Amid increasingly stringent environmental regulations and Chinese “dual-carbon” goals, the manufacturing sector faces simultaneous pressures of economic performance and environmental responsibility. Remanufacturing, with its advantages in energy savings, emissions reduction, and resource reuse, has become a key pathway to green manufacturing; however, market growth is hampered by consumers’ distrust of product quality and information opacity. This study incorporates potential manufacturer encroachment and introduces blockchain technology into the remanufacturing market. We build a two-echelon supply chain model consisting of a manufacturer and a retailer, and develop three variants: a baseline model, a blockchain cost-sharing model, and a manufacturer-encroachment model. Using a Stackelberg game framework, we analyze the optimal decisions and profit outcomes of the manufacturer and the retailer under different blockchain cost levels, degrees of consumer awareness, and encroachment intensities. The results show that blockchain enhances consumer trust by improving information transparency, but its economic benefits depend critically on implementation costs and consumers’ understanding of product information. When encroachment intensity is moderate, both the manufacturer and the retailer can achieve a win–win outcome, with higher overall supply-chain efficiency and increased sales of remanufactured products. Further analysis reveals a misalignment between the manufacturer’s profit-maximizing point and the environmentally optimal outcome; this can be reconciled through piecewise government subsidies. This paper enriches research at the intersection of blockchain and green supply-chain governance and provides theoretical guidance and practical implications for firms formulating remanufacturing strategies and for policymakers designing green incentive mechanisms.

Amid increasingly stringent environmental regulations and Chinese “dual-carbon” goals, the manufacturing sector faces simultaneous pressures of economic performance and environmental responsibility. Remanufacturing, with its advantages in energy savings, emissions reduction, and resource reuse, has become a key pathway to green manufacturing; however, market growth is hampered by consumers’ distrust of product quality and information opacity. This study incorporates potential manufacturer encroachment and introduces blockchain technology into the remanufacturing market. We build a two-echelon supply chain model consisting of a manufacturer and a retailer, and develop three variants: a baseline model, a blockchain cost-sharing model, and a manufacturer-encroachment model. Using a Stackelberg game framework, we analyze the optimal decisions and profit outcomes of the manufacturer and the retailer under different blockchain cost levels, degrees of consumer awareness, and encroachment intensities. The results show that blockchain enhances consumer trust by improving information transparency, but its economic benefits depend critically on implementation costs and consumers’ understanding of product information. When encroachment intensity is moderate, both the manufacturer and the retailer can achieve a win–win outcome, with higher overall supply-chain efficiency and increased sales of remanufactured products. Further analysis reveals a misalignment between the manufacturer’s profit-maximizing point and the environmentally optimal outcome; this can be reconciled through piecewise government subsidies. This paper enriches research at the intersection of blockchain and green supply-chain governance and provides theoretical guidance and practical implications for firms formulating remanufacturing strategies and for policymakers designing green incentive mechanisms.

Under the backdrop of “dual carbon” targets, the remanufacturing of waste products has attracted much attention from the government because it contributes to reducing carbon emissions in production and alleviating environmental pollution. This study formulates a four-party evolutionary game model of “government-manufacturer-recycler-consumer” to explore in depth the effects of carbon tax, recycling regulations, and consumer environmental awareness on remanufacturing decisions. The study results show that: The recycling standardization practiced by recyclers positively influences whether manufacturers actively engage in remanufacturing, and manufacturers in different industries have varying sensitivities to recycling standardization; (2) Carbon tax policy is conducive to promoting manufacturers’ active remanufacturing, but manufacturers in different industries have varying sensitivities to carbon taxes; (3) Consumer environmental awareness significantly influences recycling standardization, and the extent of this influence is consistent across different industries; (4) Strict government regulation of recyclers and consumers can incentivize manufacturers, especially those in industries lacking carbon emission advantages, to actively remanufacture under conditions of low-carbon taxation. Based on the above conclusions, this study proposes targeted strategies to offer reference for promoting the low-carbon development of the manufacturing industry.

The efficient management of reverse supply chains, particularly the collection and remanufacturing of defective products, plays a critical role in reducing production costs and determining the final pricing of remanufactured products. While existing research extensively explores warranty policies and maintenance services to enhance customer satisfaction and profitability, the integration of vehicle routing for product collection and sustainability advertising strategies remains underexplored. Addressing this gap, this study introduces a comprehensive two-stage reverse supply chain model that captures the interactions between manufacturers (MFRs) and remanufacturers (RMFRs) through a Stackelberg game framework. Methods: The proposed model incorporates interactive production constraints, vehicle routing problem (VRP) for optimizing collection logistics, and sustainability advertising to influence consumer behavior towards remanufactured products. Utilizing mixed nonlinear programming (MINLP) and nonlinear programming (NLP) techniques, the model simultaneously optimizes pricing strategies, collection efforts, and advertising investments for both MFRs and RMFRs. Numerical analyses are conducted to solve the optimization problems, accompanied by sensitivity analyses to evaluate the impact of key parameters such as production costs, defect rates, and routing constraints. The numerical results demonstrate that increases in production costs for MFRs lead to higher selling prices, thereby reducing their profit margins and negatively impacting RMFR profitability due to decreased demand for remanufactured products. Sensitivity analysis reveals that higher defect rates (α ≥ 0.8) significantly diminish overall supply chain profitability by lowering customer acceptance of RMPs. Additionally, expanding the allowable vehicle routing distance L effectively reduces collection costs, enhancing RMFR profits and enabling greater investment in sustainability advertising. The study shows that the integration of VRP and advertising strategies proves crucial in balancing cost efficiencies and market competitiveness, ultimately fostering a more sustainable and profitable reverse supply chain.

Many industries rely heavily on the availability and reliability of complex structural and functional components to execute operations efficiently. However, failure of components during service occurs due to exposure to unfavourable operating conditions, causing wear and tear of these components. The damage will result in costly downtime and potential safety hazards. Repairing, remanufacturing and refurbishing these complex parts is critical. Restoring broken structures into operation ensures the smooth operation of the industry, thus preventing losses. Conventionally, repairing parts poses a challenge. However, Wire-arc additive manufacturing (WAAM), which employs the welding principle, has revolutionised component repairing or remanufacturing. This paper reviews the literature on manufacturing complex parts, repair, remanufacture and refurbishment of broken structural and functional parts using WAAM technology. This paper also highlights the various strategies and techniques currently used to improve the quality of WAAM 3D printed parts. The study further covers the immense potential of WAAM in revolutionising the remanufacturing and repair of components. The review study has provided a roadmap for future research and development to take full advantage of this new cutting-edge manufacturing technology.

Leasing currently plays an important role for the global economy. The equipment leasing earning acquired through leasing rather than cash or credit, has reached a dominant level. With this regards, this paper represents a basic mixed-integer non-linear programming model. The study deliberates a firm that leases new products and remanufactured leased merchandises. The proposed study considers the end of lease contract, which contains several options: Return the leased product, return the used product and purchase other remanufactured product and buying the leased product. The primary objective is to maximize the discrepancy between the revenue and the costs of a firm, which leases new products as well as selling remanufactured ones. The product deteriorates with time and the difference between a new and used good is obvious. The product must undergo a remanufacturing procedure before being sold as a remanufactured product.

Extension of product’s useful life through product recovery options can help to reduce the consumption of natural resource and environmental pollution. Remanufacturing operation is considered as the most suitable product recovery option for automotive parts. The objective of this paper is to identify the barriers and the critical success factors in automotive engine remanufacturing. A case study is carried out in an automotive engine remanufacturing plant, situated in the south-western part of India. In this case study, the strategic, tactical and operational characteristics of the remanufacturing process are explored, what are the barriers they have faced while remanufacturing and to overcome those barriers, what strategies they have adopted are also analyzed. A fuzzy technique for order performance by similarity to ideal solutions (TOPSIS) is used to identify the critical success factor to overcome the roadblocks of remanufacturing. As this study is directed by the experts’ opinion from the remanufacturing plant which proves its practical implication. This case study is also useful for the other OEM remanufacturers in India.