The potential of AI-enabled quality control facing high inspection standard in resilient cross-border operations
研究了全球制造商在面临高于国际标准的进口检验时，是否应采用基于AI的质量控制方案，发现当海关处置成本适中且AI成本高低不同时，AI策略更优，即使大部分产品已达标且客户质量担忧微弱时也可能适用。
Technology Barriers to Trade (TBT) is commonly observed under which import inspection standards exceed international benchmarks. In such cases, traditional manual inspection may lead to significant supply uncertainty due to the compliance issues encountered during customs clearance, resulting in customers’ quality concerns. However, with the development of artificial intelligence (AI), AI-based quality control is an effective way to improve yield under high standards. To investigate whether a global manufacturer should adopt the AI-based quality control solution, we consider a global manufacturer with an overseas and a local manufacturing division, where the two manufacturing divisions sell products through their exclusive retailers. We find that AI inspection to meet TBT requirements will be preferred when the customs disposal cost is moderate and the AI cost is either low or high. Interestingly, we find that AI strategy may be better even when most overseas products have met the TBT requirements and customers’ quality concerns are faint. Global manufacturers are therefore advised to carefully assess market conditions and the co-opetition relationship between two manufacturing divisions. We highlight the substitutable relationship between tariff and TBT requirement as the barrier to import and recommend a lower tariff to harness the effectiveness of TBT.