Analysis of manufacturing and retailer blockchain decision based on resource recyclability

• Published in: Nonlinear engineering Vol. 14; no. 1; pp. 1257 - 68
• Main Author: Wang, Yao
• Format: Journal Article
• Language: English
• Published: Berlin De Gruyter 22.04.2025; Walter de Gruyter GmbH
• Subjects: Blockchain; blockchain decision making; Closed loops; closed-loop supply chain; Decisions; game models; Manufacturers; Manufacturing; Recyclability; recycling; Retail sales; Retail stores; retailers; Sales; sensitivity coefficients; service levels; Supply chains
• ISSN: 2192-8029; 2192-8010; 2192-8029
• DOI: 10.1515/nleng-2024-0089

The current resource recycling model has problems such as asymmetric information on recycling topics, distrust, and low efficiency of the actual recycling system. Therefore, a closed-loop supply chain model led by manufacturers is studied and constructed, and manufacturing and retailer blockchain decisions are proposed. At the same time, numerical examples are conducted to verify the model. The results show that both direct and retail sales are proportional to the sensitivity coefficient, and the prices of retail and direct sales using blockchain are lower than those without blockchain, with the former remaining between 800 and 850. When the unit cost of adopting blockchain is 3, there is no intersection between the profits of adopting and not adopting blockchain. The former is always greater than the latter and the gap is becoming larger, with a minimum of 364,655 yuan, which is much higher than the highest value of the latter. The direct and retail sales of the two models decrease as the unit cost of blockchain increases. Among them, retail sales have always been lower than direct sales sales, with the former maintained between 140 and 150 and the latter maintained between 280 and 295. The improvement of service level has led to an increasing trend in wholesale, retail, and direct sales prices. Overall, the manufacturer-led closed-loop supply chain model intuitively displays the changing trends of different variables, and the decisions proposed based on this can effectively guide manufacturers and retailers in the timing of applying blockchain technology.