THREAT ASSESSMENT: Geopolitical Resilience Gaps in China+1 Sourcing Expose Thai Supply Chains to Concentration Risk
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Thai manufacturers are recalibrating supplier evaluation frameworks to embed geopolitical resilience as a formal criterion, with some now weighting tariff exposure above lead time. If geographic diversification persists without internal supplier resilience, cost advantages may remain exposed to disruption.
Bottom Line Up Front: Thai manufacturers pursuing China+1 strategies face significant geopolitical disruption risk, but supplier resilience is increasingly determined by firm-level attributes rather than country diversification alone—requiring a structured evaluation framework to avoid false security (Thippayakraisorn & Thuengnaitham, 2026).
Threat Identification: The primary threat is overreliance on traditional supplier selection criteria (e.g., unit cost, lead time) while underweighting geopolitical risk dimensions such as tariff exposure, supply chain concentration, and re-coupling capacity. Firms assuming geographic diversification inherently reduces risk may remain vulnerable if suppliers lack internal resilience (Thippayakraisorn & Thuengnaitham, 2026).
Probability Assessment: High likelihood (≥70%) of continued and increasing geopolitical disruption through 2027 due to sustained US–China trade tensions and expanding export controls. Supplier concentration in single-source or politically exposed corridors will amplify exposure, particularly for firms without dynamic risk assessment models (Thippayakraisorn & Thuengnaitham, 2026).
Impact Analysis: Unmitigated, this could result in cascading supply disruptions, increased landed costs due to tariffs, and loss of market responsiveness. The study shows that supply chain concentration risk (weight = 0.063) outweighs lead time (0.036), indicating a shift in risk hierarchy with broad operational and financial consequences (Thippayakraisorn & Thuengnaitham, 2026).
Recommended Actions: 1) Adopt a CQD+G (Cost, Quality, Delivery + Geopolitical Resilience) evaluation model; 2) Implement Fuzzy AHP–TOPSIS or similar MCDM tools to quantify hard-to-assess risks; 3) Prioritize suppliers with diversified logistics, low tariff exposure, and proven re-coupling capacity; 4) Conduct quarterly sensitivity analyses to detect ranking shifts under varying geopolitical weight scenarios.
Confidence Matrix:
- Threat Identification: High confidence (supported by expert elicitation and multi-criteria analysis)
- Probability Assessment: Moderate to High confidence (based on ongoing trade policy trends and model sensitivity)
- Impact Analysis: High confidence (empirically derived weights reflect real procurement trade-offs)
- Recommended Actions: Moderate confidence (framework validated in Thai context; scalability to other regions requires further testing) (Thippayakraisorn & Thuengnaitham, 2026).
Published June 21, 2026