective laser sintering (SLS) parts is limited and low-quality. This study aims to demonstrate the effects of the various processing parameters on the dimensional accuracy, bending strength, tensile strength, density and impact strength of the Prosopis chilensis/polyethersulfone (PES) composites (PCPCs) that were produced by SLS. The various processing parameters are laser power, scan speed, preheating temperature, scan spacing and layer thickness. In addition, the authors’ studied the effects of PCP particle size on the mechanical properties of the PCPCs.

The PCPC specimens were printed using an AFS SLS machine (additive manufacturing). The bending, tensile and impact strengths of the specimens were measured using a universal tensile tester. The dimensional accuracy of the bending specimens was determined by a Vernier caliper. The formability of the PCPC at various mixing ratios of the raw materials was earlier investigated by single-layer sintering experiments (Idriss et al., 2020b). The microstructure and particle distribution of the various PCPC specimens were analyzed by scanning electron microscopy (SEM).

The mechanical strengths (bending, tensile and impact strengths and density) and the dimensional accuracy of the PCPC SLS parts were directly and inversely proportional, respectively, to the laser power and preheating temperature. Furthermore, the mechanical strengths and dimensional accuracy of the PCPC SLS parts were inversely and directly proportional, respectively, to the scanning speed, scan spacing and layer thickness.

PCPC is an inexpensive, energy-efficient material that can address the drawbacks of the existing SLS parts. It is also eco-friendly because it lowers the pollution and CO₂ emissions that are associated with waste disposal and SLS, respectively. The optimization of the processing parameters of SLS in this study produced high-quality PCPC parts with high mechanical strengths and dimensional accuracy that could be used for the manufacture of the roof and wooden floors, construction components and furniture manufacturing.

To the best of the authors’ knowledge, this study is among the first to elucidate the impact of the various SLS processing parameters on the mechanical properties and dimensional accuracy of the sintered parts. Furthermore, novel PCPC parts were produced in this study by SLS.

Selective laser sintering (SLS) is an essential technology in the field of additive manufacturing. However, SLS technology is limited by the traditional point-laser sintering method and has reached the bottleneck of efficiency improvement. This study aims to develop an image-shaped laser sintering (ISLS) system based on a digital micromirror device (DMD) to address this problem. The ISLS system uses an image-shaped laser light source with a size of 16 mm × 25.6 mm instead of the traditional SLS point-laser light source.

The ISLS system achieves large-area image-shaped sintering of polymer powder materials by moving the laser light source continuously in the x-direction and updating the sintering pattern synchronously, as well as by overlapping the splicing of adjacent sintering areas in the y-direction. A low-cost composite powder suitable for the ISLS system was prepared using polyether sulfone (PES), pinewood and carbon black (CB) powders as raw materials. Large-sized samples were fabricated using composite powder, and the microstructure, dimensional accuracy, geometric deviation, density, mechanical properties and feasible feature sizes were evaluated.

The experimental results demonstrate that the ISLS system is feasible and can print large-sized parts with good dimensional accuracy, acceptable geometric deviations, specific small-scale features and certain density and mechanical properties.

This study has achieved the transition from traditional point sintering mode to image-shaped surface sintering mode. It has provided a new approach to enhance the system performance of traditional SLS.

An important consideration in the recovery strategies and performance of any given returned product is to make appropriate decisions for post-use. This paper aims to examine how the small and medium manufacturing enterprises can utilise a model-driven collaborative decision support system to evaluate product recovery strategies and performance.

An optimisation model using a genetic algorithm (GA) approach is developed to assess product recovery plans for any returned products based on the decisions of component reuse, remanufacture and recycle potentials. The model evaluates the key decisions of cost, time, quality and waste, and proposes an optimal recovery plan for manufacturer. A case study was also conducted using the proposed model to evaluate and examine different air compressor piston-types with recovery strategies.

Assessing a product recovery plan for any product is a challenge to the manufacturer due to higher operating costs associated with recovery. The nature of this challenge is complex. In this study, the results indicate that a developed optimisation model using a GA can assess the utilisation value of used products by considering suitable recovery strategies for the components and/or parts to be appropriately reused, remanufactured and recycled upon return.

The developed model assesses utilisation values of returns by considering both key decisions associated with returned products, and aspects of complexity of operational processes.

This research contributes to the practical understanding of product recovery strategies and extended producer responsibility using a case study. Also, the significance of this research is to provide a simple method of proposing an optimal recovery plan for any given returned product within a decision support system. Another innovation of the developed model is that an optimal recovery plan considers the trade-off decisions of cost, time, quality and waste aspects.

India generates around two million tonnes of e-waste every year, and it is increasing at a very high rate of 30%. However, due to inefficient handling of infrastructure and limited number of collection centres along with the absence of proper incentive structure for producer and recyclers, 95% of e-waste reaches to unorganized sector for disposal. Consumers are not aware of the need of proper e-waste disposal and in absence of proper motivation and they are not inclined towards recycling process. Therefore, this paper aims to identify the best practices of e-waste take adopted all over the world to implement effective policy interventions for e-waste management in India and other emerging economies.

This paper has recommended preventive as well as curative policy interventions on the basis of best e-waste management practices of Germany, Italy and Japan; life cycle assessment of e-waste; and SWOT analysis of Indian electronic product industry.

Preventive measures include a deposit refund scheme wherein a consumer will be responsible for depositing a refundable fees during the purchase of the product. The amount should be arrived at keeping in mind cost involved in handling e-waste and ensure some motivation for the consumers to give back used product. To ensure proper tracking of the product, Radio frequency identification (RFID) tags can be used which will be activated at the time of sale of product and remain so until product reaches some designated recycling space or recycler and consumer is returned back his deposit fee. Subsidy to the producers and recyclers can also be provided by the government to further incentivize the whole process. An example of mobile phones has been used to understand the proposed deposit fees and associated cost structure. Curative measures to reduce the generation of e-waste in long run for managing the discussed issue have also been proposed.

This study is an initiative for proposing and implementing best e-waste take back techniques in a developing economy like India by acquiring learnings from best/advanced economies in terms of e-waste take back.

This study aims to explore the environmental and easy-care benefits of diacetate fiber blended textiles, emphasizing their potential in enhancing sustainability and reducing carbon emissions in the textile industry. It addresses the pressing need for innovative materials that combine functional advantages with reduced environmental impacts.

A comprehensive series of experiments was conducted to assess the easy-care properties of fabrics blended with diacetate fibers. These properties include stain resistance, wash dimensional stability and antistatic performance, using standardized textile testing methods. The experimental setup involved a variety of fabric blends tested under simulated conditions that mimic real-world usage to evaluate the effectiveness of diacetate fibers in practical applications.

The inclusion of diacetate fibers significantly enhances several easy-care properties of the textiles. Fabrics containing these fibers showed improved stain resistance, particularly in blends with polyester and cotton, which also exhibited better dimensional stability after washing. Antistatic properties were notably better in diacetate-polyester blends compared to other fiber compositions. Furthermore, the research demonstrated that these fabrics require fewer wash cycles, effectively reducing water and energy consumption, thereby contributing to environmental sustainability.

This study is among the first to systematically quantify the multiple benefits of diacetate fiber blends in textiles, providing a dual focus on environmental impact and practical textile care. The findings offer new insights into the use of sustainable fiber technologies in reducing the ecological footprint of the textile industry while maintaining material performance, supporting the advancement toward a more sustainable fashion industry.