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	<title>Definition:Supply chain disruption - Revision history</title>
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	<updated>2026-04-30T13:00:32Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;🔗 &amp;#039;&amp;#039;&amp;#039;Supply chain disruption&amp;#039;&amp;#039;&amp;#039; is an interruption or breakdown in the flow of goods, materials, or services along interconnected production and distribution networks—an exposure that the insurance industry encounters both as a risk to underwrite and as a source of [[Definition:Claim | claims]] across multiple lines of business. [[Definition:Business interruption insurance | Business interruption]], [[Definition:Contingent business interruption insurance | contingent business interruption]], [[Definition:Marine cargo insurance | marine cargo]], [[Definition:Trade credit insurance | trade credit]], and [[Definition:Product recall insurance | product recall]] coverages all respond to various facets of supply chain failure. Events ranging from natural catastrophes and pandemics to port congestion and cyberattacks on logistics providers can cascade through global networks, amplifying [[Definition:Loss | losses]] far beyond the point of origin.&lt;br /&gt;
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⚙️ When a supply chain disruption triggers an insured event, the claims process often involves tracing indirect and interdependent losses across multiple [[Definition:Policyholder | policyholders]] and geographies. A fire at a single semiconductor plant, for instance, can generate [[Definition:Contingent business interruption insurance | contingent business interruption]] claims from dozens of manufacturers that depend on that supplier—each requiring forensic accounting to isolate covered losses from ordinary market fluctuations. [[Definition:Underwriting | Underwriters]] evaluate this exposure by mapping key supplier dependencies, analyzing geographic concentration, and stress-testing scenarios. Advanced [[Definition:Catastrophe model | catastrophe models]] and [[Definition:Data analytics | data analytics]] platforms have become essential tools, enabling [[Definition:Insurance carrier | carriers]] and [[Definition:Reinsurer | reinsurers]] to quantify accumulation risk that traditional approaches often missed.&lt;br /&gt;
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💡 The COVID-19 pandemic thrust supply chain disruption into the spotlight, revealing significant gaps in coverage and exposing the limitations of standard [[Definition:Policy language | policy language]] around physical-damage triggers. In response, the industry has developed more explicit [[Definition:Policy endorsement | endorsements]], parametric products tied to logistics indices, and specialized coverages for non-physical perils. For [[Definition:Risk management | risk managers]] and brokers, supply chain resilience has moved from a procurement concern to an [[Definition:Enterprise risk management (ERM) | enterprise risk management]] priority, driving demand for integrated insurance solutions that address both first-party and third-party vulnerabilities across the value chain.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Business interruption insurance]]&lt;br /&gt;
* [[Definition:Contingent business interruption insurance]]&lt;br /&gt;
* [[Definition:Trade credit insurance]]&lt;br /&gt;
* [[Definition:Catastrophe model]]&lt;br /&gt;
* [[Definition:Parametric insurance]]&lt;br /&gt;
* [[Definition:Enterprise risk management (ERM)]]&lt;br /&gt;
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