An analysis of strategies for adopting blockchain technology in the after-sales service supply chain

In this paper, we explore strategies for implementing blockchain technology in a supply chain where a manufacturer outsources base warranty (BW) repairs to a retailer and the retailer offers additional after-sales service. We developed a mathematical model and calculated the optimal strategies for supply chain members based on the traditional service platform (TSP), in which the retailer does not use blockchain technology, and on the blockchain service platform (BCSP), where the retailer uses blockchain technology to let the consumer track and trace after-sales service. Our analyses found that the benefits of BCSP include gaining consumers' trust and earning reward tokens as an appreciation, however its implementation costs make it not always the ideal choice. In addition, based on the combined analysis of reward-tokens and consumers' trust, we discovered triple win regions, where in one of the regions the BCSP benefits manufacturer and retailer simultaneously, but only if the reward-token value exceeds a threshold. The threshold is based on consumers' trust level, the failure rate of a product, and the cost of blockchain installation and operation. At the end, numerical analysis was conducted to validate the analytical results.

Automated summary

In this paper, the authors explore strategies for implementing blockchain technology in a supply chain scenario where a manufacturer outsources base warranty repairs to a retailer. They develop a mathematical model and calculate optimal strategies for supply chain members based on both traditional service platform (TSP) and blockchain service platform (BCSP). The results show that while BCSP offers benefits such as gaining consumers' trust and earning reward tokens, its implementation costs make it not always the ideal choice. They also identify triple win regions where BCSP benefits both manufacturer and retailer simultaneously, but only if the reward-token value exceeds a threshold based on consumers' trust level, product failure rate, and blockchain installation and operation costs. Numerical analysis validates the analytical results.